appendix d bioavailability technical memorandumwheat ridge, colorado 80215 303-274-5400 page 1 of...

Appendix D

Bioavailability Technical Memorandum


Colorado Smelter OU1Revision Date: 6/01/2017

BIOAVAILABILITY

COLORADO SMELTER SUPERFUND SITE

PUEBLO, PUEBLO COUNTY, COLORADO

VAILABILITY TECHNICAL MEMORANDUM

COLORADO SMELTER SUPERFUND SITE

PUEBLO, PUEBLO COUNTY, COLORADO

June 1, 2017

Revision 1

Prepared for:

U.S. EPA Region 8

Denver, Colorado

Prepared by:

3000 Youngfield Street, Ste. 300

Wheat Ridge, Colorado 80215

303-274-5400

Page 1 of 27

TECHNICAL MEMORANDUM


Colorado Smelter OU1 Page 2 of 27Revision Date: 6/01/2017

Table of ContentsExecutive Summary...................................................................................................................... 4

1.0 Introduction..................................................................................................................... 4

2.0 Methods.......................................................................................................................... 4

2.1 Soil Sample Selection and Preparation ................................................................................... 5

2.2 In Vitro Bioaccessibility Test ................................................................................................ 5

3.0 Results............................................................................................................................ 6

3.1 In Vitro Bioavailability......................................................................................................... 6

4.0 Summary and Conclusions ................................................................................................ 7

References................................................................................................................................... 9

Tables ........................................................................................................................................12

Figures .......................................................................................................................................19

Attachment A: Lead and Arsenic Speciation in dust and Soils along with In Vitro Bioassay, Combined

Report

List of Acronyms

ATSDR Agency for Toxic Substances and Disease Registrybgs below ground surfaceDMA Demonstration of Methods ApplicabilityDU Decision UnitEMPA Electron Microprobe AnalysisHHRA Human Health Risk AssessmentIVIVC In Vivo-In Vitro CorrelationICP Inductively Coupled PlasmaIEUBK Integrated Exposure Uptake Biokinetic Modeli-ROD interim Record of DecisionIVBA In Vitro Bioaccessibility AssayOU Operable UnitLEGS Laboratory for Environmental and Geological StudiesMS Mass SpectrometerNAS National Academy of SciencesPWT Pacific Western TechnologiesQAPP Quality Assurance Project PlanQC Quality ControlRBALPRelative Bioavailability Leaching ProcedureRBA Relative BioavailabilityRI Remedial InvestigationSBRC Solubility/Bioavailability Research Consortium



SOP Standard Operating ProcedureUSEPA/EPA United States Environmental Protection Agency

Units of Measurement

°C degrees Celsiusg gramkg kilogramM molarmg milligrammL millilitermm millimeterµm micron or micrometer

Definitions

Bioavailability (BA) – The fraction of an ingested dose (i.e., in vivo) that crosses the gastrointestinal

epithelium and becomes available for distribution to internal target tissues and organs.

Absolute bioavailability – Bioavailability expressed as a fraction (or percentage) of a dose and is the

fraction of the dose of a chemical that enters and is absorbed by the body after being ingested.

Relative bioavailability (RBA) – The ratio of the bioavailability of a metal in one exposure context (i.e.,

physical chemical matrix or physical chemical form of the metal) to that in another exposure context. For

this method, RBA is defined as the ratio of bioavailability of lead in soil to lead in water. Relative

bioavailability is a measure of the difference in absorption between different forms of a chemical or

between different dosing vehicles (e.g., lead in water, food, or soil). In risk assessment, the relative

bioavailability is the ratio of the absorbed dose of a chemical in the environmental exposure medium

(e.g., soil) to its absorbed dose in the dosing vehicle used in the critical study upon which its toxicity is

estimated. Use of relative bioavailability information in site-specific risk assessments adjusts exposure

estimates when the medium of exposure in the exposure assessment differs from the medium of exposure

associated with the toxicity value (cancer slope factor, reference dose value, etc.).

Bioaccessibility – An in vitro measure of the physiological solubility of the metal that may be available

for absorption into the body.

Batch – A group of analytical and control/quality control (QC) samples that are extracted simultaneously

and are typically limited to 20 environmental samples in addition to the batch QC samples.

Phosphate-amended soil – phosphate rich materials (e.g., fertilizers) applied to lead-contaminated soils

In vitro – outside the living body and in an artificial environment

In vivo – in the living body of an animal

In vitro bioaccessibility (IVBA) – the physiological solubility of the metal that may be available for

absorption into the body



EXECUTIVE SUMMARY

Soil testing to estimate the site-specific relative oral bioavailability of arsenic and lead was one of the dataneeds identified for the Human Health Risk Assessment (HHRA) and to support development of theConceptual Site Model for the Operable Unit 1 (OU 1) Remedial Investigation (RI) (PWT, 2015c). Basedon soil sample results from the DMA (Demonstration of Methods Applicability) and the initial 200 homesfrom the RI, a total of 53 samples were selected for bioaccessibility testing and estimation of relativebioavailability (12 samples from the DMA, including three waste pile samples, and an additional 41samples from the RI). Samples were selected to represent the range of arsenic/lead concentrations and toprovide a spatially representative group of samples for the OU1 residential community. Soil samples fromdifferent depth intervals were included, even though residents are most likely to come into contact withsurface soil. Soil samples were selected to represent a range of different sample locations relative topotential Colorado Smelter sources. Soil samples were collected in accordance with the DMA QualityAssurance Project Plan (QAPP) (PWT, 2015a) and OU1 QAPP (PWT, 2015c). Dust samples were notincluded in this analysis.

1.0 INTRODUCTION

This technical memorandum summarizes the results of oral bioavailability of lead and arsenic in soilsamples from the Colorado Smelter Community Soils OU1 in Pueblo, Colorado. Lead and arseniccontamination present in residential yards may be attributed to historical aerial emissions from multiplesources, plus imported fill materials, historical use of lead arsenate and arsenical pesticides, leadedgasoline, non-refinery industrial impacts, or the presence of lead-based paint. This memorandumsummarizes the bioavailability of lead and arsenic and the degree to which these metals are likely todissolve in the gastrointestinal tract of children and other people who might ingest the soil. A separatetechnical memorandum will be prepared to summarize the geospeciation and mineral forms of arsenic andlead in the soil.

The information contained in this technical memorandum was gathered in accordance with the DMAQAPP (PWT, 2015a) and OU1 RI QAPP (PWT, 2015c). Given the timing of data collection and analysissummarized in this report, this technical memorandum is being provided as an interim report to supportan early action interim Record of Decision (i-ROD). These data will also:

• Provide data for the final RI Report for the Colorado Smelter, OU 1,• Assist the EPA’s determination of the nature and extent of smelter - related contamination at the

Site,• Support the EPA in conducting a HHRA, and• Further inform EPA’s site risk assessment and risk management personnel.

2.0 METHODS

The relative oral bioavailability of lead and arsenic was evaluated in 53 soil samples collected by PacificWestern Technologies (PWT) from 38 residential yards in the OU1 residential study area and three wastepile locations at the Colorado Smelter Site (former smelter area [OU2]), Pueblo, Colorado between April,2015 and March, 2016. All 53 samples were evaluated using the in vitro extraction test to measure thefraction of lead and arsenic that could become liberated in the human gastrointestinal tract and thus beavailable for absorption. The in vitro extraction testing was performed by Dr. John Drexler at theLaboratory for Environmental and Geological Studies (LEGS), University of Colorado at Boulder andreported in, Lead and Arsenic Speciation in Dust and Soils along with In Vitro Bioassay, CombinedReport (Drexler, 2017). The LEGS report is included as Attachment A.

2.1 Soil Sample Selection and Preparation

The 50 yard soil samples and three waste pile samples were selected to be spatially distributed across theOU1 residential study area and OU2 smelter area to represent the range of total lead and arsenicconcentrations (Figure 1). Samples were collected from varying depths between 0 and 18 inches belowground surface (bgs). Samples were selected to represent the range of arsenic/lead concentrations toprovide a spatially representative group of samples for the OU1 residential community based on theresults of the DMA (PWT, 2015b) and sampling of the first 200 properties during the OU1 RI. Tables 1aand 1b provide the lead and arsenic concentrations as well as sample identifiers indicating DU’s (AP forApron, BY for Back Yard, FY for Front Yard, GA for Garden Area, and PA for Play Area.

The University of Colorado LEGS in Boulder, CO, performed in vitro bioaccessibility (IVBA) tests.IVBA testing measures the fraction of a chemical that is solubilized from a soil sample under simulatedgastrointestinal conditions to represent the portion that is then available for absorption in the body. Soilsamples are prepared for IVBA testing by air drying (<40ºC) and then sieving the sample to obtain thefine-grained fraction for analysis (<250 microns). The <250 micron (µm) size fraction was used becausethis particle size is representative of that which adheres to children’s hands.

Further background on the development and validation of in vitro test systems for estimating lead andarsenic bioavailability can be found in; Ruby et al. (1993, 1996); Medlin (1997); Medlin and Drexler,1995; and Drexler, 1997 and 1998. Background information for the USEPA swine studies may be foundin Casteel et al., 2006 and in the USEPA Region 8 Center in Denver, Colorado (EPA, 2006; EPA 2007a;EPA 2007b; EPA 2007c; and EPA 2010). Calibration and validation of lead and arsenic in-vitro areprovided in Drexler and Brattin, 2007, and Brattin et al., 2013.

The total lead and arsenic concentrations in the <250 µm size fraction of each soil sample was estimatedusing USEPA Method 3050B digestions (hot nitric acid) followed by USEPA Method 6020B analysis[inductivity coupled plasma/mass spectroscopy (ICP/MS)]. Digestion and total lead and arsenic analyseswere conducted by LEGS.

2.2 In Vitro Bioaccessibility Test

The in vitro bioaccessibility tests were conducted according to the following Standard OperatingProcedures (SOPs): Bioavailability analysis for lead in site-specific matrices using US EPA’s “StandardOperating Procedure for an In Vitro Bioaccessibility Assay for Lead in Soil” (EPA, 2012b); andBioavailability analysis for arsenic in site-specific matrices using University of Colorado “StandardOperating Procedure In Vitro Bioaccessibility (IVBA) Procedure for Arsenic” (EPA, 2012c).

The in vitro test used to evaluate lead and arsenic in soil mimics the stomach phase of human digestionbecause the stomach phase alone was observed to correlate well with oral lead and arsenic bioavailabilitybased on values from animal studies (Ruby et al. 1999; Medlin 1997; Rodriguez et al. 1999). This is asimplified version of the original in vitro extraction test that included both stomach and intestinalincubation phases (Ruby et al. 1996).

Briefly, the apparatus used was a Plexiglas tank containing a 37 +/- 2 °C water bath with a flywheel thatdrove a rotor holding a series of bottles containing the extraction fluid and sample. The extraction fluidwas maintained near a pH of 1.5, using a buffered solution of 0.4 molar (M) glycine. One hundred (100+/- 0.5) milliliters (mL) of the extraction fluid and one gram +/- 0.5 (g) of test substrate were added toeach bottle, and the bottles were rotated end over end for one hour. After extraction, a sample was taken



directly from the bottle with a syringe. A 0.45-µm cellulose acetate disk filter (25 millimeter [mm]diameter) was attached to the syringe, and the extract was filtered into a sample vial for analysis. Filteredsamples were stored in a refrigerator at 4 °C until they were analyzed. Analysis for arsenic concentrationsoccurred within 1 week of extraction for each sample. Extracts were analyzed for lead and arsenicconcentrations following USEPA Method 6020B. The relative bioavailability for samples was determinedusing the Relative Bioavailability Leaching Procedure (RBALP) developed at the University of Colorado(Drexler and Brattin 2007 and Brattin et al. 2013). The procedure predicts gastrointestinal absorptivebioavailability of lead and arsenic. It has been calibrated to the USEPA Region 8 swine model and hasbeen independently validated.

3.0 RESULTS

3.1 In Vitro Bioavailability

Lead and arsenic bioavailability values were calculated for each sample by dividing the total mass ofmetal in the extract (extract concentration x extract volume) by the total mass of metal in the soil beingextracted (soil concentration x soil mass). The in vitro bioavailability results are summarized in Tables 1aand 1b. Tables 1a and 1b also include the total soil concentrations for lead and arsenic (operationallydefined as the lead and arsenic recovered by hot nitric acid by USEPA Method 3050B extraction).

LeadFor lead, USEPA (2012c) specifies use of a linear regression model (in vivo-in vitro correlation [IVIVC]model) developed by Drexler and Brattin (2007) to estimate relative bioavailability based on correlationsbetween in vitro and in vivo testing:

Relative Bioavailability = 0.878 x in vitro Bioaccessibility – 0.028

with in vitro bioaccessibility and relative bioavailability expressed as a fraction (not as a percent).

Summary statistics of relative bioavailability estimates for lead based on this regression are presented inTable 2a for all the 53 samples, for samples with soil lead concentrations less than 400 milligram perkilogram (mg/kg) and greater than 400 mg/kg, and for samples collected at depths of 0 and 6 inches bgs(i.e., including 0-1, 0-2 and 2-6 inch intervals), from 6-18 inches bgs, and three waste pile samples. Therelative bioavailability for lead was plotted versus lead concentration in soil in Figure 2a for samplescollected at depths of 0-6 inches bgs and in Figure 2b for samples collected at depths of greater than 6inches bgs.

The mean lead relative bioavailability was 63 percent for all samples. As shown in Table 2a, the meanlead relative bioavailability for residential soil samples increased to 65 percent. The mean lead relativebioavailability (61 percent) for residential soil samples in the low soil concentration range (less than 400mg/kg) was lower than the mean relative bioavailability (67 percent) for samples in the high soilconcentration range (greater than 400 mg/kg), while samples in the low soil concentration range had alarger variation in relative bioavailability (larger standard deviation) than samples in the high soilconcentration range. The mean relative lead bioavailability was 65 percent for shallow residential soilsamples (0-1 inches bgs, 0-2 inches bgs and 0-6 inches bgs combined). Mean relative bioavailability fordeep residential soil samples (6-18 inches bgs) was lower (61 percent). Deep soil samples had a largervariation in relative bioavailability than shallow soil samples. The mean lead relative bioavailability forthe three waste pile samples is 55% which is lower than any of the other sample populations.

---



For shallow residential soil samples, the relative bioavailability for lead exhibited a limited correlationwith soil lead concentration in the low concentration range, but did not correlate with soil leadconcentration in the high concentration range (Figure 2a). For deep residential soil samples, the relativebioavailability for lead did not correlate with soil lead concentrations in either the low concentrationrange or the high concentration range (Figure 2b). Figure 3 shows the lead relative bioavailability for allsamples including the three waste pile samples collected from the Colorado Smelter Site. Notably, 80percent of the residential soil samples lie above the default value of 60% (USEPA, 1994) for theIntegrated Exposure Uptake Biokinetic Model (IEUBK). The three waste pile samples have a lowerbioavailability (55%) than the residential soils and fall below the default value of 60% for the IEUBK.

ArsenicFor arsenic, the IVIVC model developed by Brattin et al (2013) was used to estimate relativebioavailability based on correlations between in vitro and in vivo testing:

Relative Bioavailability = 0.62 x in vitro Bioaccessibility + 19.7, with in vitro bioaccessibility andrelative bioavailability expressed as a percent (not as a fraction).

Summary statistics of relative bioavailability estimates for arsenic based on this regression are presentedin Table 2b for 48 samples (with detectable arsenic), for samples with soil arsenic concentrations less than100 mg/kg and greater than 100 mg/kg, and for samples collected at depths of 0 and 6 inches bgs (i.e.,including 0-1, 0-2 and 2-6 inch intervals), from 6-18 inches bgs, and three waste pile samples (0-2 inchinterval). The relative bioavailability for arsenic was plotted versus arsenic concentration in soil in Figure4a for samples collected at depth intervals between 0 and 6 inches bgs and in Figure 4b for samplescollected at depth intervals 6-18 inches bgs.

Five of the 53 samples were undetected in the extraction solution for arsenic therefore 48 sample resultswere used for the summary statistics. For arsenic, the mean relative bioavailability was 48 percent for 48samples which includes the three waste pile samples. For the 45 residential soil samples the mean relativebioavailability was also 48 percent. As shown in Table 2b and Figures 4a and 4b, the mean relativebioavailability for arsenic in residential soils was lower in the low soil arsenic concentration range (lessthan 100 mg/kg) (44 percent) than in the high soil concentration range (greater than 100 mg/kg) (58percent), and samples in the low soil concentration range had a larger variation in relative bioavailabilitythan samples in the high soil concentration range. The mean arsenic relative bioavailability (48 percent) inresidential soils for shallow soil samples (intervals between 0 and 6 inches bgs) was higher than the meanrelative bioavailability (45 percent) for deep soil samples (greater than 6 inches bgs). The mean arsenicrelative bioavailability for the three waste pile samples is 49% which is lower than the mean RBA forresidential soil samples greater than 100 mg/kg (58%).

The relative bioavailability for arsenic exhibited a limited correlation with soil arsenic concentration onlyin shallow soil samples (Figures 4a and 4b). Figure 5 shows the arsenic relative bioavailability for allsamples including the three waste pile samples collected from the Colorado Smelter Site. Approximately38 percent of the residential soil samples lie within the range of 95th percentile RBA values (53.3% lowerconfidence limit – 64% upper confidence limit RBA for 95% percentile) provided in Table 4 (WeightedRBA Summary Statistics and Confidence Limits) in the Compilation of Data on Relative Bioavailabilityof Arsenic in Soil (USEPA, 2012a) with only one sample above the 95th percentile RBA range (67%).

4.0 SUMMARY AND CONCLUSIONS



The mean lead relative bioavailability was 63 (+/- 8.2) percent for all samples and for residential soilsamples the mean increased to 65 (+/-8.2) percent. For samples with greater than 400 mg/kg lead therelative bioavailability was 67 (+/-4) percent, compared with 61 (+/-9.5) percent mean lead relativebioavailability for samples with less than 400 mg/kg lead. The mean relative bioavailability was greater(65 +/-6.6 percent) for shallow soil samples (from intervals between 0 and 6 inches bgs) compared with61 (+/-14.1) percent mean relative bioavailability for deeper soil samples (greater than 6 inches bgs).Although these differences are quite small, people would be expected to be exposed to the shallow soilsmore frequently. Therefore, the overall mean lead value of 65 percent appears acceptable for use in therisk assessment.

For arsenic, the mean relative bioavailability was 48 percent for the 45 residential soil samples. Forsamples with a soil concentration greater than 100 mg/kg the relative bioavailability was 58 percent,compared with 44 percent when arsenic was less than 100 mg/kg. Similar to lead, the mean arsenicrelative bioavailability (48 percent) for shallow soil samples (from intervals between 0 and 6 inches bgs)was higher than the mean relative bioavailability (45 percent) for deep soil samples (greater than 6 inchesbgs). Overall, the 48 percent relative bioavailability appears acceptable for use as a conservative estimateof arsenic relative bioavailability in the risk assessment.

Based on the preliminary geospeciation results from 12 soil samples (PWT, 2016), the lead relativebioavailabilities are consistent with the presence of a highly soluble lead form, cerussite, and less solublephases PbAsO and the enclosed Galena particles. Thus many of the soils lie above the default value of60% (USEPA, 1994) for the Integrated Exposure Uptake Biokinetic Model (IEUBK). Arsenic relativebioavailability values at 48% are consistent with the dominant speciation of PbAsO.



REFERENCES

Brattin,W. Drexler, J.,Lowneu, Y., Griffin, S.,Diamond, G., and Woodburry, L., 2013,Anin vitro method for estimation of arsenic relative bioavailability in soil. J. Toxicology andEnvir. Health, Part A. 2013;76(7):458-78. doi: 10.1080/15287394.2013.771765.

Casteel SW, Weis CP, Henningsen GM, Brattin WJ. 2006. Estimation of RelativeBioavailability of Lead in Soil and Soil-Like Materials Using Young Swine. EnvironHealth Perspect. 114:1162-1171. doi:10.1289/ehp.8852

Drexler, J.W., 1998. An in vitro method that works! A simple, rapid and accuratemethod for determination of bioavailability. EPA Workshop, Durham, NC.

Drexler, J.W., 1997, Validation of an In Vitro Method: A tandem Approach toEstimating the Bioavailability of Lead to Humans, IBC Conference on Bioavailability,Scottsdale, Az.

Drexler, J.W., and Brattin, W., 2007, An In Vitro Procedure for Estimation ofRelative Bioavailability: With Validation. Envir. Health Perspective. April.

Medlin, E., and Drexler, J.W., 1995. Development of an in vitro technique for thedetermination of bioavalability from metal-bearing solids. International Conference on theBiogeochemistry of Trace Elements, Paris, France.

Medlin, E.A., 1997, An In Vitro method for estimating the relative bioavailability of inhumans. A Masters thesis. Department of Geological Sciences, University of Colorado,Boulder.

Pacific Western Technologies (PWT). 2015a. Uniform Federal Policy Quality AssuranceProject Plan (QAPP) for Demonstration of Methods Applicability at Colorado Smelter,Revision 2. May.

PWT. 2015b. Demonstration of Methods Applicability at Colorado Smelter Data SummaryReport. November.

PWT, 2015c. Uniform Federal Policy Quality Assurance Project Plan (QAPP) for OU1Remedial Investigation at Colorado Smelter, November.

PWT, 2016. Soil Geospeciation Technical Memorandum 2 for OU1 Remedial Investigation atColorado Smelter, September.

Rodriguez RR, Basta NT, Casteel SW, Pace LW. 1999. An in vitro gastrointestinal method toestimate bioavailable arsenic in contaminated soils and solid media. Environ. Sci. Technol.33(4):642–649.



Ruby, M.W., A. Davis, T.E. Link, R. Schoof, R.L. Chaney, G.B. Freeman, and P. Bergstrom.1993. Development of an in vitro screening test to evaluate the in vivo bioaccessibility ofingested mine-waste lead. Environ. Sci. Technol. 27(13): 2870-2877.

Ruby, M.W., A. Davis, R. Schoof, S. Eberle, and C.M. Sellstone. 1996. Estimation of lead andarsenic bioavailability using a physiologically based extraction test. Environ. Sci. Technol.30(2): 422-430.

Ruby MV, Schoof R, Brattin W, Goldade M, Post G, Harnois M, Mosby DE, Casteel SW,Berti W, Carpenter M, Edwards D, Cragin D, Chappell W. 1999. Advances in evaluating theoral bioavailability of inorganics in soil for use in human health risk assessment. Environ. Sci.Technol. 33:3697–3705.

United States Environmental Protection Agency (US EPA). 1994. Guidance Manual for theIntegrated Exposure Uptake Biokinetic Model for Lead in Children. United StatesEnvironmental Protection Agency, Office of Emergency and Remedial Response. PublicationNumber 92857.7-15-1. EPA/540/R-93/081.

US EPA. 2006. Estimation of Relative Bioavailability of Lead in Soil and Soil-Like MaterialsUsing In Vivo and In Vitro Methods. U.S. Environmental Protection Agency: Washington,DC. Available online athttp://www.epa.gov/superfund/health/contaminants/bioavailability/lead tsdmain.pdf.

US EPA. 2007a. User’s guide for the integrated exposure uptake biokinetic model for lead inchildren (IEUBK). OSWER Directive 9285.7-42. EPA 540-K-01-005. U.S. EnvironmentalProtection Agency, Office of Emergency and Remedial Response, Washington, DC. May.

US EPA. 2007b. Guidance for evaluating the oral bioavailability of metals in soils for use inhuman health risk assessment. OSWER Directive 9285.7-80. U.S. Environmental ProtectionAgency, Office of Solid Waste and Emergency Response, Washington, DC. May.

US EPA. 2007c. Estimation of relative bioavailability of lead in soil and soil-like materialsusing in vivo and in vitro methods. U.S. Environmental Protection Agency, Office of SolidWaste and Emergency Response, Washington, DC. May.

US EPA. 2010. Relative Bioavailability Of Arsenic In Soils At 11 Hazardous Waste SitesUsing An In Vivo Juvenile Swine Method. OSWER 9200.0-76. U.S. EnvironmentalProtection Agency, Office of Solid Waste and Emergency Response, Washington, DC. June.

US EPA. 2012a. Recommendations for Default Value for Relative Bioavailability of Arsenicin Soil. OSWER 9200.1-113. U.S. Environmental Protection Agency, Office of Solid Wasteand Emergency Response, Washington, DC. December

US EPA. 2012b. Standard Operating Procedure for an In Vitro Bioaccessibility Assay forLead in Soil. EPA 9200.2-86, U.S. Environmental Protection Agency, Washington, DC April.

http://www.epa.gov/superfund/health/contaminants/bioavailability/lead tsdmain.pdf



US EPA. 2012c. Standard Operating Procedure In Vitro Bioaccessibility (IVBA) Procedurefor Arsenic. September. U.S. Environmental Protection Agency: Washington, DC. Availableonline at https://www.epa.gov/sites/production/files/2014-

05/documents/arsenicivba_sop25sep2012.pdf

https://www.epa.gov/sites/production/files/2014-05/documents/arsenicivba_sop25sep2012.pdf

https://www.epa.gov/sites/production/files/2014-05/documents/arsenicivba_sop25sep2012.pdf



TABLES

Bioavailability Technical Memorandum, Colorado Smelter OU1

Revision Date: 6/01/2017 Page 13 of 27

TABLE 1a . Summary of In Vitro Bioassay Results - Lead

Sample ID

Depthinchbgs

Soil LeadConcentration

µg/Kg(<250 µmfraction)

SoilMass

(g)

LeadConcentration

in Extract(µg/L)

ExtractSolutionVolume

(L)

Lead In VitroBioaccessibility1

(%)

RelativeBioavailability2

(%)S0000-WP3-0002-01-SPC 0-2 4582960.2 0.999 35679.6 0.1 78 66S0000-WP5-0002-01 0-2 1915028.2 1.001 9405.0 0.1 49 40S0000-WP6-0002-01-SPC 0-2 1522955.5 1.009 10880.1 0.1 71 59S0037-SYN-0001-01 0-1 480331.3 1.010 4008.1 0.1 83 70S0164-SYW-0001-01 0-1 122713.4 1.003 867.6 0.1 71 59S0181-GA-0002-01 0-2 494361.0 1.001 3885.8 0.1 78 66S0181-SY-0612-01 6-12 928639.7 1.016 7935.2 0.1 84 71S0183-DZ-0001-01 0-1 799971.0 1.005 6284.5 0.1 78 66S0183-SYW-0612-01 6-12 763356.2 0.999 6631.9 0.1 87 74S0249-APN-0612-01 6-12 14656.3 1.002 47.7 0.1 32 26S0249-SYS-0001-01 0-1 362496.4 1.008 2772.9 0.1 76 64S0252-SYN-0001-01 0-1 367773.0 1.002 2968.8 0.1 81 68S0294-BY-0106-01 1-6 341309.1 1.001 2599.9 0.1 76 64S0318-FY-0106-01 1-6 300247.1 1.003 2317.8 0.1 77 65S0325-BYS-0106-01 1-6 384493.2 1.004 2951.1 0.1 76 64S0356-BYW-0001-01 0-1 518328.2 1.007 3693.2 0.1 71 59S0360-BY-1218-01 12-18 226187.0 1.001 1741.9 0.1 77 65S0362-GA-0612-01 6-12 530881.1 1.006 4308.8 0.1 81 68S0375-BY-0001-01 0-1 811652.4 1.005 6853.1 0.1 84 71S0375-SYW-0001-01 0-1 528897.5 1.013 4481.4 0.1 84 71S0376-FY-0001-03 0-1 474224.0 1.012 3836.3 0.1 80 67S0376-FY-0106-01 1-6 246843.5 1.001 1880.7 0.1 76 64S0389-FY-0001-01 0-1 375179.7 1.015 3276.9 0.1 86 73S0423-SYE-0001-02 0-1 127875.8 0.999 983.6 0.1 77 65S0423-SYE-0001-31 0-1 76504.8 1.002 500.3 0.1 65 54S0423-SYE-0106-33 1-6 42767.5 1.011 273.1 0.1 63 53S0453-BY-0001-01 0-1 320091.5 1.004 2595.3 0.1 81 68S0453-BY-0106-01 1-6 400691.8 1.002 3040.7 0.1 76 64S0748-AP-0106-01 1-6 96180.2 1.004 720.1 0.1 75 63S0750-AP-0001-01 0-1 152713.4 0.998 1141.6 0.1 75 63S1013-FY-0001-01 0-1 215192.3 1.001 1608.2 0.1 75 63

Sample ID Depth Soil Lead Soil Lead Extract Lead In Vitro Relative

inchbgs

Concentrationµg/Kg

(<250 µmfraction)

Mass(g)

Concentrationin Extract

(µg/L)

SolutionVolume

(L)

Bioaccessibility1

(%)Bioavailability2

(%)

S1061-SY-0106-01 1-6 67940.8 0.998 472.4 0.1 70 58S1115-FYN-0106-01 1-6 321973.4 0.997 2901.3 0.1 90 77S1122-GA-1218-01 12-18 42645.4 1.001 293.4 0.1 69 58S1307-GA-1218-01 12-18 2520432.9 1.003 18916.2 0.1 75 63S1495-ED-0612-01 6-12 312397.6 1.002 2397.3 0.1 77 64S1581-FY-0106-01 1-6 759607.1 1.006 5768.5 0.1 75 63S1581-FY-0001-01 0-1 595631.3 1.001 4824.2 0.1 81 68S1592-PA-0106-01 1-6 645796.7 1.011 5436.3 0.1 83 70S1615-BY-0002-32 0-2 446235.5 1.004 3534.8 0.1 79 66S1648-BY-0001-01 0-1 411243.3 0.999 3073.6 0.1 75 63S1649-BY-0106-01 1-6 255589.9 1.002 2001.7 0.1 78 66S1651-FY-0106-01 1-6 182764.2 1.006 1347.4 0.1 73 62S1653-BY-0106-01 1-6 2430050.8 1.001 18975.3 0.1 78 66S1653-ED-0106-01 1-6 3919233.4 0.996 30447.0 0.1 78 66S1654-FY-0002-01 0-2 782207.2 1.006 6648.7 0.1 84 71S1655-BY-0106-01 1-6 1536298.3 1.005 13225.7 0.1 86 72S1807-BY-0001-01 0-1 275767.8 1.013 2220.3 0.1 79 67S1823-FY-0612-01 6-12 95990.8 1.007 715.7 0.1 74 62S1831-AP-0106-01 1-6 355429.7 1.005 2361.7 0.1 66 55S1831-BY-0106-01 1-6 300544.7 1.003 2319.3 0.1 77 65S1831-FY-0001-01 0-1 614724.4 1.003 4365.5 0.1 71 59

S1910-BYN-0001-01 0-1 267140.3 1.009 1560.9 0.1 58 48

Notes: AP = Apron

bgs = below ground surface BY = Back Yard

Kg = Kiliogram ED = Earthen Drive

µg = microgram FY = Front Yard

L = Liter PA = Play Area

µm = micrometer GA = Garden Area

(1) Calculated according to: In Vitro Bioaccessibility (%) = 100 x (Lead Concentration in Extract x Extract Solution Volume) / (Soil Lead Concentration x Soil Mass)

(2) Predicted based on Drexler and Brattin, 2007: Relative Bioavailability = 0.878 x In Vitro Bioaccessibility - 0.028 I

TABLE 1b . Summary of In Vitro Bioassay Results - Arsenic

Sample IDDepth

inch bgs

Soil ArsenicConcentration

µg/Kg(<250 µm fraction)

SoilMass

(g)

ArsenicConcentration

in Extract(µg/L)


(L)

Arsenic In VitroBioaccessibility1

(%)


(%)S000-WP3-0002-01-SPC 0-2 386636.3 0.999 2365.4 0.1 61 58S000-WP5-0002-01 0-2 85155.3 1.001 348.4 0.1 41 45S000-WP6-0002-01-SPC 0-2 74133.6 1.009 284.3 0.1 38 43S0037-SYN-0001-01 0-1 26194.8 1.010 136.8 0.1 52 52S0164-SYW-0001-01 0-1 8548.1 1.003 14.4 0.1 17 30S0181-GA-0002-01 0-2 17470.4 1.001 64.0 0.1 37 42S0181-SY-0612-01 6-12 45838.1 1.016 277.7 0.1 60 57S0183-DZ-0001-01 0-1 241917.0 1.005 1661.2 0.1 68 62S0183-SYW-0612-01 6-12 136578.2 0.999 913.9 0.1 67 61S0249-APN-0612-01 6-12 9273.6 1.002 33.9 0.1 36 42S0249-SYS-0001-01 0-1 17754.3 1.008 59.3 0.1 33 40S0252-SYN-0001-01 0-1 16337.1 1.002 45.3 0.1 28 37S0294-BY-0106-01 1-6 54694.7 1.001 296.6 0.1 54 53S0318-FY-0106-01 1-6 73434.0 1.003 441.6 0.1 60 57S0325-BYS-0106-01 1-6 14948.0 1.004 37.0 0.1 25 35S0356-BYW-0001-01 0-1 88110.7 1.007 469.2 0.1 53 52S0360-BY-1218-01 12-18 20965.4 1.001 67.7 0.1 32 40S0362-GA-0612-01 6-12 23692.8 1.006 95.7 0.1 40 45S0375-BY-0001-01 0-1 392360.6 1.005 2345.7 0.1 60 57S0375-SYW-0001-01 0-1 268172.6 1.013 1583.8 0.1 58 56S0376-FY-0001-03 0-1 379361.2 1.012 2092.1 0.1 55 53S0376-FY-106-01 1-6 186410.1 1.001 1176.3 0.1 63 59S0389-FY-0001-01 0-1 43748.3 1.015 259.6 0.1 58 56S0423-SYE-0001-02 0-1 10311.2 0.999 35.4 0.1 34 41S0423-SYE-0001-31 0-1 7311.1 1.002 9.4 0.1 13 28S0423-SYE-0106-33 1-6 7861.0 1.011 23.5 0.1 30 38S0453-BY-0001-01 0-1 6665.8 1.004 DL 0.1S0453-BY-0106-01 1-6 8369.9 1.002 DL 0.1S0748-AP-0106-01 1-6 82374.4 1.004 535.8 0.1 65 60S0750-AP-0001-01 0-1 12011.4 0.998 40.2 0.1 34 41S1013-FY-0001-01 0-1 7983.9 1.001 DL 0.1

Sample IDDepth

inch bgs

Soil ArsenicConcentration

µg/Kg

SoilMass

(g)

ArsenicConcentration

in Extract


Arsenic In VitroBioaccessibility1

(%)


(%)

(<250 µm fraction) (µg/L) (L)S1061-SY-0106-01 1-6 11220.3 0.998 DL 0.1S1115-FYN-0106-01 1-6 94207.7 0.997 723.5 0.1 77 67S1122-GA-1218-01 12-18 5271.7 1.001 DL 0.1S1307-GA-1218-01 12-18 16407.8 1.003 72.3 0.1 44 47S1495-ED-0612-01 6-12 29221.7 1.002 101.9 0.1 35 41S1581-FY-0106-01 1-6 28061.9 1.006 97.5 0.1 35 41S1581-FY-0001-01 0-1 18677.9 1.001 61.2 0.1 33 40S1592-PA-0106-01 1-6 321943.0 1.011 2086.5 0.1 64 59S1615-BY-0002-32 0-2 29127.7 1.004 155.6 0.1 53 53S1648-BY-0001-01 0-1 16043.9 0.999 32.9 0.1 21 32S1649-BY-0106-01 1-6 34327.5 1.002 165.6 0.1 48 50S1651-FY-0106-01 1-6 14375.3 1.006 39.4 0.1 27 37S1653-BY-0106-01 1-6 146101.5 1.001 922.6 0.1 63 59S1653-ED-0106-01 1-6 235928.2 0.996 1680.1 0.1 72 64S1654-FY-0002-01 0-2 134497.8 1.006 761.1 0.1 56 55S1655-BY-0106-01 1-6 295806.9 1.005 2053.7 0.1 69 63S1807-BY-0001-01 0-1 13071.5 1.013 27.6 0.1 21 33S1823-FY-0612-01 6-12 10084.8 1.007 15.1 0.1 15 29S1831-AP-0106-01 1-6 366007.4 1.005 2039.9 0.1 55 54S1831-BY-0106-01 1-6 20065.0 1.003 70.8 0.1 35 42S1831-FY-0001-01 0-1 292965.9 1.003 1247.9 0.1 42 46S1910-BYN-0001-01 0-1 18346.1 1.009 56.5 0.1 31 39Notes: AP = Apron

bgs = below ground surface BY = Back Yard

Kg = Kiilogram ED = Earthen Driveµg = microgramDL = Below Detection Limit FY = Front Yard

L = Liter PA = Play Area

µm = micrometer GA = Garden Area(1) Calculated according to: In Vitro Bioaccessibility (%) = 100 x (Arsenic Concentration in Extract x Extract Solution Volume) / (Soil Arsenic Concentration x Soil Mass)

(2) Predicted based on Brattin et al., 2013: Relative Bioavailability (%)= 0.62 x In Vitro Bioaccessibility + 19.7 I

Bioavailability Technical Memorandum, Colorado Smelter OU1 Page 17 of 27Revision Date: 6/01/2017

Table 2a. Summary Statistics of Lead Relative Bioavailability

All Samples

N 53

Mean Relative Bioavailability (%) 63

Standard Deviation (%) 8.2

95% Confidence Interval (%) 61 -66

Residential Soil Samples

N 50




Samples with Soil Lead Concentrations < 400 mg/kg

N 28




Samples with Soil Lead Concentrations > 400 mg/kg

N 22


Standard Deviation (%) 4


Samples with Depths at 0-6 inches bgs

N 41




Samples with Depths 6-18 inches bgs

N 9




Waste Pile Samples

N 3




Notes:

N = sample size

bgs = below ground surface

kg = kilogram

mg = milligram

Table 2b. Summary Statistics of Arsenic Relative Bioavailability

All Samples

N 48




Residential Soil Samples

N 45




Samples with Soil Arsenic Concentrations < 100 mg/kg

N 32




Samples with Soil Arsenic Concentrations > 100 mg/kg

N 13




Samples with Depths at 0-6 inches bgs

N 37




Samples with Depths 6-18 inches bgs

N 8




Waste Pile Samples

N 3




Notes:

N = sample size

bgs = below ground surface

kg = kilogram

mg = milligram


FIGURES

Bioavailability Technical Memorandum, Colorado Smelter OU1 Page 20 of 27

Revision Date: 6/01/2017

Figure 1 Colorado Smelter Bioavailability Sample Locations

_ .. ---

t

Pafl K\GlS Ubra,y\Prqeas\Colorado Smellef\Map-s\810avatlab!Wty_Sampte_Locallons_20l60808_ 11x17 m;,cd

Colorado Smelter Bioavailability Sample

Locations

Legend

~ : :, Preliminary Study Area

c:J Smelter Site Boundary

5CJO 1.000 Feet

NAO 1983 Sta1ePlaoe Cda'adoSOJlh FIPS0503 Foot magery Google E•ll dated AujJJSI 2013

~ @:_a_· ----..---~- ·~



0

10

20

30

40

50

60

70

80

90

0.0 500000.0 1000000.0 1500000.0 2000000.0 2500000.0 3000000.0 3500000.0 4000000.0 4500000.0

Re

lati

veB

ioav

aila

bili

ty(%

)

Soil Lead Concentration (µg/Kg)

Figure 2a. Lead Concentration in Residential Soil versus Relative Bioavailability(Depth at 0-6 inches bgs)

1-6"

0-1"

0-2"

• A ""' -. • ),/ti -i : • • • • A - • • •

•



0

10

20

30

40

50

60

70

80

0.0 500000.0 1000000.0 1500000.0 2000000.0 2500000.0 3000000.0

Re

lati

veB

ioav

aila

bili

ty(%

)

Soil Lead Concentration (µg/Kg)

Figure 2b. Lead Concentration in Residential Soil versus Relative Bioavailability(Depth at 6-18 inches bgs)

6-12"

12-18"

.. . • ..

11

• • • ..

• A

0

10

20

30

40

50

60

70

80

90

0 500000 1000000 1500000 2000000 2500000 3000000 3500000 4000000 4500000 5000000

<250 Micron Lead (µg/Kg)

ResidentialSoil Samples

Waste PileSamples

Figure 3 Lead BioavailabilityLe

adR

elat

ive

Bio

avai

lab

ility

(%)

USEPA Default IEUBK Value

•

•

• • • • •

• •



0

10

20

30

40

50

60

70

80

0.0 50000.0 100000.0 150000.0 200000.0 250000.0 300000.0 350000.0 400000.0 450000.0

Re

lati

veB

ioav

aila

bili

ty(%

)

Soil Arsenic Concentration (µg/Kg)

Figure 4a. Arsenic Concentration in Residential Soil versus Relative Bioavailability (Depthat 0-6 inches bgs)

0-1"

0-2"

1-6"

• --• •

·- • • -r-r • ---•

•• • • • -A •

• • • •

-

-

-

-

• A

•



0

10

20

30

40

50

60

70

0.0 20000.0 40000.0 60000.0 80000.0 100000.0 120000.0 140000.0 160000.0

Re

lati

veB

ioav

aila

bili

ty(%

)

Soil Arsenic Concentration (µg/Kg)

Figure 4b. Arsenic Concentration in Residential Soil versus Relative Bioavailability(Depth at 6-18 inches bgs)

6-12

12-18

7

• • -•

T

• •

• •

-

-

• •

0

10

20

30

40

50

60

70

80

0 50000 100000 150000 200000 250000 300000 350000 400000 450000

<250 Micron Arsenic (µg/Kg)

ResidentialSoil Samples

Waste PileSamples

Figure 5 Arsenic BioavailabilityA

rsen

icR

elat

ive

Bio

avai

lab

ility

(%)

USEPA 95thPercentile Range

RBA Values

• ~ ....

# • ..... .. .... ... • "· •• •( ~· #

.

• ..... • • •

~ \

• .. •

•

.. . ....

• •


ATTACHMENT A

COMBINED REPORT:

LEAD and ARSENIC SPECIATION in DUST and SOILS along with IN VITRO

BIOASSAY

For

Pacific Western technologies

3000 Youngfield Street

Wheat Ridge, CO. 80215

By

Dr. John W. Drexler

Laboratory for Environmental and Geological Studies

University of Colorado

Boulder, CO. 80309

(303) 492-5251

April 20, 2017

EXECUTIVE SUMMARY

Fifteen dust and 35 soil samples (Table 1) were sent to the laboratory (LEGS) for lead and

arsenic speciation. An additional 41 sieved, soil samples of limited volume, (Tables 2 thru 5)

were sent for in vitro bioassay by Pacific Western Technologies. Lead bioaccessablity averages

63% +/- 8% (RBA) arsenic has predicted RBA values averaging 48 % +/- 11%. Each set of

samples studied over the past two years show small differences in both arsenic and lead

speciation they are all dominated by pyrometallurgical and mining/milling related metal species.

Metal forms that are common to these processes include: Slag, PbAsO, CaAsO, PbMO, Galena,

Arsenopyrite, AsMO, SnMO, CuMO, SnMO, As2O3, and ZnMO. Although cerussite and

anglesite commonly found in these samples can also be related to lead-bearing paint many of the

particles are either too large to be paint pigments or are directly associated with other phases

(slag, galena, pyrite, ect.) that have no relation to lead paint. Soils apparently contain a

significant smaller relative mass presence of leaded paint than dust samples. Since such a large

proportion of the lead and arsenic are found in pyrometallugical and mining/milling related

phases it is most likely that lead and arsenic found in FeOOH and Phosphates is also related to

these activities.

Results are provided in accompanying EXCEL files, with all counted particles, particle lengths,

associations, and relative mass calculation results. Representative photomicrographs and EDS

spectra are also included on CD.

Table 1. Samples provide for speciation analyses.

DUST SAMPLE ID ARSENIC mg/kg LEAD mg/kg

D-0201-A 10 6

D-0260-D 18 702

D-0360-L 11 260

D-0391-B2 4 191

D-0703-E1 47 294

D-0760-L 11 331

D-0875-B 10 362

D-1078-E 14 302

D-01124-D-DUP 6 176

D-1292-L 6 150

D-1337-B1 4 111

D-1443-L 7 663

D-1556-E 8 173

D-1581-B2 9 250

D-1630-K 13 159

SOIL SAMPLE ID

SO164-SYW-0001-01 10 129

S0294-BY-0106-01 55 380

S0325-BYS-0106-01 21 399

S0360-BY-1218-01 21 243

S0362-GA-0612-01 30 554

S0375-BY-0001-01 323 893

S0037-SYW-0001-01 28 533

S0453-BY-0001-01 10 322

S0453-BY-0106-01 13 367

S0748-AP-0106-01 64 111

SO1013-FY-0001-01 13 240

SO1061-SY-0106-01 10 81

S1115-FYN-0106-01 90 392

S1122-GA-1218-01 7 53

S1307-GA-1218-01 61 2430

S1495-ED-0612-01 25 299

S1581-FY-0106-01 30 674

S1581-FY-0001-01 41 795

S1653-ED-0106-01 259 3910

S1823-FY-0612-01 9 110

S1831-AP-0106-01 309 381

S1831-FY-0001-01 216 653

S1910-BYN-0001-01 18 238

S1654-FY-0002001 134 782

S1592-PA-0106 321 645

S0423-SYE-0106-33 8 43

S000WP6-0002-01-SPC 74 1522

S1615-BY-0002-32 29 446

S0389-FY-0001-01 44 375

S000WP5-0002-01 85 1915

S0181-SY-0612-01 46 928

S0181-GA-0002-01 17 494

S0423-SYE-0001-31 7 77

S000WP3-0002-01-SPC 386 4582

S0423-SYE-0001-02 10 128

METHODS

Metal speciation was conducted on a JOEL 8230 electron microprobe (EMPA) at the Laboratory

for Geological Studies at the University of Colorado following the laboratories SOP.

Representative backscatter photomicrographs (BSPM) illustrating sample characteristics and

x-ray spectra were acquired.

Data from EMPA will be summarized using three methods. The methods will be defined based

on arsenic, but are similarly calculated for lead. The first method is the determination of

FREQUENCY OF OCCURRENCE. This is calculated by summing the longest dimension of all

the arsenic-bearing phases observed and then dividing each phase by the total. All calculations

are conducted in the same manner for speciation.

Equation 1.0 will serve as an example to the calculation for an arsenic-bearing compound.

FAs - Frequency of occurrence of arsenic

in a single phase.

PLD - An individual particles longest

dimension

∑ (PLD) phase-1

FAs in phase-1 = ______________________________

∑ (PLD)phase-1 + ∑ (PLD)phase-2 + ∑ (PLD)phase-n

%FAs in phase-1 = FAs in phase-1 * 100

This data thus illustrates which arsenic-bearing phase is the most commonly observed in the

sample or relative volume percent.

The second calculation used in this report is the determination of RELATIVE MASS of a metal-

bearing phase. These data are calculated by substituting the PLD term in the equation above with

the value of MAs. This term is calculated as defined below. Parameters for relative mass

calculations for this project are provided in Tables 1A and 2A in the appendix. Phase

concentration data for non-stoichiometric phases are calculated from site-specific analyses.

MAs - Mass of arsenic in a phase

SG - Specific Gravity of a phase

ppm As - Concentration in ppm of arsenic

in phase

Equation 2. MAs = FAs * SG * ppm As

The advantage in reviewing the RELATIVE Arsenic MASS determinations is that they provide

information as to which metal-bearing phase(s) in a sample are likely to control the total bulk

concentration for arsenic. As an example, PHASE-1 may by relative volume comprise 98% of

the sample; however, it has a low specific gravity and contains only 1,000 ppm arsenic, while

PHASE-2 comprises 2% of the sample, has a high specific gravity and contains 850,000 ppm of

arsenic. In this example it is PHASE-2 that is the dominant source of arsenic to the sample.

A final calculation, bioaccessable arsenic mass, is made by removing any particle that is

considered non-bioaccessable from the relative arsenic mass calculation. The criteria used to

eliminate a particle are:

1) Size: particles greater than 250 microns are removed.

2) Association: particles which are enclosed or included are removed.

These values provide information on the present bioaccessability of the material. However, if the

material is crushed or further weathered these values could change significantly. These values

are only reported in the EXCEL files and not shown on the constructed figures.

Sample Preparation

1) Logging the samples of which polished mounts will be prepared.

2) Inspection of all plastic cups, making sure each is clean and dry.

3) Labeling each "mold" with its corresponding sample number.

4) All samples will be split to produce a homogeneous 1-4 gram sample.

5) Mixing epoxy resin and hardener according to manufacturer's directions.

6) Pour 1 gram of sample into mold. Double checking to make sure sample numbers on mold

and sample match. Pouring epoxy into mold to just cover sample grains.

7) Using a new wood stirring stick with each sample, carefully blend epoxy and grains so as to

coat all grains with epoxy.

8) Setting molds to cure at ROOM TEMPERATURE in a clean, restricted area. Adding labels

with sample numbers and covering with more epoxy resin. Leaving to cure completely at room

temperature.

9) One at a time, removing each sample from its mold and grinding flat the back side of the

mount.

10) Using 600 grit wet abrasive paper stretched across a grinding wheel for removing the bottom

layer and exposing as many mineral grains as possible. Follow with 1000 grit paper.

11) Start polishing with 15 oil based diamond paste on a polishing paper fixed to a lap. Using

paper instead of cloth minimizes relief.

12) Next use 6 diamond polish on a similar lap.

13) Finally polish the sample with 1 oil based diamond past on polishing paper. Followed by

.05 alumina in water suspension. The quality should be checked after each step. Typical

polishing times are 30 minutes for 15, 20 minutes for 6, 15 minutes for 1 and 10 minutes for

.05.

NOTE: use low speed on the polishing laps to avoid "plucking" of sample grains.

14) Samples should be completely cleaned in an ultrasonic cleaner with isopropyl alcohol or

similar solvent to remove oil and finger prints.

15) To insure that no particles are being cross contaminated with sample preparation procedures,

a blank (epoxy only) mold will be made every 50th sample following all of the above

procedures. This mold will then be speciated along with the other samples.

16) Each sample will be carbon coated. Once coated the samples should be stored in a clean, dry

environment with the carbon surface protected from scratches or handling.

POINT COUNTING

Counts are made by traversing each sample from left-to-right and top-to-bottom. The amount of

vertical movement for each traverse would depend on magnification and CRT (cathode-ray tube)

size. This movement should be minimized so that NO portion of the sample is missed when the

end of a traverse is reached. Two magnification settings should be used. The first magnification

ranges from 40-100X and a second from 300-600X. The last setting will allow one to find the

smallest identifiable (1-2 micron) phases.

The portion of the sample examined in the second pass, under the higher magnification, will

depend on the time available, the number of lead or arsenic-bearing particles, and the complexity

of metal mineralogy. A maximum of 8 hours will be spent per sample.

PRECISION and ACCURACY

The precision of the EMPA speciation will be determined based on sample duplicates, generally

run every 30 samples. The accuracy of the analysis will be estimated from a statistical evaluation

of point counting data based on the method of Mosimann (1965).

Quantitative elemental analyses, primarily performed on slag or other phases that have variable

metal contents, will have precision and accuracy evaluated on counting statistics and standard

reproducibility.

SPECIATION FINDINGS

DUST

Lead: Dust samples studied have lead masses dominated (84% of the relative lead mass) by the

following lead-bearing phases: Cerussite, FeOOH, Paint, and Phosphate Figure 1, Photo 1-3.

The mean particle-size of lead phases is small, although a large standard deviation is found for

some phases. The samples are dominated (69% relative Pb mass) by Cerussite (PbCO3)

(averaging 3 microns in size. The second most abundant lead phase is FeOOH (6% relative Pb

mass). These particles average 11 microns in size. Leaded Paint is also common (5% relative Pb

mass), averaging 34 microns in size Most common lead pigment found in these paint particles is

cerussite or anglesite. Finally, a lead-bearing phosphate, (4% relative Pb mass), averaging about

12 microns in size.

Arsenic: Dust samples studied have arsenic masses dominated (90% of the relative arsenic

mass) by the following arsenic-bearing phases: FeOOH, PbAsO and As2O3, Figure 1, Photo 4-5.

The samples are dominated (62% relative As mass) by FeOOH (averaging 11 microns) and

containing 5600 mg/kg arsenic. The second most abundant arsenic phase is PbAsO (15% relative

As mass). These particles average 3 microns in size. Finally, As2O3 (13% relative arsenic mass)

is found as small, 3 micron particles.

Figure 1. Summary plot of arsenic and lead speciation for dust samples.

L

Zn Sili:ate FeS04

Slag Phosphate

Pbl.Q4

Lead Soi:ler PbSi04

PbO PbMS04

PbMO

PbCr04

PbAsO

Pb g lass Paint

MnOOH

Galena FalOH

CuMO Clay

Cerussite Brass

AsMO

I r;-

-i..-... ..... I

...

L.. ,..

As203 •, ---Ang le,ne ,-

0 10

Dust Summary

20 30 40 50 60

• Relative As Mass • Refative Pb Mass • Frequency of Occurrence

70 80

Photo 1. Backscatter photomicrographs of cerussite particles.

PHOTO 2. Backscatter photomicrographs of FeOOH particles.

PHOTO 3. Backscatter photomicrographs of lead-bearing paint particles.

PHOTO 4. Backscatter photomicrographs of PbAsO and As2O3 particles from sample

D0703-E1.

PHOTO 5. Backscatter photomicrographs of PbAsO particle from sample D0112H-Dup.

SOIL

Twelve soil samples were sent to the lab in 2015, herein referred to as “Initial Soils”, followed

by 23 soils in 2016, “Final Soils”.

INITIAL SOILS:

Lead: Soil samples ranged in bulk lead concentration from 76 to 4582 mg/kg (Table 1). The

dominant lead form in the soil samples is slag (58% Frequency of Occurrence), however, it only

contains ~3.7 wt.% lead. Therefore, samples studied have lead masses dominated (85% of the

relative lead mass) by the following lead-bearing phases: PbAsO, Cerussite, Galena, Phosphate

and FeOOH, Figure 1, Photos 1-4. The mean particle-size of lead phases is small, although a

large standard deviation is found for some phases. The samples are dominated (22% relative Pb

mass) by liberated, PbAsO (averaging 6.5 microns in size. The second most abundant lead phase

is Cerussite (PbCO3) (19% relative Pb mass). These particles average 15 microns in size and

have much higher concentrations of lead. Galena (PbS) is also common (16% relative Pb mass).

Galena particles are commonly found enclosed in pyrite and slag, averaging 1 microns in size.

Finally, two other lead-bearing phases common to these samples include; Phosphate and FeOOH

(14% and 13% relative Pb mass, respectively), averaging about 8 and 15 microns in size,

respectively.

PHOTO 1. Backscatter photomicrographs of Cerussite particle.

PHOTO 2. Backscatter photomicrographs of Galena particles.

PHOTO 3. Backscatter photomicrographs of Phosphate particles.

PHOTO 4. Backscatter photomicrographs of FeOOH particles.

Arsenic: Soil samples from the site were collected between 0-18 inches in depth and ranged in

bulk arsenic concentration from 1 to 386 mg/kg (Table 1). Although iron oxide is the most

commonly identified phase that contains arsenic (32% Frequency of Occurrence), it contains

only ~1100 ppm arsenic. Samples studied have arsenic masses dominated (90% of the relative

arsenic mass) by the following arsenic-bearing phases; PbAsO, CaAsO, and FeCaAsO Figure 1,

Photos 5-7. The mean particle-size of arsenic phases is moderate, although a large standard

deviation is found for some phases. The samples are dominated (56% relative As mass) by

PbAsO (averaging 6.5 microns) and containing ~24 wt% arsenic. The second most abundant

arsenic phase is CaAsO (19% relative As mass). These particles average 25 microns in size and

have slightly lower concentrations of arsenic, 19 wt%. Finally, FeCaAsO is also common (15%

relative As mass), averaging 34 microns in size and containing ~ 21 wt% arsenic.

Figure 1. Summary plot of arsenic and lead speciation for Colorado Smelter “Initial Soils”.

PHOTO 5. Backscatter photomicrographs of PbAsO particles.

Lead Sol:ler Pfumbobart e

AsCuN iS

SnSbO

AsMO I"'

PbO

Paint

PbT.02

CaAsO

Fe!nS04

PbSi04 • Phosphate

Clay ,

PbMO

PbAsO FE!:aA,O

Colorado Smelter Summary

CerUS9te ·· -------· PbMS04

Galena ·· ------Ang leste :_

F604 :

s~ --------------------FaJOH

MnOOH -0 10 20 30 40 50

• Frequency of Occurrence • R~ative As Mass • R~ative Lead Mass

60 70

PHOTO 6. Backscatter photomicrographs of CaAsO particles.

PHOTO 7. Backscatter photomicrographs of FeCaAsO particles.

FINAL SOILS:

Lead: Soil samples ranged in bulk lead concentration from 53 to 3910 mg/kg. Samples studied

have lead masses dominated (82% of the relative lead mass) by the following lead-bearing

phases: Cerussite, FeOOH, Phosphate, and PbAsO Figure 2, Photo 8-11. The mean particle-size

of lead phases is again small. The samples are dominated (31% relative Pb mass) by Cerussite

(PbCO3) (averaging 5 microns in size. The second most abundant lead phase is FeOOH (23%

relative Pb mass). These particles average 19 microns in size. Lead-bearing phosphate, (19%

relative Pb mass), averaging about 7 microns in size. Lead Arsenate is also common (9% relative

Pb mass), averaging 13 microns in size. Soils apparently contain a significant smaller relative

mass presence of leaded paint than dust samples. One potential cause of this observation is the

fact that soil samples were sieved to <250 microns, unlike the dust samples.

Arsenic: Soil samples ranged in bulk arsenic concentration from 7 to 323 mg/kg. Samples

studied have arsenic masses dominated (88% of the relative arsenic mass) by the following

arsenic-bearing phases: FeOOH, PbAsO and Phosphate, Figure 2, Photo 9-10. The samples are

dominated (59% relative As mass) by FeOOH (averaging 19 microns) and containing 9000

mg/kg arsenic. The second most abundant arsenic phase is PbAsO (17% relative As mass). These

particles average 13 microns in size. Finally, Phosphate (12% relative arsenic mass) is found as

small, 7 micron particles. Other forms of interest are illustrated in Photos 11-12.

Figure 2. Summary plot of arsenic and lead speciation for “Final Soil” samples.

ZnMO

PbT.OZ >

FE504 SnMO

Slag SbMO

Phosphate

Lead Soi:ler PbSi04 PbMO

PbCr04 PbAsO

... .. ...._

-... Paint 1,

Organic Organic L,

MnOOH .._

Galena Pbf eOOH ,

FeOOH

CuMO ·~ Clay Ir

Cerussite CaPbO3 I

PJumbobarte Arsenopyrite •

AsMO

AsfeOOH -As2O3

Angle,ne

0

Soil Summary

10 20 30 40 50 60 70 80

a J;elative As Mass • Refative Pb Mass • Frequency of Occurrence

PHOTO 8. Backscatter photomicrographs of Cerussite particles from soil samples.

PHOTO 9. Backscatter photomicrographs of FeOOH particles from soil samples.

PHOTO 10. Backscatter photomicrographs of Phosphate particles from soil samples.

PHOTO 11. Backscatter photomicrographs of Slag particles from soil samples.

PHOTO 12. Backscatter photomicrographs of elevated Arsenic particles from soil samples.

Bioavailability Studies

Methodology

Further background on the development and validation of in vitro test systems for estimating

lead and arsenic bioavailability can be found in; Ruby et al. (1993, 1996); Medlin (1972); Medlin

and Drexler, 1997; and Drexler, 1994. Background information for the USEPA swine studies

may be found in (Weis and LaVelle, 1991; Weis et al. 1994; and Casteel et al., 1997) and in the

USEPA Region VIII Center in Denver, Colorado. Calibration and validation of lead and arsenic

in vitro are provided in Drexler and Brattin, 2007, and Brattin et al., 2013.

Sample Preparation All media were prepared for the in vitro assay by first drying (<40˚C) all samples and then

sieving to <250 µm. The <250 micron size fraction was used because this particle size is

representative of that which adheres to children’s hands. Prior to obtaining a subsample for

testing in this procedure, each sample was homogenized in its sample container by end-over-end

mixing.

Apparatus and Materials The main piece of equipment required for this procedure is the extraction device. The device

holds ten; 125 ml, wide-mouth, high-density polyethylene (HDPE) bottles. These were rotated

within a Plexiglas tank by a TCLP extractor motor with a modified flywheel. The water bath

must be filled such that the extraction bottles remained immersed. Temperature in the water bath

was maintained at 37 +/- 2˚C using an immersion circulator heater (Fisher Scientific Model 730).

The 125-ml HDPE bottles had an airtight screw-cap seal (Fisher Scientific #02-893-5C), and

care was taken to ensure that the bottles did not leak during the extraction procedure.

Standards and Reagents The leaching procedure for this method used an aqueous extraction fluid at a pH value of 1.5.

The pH 1.5 fluid was prepared as follows:

Two liters of aqueous extraction fluid were prepared using ASTM Type II deionized (DI) water.

The buffer was made up in the following manner. To 1.9 L of DI water, 60.06 g glycine (free

base, reagent grade), were added bringing the solution volume to 2 L (0.4M glycine). The

mixture was placed in the water bath at 37˚C until the extraction fluid reached 37˚C. The pH

meter (using both a 2.0 and a 4.0 pH buffer for standardization) was standardized using

temperature compensation at 37˚C or buffers maintained at 37˚C in the water bath. Trace metal

grade, concentrated hydrochloric acid (12.1N) was added until the solution pH reached a value of

1.50 +/_ 0.05 (approximately 60 mL).

All reagents were free of lead and arsenic and the final fluid was tested to confirm that lead and

arsenic concentrations were less than one-fourth the project required detection limit (PRDL) of

100 (less than 25 μg/L lead ) in the final fluid.

Cleanliness of all materials used to prepare and/or store the extraction fluid and buffer is

essential. All glassware and equipment used to prepare standards and reagents were properly

cleaned, acid washed, and finally, triple-rinsed with deionized water prior to use. When possible,

disposable “poly” tubes were used.

Leaching Procedure 100 +/- 0.5 mL of the extraction fluid was measured, using a graduated cylinder, and transferred

to a 125 mL wide-mouth HPDE bottle. 1.00 +/- 0.5 g of test substrate (<250µ) was added to the

bottle, ensuring that static electricity did not cause soil particles to adhere to the lip or outside

threads of the bottle. If necessary, an antistatic brush was used to eliminate static electricity prior

to adding the media. The mass of substrate added to the bottle was recorded. Each bottle top was

hand tightened and shaken/inverted to ensure that no leakage occurred, and that no media was

caked on the bottom of the bottle.

The bottle was placed into the modified TCLP extractor, making sure each bottle was secure and

the lid(s) were tightly fastened. The extractor was filled with 125 mL bottles containing test

material or QA samples.

The temperature of the water bath was 37 +/- 2˚C.

The extractor was turned on and rotated end-over-end at 30 +/- 2 rpm for 1 hour. The start time

of rotation was recorded.

When extraction (rotation) was complete, the extractor rotation was immediately stopped and the

bottles were removed. They were then wiped dry and placed upright on the bench top.

Extract was removed directly from the reaction vessel into a disposable 20 cc syringe with a

Luer-Lok attachment. A 0.45 μ cellulose acetate disk filter (25 mm diameter) was attached to the

syringe, and the extract was filtered into a clean 15 mL polypropylene centrifuge tube (labeled

with sample ID) or other appropriate sample vial for analysis.

The time that the extract was filtered was recorded (i.e. extraction was stopped). If the total time

elapsed was greater than 1 hour 30 minutes, the test was repeated.

The pH of the remaining fluid was measured in the extraction bottle. If the fluid pH was not

within +/- 0.5 pH units of the starting pH, the test was discarded and the sample reanalyzed as

follows:

If the pH had changed more than 0.5 units, the test was re-run in an identical fashion. If the

second test also resulted in a decrease in pH of greater than 0.5 s.u. this was recorded, and the

extract filtered for analysis. If the pH had increased by 0.5 s.u. or more, the test was repeated,

but the extractor stopped at specific intervals and the pH manually adjusted down to pH of 1.5

with dropwise addition of HCl (adjustments at 5, 10, 15, and 30 minutes into the extraction, and

upon final removal from the water bath {60 min}). Samples with rising pH values might better

be run following the method of Medlin, 1997.

Filtered samples were stored in a refrigerator at 4˚C until analyzed. Analysis for arsenic

concentrations occurred within 1 week of extraction for each sample. In general, extracts were

analyzed for arsenic following EPA methods 6010B, 6020, or 7061A.

The relative bioavailability for samples was determined using the Relative Bioavailability

Leaching Procedure (RBALP) developed at the University of Colorado, Drexler and Brattin,

2007 and Brattin et al., 2013. The procedure predicts gastrointestinal adsorptive bioavailability

of lead and arsenic. It has been calibrated to the USEPA Region VIII swine model and has been

independently validated. Results of RBALP lead and arsenic in vitro test are provided in Tables

2 thru 5.

Lead and Arsenic Bioaccessability Studies

Results of the test are provided in Tables 2 thru 5 and graphically presented in Figure 3. Data are

generally consistent with the speciation results presented in this report. Lead bioaccessablity

averages 63% +/- 8% (RBA) arsenic has predicted RBA values averaging 48 % +/- 11%, The

lead RBA’s are consistent with the presence of highly soluble lead form, cerussite and lead paint,

while somewhat reduced do to the occurrences of FeOOH and Phosphate, thus many (81%) of

the soils lie above the default value of 60% (USEPA, 1994) for the Integrated Exposure Uptake

Biokinetic Model (IEUBK). Arsenic RBA values at 48% are consistent with the presence of

PbAsO and As2O3, again reduced by FeOOH and Phosphate presence.

TABLE 2 . Preliminary Summary Of In Vitro Bioassay Results

,.._ 0 0 N c:"

~ en i:, C: ., (i; x 

0 Cl C: :!!: 0 Cl i:, ::, 

·o "' ., "' J:) ... i:,

3 - ., J:) - <.>

§ - ., "o ::, a E <I: 0 .... ., 

I() ·o "" .2. Ill a: N "' J:) C:

~ V J:) 0 <I: .!: "' a. a. .:i J:) Ill "' <.> ::, a. J:)

., -.; a. 0 ~ Sample g E 2 ~ a. <.> "' 0 0

S1655-BY 1536298 1.0045 1543.21 13226 0.1 86 72 S1831-AP 355430 1.00483 357.15 2362 0.1 66 55 S1910-BYN 267140 1.00926 269.61 1561 0.1 58 48 S1495-ED 312398 1.00207 313.04 2397 0.1 77 64 S1648-BY 411243 0.99862 410.68 3074 0.1 75 63 S1581-FY 759607 1.00595 764.13 5768 0.1 75 63 S1651-FY 182764 1.00573 183.81 1347 0.1 73 62 S1831-FY 614724 1.00285 616.48 4365 0.1 71 59 S0356-BYW 518328 1.00746 522.19 3693 0.1 71 59 S1307-GA 2520433 1.00347 2529.18 18916 0.1 75 63 S0325-BYS 384493 1.00415 386.09 2951 0.1 76 64 S0318-FY 300247 1.00265 301.04 2318 0.1 77 65 S0252-SYN 367773 1.00156 368.35 2969 0.1 81 68 S0249-SYS 362496 1.00788 365.35 2773 0.1 76 64 S0183-DZ 799971 1.00473 803.75 6285 0.1 78 66 S0249-APN 14656 1.00219 14.69 48 0.1 32 26 S0748-AP 96180 1.00375 96.54 720 0.1 75 63 S0164-SYW 122713 1.00286 123.06 868 0.1 71 59 S0294-BY 341309 1.00147 341.81 2600 0.1 76 64 S0750-AP 152713 0.99784 152.38 1142 0.1 75 63 S0183-SYW 763356 0.99916 762.72 6632 0.1 87 74 S0037-SYN 480331 1.01006 485.16 4008 0.1 83 70 S0362-GA 530881 1.0057 533.91 4309 0.1 81 68 S0360-BY 226187 1.00083 226.37 1742 0.1 77 65 S0376-FY-000 1-03 474224 1.01172 479.78 3836 0.1 80 67 S0376-FY -106-01 246843 1.00051 246.97 1881 0.1 76 64 S0453-BY 320091 1.00354 321.22 2595 0.1 81 68 S0453-BY-106 400692 1.00191 401.46 3041 0.1 76 64 S1653-BY 2430051 1.00129 2433.19 18975 0.1 78 66 S1649-BY 255590 1.00178 256.04 2002 0.1 78 66 S1653-ED 3919233 0.99586 3903.01 30447 0.1 78 66 S1807-BY 275768 1.01307 279.37 2220 0.1 79 67 S1823-FY 95991 1.0068 96.64 716 0.1 74 62 S1831-BY 300545 1.00341 301.57 2319 0.1 77 65 S1013-FY 215192 1.00075 215.35 1608 0.1 75 63 S1115-FYN 321973 0.9968 320.94 2901 0.1 90 77 S1061-SY 67941 0.99841 67.83 472 0.1 70 58 S1581-FY 595631 1.0009 596.17 4824 0.1 81 68 S1122-GA 42645 1.00146 42.71 293 0.1 69 58 S0375-SYW 528898 1.01302 535.78 4481 0.1 84 71 S0375-BY 811652 1.00461 815.39 6853 0.1 84 71

(") .... 0 N

<ii ., C:

~ ai

OJ C: ~ 0 OJ " ::, 

·o "' <O

"' J:l ... " 3 - ., J:l - (.)

§ - ., "o ::, a E 0 .... <O <I: 

I() ·o "" a. al C: N "' "'

C: ;;:: V "' 0 <I: .5 "' <I: <I: .:i "' al "' (.) ::, <I: "' <O <ii a. 0 ~ Sample g E 2 ~ <I: (.) "' 0 0

S1655-BY 295807 1.0045 297.14 2054 0.1 69 63 S1831-AP 366007 1.00483 367.78 2040 0.1 55 54 S1910-BYN 18346 1.00926 18.52 57 0.1 31 39 S1495-ED 29222 1.00207 29.28 102 0.1 35 41 S1648-BY 16044 0.99862 16.02 33 0.1 21 32 S1581-FY 28062 1.00595 28.23 97 0.1 35 41 S1651-FY 14375 1.00573 14.46 39 0.1 27 37 S1831-FY 292966 1.00285 293.80 1248 0.1 42 46 S0356-BYW 88111 1.00746 88.77 469 0.1 53 52 S1307-GA 16408 1.00347 16.46 72 0.1 44 47 S0325-BYS 14948 1.00415 15.01 37 0.1 25 35 S0318-FY 73434 1.00265 73.63 442 0.1 60 57 S0252-SYN 16337 1.00156 16.36 45 0.1 28 37 S0249-SYS 17754 1.00788 17.89 59 0.1 33 40 S0183-DZ 241917 1.00473 243.06 1661 0.1 68 62 S0249-APN 9274 1.00219 9.29 34 0.1 36 42 S0748-AP 82374 1.00375 82.68 536 0.1 65 60 S0164-SYW 8548 1.00286 8.57 14 0.1 17 30 S0294-BY 54695 1.00147 54.78 297 0.1 54 53 S0750-AP 12011 0.99784 11.99 40 0.1 34 41 S0183-SYW 136578 0.99916 136.46 914 0.1 67 61 S0037-SYN 26195 1.01006 26.46 137 0.1 52 52 S0362-GA 23693 1.0057 23.83 96 0.1 40 45 S0360-BY 20965 1.00083 20.98 68 0.1 32 40 S0376-FY-000 1-03 379361 1.01172 383.81 2092 0.1 55 53 S0376-FY -106-01 186410 1.00051 186.51 1176 0.1 63 59 S0453-BY 6666 1.00354 6.69 DL 0.1 S0453-BY-106 8370 1.00191 8.39 DL 0.1 S1653-BY 146101 1.00129 146.29 923 0.1 63 59 S1649-BY 34327 1.00178 34.39 166 0.1 48 50 S1653-ED 235928 0.99586 234.95 1680 0.1 72 64 S1807-BY 13072 1.01307 13.24 28 0.1 21 33 S1823-FY 10085 1.0068 10.15 15 0.1 15 29 S1831-BY 20065 1.00341 20.13 71 0.1 35 42 S1013-FY 7984 1.00075 7.99 DL 0.1 S1115-FYN 94208 0.9968 93.91 723 0.1 77 67 S1061-SY 11220 0.99841 11.20 DL 0.1 S1581-FY 18678 1.0009 18.69 61 0.1 33 40 S1122-GA 5272 1.00146 5.28 DL 0.1 S0375-SYW 268173 1.01302 271.66 1584 0.1 58 56 S0375-BY 392361 1.00461 394.17 2346 0.1 60 57

Sample ID Pb

in

<2

50

u b

ulk

so

il u

g/k

g

ma

ss

so

il (

g)

ca

lc P

b #

1

ICP

Pb

(u

g/l)

so

luti

on

am

t (l

)

% P

b IV

BA

%R

BA

Pre

dic

ted

ba

se

d o

n D

rex

ler

an

d B

ratt

in, 2

00

7

S1654-FY-0002001 S1654 782207 1.0061 786.98 6649 0.1 84 71

S1592-PA-0106 S1592 645797 1.01118 653.02 5436 0.1 83 70

S0423-SYE-0106-33 S0423 42768 1.01085 43.23 273 0.1 63 53

S000WP6-0002-01-SPC S000 WP6 1522956 1.00927 1537.07 10880 0.1 71 59

S1615-BY-0002-32 S1615 446236 1.00371 447.89 3535 0.1 79 66

S0389-FY-0001-01 S0389 375180 1.01529 380.92 3277 0.1 86 73

S000-WP5-0002-01 S000WP5 1915028 1.00108 1917.10 9405 0.1 49 40

S0181-SY-0612-01 S0181 SY 928640 1.0163 943.78 7935 0.1 84 71

S0181-GA-0002-01 SO181 GA 494361 1.00149 495.10 3886 0.1 78 66

S0423-SYE-0001-31 SO423-SYE-31 76505 1.00233 76.68 500 0.1 65 54

S000 WP3-0002-01-SPC S00000 WP3 4582960 0.99891 4577.96 35680 0.1 78 66

S0423-SYE-0001-02 SO423 SYE 2 127876 0.99861 127.70 984 0.1 77 65

Sample ID As

in

<2

50

u b

ulk

so

il u

g/k

g

ma

ss

so

il (

g)

ca

lc A

s #

1

ICP

As

(u

g/l)

so

luti

on

am

t (l

)

% A

s IV

BA

%R

BA

Pre

dic

ted

ba

se

d o

n B

ratt

in e

t a

l, 2

01

3

S1654-FY-0002001 S1654 134498 1.0061 135.32 761 0.1 56 55

S1592-PA-0106 S1592 321943 1.01118 325.54 2087 0.1 64 59

S0423-SYE-0106-33 S0423 7861 1.01085 7.95 24 0.1 30 38

S000WP6-0002-01-SPC S000 WP6 74134 1.00927 74.82 284 0.1 38 43

S1615-BY-0002-32 S1615 29128 1.00371 29.24 156 0.1 53 53

S0389-FY-0001-01 S0389 43748 1.01529 44.42 260 0.1 58 56

S000-WP5-0002-01 S000WP5 85155 1.00108 85.25 348 0.1 41 45

S0181-SY-0612-01 S0181 SY 45838 1.0163 46.59 278 0.1 60 57

S0181-GA-0002-01 SO181 GA 17470 1.00149 17.50 64 0.1 37 42

S0423-SYE-0001-31 SO423-SYE-31 7311 1.00233 7.33 9 0.1 13 28

S000 WP3-0002-01-SPC S00000 WP3 386636 0.99891 386.21 2365 0.1 61 58

S0423-SYE-0001-02 SO423 SYE 2 10311 0.99861 10.30 35 0.1 34 41

0

10

20

30

40

50

60

70

80

90

0 1000000 2000000 3000000 4000000 5000000

Pb

Bio

acce

ssab

ility

<250 Micron Lead ug/kg

Lead Bioaccessability

USEPA Default Value

• •• • •

• \ •

CONCLUSIONS

Lead bioaccessablity averages 63% +/- 8% (RBA) arsenic has predicted RBA values averaging

48 % +/- 11%. Each set of samples studied over the past two years show small differences in

both arsenic and lead speciation they are all dominated by pyrometallurgical and mining/milling

related metal species. Metal forms that are common to these processes include: Slag, PbAsO,

CaAsO, PbMO, Galena, Arsenopyrite, AsMO, SnMO, CuMO, SnMO, As2O3, and ZnMO.

Although cerussite and anglesite commonly found in these samples can also be related to lead-

bearing paint many of the particles are either too large to be paint pigments or are directly

associated with other phases (slag, galena, pyrite, ect.) that have no relation to lead paint. Soils

apparently contain a significant smaller relative mass presence of leaded paint than dust samples.

One potential cause of this observation is the fact that soil samples were sieved to <250 microns,

unlike the dust samples. Since such a large proportion of the lead and arsenic are found in

pyrometallugical and mining/milling related phases it is most likely that lead and arsenic found

in FeOOH and Phosphates is also related to these activities.

REFERENCES

Brattin , W., Drexler, J., Lowneu, Y., Griffin, S.,Diamond, G., and Woodburry, L., 2013,An in

vitro method for estimation of arsenic relative bioavailability in soil. J. Toxicology and Envir.

Health, Part A. (In Press)

Drexler, J.W., 1998. An in vitro method that works! A simple, rapid and accurate method for

determination of bioavailability. EPA Workshop, Durham, NC.

Drexler, J.W., 1997, Validation of an In Vitro Method: A tandem Approach to Estimating the

Bioavailability of and to Humans, IBC Conference on Bioavailability, Scottsdale, Az.

Drexler, J.W., and Brattin, W., 2007, An In Vitro Procedure for Estimation of Relative

Bioavailability: With Validation. Envir. Health Perspective. April.

Furman, O., Strawn, D.G., Heinz, G.H., and Wuilliams, B., 2006, Risk.Assessment Test for Lead

Bioaccessability to Waterfowl in Mine-Impacted Soils. J. Envirn. Qual., V. 35, pp. 450-458.

Medlin, E., and Drexler, J.W., 1995. Development of an in vitro technique for the determination

of bioavalability from metal-bearing solids. International Conference on the Biogeochemistry of

Trace Elements, Paris, France.

Medlin, E.A., 1997, An In Vitro method for estimating the relative bioavailability of in humans.

Masters Thesis. Department of Geological Sciences, University of Colorado, Boulder.

Mosimann, J.E., 1965. Statistical Methods for the Pollen Analyst. In: B.Kummel and D. Raup

(EDS.). Handbook of Paleontological Techniques. Freeman and Co., San Francisco, pp. 636-673.

APPENDIX

Table 1A. Non-stoichiometric lead and arsenic Relative Mass parameters for soils.

Pb

As

Specific Gravity

Form

AsFe 0.00137

0.758304

6.5

AsMO 0

0.072666

6.5

Ca 0.11776

0

3.4

Clay 0.105025

0.006598

3.2

CuMO 0.02157

0.000018

6

FeOOH 0.024678

0.00908

5

FePbOOH 0.26504

0.003879

5

MnOOH 0.059528

0.007356

5

Organic 0.08382

0

1.3

PbMO 0.31277

0.008478

6.5

Solder 0.20377

0

8.9

Phosphate 0.256926

0.017611

5

SbMO 0.03289

0.004032

8.5

Slag 0.013542

0.001188

3.65

SnMO 0.032799

0.002012

8.5

Fe Sulfate 0.028767

0.002724

3.7

As2O3

0.769

3.74

Arsenopyrite

0.4601

6.19

PbCrO4 0.65

6.5

PbSiO2 0.5

8

ZnMO 0.027

6

PbTiO2 0.55

6.5

Table 2A. Non-stoichiometric lead and arsenic Relative Mass parameters for

dusts.

Pb

As

Specific Gravity

Form

AsFe

0.87034

6.5

AsMO 0

0.87034

6.5

Clay 0.23367

3.2

CuMO 0.02157

0.000018

6

FeOOH 0.0172

0.0056

5

MnOOH 0.01677

0.0001

5

Phosphate 0.2483

0.00043

5

Slag 0.007249

0.00047

3.65

Fe Sulfate 0.0628

0.02344

3.7

As2O3

0.769

3.74

Arsenopyrite

0.4601

6.19

PbSiO2 0.5

8

ZnMO 0.0078

6

of 1

USEPA

DateShipped: 7/14/2016

CarrierName: Fc.~~j( AirbiNNo: to("> ,»).. Sl$~

LablJ I SamptelJ LocaUon

D0201-A A-0201

/ D0260-0 D-0260

' v , DO~ L-0360 / D0391-62 B2-0391

L/ D0703-E1 E1-0703

; v D0760-L L-0760

/ D0875-6 B-0875

I j D1078-E E-1078

,I Df 124-D-DUP D-1124

- - ! Analyses

i ! GeoSpeciation

I GeoSpeciation 1 GeoSpeciation

GeoSpeciation

GeoSpeciation

GeoSpeciation

1 GeoSpeciation

I GeoSpeciation

I GeoSpeciation

CHAIN OF CUSTODY RECORD

Stte #: CON000802700

Contact Name: Steve Singer

Contact Phone: 303-274-5400 x53

lllalrlx

Dust(SoiQ

Dust(SoiQ

Dust(SoiQ

Dust(SoiQ

Dust(SoiQ

Dust(Soil)

Dust (SoiQ

Dust(Soil)

Dust (Soil)

Collected

12/8/2015

2/12/2016

1/12/2016

2/11/2016

2/15/2016

2/15/2016

1/15/2016

2/23/2016

2/9/2016

' '.j' I D1292-l

i D1337-B1

I L-1292 I GeoSpecialio_n _ _ _ ciust(Soil) 1/14/2016 B1-1337 1 GeoSpeciation Dust (Soll) , 1/18/2016

iJ-7 D1443-l L-1443 I GeoSpeciation I Dust (SoiQ · 1/27/2016

I V . D1556-E E-1556 I GeoSpeciation I Dust(SoiQ 2/2/2016 ,/ D1581-62 B2-1581 GeoSpeciation i Dust(SoiQ 1/26/2016

u/_ D1630-K K-1630 : GeoSpeciation I Dust (SoiQ 1/27/2016 I

I-

i

'

Special Instructions: Dust samples for Geospeciation

Items/Reason I Relinquished by (Signature and Organization)

I

Numb Container Cont

1 1

1

1

1

1

1

1

1

1

1

1

1 ,

No: 8--071316--095334-0056 Cooler#: 1

Lab: Bioassay Lab Phone: 30~2-&;82

Preservative Lab QC

I

I I I 1 ' I - ,---i

1

1

I I I

SAMPLES TRANSFERRED FROM

CHAIN OF CUSTODY#

Date/Time Sample Condition Upon Receipt

~0"" ! 1-1~--~ 1)1"<7= I J-J:At I

of4

USEPA CLP lnorganics COC (REGION COPY)


CarrierName: FedEx

AirbillNo: 8055 6222 5005


Colorado Smelter/CO

Case#: NA

Cooler#: 1

No: 8--032216-145729--0035 lab: Bioassay

lab Contact: Dr. John Drexler

lab Phone: 303-482-6682

Inorganic Matrix/Sampler Coll. Analysis/Turnaround 'Bottles Tag/Preservative/ Station Location

Collected Organic Sample Type I Sample# Sample# Method

~ S0037-SYN~ Soil/ BW I Subsample Spc I 0001-01 -Bio I

S0164-SYW- Soil/BW Subsample BioAvail. Spc •' 0001-01-Bio

S0183-DZ-0001- Soil/MH Subsample BioAvail, Spc / 01-Bio

, S0183-SYW- Soil/MH Subsample BioAvail, Spc ' 0612-01-Bio

,, S0249-APN- Soil/BW Subsample BioAvail, Spc ' 0612-01-Bio

, S0249-SYS- Soil/MH Subsample BioAvail, Spc 0001-01-Bio

,- S0252-SYN- Soil/BW Subsample BioAvail, Spc ' 0001-01 -Bio

, S0294--BY-0106- Soil/MH Subsample BioAvail, Spc • 01-Bio

~ 0318-FY-0106- Soil/ MH Subsample BioAvail, Spc ' 01-Bio

/ S0325-BYS- Soil/MH Subsample BioAvail, Spc I 0106-01 -Bio

1,. S0356-BYW- Soil/BW Subsample BioAvail, Spc

0001 -01 -Bio -

Special Instructions: Please contact Steve Singer with any questions.

Analysis Key: Spc=GeoSpeciation, BioAvail=Bioavailability, Pb and As

B (None) (1)

A, B (None)1

A, B (None) I

:3)

:3)

A , B (None) (: [3)

A , B (None)(: [3)

A , B (None) (: [3)

[3) A , B (None) (:

:3) A, B (None) I

:3) A , B (None) I

:3) A, B (None) (:

A, B (None) I :3)

SYN-0037

SYW-0164

DZ-0183

SYW-0183

APN-0249

SYS-0249

SYN-0252

BY-0294

FY-0318

02/11/2016 10:50

12/101201510:05

02/01/2016 08:00

02/01/2016 08:00

12/15/2015 11 :05

02/01/2016 08:00

12/16/20161 1:35

I

Subsample

Subsample

Subsample I

Subsample

Subsample

Subsample

Subsample

Subsample 0210112016 o:=t=8·oo

""'""'" """ ~ I ., .... ,~ BYS-0325 02/01/2016 08:00 ~ ample

_ _.__s_vw_ -0356 01/11/201610:00 I I Subsample .

Shipment for Case Complete? N __J Samples Transferred From Chain of Custody .:____J

__J

Date ~ece· d by Date ~ ems/Reason Relinquished By Date Received by ~ j Tim:..j

1-- . --~ V--/ V//f-KLIVM-~JJ lh J J?0?ll-_Jj_-++-- - - f---- ---+ F __ =--+-----+-~ -I - ~ --1-- I --J 0

1L __ 1

of4


DateShipped: 3/23/2016 CarrierName: FedEx

AirbillNo: 8055 6222 5005

Inorganic Sample#

S0360-BY-1218-t / 01 -Bio

Matrix/Sampler

Soil/BW

S0362-GA------=--c-cc-ccc---Soil/MH 0612-01-Bio

Coll. Method

Subsample

Subsample


Colorado Smelter/CO

Case#: NA Cooler#: 1

Analysis/Turnaround Tag/Preservative/Bottles

BioAvail, Spc A, B (None) (3)

BioAvail, Spc A , B (None) (3)

Station Location BY-0360

-~-0362

Collected

No: 8-032216-145729-0035 Lab: Bioassay

Lab Contact: Dr. John Drexler

Lab Phone: 303-482-6682

Organic Sample Type Sample#

- 0-1-11-2-,2-0_1_6_1_4_:5-0--I -- - -+--- - --1

02/01/2016 08:00

A, B (None) (3) BY-0375 02101/2016 08:00

Subsample J ·subsample I

Subsample I

L, S0375-SYW- Soil/ MH Subsample --- BioAvail, Spc -- A, B (None) (3) SYW-0375 02/0112016 08:00 Subsample I ~ S037g;~~!001-_ ,__s_o_ill_M_H Subsampl±= BioAvail, Spc - - - - -+-=-= --+----,===-::-c-::--= t-

1

• ~ 0001 -01-Bio . _ _ _____ --<--- ------+- - -- - ----1---~ ----~ S0376-FY-0001- Soil/ BW Subsample BioAvail, Spc A , B (None) (3) FY-0376 12/04/20151415 I I Subsample

1 03-Bio L _ +--- + -+ "'S0376-FY-0106- Soil/ MH Su,bsample BioAvail, Spc - - A. B (None) (3) ---i=v-0376 02/01/2016 08 00 -- Subsample

. ,, 01-Bio I ~ J,0453-BY-0001- Soil/ BW Sut,gample BioAvail, Spc -- A, B (None) (3) BY-0453 02/1012016 09 05 Subsample !

01-Bio ____ - - - --'----- --- -~- ___ __ ----- -f- _ ,0453-BY-0106- Soil/ BW Subsample BioAvail, Spc A , B (None) (3) BY-0453 02110/2016 09 10 I Subsample 1

01-Bio ~ i S074~~~i· 100- Soil/ MH Subsample BioAvail, Spc -- -,-1-- A~,--ccB (None) (3) AP-0748 02/01/2016 08:00 .I{: Subsam~ple

,. S0750-AP-0001- SoiV BW - Subsample~ BioAvail, Spc_ _ _ A, B (None) (3) =f AP-0750 02/09/2016 16:25 - - Subsample

V 01-Bio I ,1,1013-FY-0001- Soil/ BW Subsample BioAvail, Spc A, B (None) (3) ~ Y-1013 12115/2015 13:20 Subsample7

# / 01-Bio 1

__ ___ I_ ~ _ __ __L _ _J ,.

Special Instructions: Please contact Steve S~ger with any questions.

I Shipment for Case Complete? N- - -i Samples Transferred From Chai~ustody # J

l Analysis Key: Spc=GeoSpeciation, BioAvail=Bioa~. Pb and As-- _ _ ___ __ __ _ __ _j_ == --__ __ __ I

Items/Reason ~ te l

~1 Time j Items/Reason I Relinquished By

I -l~ te=r Received by I Date

L· Time

•

Page 3 of 4



CarrierName: FedEx

AirbillNo: 8055 6222 5005


Colorado Smelter/CO

Case#: NA

Cooler#: 1

No: 8-032216-145729-0035 Lab: Bioassay


Lab Phone: 303-482-6682

Inorganic Matrix/Sampler Coll. Analysis/Turnaround I Tag/Preservative/BottlE ts I Station Collected I Organic Sample Type Sample# Sample# Method

S1061-SY-0106- Soil/BW Subsample BioAvail, Spc ,,. 01-Bio . .I S1115-FYN- Soil/BW Subsample BioAvail, Spc

• 0106-01-Bio

, S1122-GA- Soil/BW Subsample BioAvail, Spc j 1218-01-Bio

S1307-GA-V 1218-01-Bio

Soil/BW Subsample BioAvail, Spc

I S1495-ED-0612-.,- 01 -Bio

Soil/ BW Subsample BioAvail, Spc

~S1581-FY-0001- Soil/BW Subsample BioAvail, Spc , 01-Bio -

S1581-FY-0106-~ 01-Bio


S1648-BY-0001 - Soil/BW Subsample BioAvail, Spc

' 01 -Bio -S1649-BY-0106- Soil/BW Subsample BioAvail, Spc ,, 01 -Bio

S1651-FY-0106-Y 01 -Bio


S1653-BY-0106- Soil/BW Subsample BioAvail, Spc / 01-Bio

Special Instructions: Please contact Steve Singer with any questions.

~ nalysis Key: Spc=GeoSpeciation, BioAvail=Bioavailability, Pb and As

Location

A, B (None) (3) SY-1061 01/22/2016 12:35 Subsample

A , B (None) (3) FYN-1115 02/03/2016 15:14 I -Subsample

A , B (None) (3) GA-1122 02/08/2016 10:50 Subsample

A , B (None) (3) G A-1307 01 /19/2016 09:15 ' Subsampl e

A , B (None) (3) ED-1495 02/10/2016 12:55 Subsample

-A. B (None) (3) FY-1581 01/28/2016 09:55 I Subsample

A, B (None) (3) FY-1581 01/28/2016 10:00 Subsample

A , B (None) (3) BY-1648

_, A , B (None) (3) BY-1649

FY-1651 01/11/201613:45 Subsample A , B (Non

A, B (Non

02/01/2016 09:57 Subsample

02/04/2016 09:20 R Subsample

3) I BY-1653 01 /05/201613:20 I I ~

~pment for Case Complete? N -----i

___________[_,,.,,. ,,.~•=' ,rom Ch>O •• c~~

Items/Reason Relinquished By Date Received b_y __

_ :JJ

of 4

USEPA CLP lnorganics COC !REGION COPY)


CarnerName: FedEx

AirbillNo: 8055 6222 5005

Inorganic tatrix/Sampler Sample#

l,51653-ED-0106- SoiV BW V 01-Bio

S1655-BY-0106-1/ 01-Bio

S1807-BY-0001-t _,.. 01-Bio

I . S1823-FY-0612-~ 01-Bio

S1831-AP::0106-t 01-Bio

S1831-BY-0106-• 03-Bio

• S1831-FY-0001 -01 -Bio

I J, S1910-BYN-0001 -01 -Bio

SoiVBW

Soil/BW

Soil/BW

Soil/BW

SoiVBW

Soil/MH

Soil/BW

..

• Coll.

Method

Subsample •

Subsample

Subsample

S~bsample

Subsample

Subsample

Subsample

Subsample

I,, . · S0037-SYN- 1 Soil/ BW Subsample ;Q\ ,·:/:> 0001-01-B10

-~1------ ----+-


Colorado Smelter/CO

Case#: NA Cooler#: 1

No: 8-032216-145729-0035 Lab: Bioassay


Lab Phone: 303-482-6682

Analysis/Turnaround Tag/Preservative/Bottles Station Collected I Organic !Sample Type [

___ __ _,_ _ _ L_o_c_a_ti_o_n_ J Sample# I Subsample BioAvail, Spc A, B (None) (3) ED-1653

BioAvail, Spc A, B (None) (3) BY-1655


BioAvail, Spc A, B (None) (3) FY-1823

BioAvail, Spc A, B (None) (3) AP-1831


BioAvail, Spc A, B (None) (3) FY-1831

BioAvail, Spc A, B (None) (3) BYN-1910

BioAvail A(2) SYN-0037

01/05/2016 12:35

02/16/2016 09:35

01/26/2016 09:40

02/09/2016 10:15

12/18/201511:00

12/18/2015 10:20

02/01 /2016 08:00

Subsample

Subsa~

~ mple

Subsample

Subsample

Subsample

01/13/2016 12:55 I 1

, Subsample I

02/1112016 10:50 Subsample

L ~l=-=:3 fsi"pment for Case Complete? N j

Special Instructions: Please contact Steve Singer with any questions. ----- ------- I Samples Transferred From Chain of Custody# j ~nalysis Key: Spc=GeoSpeciation, BioAvail=Bioavailability, Pb and As ___ _______ ___ _ _________ _

Date Time

!e0J.

Items/Reason Re

r=-1-++--

,linquished ~ I Received by I --- --- - --

·~

- - - --

~-l ··i -ij

of 4

USEPA

OateSh,pped'. 615/2015

CarnerNnme. FedEx Aolt>ltlNo· 8071 6276 7635

Lab# Sample#

S1592-PA-0106-01-Bio S1615-BY-0002-32·

L -·

Bw, S1654-FY-0002-01 • 9.,

Locotlon

PA-1592

BY-1615

FY-165'1

Analysts


Cok)rado SmeltertCO Contact Name: Sto"e Slngec

Cont&d PhOne: 3()3..27-4..SCOO xSJ

-- - Uatnx.

810<1vailab16ty, Pb and As S-Oil

8¢3.vallability. Pb and As Soi

B+oavadabili(y, Pb and As Soil

-

Special l nSWCbO,'l&: Contact Steve Singer with :my quesliOOs

Collected Numb Conta iner Cont

5/15/2()15 1 Bag

511512015 1 Bag

511-C/2015 1 Bag

::ewedby '-4- Rehnq-ed by I 0918 I ·-,fece, Dote Time Items/Reason Rehnqu11hed By Date I

-- L_

No: 8-060515-104720-0005 Coo'8r#. 1

Lab Sioassay

Lab Phone. 303--482-6682

Praaervative MSIMSOl

---1 ···-

-

Received by Data T,mu .

- ·-

~]

Ptgt 3 of 4

USEPA

OateSl,,wed 615/2015

CarriefNarne. FedE.x AirbiUNo- 8071 5276 7635

Lab# Sampt.#

S1615--SY-0002-32·

f-BM>O

S161S.8Y-OX12-32· SPC

S1654-FY-0002-01-BioO

S 1654-FY-0002-01 • SPC

SOOOO-WP6-0002-01-Bio

~

S0161-GM)()()2-01-B,o

S0181-SY-0612-01-810

S0389-FY-0001-01-Bio - S042~YE-0001-02-8,o - 50423-SYE-0001-31-Bio - S0423-SYE-0106-33-B,o

Location

8Y·1615

BY-1615

FY-1654

FY-16$,4

\NP6

GA-0181

SY-0181

FY-0389

SYE-0423

SYE-0423

SYE-0423


Cotofedo Smel\erJCO Contact Name Sieve Stt'>g8(

ContactPhOne J03..274-.5400x53

Matrix ~ •fy•ff

ioava,labiJ1ty, Pb and A$ Soil

GeoSpecia0on Soi

Col-.Cted

5115/2015

511512015

BtoavailaMily, Pb and As Soil -5/14'2015

GeoSpeoatioti Soi 5/14/2015

8t0ava1labftfy, Pb and At. Sol 5/6/2015

Bioava11abl4tty. Pb and A$ So.I 5/7/2015

_L__ 8ioavailabd1ly. Pb and As So.I 5/7/2015

Bioavaillbruty. Jlt>: and As So.i 5/13/2015

Bioavadability Pb and As. So.i 514/2015

Sk>avaitability, Pb and As i Soi 51<4;'2015

SioavaHability, Pb aod As So.I 5/4/2015

Numb Container Cont

1 Bag

1 Bag

1 Bag

1 Bag

1 Bag

No: 8-060515-104720-0005 Cooler# 1

Lab. Bioassay Lab Phone: 303--482-6682

Pruervative MSIMSO

1 -Bag-- -- .

1 Bag

1 Bag

-1 Bag

1 Bag

1 Bag

t """"'' lnstrucoons: =•ve Songer with any quesbons

SAMPLES TRANSFERRED FROM

CHAIN OF CUSTODY ti

ltemsJReaion Relinquished by Oate _ ~ ivedby Oate r ltema/Reason Rehnquiahed By Dale rime

I I /I/I

I ·t I, -- T

-t -- +-- - --I

- - T - - -t j

of4

USEPA

OaleSh1ppod· 6/512015 CamerName: FedE,c AlfbdlNo· 8071 5276 7635

Lab# Sample#

S0181-SY-0612-01· SPC ----$0389-FY-0001-01-BioO S038'9-FY..0001--01-SPC

S0423-SYE-0001· 02-B,oO

S0423-SYE-0001 • 02-SPC

S0423-SYE-0001-31-&>0

f-- -S0,,423-SYE-0001· 31-SPC

50423-SYE-0106-33-8100

~

S0423-SYE-0106-33-SPC S1592-PA-0106-01-BloO S1592-PA-0106-01-SPC

Location

SY-0181

FY-0389

FY-0389

SYE-0<23

SYE-0423

SYE-0423

SYE-0423

SVE~23

S YE-0423

PA-1592

PA--1592

CHPJN OF CUSTODY RECORD

Cdofado Smelter/CO Contad Name Steve Singot'

Contact Phone; 303-274-5400 x53

Anatyses Matro;

GeoSpeeiation Soll I

Bioavadability. Pb and As Soil

Geo$pec:iahcn Soll

BioavaliabiGty. Pb and As Soil

GeoSpeciation Soil

8ioeva1,abilrty. Pb and As Soil

GeoSpeciaoon Soil

Bioava1labtlity. Pb and As Soil

G$oSpeciabon Sool

Oioavadabildy, Pb and As Soil

Geo$pectabon Soil

Colle~ted

5n/2015

5/13/2015

SHJ/2015

514/2015

5/4'12015

514'2015

514/2015

5'4/2015

51-4/2015

5115/2015

51151'2015

Numb Contalnor Corit

1 S.g

1 Bag

1 Bag

1 Bag

1 Bag

1 Bag

1 Bag

1 Sag

1 Bag

1 Bag

-- 1 Bag

No: 8-060515-104720-0005 Cooaer#" 1

Lab Bioauay

Lab Phooe 303--6682

Preservativ• MS/MSO

-

[::_•Hnstrucoon• Contact Ste"" Slnge,w4h any qU68boM.

SAMPLES TRANSFERRED FROM -CHAiNoF CUSToo=v,,-c--. --------'

1 !terns/Re Hon / Relinqu,.hed by r- - Date Rea,Nedby Dale Time Items/Reason Reii~~1*:d By Date rome

114 -I

I - - I - -[ - - -·

__ ]__ -- - W · · · -

- ·- ___ L_ --

of4

USEPA

DateSh;pped. 6/5/2015

Ca«ierName FedEx A1rt11IIN0 8071 5276 7635

I ub • Sampto#

SOOOO-WP3-0002-01-BIO SOOOO-WP3-0002-01.s.oo

SOOOO-WP3-0002· 01-SPC SOOOO-WPS--0002• 01.&o,

SOOOO-VWS--0002· 01-BloO SOOOO-WP5-0002-01-SPC SOOOO-WPS-0002-01·BK>O SOOOO-WP6-0002-01-SPC

Location

IM'3

VW3

WP3

WPS

WPS

WPS

WP6

WP6

·-~ S0181-GA-0002-01· GA.0181 8100 S0181-GA.()()02-0i• GA-0161

---- SPC so1e1-sY-0012-0t·. S v-01s1 -·--

'--·-BioO

r-


Colorado Smelter/CO Contact Name Steve Singer

Contad. Phone: 303-274•5400 x53

Analy._.. Matrix

BiOavailabdrty, Pb and As Soi

Bioavailabl:.ty, Pb and As Sol

GeoSpec.iation Sod

Bloavail.ability Pb and As So<

Bioevaitabilrty. Pb and As Sod

GeoSpeciaoon Soil

Bioavaiabi~ty, Pb and~ SoU

GeoSpeaalJOn SoW

Btoavaqbility, Pb and As s., --=· So,I

Bioavaifability Pb and As Soll

Collected

516/2015

51612015

5/6/2015

516/2015

516/2015

516/2015

516/2015

516/2015

517/2015

51712015

517/2015

Numb Contalnor Cont

1 Bag

I Bag

I Bag

, Bag

1 Bag

1 Bag

1 Sag

1 8ag

1 Bag

1 Bag

1 Bag

No: 8-060515-104720-0005 Cooler#: 1

Lab 81oassay

I.lib Phone· 303-462.{;682

Preservative MS/MSO

E'=" j , ~~by j Date i r ""' i

+- ·;._ ..)_

Appendix E

Evaluation of the Contribution of Outdoor Lead in Soil to Indoor Lead in Dust at Colorado SmelterSuperfund Site

TECHNICAL MEMORANDUM, SITE-SPECIFIC SOIL-TO-DUST MASSTRANSFER RATIO (MSD) CALCULATION

COLORADO SMELTER SUPERFUND SITEPUEBLO, PUEBLO COUNTY, COLORADO

May 2017Revision 1

Prepared for:

U.S. EPA Region 8Denver, Colorado

Prepared by:

3000 Youngfield Street, Ste. 300Wheat Ridge, Colorado 80215

303-274-5400

Colorado Smelter OU1 Technical Memorandum,Site-Specific Soil-to-Dust Mass Transfer Ratio (MSD) CalculationRevision Date 6/01/2017 Page 2

Table of Contents

Executive Summary.................................................................................................................................... 6

1.0 Introduction.................................................................................................................................... 8

2.0 Description of Soil and Dust Data ................................................................................................ 8

2.1 Dust Sample Concentration ............................................................................................................. 8

2.2 Soil Sample Concentrations............................................................................................................. 9

2.3 Representativeness of Dust and Soil Data ..................................................................................... 11

2.4 Descriptive Data ............................................................................................................................ 11

3.0 Statistical Analysis ....................................................................................................................... 13

3.1 Dust Concentration Summary Statistics ........................................................................................ 13

3.2 Soil Concentration Summary Statistics.......................................................................................... 15

3.3 Estimation of Site-Specific MSD Parameter – Average Soil Concentrations, Full Data Set .......... 15

3.4 Estimation of Site-Specific MSD Parameter – Maximum Soil Concentrations, Full Data Set ....... 20

3.5 Estimation of Site-Specific MSD Parameter – Average Soil Concentrations, Smaller Subsets...... 21

3.6 Spatial Analysis of Dust Concentration and Soil Concentration ................................................... 25

3.7 Dust Concentration versus Other Numerical Measures – Linear Regression................................ 27

3.8 Dust Concentration versus Other Categorical Measures – ANOVA............................................. 31

3.9 Elemental Comparison – Regressions ........................................................................................... 35

4.0 Summary....................................................................................................................................... 39

Figures

Figure 2-1. Hypothetical Residential Property ....................................................................................... 10

Figure 2-2. CO Smelter Homes Sampled for Indoor Dust (102 Homes)................................................ 12

Figure 2-3. Property Groupings Map...................................................................................................... 14

Figure 3-1. Regression of Average Dust Concentration versus Area-Weighted Average SoilConcentration for Lead ........................................................................................................................... 16

Figure 3-2. Regression of Average Dust Concentration versus Area-Weighted Average SoilConcentration for Lead after Removal of Outliers ................................................................................. 17

Figure 3-3. Regression of Average Dust Concentration versus Maximum Soil Concentration for Lead................................................................................................................................................................ 20

Figure 3-4. Regression of Average Dust Concentration versus Maximum Soil Concentration for Leadafter Removal of Outliers........................................................................................................................ 21

Figure 3-5. Regression of Average Dust Concentration versus Area-Weighted Average SoilConcentration for Lead, Properties in Close Proximity Area ................................................................. 22

Figure 3-6. Regression of Average Dust Concentration versus Area-Weighted Average SoilConcentration for Lead, Properties in Eilers Neighborhood................................................................... 22

Figure 3-7. Regression of Average Dust Concentration versus Area-Weighted Average SoilConcentration for Lead, Properties within 1,000 feet of Stack............................................................... 23




Figure 3-10. Regression of Area-Weighted Average Soil Concentration versus Distance from theFormer Smelter Stack ............................................................................................................................. 25

Figure 3-11. Regression of Average Dust Concentration versus Distance from the Former SmelterStack........................................................................................................................................................ 26

Figure 3-12. Regression of Average Dust Concentration versus Distance from the Former SmelterStack with Outliers Removed ................................................................................................................. 27

Figure 3-13. Colorado Smelter Properties, Lead Dust Data Residuals................................................... 28

Figure 3-14. Regression of Average Dust Concentration versus Number of Residents: ........................ 29

Figure 3-15. Regression of Average Dust Concentration versus Number of Child Residents: .............. 29

Figure 3-16. Regression of Average Dust Concentration versus Number of Pets:................................. 30

Figure 3-17. Regression of Average Dust Concentration versus Years in Home:.................................. 30

Figure 3-18. Regression of Average Dust Concentration versus Carpet Percentage:............................. 31

Figure 3-19. ProUCL ANOVA Results for Average Dust Concentration versus Pets: .......................... 32

Figure 3-20. ProUCL ANOVA Results for Average Dust Concentration versus Construction Date:.... 32

Figure 3-21. ProUCL ANOVA Results for Average Dust Concentration versus Owner/Renter: .......... 33

Figure 3-22. ProUCL ANOVA Results for Average Dust Concentration versus Soil Coverage:.......... 33

Figure 3-23. ProUCL ANOVA Results for Average Dust Concentration versus Smoking: .................. 34

Figure 3-24. ProUCL ANOVA Results for Average Dust Concentration versus Fireplace:.................. 34

Figure 3-25. ProUCL ANOVA Results for Average Dust Concentration versus Shoes-Off Policy: ..... 35

Figure 3-26. Arsenic-Lead Regression for Average Dust Concentrations.............................................. 36

Figure 3-27. Copper-Lead Regression for Average Dust Concentrations .............................................. 36

Figure 3-28. Zinc-Lead Regression for Average Dust Concentrations................................................... 37

Figure 3-29. Arsenic-Lead Regression for Area-Weighted Average Soil Concentrations ..................... 37

Figure 3-30. Copper-Lead Regression for Area-Weighted Average Soil Concentrations...................... 38

Figure 3-31. Zinc-Lead Regression for Area-Weighted Average Soil Concentrations .......................... 38

Tables

Table ES-1. Comparison of Colorado Smelter Data Set with other Datasets Reported in Brattin andGriffin (2011)............................................................................................................................................ 7

Table 3-1. Summary Statistics for Lead Concentration in Dust Samples............................................... 15

Table 3-2. Summary Statistics for Lead Concentration in Soil Samples ................................................ 15

Table 3-3. Comparison of Colorado Smelter Data Set with other Datasets Reported in Brattin andGriffin (2011).......................................................................................................................................... 19

Table 3-4. Comparison of Full Colorado Smelter OU 1 Lead Dataset with Subsets of the Data ........... 24


Appendices

A Dust Concentration Data

B Soil Concentration Data

Attachments

1 Brattin and Griffin, 2011


List of Acronyms

A/C Air conditioningCdust Average dust concentrationCsoilavg Area-weighted average soil concentrationCsoilmax Maximum soil concentrationCLP Contract Laboratory ProgramDQO Data quality objectiveDU Decision unitEPA U.S. Environmental Protection AgencyFS Feasibility studyICP-MS Inductively-coupled plasma mass spectrometryIEUBK Integrated Exposure Uptake BiokineticK0 Average concentration of lead in dust that is not attributable to soil entering the homeMSD Soil-to-Dust Mass Transfer RatioOU Operable unitPWT Pacific Western Technologies, Ltd.QAPP Quality Assurance Project PlanRI Remedial investigationTt Tetra Tech, Inc.XRF X-ray fluorescence

Units of Measurement

ppm parts per million


Executive Summary

Dust and soil concentrations for lead were analyzed statistically for a Colorado Smelter dataset consistingof 102 homes that had paired soil and dust data. The goal of the statistical analysis was to determine whethera site-specific soil to dust mass-transfer ratio (MSD) is justifiable for the site, and if so, what MSD valueshould be used. Results were compared to other Region 8 sites, and the comparison indicated that therelationship between the concentration of lead in indoor dust and the concentration of lead in outdoor soilis more weakly correlated than the default value of 0.7 used in the IEUBK model. In addition to the weakerlinkage between the indoor dust concentration and outdoor soil concentration, the correlation coefficient(R2=0.32) was higher than most similar data sets available for comparison. See Table ES-1 for a summaryof the results and a comparison to other Region 8 sites.

Several other statistical analysis methods were investigated, as follows:

• Calculation of the same correlations between lead concentration in dust and soil for five subsetsof the data by distance/direction from the smelter stack.

• Spatial analysis of lead concentration against distance and direction from the smelter stack, andplotting of residuals from the dust-soil relationship to see if there were spatial correlations.

• Statistical analysis of lead concentration in dust against several numerical and categoricalvariables for which data was collected during dust sampling.

• Preliminary statistical analysis of arsenic, copper, and zinc concentration against leadconcentration for both soil and dust.

None of these statistical approaches indicated test results or correlations that appeared helpful for fine-tuning the statistical analysis for the data set.

Although the correlation between dust and soil concentrations for lead at the Colorado Smelter site isobjectively low (R2=0.32), this is expected since there are multiple causes of lead in dust aside from track-in from outdoor soil. In comparisons of the correlation coefficient and the MSD value against other Region8 sites with similar datasets, the correlation is among the strongest observed in Table ES-1. Both therelatively strong correlation for the type of data set and the consistent observation of lower MSD values thanthe IEUBK default value support that the use of a site-specific MSD for the Colorado Smelter site isjustifiable.


Table ES-1. Comparison of Colorado Smelter Data Set with other Datasets Reported in Brattin and Griffin (2011)

Site LocationNumberof datapairs

Numberof datapairs

fitted a

Linear regression parameters b Bartlett’s method parameters b

Slope (MSD) Intercept (K0) R2 Slope (MSD) Intercept (K0)

Colorado Smelter Pueblo, CO 102 93 c 0.36 (0.25-0.47) 27.0 (-8.4-62) 0.32 0.35 (not calculated) 30 (not calculated)Butte-Silverbow Walkerville, MT 196 192 0.20 (0.13-0.26) 280 (197–363) 0.14 0.27 (0.17–0.39) 206 (96–305)California Gulch Leadville, CO 200 196 0.14 (0.11–0.17) 565 (491–639) 0.35 0.23 (0.18–0.29) 434 (340–511)

East Helena East Helena, MT 30 29 0.25 (0.12–0.39) 181 (74–288) 0.35 0.27 (0.06–0.50) 173 (34–299)Eureka Mills Eureka, UT 55 54 0.14 (0.07–0.20) 467 (329–606) 0.23 0.15 (0.07–0.23) 450 (316–578)

Midvale Slag OU 1 Midvale, UT 40 40 0.04 (-0.13–0.21) 289 (210–368) 0.01 -0.21 (-0.74–0.07) 384 (277–580)Midvale Slag OU2 Midvale, UT 90 88 0.09 (-0.01–0.20) 139 (123–156) 0.03 0.04 (-0.14–0.20) 146 (128–165)

Murray Smelter Murray, UT 22 21 0.19 (0.03–0.36) 174 (39–309) 0.24 0.23 (0.04–0.45) 150 (2–277)Sandy Smelter Sandy, UT 165 161 0.12 (0.09–0.14) 122 (93–151) 0.37 0.15 (0.11–0.19) 98 (61–132)VB170 OU1 Denver, CO 74 72 0.34 (0.17–0.51) 150 (91–210) 0.18 0.35 (0.15–0.55) 146 (86–206)

Notes:

a See notes in Brattin and Griffin regarding the number of data pairs fitted.

b Values in parentheses are the 95% confidence intervals around the mean. Confidence intervals have not been calculated for Bartlett’s method for the Colorado Smelter data, butmay be calculated later.

c Outliers were excluded if the residual for the data pair (the absolute value of [predicted dust concentration – measured dust concentration]) was outside 3 times the standarddeviation of the residuals for the full data set. Additional outliers appeared after the initial outliers were excluded, resulting in 9 total outliers.


1.0 Introduction

This purpose of this memorandum is to summarize the relationship between lead concentration in soil tolead concentration in indoor dust for the first 102 homes sampled for indoor dust within Operable Unit(OU) 1 of the Colorado Smelter Superfund Site (Site). Pacific Western Technologies (PWT) and Tetra Tech(Tt) are currently working with the U.S. Environmental Protection Agency (EPA) to conduct a RemedialInvestigation (RI)/Feasibility Study (FS) for OU1 of the Site.

The EPA Integrated Exposure, Uptake and Biokinetic (IEUBK) model (USEPA 1994) is used to evaluaterisks to children from exposure to lead in environmental media, including outdoor soil and indoor dust aswell as other media. Exposure to soil and dust can often contribute the highest risk of exposure, especiallyat hazardous waste sites where lead is a contaminant of concern. In addition, at sites where lead is presentin soil, the presence of lead in indoor dust may be at least partially a result of the contribution of soil toindoor dust through pathways such as airborne dust entering through windows and doors or soil tracked inon shoes or by pets. The MSD term is one of the parameters of the IEUBK model that may be set to a site-specific value when justified with sufficient site-specific data.

At sites where paired analytical data have been obtained for both indoor dust and outdoor soil, it is possibleto estimate the relationship between the concentration of lead in dust and the concentration of lead in soil.This relationship is described by the site-specific soil-to-dust mass transfer ratio (MSD). One method ofestimating the MSD has been described by Brattin and Griffin (2011). This memorandum will use the Brattinand Griffin method to estimate the site-specific MSD for the OU1 of the Site.

In addition to estimating the site-specific MSD, this memorandum summarizes several other explorationsof possible relationships between the concentration of lead in dust and potential causative relationshipswith property-specific variables. The data for these variables was collected as part of the dust samplingactivity. The variables included a wide variety of potential causes, although some variables such asoccupational history were not collected because of concerns about the privacy of residents.

2.0 Description of Soil and Dust Data

Soil and dust sample data collected from residences within the Colorado Smelter OU1 preliminary studyarea were used for this analysis. The soil and dust data were collected in a paired fashion, with most dustsampling conducted the same day as the soil sampling, and almost exclusively within two days of the soilsampling at the property. The sole exception was a property for which the dust sampling occurred 39 daysafter the soil sampling.

2.1 Dust Sample Concentration

Dust samples were collected from floors in residences within the Site OU1 preliminary study area, andsubmitted to an EPA Contract Laboratory Program (CLP) analytical laboratory for analysis. Between 1 and5 dust samples were collected at each residence, from both carpeted areas and hard flooring with no carpet.Prior to shipment for analysis, hair and other non-dust material collected by the dust sampling apparatuswere removed from the sample.

Dust concentrations for lead were used in the calculation. The average dust concentration (Cdust) wascalculated for each residence using normal averaging (equal weight for each sample location).


Two notes regarding the averaging:

1. Duplicate samples were averaged to create one value for each sampling location (normally a room).2. Attic data were excluded from the calculations, because attics are typically not living spaces. Using

those data would result in concentrations not representative of residential exposure. These datawere collected to aid in assessing dust concentrations representative of a longer time frame than isrepresented by dust samples collected within the home.

2.2 Soil Sample Concentrations

Soil samples were collected from four different depth ranges at several decision units (DUs) at each of theproperties sampled. For this analysis, only the top soil layer (0 to 1 inch below ground surface) was used,since this is the layer expected to correlate most strongly with dust concentration within a residence. Eachproperty had between 2 and 9 DUs; the average number of DUs per property was 4.6 for the 102 homeswith dust data.

Soil samples were initially analyzed by x-ray fluorescence (XRF). A subset of soil samples were selectedfor confirmation by inductively-coupled plasma/mass spectrometry (ICP-MS) analysis. For each of thesesamples, a subsample was collected and again analyzed by XRF to confirm the subsample wasrepresentative of the overall sample, and the subsample was then shipped to the EPA-assigned CLPanalytical laboratory for analysis.

For each property with dust data available, an area-weighted average concentration (Csoilavg) was calculatedby summing the product of the area and the concentration of each DU, and dividing that sum by the totalarea of all DUs at the property. The equation is shown below:

� � � � � � � � =∑(� � × � � � � � )

∑ � � � � �=� � × � � � � � + � � × � � � � � +⋯+ � � × � � � � �

� � � � � + � � � � � +⋯+ � � � � �

An example calculation is given below, for a hypothetical property shown in Figure 2-1. The estimatedvalue of Csoilavg is 243 ppm, given by the equation below:

� � � � � � � � =(177 × 1631) + (236 × 517) + (550 × 206) + (332 × 526)

(1631 + 517 + 206 + 526)=

698631

2,880= 243 � � �

Because of the potential for lead resulting from lead paint in the drip zone areas of homes, the area-weightedconcentrations were calculated two ways; with and without drip zones included. The area-weightedaveraged soil concentration for lead without drip zone DUs included never differed by more than 20% fromthe area-weighted average soil concentration for all DUs including drip zone DUs. Therefore, to use mostrobust data set possible, only the area-weighted average soil concentration using all decision units was usedin the statistical analysis.


Figure 2-1. Hypothetical Residential Property

Sample S-ptXRF DUArea I Depth l ead Result I ft) i

! Inches] fppm) sq I 0-1 1n 1631

Sample

Depth

finches]

0-1

DIRT BY

l,Y

OIR'!

S-pt XRF OU Area Lead Result (sqft)

ppm)

S50 206

Sample 5-pt XRF Depth Lead Result

finches) fppml

0-1 236

DU Area

fsqltl

517

Sample 5-pt XRF OU Area I Depth Lead Result (sqlt) .

( Inches) ( m)

0-1 331 S26

Area Weighted Avuage

242.58

Noti:s·

Decision Unit

• D D

CJ

Froot Yard 1FY)

Back Yard (BYl

Apron IAPJ

Drip Zone (DZ>

Graphic cale 0 2 0'

L..-I inch = 20 f~et

FIGURE 2-1 P,opcny Code 0000 Re.sidcrmal Sa1npliny

Da..tc 112(.J~\7 Au1tl0f· MU

Rcnswn: 11 C'tli.:du.-d. -'!' •• .,.,,

•o· j

l1 !,

~ .. ~} Y~ 1 L,.11,Q"(E:


2.3 Representativeness of Dust and Soil Data

The first residential properties initially selected to be sampled were selected to cover the approximate rangeof conditions expected to be encountered within the study area. Spatial locations and historic winddirections were factored into the property selection process.

Figure 2-2 shows the locations of the subset of 102 properties from this group of 302 properties for whichboth soil and dust samples were collected. The figure shows that the sampling locations represent a fullrange of distances and directions from the former smelter location.

2.4 Descriptive Data

In order to obtain as much information as possible that might help in further characterizing the site andother possible statistical relationships, the following data were collected on dust questionnaires filled outduring dust sampling:

• Numerical variables:

o Number of residents

o Number of child residents

o Number of indoor pets – in two cases, the questionnaire indicated pets were present, butthe number of pets was not reported. These homes were excluded from tests using thisvariable.

o Years resident has lived in, or owned, the home – all homes included.

o Carpet percentage – This was calculated as the mass of sample from each decision unit(DU) identified as being from carpeted rooms divided by the total dust mass for thehome. Rooms with area rugs were considered to be carpeted. The dust mass for specificrooms was not filled out for 14 homes that had several rooms of different carpet statuscomposited together; these 14 homes were excluded from the analysis. As for theconcentration calculations, masses from duplicate sampling locations were averaged forthe calculation of carpet percentage, and attics were not included in the calculation.

• Categorical variables:

o Pets (Pets/no pets) – all homes included.

o Construction age (pre-1921, post-1921) – 1921 would be included in the “post”category, but no houses were built in this year. There were 24 homes for which theconstruction date was unknown; these were excluded from the test. Note that althoughone logical breakpoint for construction age would be 1978 to test for the possible effectof lead-based paint, the overwhelming majority of homes in the neighborhood beinginvestigated were constructed prior to 1978, so there would be insufficient sample size inthe post-1978 data group.

o Resident status (Owner/renter) – all homes included.

o Soil coverage in yard (lawn, sparse, bare) – for this, the lowest soil coverage for any DUin the property is selected. All homes were included.

o Smoker (indoor, outdoor, nonsmoker) – all homes included.

o Fireplace/wood stove present (fireplace/no fireplace) – two homes were unknown andwere excluded from the test.

o Shoes-off policy in house (Shoes off policy/no shoes off policy) – all homes included.

Figure 2-2. CO Smelter Homes Sampled for Indoor Dust (102 Homes)

I I

,,,,,,.-----....... _,,,, "'I .,,...,..... I .,,..., I __ ..,

I •• - I / I /I • I

, ~ • 'II ,, . / I

// I / l---------, / I

II I / . . . ,--------'

I • • • ', I • • ',

I • • ' I ti ,, <. •• ...... ...... > • •• • ............

/ .. . . . . . ......

• • I • • • I •• ~ I I I I I

• I

• • • •

. - • • • • •• •• • \ J • • •19 • I

C I I I I I I I ---, • L7 • •• 1.,

l--, I

• • I

•

I • • •• • • • • • • • r----------------=--------------,-

1 I I \ \

1

\ \

Flgure 2-2 CO Smelter Homes Sampled for Indoor Dust (102 Homes)

............

\ \ I ...... ..,

'-'1 I 1.. __ .J

• 302_1rdoof_rus,

c::J CO S~r S11e linit r~ PcellmraySlUdyma

One variable planned for testing was not tested due to a lack of sufficient variety:

• Forced Air Conditioning (A/C) present (A/C, no A/C) – all but one home had forced A/C.

Descriptive data are not reported by property code in this memo because of concerns about personally-identifiable information. The data are used in aggregate, and tables and figures in the statistics sectionsummarize the numerical results and the number of properties which fell into each category.

3.0 Statistical Analysis

Statistical analysis of the data included four steps. The first was the development of summary statistics fordust and soil. The second was the use of the methodology of Brattin and Griffin to estimate the site-specificMSD parameter. The sections below summarize the dust and soil concentrations for the homes in the paireddata set, and the results of the linear regression.

3.1 Dust Concentration Summary Statistics

Summary statistics for lead were developed for the full dust data set and also for six subsets of the data.The subsets of the data include six different areas, which are shown on Figure 2-3. These properties mayfall within one or more of these subsets in addition to being part of the full data set:

• Properties within the area bounded by Mahren Avenue to the east, Northern Avenue to the south,Abriendo Avenue to the west, Fairview Avenue to the north on the west side of Interstate 25(I-25), and Stanton Avenue to the north on the east side of I-25. This dataset is described as the“close-proximity” dataset, and includes many properties from all the other datasets.

• Properties within the Eilers neighborhood, which is bounded by Santa Fe Drive to the north andeast, Northern Avenue to the south, I-25 to the west, and the Arkansas River to the north. Thisdataset is described as the “Eilers neighborhood” dataset, and includes many properties from allthe other datasets.

• Properties within a 500-foot radius of the former smelter stack. This dataset is described as the “<500 feet from stack” dataset, and includes many properties from all the other datasets.

• Properties within a 1,000-foot radius of the former smelter stack. This dataset is described as the“< 1,000 feet from stack” dataset, and includes all properties in the “< 500 feet from stack”dataset and many from the “close-proximity” and Eilers neighborhood datasets.

• Properties within a 1,500-foot radius of the former smelter stack. This dataset is described as the“< 1,500 feet from stack” dataset, and includes all properties in the “< 1,000 feet from stack”dataset and many from the “close-proximity” and Eilers neighborhood datasets.

• Properties within a 2,000-foot radius of the former smelter stack. This dataset is described as the“< 2,000 feet from stack” dataset, and includes all properties in the “< 1,000 feet from stack”dataset and many from the “close-proximity” and Eilers neighborhood datasets.

•

Figure 2-3. Property Groupings Map

Legend

D Close-prmcimity MSD sllidy area

D Eilers MSO study area

D < 500 feet from stack

< 1,000 feel from slack

c:J < 1,500 feel from slack

[:] < 2,000 feet from stack

Figure 2 - 3 Property Groupings Map ~: -.! Prellmlnary Study Area

- Properties

B iers Smokestack 1!11.'\D t~~~G:MII. FFliC!=:lll ~

.,.~e E:lffl.431e:1~ z:m

Statistics include the number of properties, the minimum, maximum, and mean lead concentration for allproperties in the data set, and the 95% upper confidence limit on the mean for each data set. ProUCL version5.1 was used to calculate the 95% UCLs (EPA, 2016). These statistics are presented in Table 3-1, below(means and 95% UCLs are rounded to 3 significant figures).

Table 3-1. Summary Statistics for Lead Concentration in Dust SamplesData set Number of

propertiesAverage Dust Concentrations of Lead in

parts per million (ppm)Data

distribution95% UCL

(ppm)Minimum Maximum Mean

Full 102 10 1,514 187 Lognormal 216Close proximity 48 29 1,514 218 Lognormal 277Eilers neighborhood 44 10 1,514 243 Lognormal 353< 500 feet from stack 2 76 168 122 Not tested NC< 1,000 feet from stack 19 40 589 202 Gamma 269< 1,500 feet from stack 40 29 605 188 Lognormal 251< 2,000 feet from stack 65 25 1,514 202 Lognormal 242

3.2 Soil Concentration Summary Statistics

Summary statistics for lead were developed. Statistics include the number of properties, the minimum,maximum, and mean for all properties in the data set, and the 95% upper confidence limit on the mean foreach data set. ProUCL version 5.1 was used to calculate the 95% UCLs (EPA, 2016). These statistics arepresented in Table 3-2, below (means and 95% UCLs are rounded to 3 significant figures).

Table 3-2. Summary Statistics for Lead Concentration in Soil SamplesData set Number of

propertiesAverage Soil Concentrations of Lead in

parts per million (ppm)Data

distribution95% UCL

(ppm)Minimum Maximum Mean

Full 102 47 660 303 Gamma 324Close proximity 48 71 660 358 Normal 389

Eilers neighborhood 44 47 660 340 Normal 375< 500 feet from stack 2 296 424 360 Not tested NC

< 1,000 feet from stack 19 213 627 405 Normal 453< 1,500 feet from stack 40 201 660 371 Normal 403< 2,000 feet from stack 65 71 660 319 Normal 346

3.3 Estimation of Site-Specific MSD Parameter – Average Soil Concentrations, Full Data Set

The site-specific MSD parameter was estimated using the methodology of Brattin and Griffin (2011). Thisapproach uses linear regression to estimate the parameters in the following equation:

� � � � � = � � � � � � � � × � � � + � 0

The paired data for Cdust and Csoilavg are regressed using ordinary linear regression. The slope of theregression obtained is the MSD parameter, and K0 is represented by the intercept of the regression. Theparameter K0 represents the average concentration of lead in dust that is not attributable to soil entering thehome. Note that in Brattin and Griffin, the MSD parameter is referred to as “Ksd,” the average mass fractionof soil in dust.

Ordinary linear regression was used for the statistical analysis in this section. The average dustconcentration was regressed against the area-weighted average concentration. The regression was

performed in ProUCL version 5.1 (EPA 2016), though Excel was used to generate the plot for thismemorandum. The regression is shown in Figure 3-1.

Figure 3-1. Regression of Average Dust Concentration versus Area-Weighted Average SoilConcentration for Lead

Note: Blue circles each represent one paired data point from a property. Red circles indicate outliers removed based

on statistical method described in Brattin and Griffin (2011).

In this equation, the estimated value for MSD is 0.2563, and the estimated value for K0 is 109.18. However,the presence of potential high outliers was noted, and outliers were removed from the data set using thecriteria outlined below. First, the predicted dust concentration from the initial fit to the data and the residual(the difference between predicted and measured dust concentration) were calculated for each data pair,using the following equations:

� � � � � � � = � � � � � � � � × � � � + � 0

� � � � � � � � = � � � � � � � − � � � � �

Where:Cdust-p is the predicted dust concentration (ppm)Cdust is the average dust concentration (ppm)

Similar to the approach used by Brattin and Griffin, the standard deviation of all 102 residuals was thencalculated. If the absolute value of an individual residual was outside 3 standard deviations from thepredicted dust concentrations, the pair was identified as an outlier. The procedure was repeated with the

l&JD

1400

E 1200 Cl.

a C

~ 1000

g C

~ &I)\)

8 -"" =i C GI 1'111 I! GI

~

liOO

400

200

D

0.00 • • •

@

®

@

@ @ @

@ @

••

• J ~·- -·-·· . "I- - . ~.... • .,, ... · • ..... ·~ .. , .. ·:•\. :

•• •• • • •

• .... • ... . \

•• • •

@

• •

•

y "0.2563~ + 109.lS Ri - 0.0215

• ... -... ·-·" ... - ··

... .. .... ...

• • • •

100.00 200.00 "300 00 <\00 00 :.00.00 ~00.00

Area-We ighted Ave rage Sol l Concentratlon, 0·1 Inch Deprth On lv (ppm)

700,00


remaining data set until no outliers were found, resulting in nine properties that were identified as outliersand were removed. The data for these properties are noted in Figure 3-1 with red circles around the datapoint, and the properties identified as outliers are as follows (dust concentrations follow the property code):

• PC0139, 1,145 mg/kg

• PC0143, 1,514 mg/kg

• PC0210, 725 mg/kg

• PC0260, 605 mg/kg

• PC0341, 544 mg/kg

• PC0356, 402 mg/kg

• PC1443, 473 mg/kg

• PC1552, 589 mg/kg

• PC1978, 458 mg/kg

Figure 3-2 shows the regression after the removal of the outliers.

Figure 3-2. Regression of Average Dust Concentration versus Area-Weighted Average SoilConcentration for Lead after Removal of Outliers

The intercept of the regression (27.0 after rounding) represents K0, the average concentration of lead indust that is not attributable to soil entering the home. The slope of the regression (0.36 after rounding)represents the soil-to-dust mass transfer ratio (MSD).

Following the Brattin and Griffin methodology, an alternative method of regression was also used. Thismethod is Bartlett’s method. The method requires four steps:

1. The data are sorted by soil concentration.2. The groups are divided into three separate groups of equal size, for low, medium, and high soil

concentrations.

3SO

e JOO a. .e C

~ 250

£ C .. ~ 2(10

8 ;: ~

C 1SO .. & .. ~ 100

so

0 0,00

•

...• •

y = 0.3603x + 26.968 R' = 0.3204

• •

• •

• .. • ••

\

,

• • .,. , ...... ... ••• •

•• •

• •

• • •

• • • • •

• •

• . ...... . . , .... . .. • •

•

•• • . , ••

• • ,

• •

•

• •

• • • •

• • •

• • ... • • •

•

• •

•

100,00 200.00 300,00 400.00 S00.00 600,00

Area~Welghted Average Soll Concentration, 0-1 inch Depth Only (ppm)

•

100.00


3. The average soil and dust concentration are calculated for each of the three groups.4. The slope and intercept are calculated using the following equations:

� � � =� � � � � , � − � � � � � , �

� � � � � � � � , � − � � � � � � � � , �

� 0 = � � � � � , � � � − � � � × � � � � � � � � , � � �

Where:MSD = The soil-to-dust mass transfer ratioK0 = The concentration of lead in dust not attributable to soil entering the propertiesCdust,3 = The average dust concentration for the highest soil concentration group of propertiesCdust,1 = The average dust concentration for the lowest soil concentration group of propertiesCdust,avg = The average dust concentration for all propertiesCsoil,3 = The average soil concentration for the highest soil concentration group of propertiesCsoil,1 = The average soil concentration for the lowest soil concentration group of propertiesCsoil,avg = The average soil concentration for the highest soil concentration group of properties

The values of MSD and K0 from Bartlett’s method were slightly different from a standard regressionapproach and are presented in Table 3-3. The MSD value is 0.35, and the K0 value is 30 from the Bartlett’smethod analysis.

In Table 3-3, the results of both regression approaches are compared with results for several other Region8 mining/smelting Superfund sites reported in Brattin and Griffin (2011). The MSD values for the Site arehigher than the other sites considered, while the K0 values are lower than the other sites. This suggests thatthe mass fraction of soil in dust is higher for Colorado Smelter OU1 than those other sites, while the averageconcentration of lead in dust that is not attributable to soil entering the home is lower.

The results were also compared with the default assumption of the IEUBK model, which assumes the soil-to-dust mass transfer ratio of lead in indoor dust is 0.70 (70% of the concentration of lead in dust isattributable to lead concentration in soil) (EPA 1994). The lower MSD value for Colorado Smelter OU1(0.36) relative to this IEUBK default value (0.70) suggests that the relationship between the concentrationof lead in indoor dust is more weakly correlated with the concentration of lead in outdoor dust than thedefault value of 0.7 used in the IEUBK model. In addition, Table 3-3 demonstrates that over a large numberof data sets, the observed value of MSD is substantially lower than the IEUBK model. The differences fromthe IEUBK model default value, which was derived from a nation-wide dataset, are observed at multiplesites in Region 8. The observation that Region 8 sites generally deviate from the IEUBK model defaultsupports the use of site-specific MSD values at the Colorado Smelter site.


Table 3-3. Comparison of Colorado Smelter Data Set with other Datasets Reported in Brattin and Griffin (2011)

Site LocationNumberof datapairs

Numberof datapairs

fitted a

Linear regression parameters b Bartlett’s method parameters b

Slope (MSD) Intercept (K0) R2 Slope (MSD) Intercept (K0)

Colorado Smelter Pueblo, CO 102 93 c 0.36 (0.25-0.47) 27.0 (-8.4-62) 0.32 0.35 (not calculated) 30 (not calculated)Butte-Silverbow Walkerville, MT 196 192 0.20 (0.13-0.26) 280 (197–363) 0.14 0.27 (0.17–0.39) 206 (96–305)California Gulch Leadville, CO 200 196 0.14 (0.11–0.17) 565 (491–639) 0.35 0.23 (0.18–0.29) 434 (340–511)

East Helena East Helena, MT 30 29 0.25 (0.12–0.39) 181 (74–288) 0.35 0.27 (0.06–0.50) 173 (34–299)Eureka Mills Eureka, UT 55 54 0.14 (0.07–0.20) 467 (329–606) 0.23 0.15 (0.07–0.23) 450 (316–578)

Midvale Slag OU 1 Midvale, UT 40 40 0.04 (-0.13–0.21) 289 (210–368) 0.01 -0.21 (-0.74–0.07) 384 (277–580)Midvale Slag OU2 Midvale, UT 90 88 0.09 (-0.01–0.20) 139 (123–156) 0.03 0.04 (-0.14–0.20) 146 (128–165)

Murray Smelter Murray, UT 22 21 0.19 (0.03–0.36) 174 (39–309) 0.24 0.23 (0.04–0.45) 150 (2–277)Sandy Smelter Sandy, UT 165 161 0.12 (0.09–0.14) 122 (93–151) 0.37 0.15 (0.11–0.19) 98 (61–132)VB170 OU1 Denver, CO 74 72 0.34 (0.17–0.51) 150 (91–210) 0.18 0.35 (0.15–0.55) 146 (86–206)

Notes:


b Values in parentheses are the 95% confidence intervals around the mean. Confidence intervals have not been calculated for Bartlett’s method for the Colorado Smelter data, butmay be calculated later.

c Outliers were excluded if the residual for the data pair (the absolute value of [predicted dust concentration – measured dust concentration]) was outside 3 times the standarddeviation of the residuals for the full data set. Additional outliers appeared after the initial outliers were excluded, resulting in 9 total outliers.


3.4 Estimation of Site-Specific MSD Parameter – Maximum Soil Concentrations, Full Data Set

The previous section showed an analysis of the MSD parameter using the average soil concentration. Inaddition to that analysis, an analysis of the Msd parameter using the maximum soil concentration wasperformed.

Figure 3-3. Regression of Average Dust Concentration versus Maximum Soil Concentration forLead

1600

1'00

e uoo ... .!!, C 0 ., I! ~

C

1000

., .., C 800

8 t: ~ Q 600 ., .. I! ., > .. ""'

200

0 0

• ••

•

•

• • • ••

• • • •

• • • • •

• • ..... · ,,,, , . , ... - m ,, . .. - •! •••-

.. :,.~~;···1::~:-.·~- ... : .. ' . . ' .. . . . .. •

V: 0.1177x + 140.07 R' = 0.0093

•

200 4CO 600 800 lOXI 1200

Maximum Soil Concentration, 0·1 Inch Depth Only, Drip Zones Excluded {ppm)


Figure 3-4. Regression of Average Dust Concentration versus Maximum Soil Concentration forLead after Removal of Outliers

The MSD determined using the maximum soil concentration is 0.21, lower than that determined using theaverage soil concentration. However, the correlations between the average dust concentration and themaximum soil concentration were not as strong as those noted between the average dust concentrationand the average soil concentration discussed in Section 3.3. This result is not surprising since it is unlikelythat areas of soil at or near the maximum concentration would contribute to indoor dust concentrationmore strongly than other lower concentration areas.

Because the average concentration is believed to be a better estimate of the concentration of sourcematerial for indoor dust, and because the correlations were better for that measure, the result of 0.36developed in Section 3.3 is the value that is recommended for use as the site-specific MSD.

3.5 Estimation of Site-Specific MSD Parameter – Average Soil Concentrations, Smaller Subsets

In addition to performing the regressions for the full dataset, 5 subsets of data discussed earlier wereinvestigated to see if they showed increased correlation of average dust concentration with area-weightedaverage soil concentration. The 500-foot radius data set was not analyzed using regression because onlytwo properties were this close to the former smelter stack. The other five data sets were tested using linearregression of average dust concentration against area-weighted average soil concentration for that subsetof properties. The maximum soil concentration was not investigated for the subsets because the earlierregressions for the full dataset showed better correlation with the area-weighted average soilconcentration. Regressions for these subsets are shown in Figures 3-5 through 3-9, below.

350

e 300 a. .e C

~ 250 I! -C .. ~ 200 8 -~ ~ 0 150 .. .. I! .. ~ 100

50

0 0

• •

•

• • • •

• • • • ••

• • • • • • • • , I • • •. •

• • ••••• • • • • .. • • •• .. ' • •

• • •• • • •

• •

• •

• • •

• . , ./ / • • • •

• •

•

•

• •

• /

•

•

•

•

~-/

_,/

•

y = 0.2146x + 50.227 R' = 0.2387

..... ••·

I

200 400 600 800 1000 1200

Maximum Soll Concentration, 0·1 Inch Depth Only, Drip Zones E,cduded {ppm}


Figure 3-5. Regression of Average Dust Concentration versus Area-Weighted Average SoilConcentration for Lead, Properties in Close Proximity Area

Figure 3-6. Regression of Average Dust Concentration versus Area-Weighted Average SoilConcentration for Lead, Properties in Eilers Neighborhood

450

400

_ ,so E a. a. -; 300 0 ., I! C 2so .. u C

~ 200 ~

~ Q

:0 150 I! .. ~

100

50

0 0.00

450

400

_ ,so E a. a. -; 300 0

~ C 2so .. u C

8 200 t: ~

Q

:0 150 I! .. ~

100

50

0 0.00

•

•

y = 0.4007x + 12.18 R' = 0.3071

• • •

• • ····• ·····

• • • ··• •

•

•

•

.... ... ·: • •

• • • • •

,

•

•

•

/ .. •

•

•

• •

•

• •

•

•

100.00 200.00 300.00 400.00 500.00 600.00

Area-Weighted Average Soil Concentration, 0-1 inch Depth Only (ppm)

y = 0.4308x -1.8131 R' = 0.3951

• • •

• ,,, , ...... .

•• •

•

• • .. • ············ • • ••

•

•

...-······· ••

•

•

•

•

•

.... ··················· • •

•

• •

•

•

, ... -········

•

100.00 200.00 300.00 400.00 500.00 600.00

Area-Weighted Average Soil Conc.entration, 0-1 inc:h Depth Only (ppm)

•

700.00

•

700.00

Figure 3-7. Regression of Average Dust Concentration versus Area-Weighted Average SoilConcentration for Lead, Properties within 1,000 feet of Stack


400

350

f lOO a. .e C

.g 2$0

£ C .. ~ 200

8 -~ ~ C 150 .. i!' .. ~ 100

t: ~

so

0 0.00

400

350

Q 150 .. i!' .. ~ 100

so

0 0.00

y = 0.6078x • 64.333 R' = 0.598

•

•

•

.. ,···<

•. · ..• ,,.~.

• •

•

• • •

,,..·· • •

/ .. , .. ,..··

• •

•

100.00 200.00 300.00 400.00 500.00 600.00

Area-Weighted Average Soil Concentration, 0-1 inch Depth Only (ppm)

y = 0.3751x + 8.6957 R' = 0.2722

• •• • •

• ,,•' • •

• • •

• •

/ • •

• ,

• • •

•

• •

•.... •·············· . • • • • •

• •

•

100.00 200.00 300.00 400.00 500.00 600.00

Area-Weighted Average Soil Concentration, 0-1 inc:h Depth Only (ppm)

700.00

•

700.00



Comparisons of regressions for the full dataset with the regressions for the data subsets are shown inTable 3-4. Bartlett’s method was not used for these data sets because the regression parameters for thesubsets were similar to the full data set and the subsets and because the Bartlett’s method parameters weresimilar to the regular regression parameters for the full data set. Regression was only performed for Cdust

vs Csoilavg. The area-weighted average soil concentration is believed to be the best estimate of soilconcentration to match the methodology described in Brattin and Griffin (2011).

Table 3-4. Comparison of Full Colorado Smelter OU 1 Lead Dataset with Subsets of the Data

Data set descriptionNumberof datapairs

Number ofdata pairs

fitted a

Linear regression parameters b

Slope (MSD) Intercept (K0) R2

Full Colorado Smelter OU1 dataset 102 93 0.36 (0.25-0.47) 27.0 (-8.4-62) 0.32Priority area 48 43 0.40 (0.21-0.59) 12.2 (-60.5-84.9) 0.31

Eilers neighborhood 44 38 0.43 (0.25-0.61) -1.8 (-69.0-65.4) 0.40Within 1,000 feet of former smelter stack 19 18 0.61 (0.34-0.87) -64.3 (-175-46.8) 0.60Within 1,500 feet of former smelter stack 40 36 0.38 (0.16-0.59) 8.7 (-74.9-92.3) 0.27Within 2,000 feet of former smelter stack 65 59 0.38 (0.24-0.53) 16.8 (-33.3-66.8) 0.33


b Values in parentheses are the 95% confidence intervals around the mean.

c Outliers were excluded if the residual for the data pair (the absolute value of [predicted dust concentration – measured dustconcentration]) was outside 3 times the standard deviation of the residuals for the full data set. Additional outliers appeared afterthe initial outliers were excluded, resulting in 9 total outliers for the full data set, and fewer in each of the subsets as noted in thetable.

450

400

50

0

0.00

•

y - 0.3847x + 16.76 R2 = 0.3308

... •

• •

•• \

•

• • •

• • .. •

•

• •

• • • •• ..... y;

. ..• •

••• •• •

~ ...•. • •

,

•

• • •

• •

• ··' ,.··~·. • • •

•

• •

•

100.00 200..00 300.00 400.00 500.00 600.00

A.rea-We,lghted Average Soll Conc:entratlon, 0-1 inrn Depth Only (ppm)

•

700.00


The results for the subsets compare well with those of the full data set. The confidence intervals for boththe Msd parameter and the K0 parameter for each subset bracket the value for the full data set. Althoughthe correlation is higher for some of the smaller subsets of data, the confidence intervals are wide forthose subsets. The full data set is believed to be the most representative of the site.

3.6 Spatial Analysis of Dust Concentration and Soil Concentration

Two ways of spatially analyzing the data were explored. First, the concentrations of lead in dust and leadin soil were plotted against distance from the former smelter stack for the 102 homes with dust data(Figures 3-10 and 3-11).

Figure 3-10. Regression of Area-Weighted Average Soil Concentration versus Distance from theFormer Smelter Stack

Area-Weighted Average Soil Concentration, 0-1 inch Depth Only {ppm)

700

• •

600 • • •

• 500 • • • • • •

• • • • 400 • • • •

• .. • • • • • • • •

• .... • • •

300 • •• • .. - • • • • • '· • • 11, . • • • • • •

• • • • • • • • • • •• 200 .. • • • • .. -. • • V = ·0,0492:x -t 393.46 ... R' = 0,1¢49

\ • • 100 • • •

0 0 5-00 1000 1500 2000 2500 3000 35-00 4000

Distance from Former Smelter Stack {feet)


Figure 3-11. Regression of Average Dust Concentration versus Distance from the Former SmelterStack

Figure 3-10 shows some evidence of weak correlation between the distance from the former smelter stackand the area-weighted average soil concentration in the 0-1 inch depth range. Figure 3-11 shows verylittle evidence of correlation between dust concentration and the distance from the former stack.

A regression was also performed for dust concentrations with the outliers identified in Table 3-2 removed.This regression is shown in Figure 3-12.

1600

1400

1200

1000

800

600

400

200

0 0

•• •

500

Average Dust Concentration (ppm)

•

•• • •

•

• •

•

•

. ......... •· • I• • •• . . . ..

1000 1500

•

•

•

•

. . . \ . .. . . . .. .. .. ,· ,. . . , . . ... • • • •

2000 2500

• •

I ••• -' .

3000

Distance from Former Smelter Stack (feet)

V: -0.0212K + 225.91 Rt= 0.0064

•

• •

• • • •

3500 4000

Figure 3-12. Regression of Average Dust Concentration versus Distance from the Former SmelterStack with Outliers Removed

Second, the residuals of the regression of the soil and dust data were plotted visually using GIS. Figure 3-13 below shows the residuals, and uses color to show the sign and magnitude of the residual to helpidentify patterns in the data.

No clear patterns were observed in the residuals.

3.7 Dust Concentration versus Other Numerical Measures – Linear Regression

OLS was used as the statistical test for these data types. For the regressions, only the numerical averagedust concentration was used. Figures 3-14 through 3-18 show the regressions.

None of the regressions showed significant correlations between the dust concentration and the numericalvariables recorded on the field forms, as shown on the following figures. The variable with the closest p-value to statistical significance was comparisons of lead concentrations for homes with a shoes/off policyin the home compared with homes without that policy (as reported by the resident taking the survey). Thatp-value was 0.0874, compared with a criteria for significance of < 0.05.

Average Dust Concentration (ppm) 400

y: 4 0.0082x+ 1S0.61

• R, : 0.007 3SO •

• •

300 • •

• • 2SO • • • • •

• • 200

• • • • • • • • • • • ,so • ... • • • • • • • • ,

• •• • • • • • •• • • • • 100 • • • • • • • • •• •

• • • • • • • • • • so • • • • • • • • • • • •

• 0

0 SOO 1000 ISOO 2000 2500 3000 3SOO 4000

Distance from Former Smelter Stack (feet)

Figure 3-13. Colorado Smelter Properties, Lead Dust Data Residuals

.......... , ,, I -- .. -

Paih: K:\GIS Litra~\Cclorado SmelterlMaps'IFigure 3-12 Dust_Resieklas_20 160S22_11.x 17.mxd

I

I I

.. ..

Figure 3-13 Colorado Smelter Properties Lead Dust Data Residuals

Legend

- >130

- 100 - 130

- 70 - 100

- 40 - 70

- 10-40

- -10- 10

- -40 - -10

- -70 - -40 D -100- -10

D -130 --1 00

D < -1 30

~:: ~ Preliminary Study Area

c::J Smelter S~e Boundary

:00 1,000Feet

t,lAO 1983 Sta1eP\ane Colorado Sol.llh F1PS 0503 Feet trn.,ge~e E.m d>tedAui,,st2013

~~ \&}

Figure 3-14. Regression of Average Dust Concentration versus Number of Residents:

Figure 3-15. Regression of Average Dust Concentration versus Number of Child Residents:

1600

• 1400

y = -8.0486x + 207.16 E 1200 R' = 0.0036 a. • .e C 0 1000 ., J; C .. u 800 C

8 • t; = 0 600 • • .. .. • I! • .. > 400 • <(

• • I • • • • • • • • • • • 200 r I .• . •

I • . .... • I •

• • • • • n • 0 2 3 4 s 6 ' 8

Number of Residents in Home

1600

• 1400

e 1200 y: -11.0Slx + 192.68 a. • R': 0.003 .e C

.g 1000 J; C .. u 800 C

8 • -~ = 0 600 • .. .. • I!! .. • ~ 400 •

• • I • 200

I I •

I I .. • • . .. • • • • • • 0 • •

0 1 2 3 4 s 6

Number of Child Residents in Home


Figure 3-16. Regression of Average Dust Concentration versus Number of Pets:

Figure 3-17. Regression of Average Dust Concentration versus Years in Home:

1600

• 1400

e1200 0. .!!, • C

.g 1000 ; C .. V 800 C 0 u • t: ~

0 600 • .. .. I! .. ~ 400

200

0

1600

1400

e 1200 0. .!!, C

~ 1000 I!! ~ C .. 0

800 C

8 t: ~

0 600 .. .. I! .. ~ 400

200

0

• • •

I • • •

I I .. , I • •

0 2

• • • •

• • • • • ••• .. ·,·,·~= •• •• •• • •••

••• ;··: •• a 0 10

•

• • • .• I I • • • • • • I

•

•

•

•

•

• • ...... •. • • •• I •• ••

• 20

•

• • • • • • • • 6 8

Number of Indoor Pets in Home

•

• . .

• • • • • • •

•• I • • •

30 40 so Number of Years Resident In Home

10

•

•

••

y = -5.8164x + 198.54 RZ = 0 00'.:17

•

12 14

y = 2.1437x + 148.68 R2 = 0.0351

• •

60 70 80


Figure 3-18. Regression of Average Dust Concentration versus Carpet Percentage:

3.8 Dust Concentration versus Other Categorical Measures – ANOVA

Analysis of variance (ANOVA) was used to evaluate these data types. For the ANOVAs, only thenumerical average dust concentration was used. Only the full data set was analyzed by ANOVA for thesedata types.

None of the ANOVAs showed significant differences between categorical data types surveyed on thefield forms, as shown in Figures 3-19 through 3-25.

1600

1400

e 1200 Q.

.e C

~ 1000 I! ~

C .. " C

8 800

:;; ~

0 600 • .. .. I! .. ~ 400

•

200 • •

0 i 0% 20% 3-0% 40% 50%

y = ·43. 798x + 217.3S R' = 0.0037

• • • • •

60% 70%

Percentage of Sampled Area that is Carpeted

•

•

• •

• • • •

• • i . ·1 •••• • • •

80% 90% 100%

Figure 3-19. ProUCL ANOVA Results for Average Dust Concentration versus Pets:

Figure 3-20. ProUCL ANOVA Results for Average Dust Concentration versus Construction Date:

2 3 4

5 6 7

8 9 10

11

12

13

A B C D E F Classical Oneway ANOVA

Date/Ti me of Computation 6/8/2016111718AM

From File ProUCL_lnput_ Categorical.xis

Full Precision OFF

Avg_Dust

Group Obs Mean so pets 63 165.1 131.6

no pets 39 221.6 294.1

Grand Statistics (All data) 102 186.7 209.6

14 Classical OneWay Analysis of Variance Table

G

Variance

17325

86467

43928

15 Source SS DOF MS V.R.(F Ste P-Value

16 Between Groups 76794 76794 1.761 0.187

1 7 Within Groups 4359911 1 00 43599

18 Total 4436705 1 01

19 20 Pooled Standard Deviation 208.8

21 R-Sq 0.0173

22

H J K

23 Note: A p-value <= 0.05 (or some other selected leveQ suggests that there are significant differences in

24 mean/median characteristics of the various groups at 0.05 or other selected level of significance

L

25 A p-value > 0.05 (or other selected leveQ suggests that mean/median characteristics of the various groups are comparable.

A B C D E F G 1 Classical Oneway ANOVA

2 Date/Time of Computation 6/8/2016 12:10:58 PM

3 4

5

From File ProUCL_lnput_Categorical_a.xls

Full Precision OFF

6 7 8 9 10

11 12

13

Avg_Dust

Group Obs pre-1921 56

post-1921 22

Grand Statistics (All data) 78

Mean so 172.5 132.3 144 231

164.4 165


Variance

17498

53363

27218

15 Source SS OOF MS V.R.(F Ste P-Value

16 Between Groups 12785 12785 0.466 0.497

1 7 Within Groups 2083008 76 27 408

18 Total 2095793 77


21 R-Sq 0.0061

22

H K



L

25 A p-value > 0.05 (or other selected leveQ suggests that mean/median characteristics of the various groups are comparable.

Figure 3-21. ProUCL ANOVA Results for Average Dust Concentration versus Owner/Renter:

Figure 3-22. ProUCL ANOVA Results for Average Dust Concentration versus Soil Coverage:

1

2 3 4

5 6 7

8 9 10

11 12

13

A B C D E F Classical Onaway />NOVA

Date/Time of Computation 6/8/2016 11 :57 49 AM From File ProUCL_lnput_ Categorical.xis

Full Precision OFF

Avg_Dust

Group Obs Mean so renter 14 145.9 104.9

owner 88 193.2 221.5 Grand Statistics (All data) 102 186.7 209.6

14 Cla ssical One-Wey Analysis of Voriance Table

G

Variance

11005

49042 43928

15 Source SS OOF MS V.R.(F Ste P-Value

16 Between Groups 27007 1 27007 0.61 2 0.436 17 Within Groups 4409698 100 44097

18 Total 4436705 101

19 20 Pooled Standard Deviation 21 0

21 R-Sq 0.0060~

22

H J K


L

24 mean/median characteristics of the vorious groups at 0.05 or other selected level of significance I 25 A p-value > 0.05 (or other sel ected leveQ suggests that mean/median characteristics of the vorious groups are comparable~

2 3 4

5 6 7 8 9 10 11

12 13 14

A B C D E F Classical Onaway />NOVA

Date/Time of Computation 6/8/2016 11 :59 21 AM From File ProUCL_lnput_ Categorical.xis

Full Precision OFF

Avg_Oust

Group Obs Mean so bare 74 178.2 176.6

lawn 8 278.4 500.1 sparse 20 181.6 132.8


15 Classical One-Wey Analysis of Voriance Table

G

Variance 31199

250148 17630 43928

16 Source SS OOF MS V.R.(F Ste P-Value 17 Between Groups 73172 2 36586 0.83 0.439

18 19 20

Within Groups 4363533 99 Total 4436705 101

21 Pooled Standard Deviation 209.9 22 R-Sq 0.0165

23

44076

H J K

24 Note: A p-value <= 0.05 (or some other selected leveQ suggests that there are significant differences in 25 mean/median characteristics of the vorious groups at 0.05 or other selected level of significance

L

26 A -value > 0.05 (or other selected leveQ suggests that mean/median characteristics of the vorious groups are comparable.

Figure 3-23. ProUCL ANOVA Results for Average Dust Concentration versus Smoking:

Figure 3-24. ProUCL ANOVA Results for Average Dust Concentration versus Fireplace:

2 3 4 5 6

7 8 9 10

11

12

13

14

A B C D E F Classical Oneway /><NOVA

Date/Time of Computation 6/8/2016 12:00 35 PM From File ProUCL_lnput_Categorical.xls

Full Precision OFF

Avg_Dust

Group Obs Mean SD nonsmoker 72 187.4 238.5

indoor 23 176.5 122.4

outdoor 7 212.8 1011 Grand Statistics (All data) 102 186.7 209.6

15 Classical One-Way Analysis of V ariance T able

G

Variance

56884 14973

10230 43928

16 Source SS DOF MS V R.(F Ste P-Value

17 Between Groups 7181 2 3591 0.0803 0.923

18 Within Groups 4429524 99 44743

19 Total 4436705 1 01

20 21 Pooled Standard Deviation 211 .5

22 R-Sq 0.0016,

23

H J K L



26 A p-value > 0.05 (or other selected leveQ suggests that mean/median characteristics of the various groups are comparable.I

2 3 4

5

6 7

8 9 10

11

12

13

A B C D E F Classical Onaway PNOVA

Date/Time of Computation 6/8/2016 12:07:20 PM

From File ProUCL_lnput_ Categorical.xis

Full Precision OFF

Avg_D ust

Group Obs Mean SD

no fireplace 90 179.2 171.3

fireplace 10 261.8 442.5


14 Classical One-Way Analysis of Variance Table

G

Variance

29329

195785

44785

15 Source SS DOF MS V.R(F Ste P-Value

16 Between Groups 61367 1 61367 1.375 0.244

17 Within Groups 4372309 98 44615

18 Tote.I 4433676 99

19

20

21

22

Pooled Ste.ode.rd Deviation

R-Sq

211.2

0.0138

H J K

23 Note: A p-va.lue <• 0 .05 (or some other selected leveQ suggests that there are significarlt differences in


L

25 A p-va.lue > 0.0 5 (or other selected leveQ suggests that mean/medien chare.cteristics of the various groups are comparable.

Figure 3-25. ProUCL ANOVA Results for Average Dust Concentration versus Shoes-Off Policy:

3.9 Elemental Comparison – Regressions

Regressions for arsenic, copper, and zinc concentration in soil and dust against the corresponding leadconcentration were prepared to determine whether elemental ratio analysis might provide usefulinformation. The arsenic, copper, and zinc concentrations were calculated in the same way as describedearlier for lead (i.e., average concentrations for dust, and area-weighted average concentrations for the 0to 1 inch depth range for soil). Figures 3-26 through 3-28 show the data and regressions for each elementagainst lead for average dust concentration, while Figures 3-29 through 3-31 show the data andregressions for each element against lead for area-weighted average soil concentration.

As shown in the figures, none of the data showed strong correlations for the dust data, althoughcorrelations between copper and lead, and zinc and lead, were reasonably strong for the soil data. None ofthe correlations were significant enough to indicate that elemental ratios might be useful in identifyingtrends in the data, however.

A B C D E F G 1 Classical Oneway I-NOVA

2 Date/Time of Computation 6/8/2016 12:03:06 PM

3 4

5 6

8

9 10

11

12

13

From File ProUCL_lnput_Categorical.xls

Full Precision OFF

Avg_Dust

Group Obs Mean SD Variance

shoes on 89 200.3 220.2 48468

shoes off 13 93.88 59.95 3594

Grand Statistics (All data) 1 02 186. 7 209.6 43928


15 Source SS DOF MS V.R.(F Ste P-Value

16 Between Groups 128403 128403 2.98 0.087 4

1 7 Within Groups 4308302 1 00 43083

18 Total 4436705 1 01


21 R-Sq 0.0289

22

H J K

23 Note: A p-value <= 0.05 (or some other seleded leveQ suggests that there are significant differences in

24 mean/median characteristics of the various groups at 0.05 or other seleded level of significance

L

25 A p-value > 0.05 (or other selected leveQ suggests that mean/median charaderis1ics of the various groups are comparable.

26


Figure 3-26. Arsenic-Lead Regression for Average Dust Concentrations

Figure 3-27. Copper-Lead Regression for Average Dust Concentrations

40

35 •

30

25

20

• 15 • •

• • • • 10 • •

s

. .: .. . . . =t·: ... . .A-f.i. .• . . ,,. .. . -.

• .. •

0

0 200 400

3,500

3,000 •

2,500

2,000

1,500

1,000

• •

500 • • :-·

0 ~--

~ .• I•• i• • ••

0 200 400

•

• •

•

600 800 1.000

•

•• •

600 800 1,000

y = 0,004 b + S.2949 R2 -=-0.0437 ·- .

• •

1,200 1,400

•

y: 0.3753x + 95.596 . R' ~ 0.0587

1,200 1,400

•

1,600

1,600


Figure 3-28. Zinc-Lead Regression for Average Dust Concentrations

Figure 3-29. Arsenic-Lead Regression for Area-Weighted Average Soil Concentrations

9,000

8,000

• 7,000

6.000 •

5,000

4,000

3,000

2,000 • -~.

1,000

0

. -. . • .. ~:·

• • • • . • • • • • • • • •

0 200 400 600 800 1,000

300

250

zoo

150 •

100

•

50 • • •

• • •

• • • • . . ....... ~ •• ..,,;...,, :.v '· .. _ •• ,. • ..

0 0 100 200 300 400

•

•

y: L2226x + 673.39 . R1.'° 0.01'29

•

1,200 1,400

•

•

V :;; 0.1328x · 15.82 R1 ~ -0,2086 .

• • • • • • •

500 600

1,600

700


Figure 3-30. Copper-Lead Regression for Area-Weighted Average Soil Concentrations

Figure 3-31. Zinc-Lead Regression for Area-Weighted Average Soil Concentrations

2S0

200

,so

100

•

so • ,·

•

0 0 100

1,600

1,400

1,200

1,000

800

600

400

···~ 200

• • •

0 0 100

•

• •

• · ... -. • " . • ••• .. . ,, ... ' ...•.. : . , .•.• . . ~ _,._. ....

•

200

•

• •

• 300

•

• \ .

• • •

' • • • .• • •• • '\ • •

• • • •

400

•

• • •

• • • • • •. • • • • . . . ,,,•' ,_ .... . ,,, ... ~ . • • • •

• • • :=········ '~ ) . •

200

•... . . . ...... . , •

300

• • • • • •

400

• y=0,1S59:x+ 21298

•

..

500

•

• •

•

S00

R7 - 0 ,48,3 ~

• • • •

600

• v= 1.S74b+ 74.0 13

Ftl = 0.6484

•

• • •

600

•

700

•

700


4.0 Summary

Dust and soil concentrations for lead were analyzed statistically for a Colorado Smelter dataset consistingof 102 homes that had paired soil and dust data. Results were compared to other Region 8 sites, and thecomparison indicated that the relationship between the concentration of lead in indoor dust is more weaklycorrelated with the concentration of lead in outdoor dust than the default value of 0.7 used in the IEUBKmodel. See Table 3-3 for a summary of the results and a comparison to other Region 8 sites.

Comparisons for five subsets of the data were also made, and these indicated that the correlations forspecific geographically selected subsets were not appreciably different from those for the full data set.Additional spatial analysis did not show any clear correlation between the distance from the stack and theresiduals of the regression, or any clear spatial correlation of the residuals.

Several regressions of lead concentration in dust against numerical variables were conducted. This datawas collected on questionnaires compiled with residents during dust sampling. None of these regressionsshowed strong correlation between lead concentration in dust and the variable investigated.

Similarly, several ANOVAs of lead concentration against categorical variables were conducted. This datawas also collected on the residential questionnaires compiled during dust sampling. None of theANOVAs showed statistically significant correlation between lead concentration and the variableinvestigated.

Finally, preliminary investigation of other metals was conducted using regressions of arsenic, copper, andzinc concentration against lead concentration for both soil and dust. None of the regressions indicated astrong correlation between the metals for dust, and no further analysis of elemental ratios was conducted asa result.

Although the correlation between dust and soil concentrations for lead at the Colorado Smelter site isobjectively low (R2=0.32), this is expected since there are multiple causes of lead in dust aside from track-in from outdoor soil. In comparisons of the correlation coefficient and the MSD value against other Region8 sites with similar datasets, the correlation is among the strongest observed. Both the relatively strongcorrelation for the type of data set and the consistent observation of lower MSD values than the IEUBKdefault value support the use of a site-specific MSD for the Colorado Smelter site.

5.0 References

Brattin, B. and Griffin, S., 2011. Evaluation of the Contribution of Lead in Soil to Lead in Dust at

Superfund Sites. Human and Ecological Risk Assessment, vol. 17, no. 1, pp. 236-244.

United States Environmental Protection Agency (EPA), 1994. Guidance Manual for the IEUBK

Model for Lead in Children. EPA PB93-962510, OSWER #9285.7-15-1. Office of

Emergency and Remedial Response. February.

EPA, 2016. ProUCL version 5.1. Statistical Software for Environmental Applications for Data Sets

with and without Nondetect Observations.

Colorado Smelter OU1 Technical Memorandum,Site-Specific Soil-to-Dust Mass Transfer Ratio (MSD) CalculationRevision Date 6/01/2017

Appendix A

Dust Concentration Data

Appendix A. Dust Concentration Data (all concentrations in ppm)

Property

Code

Sample

Number

PC0049 D0049-B 9.8 3.8 J 127 0.28 U 2.1 24.7 2.9 299

PC0049 D0049-D 4.8 5.3 J 431 0.42 U 1.8 28.1 J- 4.1 122

PC0049 D0049-D-DUP 5.7 6 J 442 0.37 U 2.1 73.1 J+ 3.7 111

PC0049 D0049-L 3.9 4.6 J 161 0.35 U 1.6 31.2 J 3.3 J 70.3 J

PC0053 D0053-G 11.5 J 3.9 197 0.31 J 3 24.6 4.6 132

PC0053 D0053-K 8 J 2.9 190 0.35 J 2.5 22.6 11.2 1490

PC0053 D0053-L 11.1 J 5.3 190 0.4 3.6 32.1 4.7 155

PC0057 D0057-B 3.9 8.6 314 0.52 3.2 35.2 J 5.7 96.8

PC0057 D0057-K 4.3 J 7.3 293 0.65 3.4 35.6 7.1 93.9

PC0057 D0057-L 4.6 J 8.9 350 0.59 4.7 34.6 5.9 105

PC0132 D0132-B 4 8.3 202 0.35 J 3 J- 65.7 5.7 139 J-

PC0132 D0132-L 4 J 7.3 180 0.33 UJ 3 53.3 5.9 108

PC0133 D0133-C 4.3 3.2 J 169 0.22 U 1.3 J 52.4 3.4 172 J-

PC0139 D0139-B 14.2 5.5 392 0.29 U 2.7 147 5.7 108

PC0139 D0139-C 14.8 3.8 287 0.24 U 1.9 88.8 4.1 135

PC0143 D0143-B 4.2 5.2 149 0.34 UJ 6.5 47.5 J- 5.4 682 J

PC0143 D0143-L 3.5 7 174 0.43 5.7 46.9 J- 4.7 1680

PC0152 D0152-C 4 5.8 132 0.38 J 1.9 42.7 5.2 336

PC0153 D0153-A 5.2 14 210 1.1 4 87.5 6.8 90

PC0153 D0153-LL 5.6 6.2 171 0.45 3 69.7 6 299

PC0153 D0153-UL 4.9 5.8 131 0.37 J 3.2 39.8 7.1 161

PC0164 D0164-C 11.2 2.8 71.6 0.13 U 0.52 13 2.1 90.9

PC0165 D0165-B 10.9 5.3 166 0.38 U 1.6 31 4.1 120

PC0165 D0165-E 6.4 3.9 102 0.27 U 0.67 13.5 2.6 83.4

PC0165 D0165-L 12.6 4.2 130 0.3 U 1.2 21.7 3.1 227

PC0165 D0165-M 8.5 4.6 133 0.38 U 1.5 23.5 3.9 77.2

PC0201 D0201-A 5.6 6.2 309 0.57 2.4 99.3 5.7 115

PC0201 D0201-C 1.3 U 0.93 J 79.1 2.3 U 1.2 J 26.5 0.89 J 40.3

PC0210 D0210-C 11.1 10.4 259 0.51 8.7 67 J- 5.7 199

PC0210 D0210-L 27 6.4 179 0.36 5.4 50.6 J- 4.4 113

PC0219 D0219-B 6.8 J 3.2 148 0.19 UJ 1.6 37.6 2.7 86.6

PC0219 D0219-E 4.7 J 5 179 0.32 UJ 1.7 52.6 3.4 174

PC0219 D0219-L 7.9 J 3.3 172 0.2 UJ 2.5 44.9 2.5 91.9

PC0221 D0221-C 5.2 J 5 159 0.29 UJ 2 36.7 2.6 180

PC0249 D0249-A 4.2 J- 5.9 J- 206 J- 0.26 UJ- 6.2 J- 62.4 J- 3.8 J- 245 J-

PC0249 D0249-B 1.5 2.8 68.5 0.12 U 2.1 17.5 1.8 101

PC0249 D0249-D 2 3.4 103 0.29 U 3.3 22.4 1.9 64.6

PC0249 D0249-L 2.8 7.5 181 0.37 U 3.4 47.6 5 143

PC0255 D0255-C 3 7.4 192 0.61 1.9 42.4 5.1 157

PC0260 D0260-B 4.4 J 13.1 533 0.58 7.4 82.6 8.9 517

PC0260 D0260-D 4 J 18 712 0.65 8 119 9.2 1280

Antimony Arsenic Barium Beryllium Cadmium Chromium Cobalt Copper

Colorado Smelter OU1 Technical Memorandum

Site-Specific Soil-to-Dust Mass Transfer Ratio (MSD) Calculation


Property

Code

Sample

Number

PC0049 D0049-B 78.2 261 17.3 5 UJ 2.3 0.11 U 11.3 505

PC0049 D0049-D 97.5 403 J- 28.9 4.8 UJ 1.1 0.12 U 15.6 498

PC0049 D0049-D-DUP 102 652 J+ 23.4 4.6 UJ 1 0.11 U 17.3 507

PC0049 D0049-L 85.9 403 20.4 J 5.1 UJ 0.89 0.1 U 15.4 J 355 J

PC0053 D0053-G 183 424 27.2 1.4 U 1.4 J 0.09 U 13.8 1230

PC0053 D0053-K 169 268 21 0.85 U 0.76 J 0.98 U 12.5 2000

PC0053 D0053-L 227 414 32.9 1.1 U 0.9 J 0.12 U 18.2 1200

PC0057 D0057-B 331 548 20.8 1.6 U 1.2 0.15 U 21.1 951

PC0057 D0057-K 255 468 23.3 1.6 UJ 0.52 J 0.18 UJ 19.2 1090

PC0057 D0057-L 343 501 23.6 1.7 U 1.2 J 0.22 UJ 22.1 977

PC0132 D0132-B 115 J 614 33.9 0.95 UJ 0.76 0.079 UJ 16.6 791 J

PC0132 D0132-L 127 J 584 26.5 0.9 UJ 0.6 0.058 UJ 16.9 799

PC0133 D0133-C 35.1 314 26.9 2.1 4.1 0.062 U 12.4 589 J-

PC0139 D0139-B 1160 859 55.8 2.5 U 0.58 0.065 U 23.1 1640

PC0139 D0139-C 1130 622 47.5 2.4 U 0.46 U 0.062 U 14.7 1900

PC0143 D0143-B 2060 523 54.2 1.1 UJ 4.3 0.11 UJ 17.2 3970 J-

PC0143 D0143-L 968 644 43.1 0.97 UJ 0.85 0.11 UJ 17.5 1850 J-

PC0152 D0152-C 146 436 0.18 44.1 1.9 UJ 0.7 0.14 J 19 722

PC0153 D0153-A 704 1010 0.75 18.9 3.7 UJ 1.3 0.2 J 29.9 1380

PC0153 D0153-LL 115 658 0.34 36.3 2 UJ 1.7 0.15 J 21.8 1410

PC0153 D0153-UL 186 399 0.68 24.8 1.9 UJ 1.5 0.092 J 14.2 2170

PC0164 D0164-C 25.1 151 0.042 U 23.7 2.3 UJ 0.41 U 0.45 U 8.2 364

PC0165 D0165-B 59.2 356 23.9 4.8 U 1 0.13 U 18.8 816

PC0165 D0165-E 29 241 10.4 0.84 J 0.27 U 0.077 U 16.5 241

PC0165 D0165-L 49.7 265 19.1 4.9 U 0.94 0.1 U 13.9 419

PC0165 D0165-M 57.9 327 16.8 0.92 J 0.84 0.12 U 18.3 1000

PC0201 D0201-A 113 1330 0.11 24.1 1.9 UJ 0.64 0.14 J 30.9 975

PC0201 D0201-C 10.3 88.5 5.7 11.4 UJ 1.3 U 2.3 U 4.5 J 217

PC0210 D0210-C 1070 851 30.4 0.66 UJ 1.4 0.11 UJ 20.9 915 J-

PC0210 D0210-L 380 617 19.7 0.59 UJ 1.9 0.079 UJ 15.8 720 J-

PC0219 D0219-B 64 J 393 14.8 0.79 UJ 0.75 0.36 UJ 10 776

PC0219 D0219-E 108 J 655 18.3 0.86 UJ 0.55 0.03 UJ 15.1 936

PC0219 D0219-L 82.5 J 461 13.5 0.85 UJ 0.76 0.51 UJ 13.1 857

PC0221 D0221-C 79.4 J 538 18.1 0.66 UJ 1.3 0.039 UJ 9.1 738

PC0249 D0249-A 118 J- 290 J- 4 28.4 J- 1.9 UJ- 2.3 J- 0.03 J- 11.4 J- 1030 J-

PC0249 D0249-B 55.1 157 0.46 J- 13 2 UJ 3.6 0.39 U 6.2 718

PC0249 D0249-D 104 435 0.41 15.9 1.9 UJ 0.74 0.03 J 8.7 1730

PC0249 D0249-L 144 532 0.72 23.7 1.9 UJ 2.7 0.072 J 17.8 1330

PC0255 D0255-C 168 432 20.8 5.1 U 1.4 0.076 U 17 484

PC0260 D0260-B 595 704 38.2 1.2 UJ 7.4 J 0.22 UJ 27.2 1310

PC0260 D0260-D 702 979 46 1.2 UJ 8.8 J 0.23 UJ 33.8 1550

Selenium Silver Thallium Vanadium ZincNickelLead Manganese Mercury




Property

Code

Sample

Number Antimony Arsenic Barium Beryllium Cadmium Chromium Cobalt Copper

PC0260 D0260-L 5.1 J 16.5 520 0.65 7.9 140 9.4 976

PC0264 D0264-C 2.7 6.3 160 0.41 2 34 4.7 68

PC0264 D0264-L 1.8 5.5 118 0.28 J 1.8 21.3 3.6 61.4

PC0287 D0287-B 3.1 10.4 J 245 0.54 2.9 26.4 7.7 144

PC0287 D0287-C 2.4 3.5 98 0.2 J 1 14.7 9.2 40.9

PC0287 D0287-K 0.98 U 3.9 65.4 0.17 J 0.87 8.4 2.8 35.7

PC0294 D0294-B 3.8 3.7 103 0.21 J 2.5 25.3 2.5 90.3

PC0294 D0294-H 6.2 4.5 80.8 0.19 J 9 24.8 2.7 79.7

PC0294 D0294-K 2.1 2.8 46.2 0.12 J 3.4 10.2 1.4 109

PC0294 D0294-L 4.1 7.7 152 0.3 J 3.4 36.7 3.7 94.2

PC0303 D0303-E 3.3 14.7 J 126 0.31 U 1.5 J 16.4 5.2 45.9 J-

PC0303 D0303-K 2.3 19.1 J 187 0.42 2.2 J 26.3 4.8 64.2 J-

PC0303 D0303-L 2 15.2 J 151 0.34 U 2.1 J 22.8 3.9 56.9 J-

PC0327 D0327-C 0.95 UJ 2 66.1 0.082 UJ 1.1 15 1.5 31.3

PC0341 D0341-B 3.5 J- 3.5 J- 125 J- 0.22 J- 2.6 J- 34.2 J- 3.1 J- 90.7 J-

PC0341 D0341-E 12 3.6 J 143 3.9 U 4.8 81.7 11.4 107

PC0341 D0341-L 2.8 8.3 169 0.34 J 2.9 27.5 6.6 114

PC0342 D0342-B 3.5 2.8 91.9 0.17 J 3.4 29.4 2.5 110

PC0342 D0342-L 4.4 11.5 196 0.46 4.3 42.6 6.5 163

PC0342 D0342-S 4.2 9.6 172 0.38 U 3 30.7 5.1 150

PC0347 D0347-B1 8.9 5.5 J 359 0.27 J 3.2 33.3 3.5 14400

PC0347 D0347-B2 3.1 6.7 142 0.27 J 1.5 26.8 2.8 76.7

PC0347 D0347-B3 3.8 7.8 184 0.57 2.2 57.8 5.2 131

PC0347 D0347-G 2 9.1 126 0.35 J 1.9 40.8 3.9 89.6

PC0347 D0347-L 2.9 11.9 J 132 0.42 J 1.8 42.2 4.1 77.2

PC0356 D0356-B 3.3 5.5 J 170 0.093 U 1.1 10.9 1.6 118

PC0356 D0356-E 2.6 11.2 J 1280 0.18 U 2.9 104 12.2 77.5

PC0356 D0356-K 2.6 1.8 J 65.9 0.5 U 1.8 3.6 0.68 14.8

PC0356 D0356-L 2 10.4 J 300 0.17 U 2.3 24.9 2.4 81.1

PC0360 D0360-B1 2 8.2 J 187 0.48 3.3 28.8 4.3 120

PC0360 D0360-B2 1.6 7.6 J 151 0.37 U 2.9 23.4 3.9 127

PC0360 D0360-B3 3.6 6.8 J 222 0.29 U 2.6 19 4 335

PC0360 D0360-L 1.5 11.4 J 221 0.66 4.3 34 5.9 112

PC0360 D0360-L-DUP 1.4 11.9 J 228 0.69 4.5 36.6 6.2 112

PC0375 D0375-B 4.7 4.9 198 0.3 J 2.8 56.5 5.2 151

PC0375 D0375-E 4.5 4.5 143 0.3 J 3 91.7 6.2 152

PC0375 D0375-L 4.6 3.9 135 0.22 J 1.9 74.8 4.8 163

PC0376 D0376-B 2.4 J- 3.3 J- 47.8 J- 0.17 J- 0.86 J- 26.1 J- 4 J- 140 J-

PC0376 D0376-K 0.27 U 1.5 23.5 0.12 J 0.25 J 20.7 2.3 22.4

PC0376 D0376-L 1.5 1.9 25.6 0.11 J 0.5 51.7 3.5 52.4

PC0391 D0391-B 37.6 J 6.1 275 0.35 UJ 6 77.6 8.3 302




Property

Code

Sample

Number Selenium Silver Thallium Vanadium ZincNickelLead Manganese Mercury

PC0260 D0260-L 517 J 1200 45.3 1.2 UJ 7.3 J 0.24 UJ 36.5 1770

PC0264 D0264-C 135 496 0.13 23.3 1.9 UJ 0.73 0.14 J 23.1 575

PC0264 D0264-L 159 351 0.18 17.4 1.9 UJ 0.55 0.086 J 15.8 593

PC0287 D0287-B 354 457 21.8 2.1 UJ 1.1 0.14 U 23 764

PC0287 D0287-C 242 242 10.5 2.4 U 0.42 U 0.091 U 9.8 497

PC0287 D0287-K 120 144 6.8 2.5 U 0.25 U 0.05 U 7.5 350

PC0294 D0294-B 76.6 285 0.18 20.5 2 UJ 1.6 0.047 J 9.1 612

PC0294 D0294-H 102 285 0.15 17.7 1.9 UJ 1.3 0.046 J 9.5 449

PC0294 D0294-K 27.1 83.1 16.1 4.5 UJ 0.37 U 0.89 U 7.4 183

PC0294 D0294-L 112 446 0.16 22.2 1.9 UJ 1.5 0.073 J 15.6 559

PC0303 D0303-E 76.9 333 9.9 1.1 U 0.59 0.068 U 13.6 459

PC0303 D0303-K 108 456 15.5 0.83 U 1.4 0.095 U 18.6 530

PC0303 D0303-L 88 377 13 0.75 U 1.3 0.089 U 14.5 455

PC0327 D0327-C 34.8 138 8.3 0.36 UJ 0.41 J 0.51 UJ 3.3 1150

PC0341 D0341-B 88.2 J- 341 J- 0.37 J- 22.2 J- 1.9 UJ- 1.3 J- 0.042 J- 11.3 J- 673 J-

PC0341 D0341-E 1210 354 43.7 19.2 UJ 0.46 U 3.9 U 9.6 J 647

PC0341 D0341-L 334 436 0.17 16 2.9 UJ 7.2 0.1 J 15.5 871

PC0342 D0342-B 61 273 14.2 1.9 UJ 3 0.042 J 8.4 442

PC0342 D0342-L 253 637 0.24 29.9 1.9 UJ 3.4 0.19 J 26.8 794

PC0342 D0342-S 206 462 0.62 21.8 2 UJ 2.5 0.14 J 20.4 695

PC0347 D0347-B1 67.3 309 20.1 2.5 UJ 1.1 0.05 U 10.3 1330

PC0347 D0347-B2 65.3 311 17.5 4.9 U 0.76 0.058 U 10.4 708

PC0347 D0347-B3 66.2 684 34.8 4.5 U 0.89 0.099 U 18.5 736

PC0347 D0347-G 97.1 529 27.7 4.8 U 0.94 0.067 U 13.9 707

PC0347 D0347-L 93 527 27.3 2.4 UJ 0.93 0.097 U 17.3 687

PC0356 D0356-B 85.5 133 7.3 2 U 0.89 0.036 U 3.3 459

PC0356 D0356-E 1080 255 7.4 2 U 0.6 0.78 U 7.5 3530

PC0356 D0356-K 26.7 28.9 4.3 2.5 U 0.34 U 0.5 U 3.5 165

PC0356 D0356-L 415 275 11.6 2 U 1.2 0.81 U 7.2 920

PC0360 D0360-B1 189 586 22.5 1.9 U 1.5 0.13 U 17.2 640

PC0360 D0360-B2 150 519 17.3 2 U 1.5 0.12 U 15.4 575

PC0360 D0360-B3 296 278 37.5 1.9 U 1.1 0.065 U 19.9 830

PC0360 D0360-L 260 772 21.5 3.8 U 1.9 0.24 U 23.3 757

PC0360 D0360-L-DUP 274 854 23.3 3.9 U 2.4 0.26 U 24.5 754

PC0375 D0375-B 111 585 0.37 29.8 2 UJ 1.3 0.076 J 17.5 763

PC0375 D0375-E 114 705 0.21 36.1 1.9 UJ 1 0.069 J 24.8 757

PC0375 D0375-L 67.1 538 0.18 33.3 1.9 UJ 1.2 0.054 J 19.5 679

PC0376 D0376-B 111 J- 321 J- 0.078 UJ- 17.7 J- 1.9 UJ- 0.95 J- 0.034 J- 8.7 J- 539 J-

PC0376 D0376-K 8.2 224 5.3 1.9 UJ 0.1 U 0.38 U 4.7 130

PC0376 D0376-L 19.5 484 0.028 U 8 1.9 UJ 0.33 U 0.37 U 11.5 224

PC0391 D0391-B 203 J 680 35.7 0.9 UJ 2.3 J 0.98 U 15.6 1260




Property

Code

Sample


PC0391 D0391-B2 22.3 J 4.1 369 0.3 UJ 9.3 45.8 6.3 252

PC0391 D0391-L 8.1 J 4.4 256 0.41 UJ 5.4 40.4 6.6 269

PC0398 D0398-B 6.2 J- 12 J- 196 J- 0.35 UJ- 3.7 J- 82.3 J- 5.3 J- 159 J-

PC0398 D0398-E 4.2 8.1 241 0.48 4.1 321 6.8 130

PC0398 D0398-K 3 8.4 201 0.38 U 2.1 87.3 5.1 114

PC0398 D0398-L 6.6 J- 5.6 J- 204 J- 0.32 J- 1.6 J- 599 J- 6.3 J- 114 J-

PC0412 D0412-B 3.1 J 2.5 91.2 0.15 UJ 2.4 30.1 8.2 75.8

PC0412 D0412-E 3 J 3.3 111 0.22 UJ 1.9 38.8 3.7 58.4

PC0412 D0412-L 3.7 J 2.8 119 0.2 UJ 2.3 32 3.8 61.6

PC0426 D0426-B 6.2 J 13.2 308 0.34 J 2.2 61.1 6.4 185

PC0426 D0426-B2 9.1 J 19.5 743 0.31 J 3.1 61.6 4.7 117

PC0426 D0426-B-DUP 6.6 J 12.4 283 0.43 J 2.8 60 6 182

PC0426 D0426-L 5.3 J 11.3 359 0.34 J 1.8 57.7 7.2 81.8

PC0462 D0462-C 3.7 4.2 144 0.33 J 2.4 52.6 J 3.3 49.4

PC0462 D0462-L 2.7 J 6.9 241 0.43 J 1.8 29.2 J 4.8 69.1

PC0513 D0513-C 2.1 J 4.7 187 0.49 2.3 27.1 5.9 88.1

PC0513 D0513-L 2.1 J 2.4 113 0.3 UJ 1.4 18.5 2.7 55.5

PC0542 D0542-B 4.3 3.1 136 0.21 UJ 5.8 23.5 J- 4.7 154

PC0542 D0542-E 1.8 3.2 120 0.35 UJ 2.5 28.6 J- 5 139

PC0542 D0542-L 3.9 4.5 182 0.34 J 5 29.9 6.4 136

PC0599 D0599-C 3 4.4 J 501 0.31 U 1.3 34 5.2 103

PC0599 D0599-E 1 2.3 J 1870 0.14 U 0.45 J 15.2 2 58

PC0623 D0623-C 2 8.1 J 147 0.4 1.6 J 19.7 4.7 82.3 J-

PC0632 D0632-K 2.4 4.1 J 254 0.32 U 2.4 J 24.1 5.6 59.5 J-

PC0632 D0632-L 2.6 5.1 J 218 0.39 1.7 J 34.1 4.5 66.6 J-

PC0634 D0634-C 4.2 4.6 155 0.32 J 2.5 32.7 3.5 83

PC0703 D0703-B 3.2 21.4 135 0.36 UJ 2.7 22.7 4.4 75.7

PC0703 D0703-E1 4 46.9 154 0.52 2.5 29.4 5.3 79.8

PC0703 D0703-E2 3.5 34.1 117 0.42 1.9 23.8 3.8 70.9

PC0706 D0706-A 10.3 24.7 573 0.68 7.8 36.1 7.2 93.4

PC0706 D0706-B 4.4 4.7 187 0.36 J 1.9 24.8 3.7 82.9

PC0706 D0706-H 3.9 4.1 183 0.53 1.4 24.4 3.3 63.5

PC0706 D0706-L 5.6 6.2 219 0.79 2 33.2 4.5 85.2

PC0717 D0717-C 3.2 2.3 85.1 0.18 UJ 1.2 21.2 J- 2.5 87.6

PC0722 D0722-C 2.2 J 4.1 136 0.28 UJ 3.5 23.6 5.1 57.7

PC0722 D0722-L 2.3 J 4.5 131 0.28 UJ 2.6 25.2 4.6 80.5

PC0728 D0728-C 3.3 J 4.6 131 0.3 UJ 1.9 22.6 4.4 90.4

PC0748 D0748-C 4.5 4.8 155 0.23 J 3.5 33.2 5 106

PC0750 D0750-B 3.3 3.5 141 0.25 J 2.2 27.9 J 2.9 63.1

PC0750 D0750-L 3.2 3.4 138 0.42 J 2.3 25.8 J 2.9 59.1

PC0755 D0755-B 1.1 6.6 169 0.45 2.4 19.2 J- 4.2 93.1




Property

Code

Sample


PC0391 D0391-B2 191 J 390 32.1 0.75 UJ 7.6 J 0.86 U 11.3 2850

PC0391 D0391-L 134 J 346 24.9 0.62 UJ 1.4 J 0.12 UJ 11.4 1020

PC0398 D0398-B 128 J- 641 J- 0.25 J- 44.4 J- 1.9 UJ- 1.1 J- 0.11 J- 26 J- 816 J-

PC0398 D0398-E 137 2050 0.55 33.5 2 UJ 2.7 0.15 J 50.2 1340

PC0398 D0398-K 126 897 0.29 25.9 3.8 UJ 1.2 0.12 J 26.1 1400

PC0398 D0398-L 96.8 J- 3400 J- 0.15 J- 29.4 J- 1.9 UJ- 1.1 J- 0.076 J- 66.3 J- 880 J-

PC0412 D0412-B 64.6 347 11 1 UJ 0.53 0.44 UJ 8.5 997

PC0412 D0412-E 66 500 12.4 0.87 UJ 0.5 0.044 UJ 11.5 520

PC0412 D0412-L 73.9 429 12.8 0.86 UJ 0.95 0.041 UJ 10.7 567

PC0426 D0426-B 206 619 34 1.2 U 1.9 J 0.11 U 18.6 2270

PC0426 D0426-B2 123 J 621 42.8 1.2 U 1.6 J 0.12 UJ 18.1 19000

PC0426 D0426-B-DUP 214 635 36.8 1.3 U 1.7 J 0.14 U 18.6 1930

PC0426 D0426-L 122 653 26.6 0.86 UJ 1.2 J 0.096 UJ 19.1 1970

PC0462 D0462-C 81.1 1290 12.5 0.85 U 0.43 J 0.097 U 102 333

PC0462 D0462-L 130 977 15.7 1.1 U 0.57 0.16 U 58.6 421

PC0513 D0513-C 188 433 18 0.81 UJ 0.61 0.1 UJ 19.6 662

PC0513 D0513-L 79.7 255 26.6 0.51 UJ 0.31 J 0.041 UJ 10 303

PC0542 D0542-B 143 J 233 20.7 0.45 UJ 4.2 0.47 UJ 8.3 660 J-

PC0542 D0542-E 129 351 24.5 0.48 UJ 3.1 0.092 UJ 10.2 645 J-

PC0542 D0542-L 173 J 340 23.5 0.93 UJ 3 0.054 UJ 14.2 801 J-

PC0599 D0599-C 70.2 342 20.1 2 U 0.95 0.051 U 13.5 964

PC0599 D0599-E 182 265 8.9 2.4 U 0.38 U 0.48 U 5.1 287

PC0623 D0623-C 108 341 20.2 0.91 U 0.6 0.15 U 21.3 506 J-

PC0632 D0632-K 52.4 334 19.8 0.94 U 0.53 0.15 U 16.3 498 J-

PC0632 D0632-L 71.7 484 18.1 1.2 U 0.71 0.15 U 22.8 486 J-

PC0634 D0634-C 111 373 19.7 0.7 UJ 1.4 0.094 UJ 15.3 616 J-

PC0703 D0703-B 237 315 20.5 13.5 J- 5.4 0.15 UJ 17.3 871 J-

PC0703 D0703-E1 294 408 18.7 1.5 UJ 3 0.19 UJ 19 721 J-

PC0703 D0703-E2 201 341 16.5 1.7 UJ 3.7 0.13 UJ 15.4 549 J-

PC0706 D0706-A 1880 685 18.4 0.93 J 0.99 0.22 U 26.5 6080

PC0706 D0706-B 105 305 20.3 4.2 U 0.61 0.12 U 15.9 524

PC0706 D0706-H 87.3 333 18.1 4.8 U 0.63 0.095 U 15 533

PC0706 D0706-L 116 714 22.4 5 U 0.76 0.13 U 19.2 730

PC0717 D0717-C 137 236 19 0.17 UJ 0.9 0.5 U 6.2 578 J-

PC0722 D0722-C 123 216 11.7 0.6 UJ 0.61 0.074 UJ 9.1 480

PC0722 D0722-L 143 J 237 11.2 0.76 UJ 1.4 0.067 UJ 10.2 545

PC0728 D0728-C 116 J 306 16.3 0.79 UJ 1.3 0.059 UJ 12.3 792

PC0748 D0748-C 191 293 0.15 19.2 1.9 UJ 1 0.045 J 10.6 1650

PC0750 D0750-B 65.2 336 17.9 0.78 U 0.64 0.84 U 12.4 602

PC0750 D0750-L 67.4 424 J 14.2 0.76 U 0.43 0.067 U 12.6 411

PC0755 D0755-B 188 326 11.3 0.5 UJ 0.89 0.1 UJ 16.1 427 J-




Property

Code

Sample


PC0755 D0755-C 0.91 4.7 120 0.3 UJ 1.8 13.9 J- 4.4 36.3

PC0760 D0760-B1 11.6 4 77.8 0.18 UJ 1.7 14.6 2.7 87.4

PC0760 D0760-B2 6.9 6.7 151 0.39 UJ 3.1 22.7 5.6 151

PC0760 D0760-E 4.2 5.1 77.8 0.26 UJ 1.4 14.8 3 54.2

PC0760 D0760-L 165 10.5 195 0.51 3.8 27.8 5.6 136

PC0761 D0761-C 2.7 J 6.7 258 0.35 UJ 2.5 42.1 6.1 212

PC0765 D0765-C 1.3 3.5 J 109 0.28 U 1.2 J 11 3.7 52.9 J-

PC0828 D0828-B 1.6 1 68.8 0.19 UJ 0.36 UJ 10.5 J- 1 34.2

PC0828 D0828-C 2.4 3.7 152 0.32 UJ 1.4 23.6 J- 2.4 91.8

PC0843 D0843-B 3.3 J 6.1 180 0.31 UJ 2.6 22 3.5 61.2

PC0843 D0843-C 2.3 J 10.4 174 0.41 UJ 1.7 29.4 4.5 53.4

PC0875 D0875-B 1.6 10.1 J 273 0.51 3.3 20.2 5.2 87.8

PC0875 D0875-C 0.52 U 5.2 J 98.3 0.27 U 1 8.9 2.1 39.3

PC0912 D0912-C 9 7.8 J 182 0.47 3.5 J 34.3 5.1 152 J-

PC0913 D0913-B1 1.8 0.7 J 51.4 0.08 U 0.29 J 7.1 0.49 J 44.5

PC0913 D0913-B2 1.9 0.87 J 71 0.063 U 0.67 9.2 0.7 51.7

PC0913 D0913-B3 2.8 2 J 86.3 0.2 U 0.74 13.2 1.2 60.3

PC0913 D0913-L 2 2.2 J 104 0.19 U 0.92 18.9 1.8 62.6

PC0939 D0939-A 2.7 19.5 189 0.53 7.6 18.7 J- 5.4 74.7 J

PC0939 D0939-B3 8.2 5.7 262 0.19 UJ 2.6 20.4 J- 2.8 66.8 J

PC0939 D0939-C 7.5 16.9 197 0.55 3.7 33.3 J- 5.5 119 J

PC0939 D0939-K 167 11.8 141 0.48 2.5 18.8 J- 4.1 47.3 J

PC1061 D1061-A 4 23.2 310 0.64 6.3 15.8 5.8 113

PC1061 D1061-E 2.4 4.8 234 0.5 1.1 39 7.1 109

PC1061 D1061-K 1.3 1.5 69.8 0.12 J 0.93 17 1.7 51

PC1061 D1061-L 2 1.6 72.1 0.13 J 1.8 21.2 2 59.7

PC1078 D1078-E 4.7 14 282 0.35 J 13.4 293 5.5 160

PC1078 D1078-H 3.7 13.4 326 0.29 J 28 118 8.7 176

PC1078 D1078-S 4.7 14.4 291 0.35 J 13.8 300 5.6 165

PC1085 D1085-B 1.2 1.2 J 56.3 0.12 U 0.29 J 6.2 0.91 19.6 J-

PC1085 D1085-E 1.8 1.4 J 62.7 0.16 U 0.56 J 9.3 1.2 22.6 J-

PC1085 D1085-L 2.1 1.6 J 74.1 0.2 U 0.5 J 10 1.4 26.8 J-

PC1085 D1085-L-DUP 2.2 1.4 J 101 0.17 U 0.47 J 10.8 1.4 26.1 J-

PC1101 D1101-B 3.7 3.6 J 150 0.34 U 3.6 18.7 3.2 98.6

PC1101 D1101-K 2.1 1.3 J 76.6 0.17 U 0.7 8.5 1.3 44.4

PC1101 D1101-L 7.3 3 J 119 0.25 U 2 14.8 2.8 69.5

PC1116 D1116-C 1.5 6.2 286 0.7 0.93 18.4 J- 2.6 45.5

PC1116 D1116-L 4.9 8.2 210 0.41 UJ 1.6 31.2 J- 3.3 68

PC1122 D1122-B 6.7 J- 2.9 J- 95.9 J- 0.21 UJ- 1.7 J- 25.3 J- 2.7 J- 99.7 J-

PC1122 D1122-K 76.7 J 5.8 122 0.4 2.2 28.5 4.9 69.1

PC1122 D1122-L 4.7 4.4 119 0.28 U 1.8 35.6 J 3.6 83.9




Property

Code

Sample


PC0755 D0755-C 146 229 7.9 0.29 UJ 0.61 0.094 UJ 13.1 302 J-

PC0760 D0760-B1 145 227 20.6 0.43 UJ 0.91 0.067 UJ 11.8 443 J-

PC0760 D0760-B2 189 327 24.5 1 UJ 1 0.11 UJ 14.3 941 J-

PC0760 D0760-E 179 257 11 0.33 UJ 0.34 J 0.071 UJ 13.3 301 J-

PC0760 D0760-L 331 460 23.1 0.9 UJ 1 0.11 UJ 23.4 885 J-

PC0761 D0761-C 232 J 429 27.4 0.77 UJ 6.8 0.083 UJ 16.1 1070

PC0765 D0765-C 85.8 231 22.6 0.66 U 0.44 0.077 U 16.9 220

PC0828 D0828-B 31.8 J 269 6.8 2.5 U 0.19 UJ 0.49 UJ 4 263 J-

PC0828 D0828-C 85.2 J 338 14.7 0.23 UJ 1.4 0.46 UJ 9.4 501 J-

PC0843 D0843-B 143 J 325 15.6 0.7 UJ 0.96 0.06 UJ 12 737

PC0843 D0843-C 192 J 491 14.8 0.8 UJ 1.1 0.096 UJ 17.3 689

PC0875 D0875-B 362 368 19.6 2 U 4.1 0.16 U 20.1 689

PC0875 D0875-C 256 181 9 2.5 U 0.33 U 0.065 U 9.3 248

PC0912 D0912-C 161 545 26 1.2 U 1.2 0.12 U 22.8 1120

PC0913 D0913-B1 10.4 62.6 8.4 2.5 U 0.68 0.5 U 2.2 U 184

PC0913 D0913-B2 14 79.7 10 2.4 U 1.6 0.49 U 2.8 218

PC0913 D0913-B3 33.1 167 12.4 2.5 U 0.97 0.49 U 5.4 284

PC0913 D0913-L 35.4 216 12.2 2.5 U 0.99 0.041 U 7.6 338

PC0939 D0939-A 979 496 16.4 1.2 UJ 1.2 0.28 UJ 24.9 1770 J-

PC0939 D0939-B3 220 223 12 0.47 UJ 1.5 0.098 UJ 9.7 720 J-

PC0939 D0939-C 250 481 21.6 0.82 UJ 2.4 0.21 UJ 25.7 717 J-

PC0939 D0939-K 159 325 12.4 0.55 UJ 1.6 0.14 UJ 21.6 470 J-

PC1061 D1061-A 795 636 16.7 4.7 U 1.4 0.21 U 24.6 2320

PC1061 D1061-E 79.8 509 22.4 4.8 U 0.42 U 0.11 U 20.6 1020

PC1061 D1061-K 30.1 141 17.8 2.5 U 0.55 0.044 U 6.7 296

PC1061 D1061-L 39.1 142 15 2.4 U 0.93 0.48 U 6.7 455

PC1078 D1078-E 302 451 34.6 0.68 UJ 1.9 0.07 UJ 14.1 1700 J-

PC1078 D1078-H 337 295 39.5 0.37 UJ 1.9 0.079 UJ 9.9 1870 J-

PC1078 D1078-S 305 466 35.8 0.82 UJ 2 0.082 UJ 14.1 1740 J-

PC1085 D1085-B 31.4 86.7 3.9 2 U 0.19 U 0.032 U 2.9 162 J-

PC1085 D1085-E 36.9 115 4.7 1.9 U 0.23 U 0.037 U 4.8 180 J-

PC1085 D1085-L 36.1 132 6.2 0.44 U 0.33 U 0.039 U 5 195 J-

PC1085 D1085-L-DUP 42 128 5.7 2 U 0.27 U 0.04 U 4.7 202 J-

PC1101 D1101-B 109 288 19.4 2.5 U 1.3 0.078 U 12.2 618

PC1101 D1101-K 116 215 50.9 2.6 U 0.31 U 0.51 U 4.7 275

PC1101 D1101-L 92.1 255 16.4 2 U 1 0.066 U 10.4 513

PC1116 D1116-C 112 298 8.7 0.2 UJ 0.4 UJ 0.084 UJ 7.8 354 J-

PC1116 D1116-L 138 352 13.5 0.39 UJ 0.77 0.072 UJ 10.9 439 J-

PC1122 D1122-B 75.7 J- 170 J- 26.7 J- 0.71 UJ- 0.97 J- 0.96 UJ- 10.7 J- 350 J-

PC1122 D1122-K 151 346 19.4 0.76 U 0.41 J 0.14 U 25.2 590

PC1122 D1122-L 108 271 22.4 0.68 U 0.53 0.076 U 13.9 410




Property

Code

Sample


PC1123 D1123-E2 1.9 J 5.3 174 0.54 1.8 13.8 5.7 92.1

PC1123 D1123-L 2.1 J 5.6 179 0.57 1.6 14.8 5.4 65.1

PC1123 D1123-LE 1.8 J 6.3 206 0.64 2 17.6 5.6 111

PC1124 D1124-B 4.4 J 5.9 158 0.37 UJ 3.2 28.4 4.3 103

PC1124 D1124-D 3 J 6.3 157 0.45 2.3 26.2 4.9 67

PC1124 D1124-D-DUP 2.6 J 5.7 155 0.35 UJ 2.2 25.5 5.1 84.8

PC1124 D1124-SSL 2.4 J 5.4 138 0.35 UJ 1.7 19.2 3.9 39.5

PC1154 D1154-A 7.3 5.6 J 199 0.57 3.1 J 40.8 7.8 122 J-

PC1154 D1154-C 3.4 4.3 J 166 0.45 2.5 J 36.6 3.7 120 J-

PC1158 D1158-C 1.9 5.1 213 0.59 3.1 49 5.7 74

PC1158 D1158-K 2.1 2.6 J 209 0.93 1.5 13.3 3 20.8

PC1158 D1158-L 2.7 4.9 185 0.56 2 22.5 5.7 96.3

PC1168 D1168-B 5.6 J+ 4.9 150 J+ 0.22 UJ 26.3 J+ 18 J- 2.1 149

PC1168 D1168-B-DUP 3.3 J- 5.3 115 J- 0.24 UJ 18 J- 18.7 J- 2 152

PC1168 D1168-L 3 6.5 141 0.39 UJ 7.6 23.8 J- 3.1 122

PC1168 D1168-O 4 6.7 223 0.48 15.3 25.8 J- 3.3 539

PC1182 D1182-C 1.5 2.1 314 0.22 UJ 1.8 16.3 4.2 49.3

PC1182 D1182-E 1.2 2.9 299 0.32 UJ 1.5 14.3 3.9 69.5

PC1182 D1182-L 2.2 4.7 316 0.4 UJ 2.2 23 4 98.5

PC1190 D1190-B1 16.7 1.6 73.1 0.14 J 0.65 27.2 3.3 33.4

PC1190 D1190-B2 10.8 2 79.9 0.15 J 0.64 33.4 4.1 56.4

PC1190 D1190-L 9 2.1 90.8 0.17 J 0.7 65.6 3.5 41.3

PC1245 D1245-C 3.3 3.1 99.2 0.23 J 1.4 22.1 6.3 82.5

PC1245 D1245-L2 3 4.9 163 0.37 J 2.7 30.9 4.6 127

PC1267 D1267-B1 3.6 3.5 161 0.28 J 1.9 18.1 2.5 93.4

PC1267 D1267-B2 3.5 4.7 87.1 0.21 J 1.3 17.9 1.9 84.8

PC1267 D1267-B3 4 15.1 69.9 0.23 J 3.3 16.6 2.3 76.1

PC1267 D1267-L 6.4 2 74.4 0.25 J 0.71 13.3 1.8 60.5

PC1292 D1292-B 2.2 3.4 117 0.2 U 1.2 14.2 2.1 100

PC1292 D1292-L 5 5.6 143 0.35 U 2.9 26.2 3.3 81.8

PC1292 D1292-S 2.4 4.4 196 0.25 U 2.2 29.4 2.6 454

PC1293 D1293-C 1.6 5 129 0.46 J 1.6 12.4 3.4 74.3

PC1293 D1293-H 1.1 8.6 96.1 0.37 J 1.8 12.1 2.8 47.2 J+

PC1307 D1307-C 1 U 4.7 171 0.43 U 1.1 10.3 2.5 39

PC1310 D1310-A 3 7.7 157 0.61 4.9 145 7.8 134 J+

PC1310 D1310-B1 7.6 9.7 141 0.29 J 2 23.2 3.8 103 J+

PC1310 D1310-B2 3.2 15.1 J 143 0.36 J 1.8 27.5 3.3 90.8 J+

PC1310 D1310-H 2.6 13.3 165 0.43 J 2.1 26.8 3.9 86.2 J+

PC1310 D1310-L 1.9 8.3 164 0.35 J 1.4 21.4 2.9 72.2 J+

PC1337 D1337-B1 4.3 3.8 163 0.32 U 1.3 28.6 3.7 73.8

PC1337 D1337-B2 3.7 3.9 148 0.31 U 1.3 26.9 3.8 83.7




Property

Code

Sample


PC1123 D1123-E2 147 328 20.3 0.8 UJ 1.6 0.1 UJ 16.1 400

PC1123 D1123-L 141 352 16 0.78 UJ 2.1 0.12 UJ 16.7 398

PC1123 D1123-LE 164 J 406 17.1 0.91 UJ 2 0.12 UJ 19.1 510

PC1124 D1124-B 176 J 324 19.6 1.3 UJ 1.4 J 0.13 UJ 15.8 793

PC1124 D1124-D 169 435 18.4 1.1 UJ 1.8 J+ 0.13 UJ 22.5 1510 J+

PC1124 D1124-D-DUP 176 J 350 16.6 1 UJ 1.4 J- 0.12 UJ 19.6 1040 J-

PC1124 D1124-SSL 120 284 15.3 0.73 UJ 0.41 J 0.11 UJ 19.8 315

PC1154 D1154-A 138 690 18.2 1.1 U 2 0.14 U 24.7 580 J-

PC1154 D1154-C 88.9 389 23.6 0.71 U 0.86 0.081 U 16.6 557 J-

PC1158 D1158-C 201 328 17.6 4.7 U 0.71 0.11 U 13.8 837

PC1158 D1158-K 196 234 9.9 4.7 UJ 0.18 J 0.088 U 5.3 323

PC1158 D1158-L 179 321 14.1 4.9 U 0.68 0.094 U 13.5 729

PC1168 D1168-B 91.1 J 246 26.8 0.49 UJ 5.2 0.089 UJ 7.5 690 J-

PC1168 D1168-B-DUP 82.5 J 229 32.6 0.75 UJ 4.2 0.061 UJ 7.5 679 J-

PC1168 D1168-L 127 409 24.4 0.67 UJ 2.6 0.081 UJ 12.7 764 J-

PC1168 D1168-O 164 576 90.4 0.98 UJ 16.7 0.087 UJ 13.2 1180 J-

PC1182 D1182-C 175 232 6.7 0.27 UJ 0.53 0.48 U 7.1 1580 J-

PC1182 D1182-E 149 291 7.3 0.37 UJ 0.43 J 0.053 UJ 9.1 2070 J-

PC1182 D1182-L 217 350 12.4 0.58 UJ 1.2 0.067 UJ 13.3 923 J-

PC1190 D1190-B1 92.5 268 10.5 2.3 U 1 0.45 U 6 243

PC1190 D1190-B2 46.6 203 17.1 2.7 U 1.6 0.53 U 7.5 332

PC1190 D1190-L 71.8 236 18.5 2.2 U 0.77 0.04 U 8.4 415

PC1245 D1245-C 141 187 37.5 2.1 U 0.75 0.055 U 12 379

PC1245 D1245-L2 127 J 318 20.2 4.4 U 1.5 0.078 UJ 20.9 576

PC1267 D1267-B1 26 J 236 20.1 2.2 UJ 3.3 0.44 UJ 12.2 1300

PC1267 D1267-B2 26.7 J 197 17 2.5 U 4 0.49 UJ 8.6 579

PC1267 D1267-B3 55.7 J 216 13.9 2.6 U 1.4 0.51 UJ 9.2 955

PC1267 D1267-L 8.6 J 208 11.5 2.5 U 0.83 0.49 UJ 8.5 733

PC1292 D1292-B 92.4 173 12.1 1.9 U 0.46 0.05 U 7.4 305

PC1292 D1292-L 150 332 19.3 1.9 U 0.88 0.093 U 13.6 598

PC1292 D1292-S 121 223 20.6 2.5 U 3 0.061 U 9 584

PC1293 D1293-C 129 366 12.6 2.5 UJ 0.83 0.086 U 15.1 452

PC1293 D1293-H 181 310 7.8 4.4 UJ 0.48 0.074 U 13.1 432

PC1307 D1307-C 172 232 10.3 2.6 U 0.25 U 0.077 U 12.8 292

PC1310 D1310-A 336 559 25.2 5.2 UJ 0.77 0.13 U 18.8 899

PC1310 D1310-B1 90.2 289 36.5 2.2 UJ 2.2 0.065 U 11.2 537

PC1310 D1310-B2 100 359 17.8 4.8 UJ 1.3 0.077 U 14.1 512

PC1310 D1310-H 122 412 16.2 4.4 UJ 0.66 0.11 U 16.3 554

PC1310 D1310-L 82.6 346 15.3 2.6 UJ 0.53 0.073 U 12.8 420

PC1337 D1337-B1 111 377 19.6 2.5 U 0.69 0.089 U 12 543

PC1337 D1337-B2 124 372 20.2 2.6 U 0.89 0.082 U 11.7 2890




Property

Code

Sample


PC1337 D1337-C 2.6 1.2 93.6 0.17 U 0.53 28.5 1.1 120

PC1345 D1345-B 1.3 2.7 144 0.31 U 1 19.6 1.7 44.5

PC1345 D1345-L 1.4 2.7 98.2 0.26 U 1.1 29.4 1.9 71.3

PC1345 D1345-S 1.7 2.1 93.7 0.19 U 0.93 18.1 1.7 42.8

PC1403 D1403-A 10.3 25.6 590 2 3.5 27.4 6 319

PC1403 D1403-C 9.6 3.5 165 0.3 UJ 4.4 34.7 3.4 114

PC1428 D1428-B 3.3 4.5 157 0.58 2.2 42.7 4.4 113

PC1428 D1428-C 2.1 5.1 144 0.59 2 38 5.2 78

PC1428 D1428-O 3.6 5.9 209 0.72 3 52 5.7 105

PC1429 D1429-D 5.8 3.6 87.2 0.21 J 0.87 19.4 2 47.3 J+

PC1429 D1429-E 3.4 4.6 184 0.49 1.2 42.2 3.5 65.7 J+

PC1429 D1429-L 5.6 3.8 117 0.37 J 1 28 2.6 54.3 J+

PC1443 D1443-B 10.4 7.2 310 0.55 2.8 17.7 3.6 60.9 J+

PC1443 D1443-E 3.1 6.6 310 0.53 2.6 34.5 4 68.3 J+

PC1443 D1443-L 4.7 7 J 392 0.6 3.4 26.7 4 77.9 J+

PC1490 D1490-B 2 4.5 126 0.33 U 2.1 22.2 3.3 67

PC1490 D1490-K 1.4 4.1 181 0.37 U 1.8 36.7 3.3 79.6

PC1490 D1490-L 1.6 5.4 170 0.42 U 2.2 44.4 4 83.4

PC1552 D1552-C 2.3 6.4 234 0.49 3 19 J- 5.3 69.1

PC1555 D1555-C 2.7 10.5 J 264 0.54 3.8 47.4 6.3 132 J+

PC1556 D1556-E 5.3 8.4 J 193 0.49 2.7 38.3 4.8 102 J+

PC1556 D1556-K 2.1 4.6 J 104 0.17 J 1.1 18.9 2.1 37.8 J+

PC1556 D1556-L 6.6 7.9 J 162 0.42 J 2.5 28.7 4.1 79.9 J+

PC1558 D1558-B1 8.9 J 7.8 190 0.36 U 2.8 28.6 J 4 108

PC1558 D1558-B2 13.7 J 5.6 146 0.25 U 2.5 20 J 3.5 65.7

PC1558 D1558-E 3.4 9.2 247 0.46 2.7 29.3 J 4.5 76.8

PC1558 D1558-L 5.4 5.7 162 0.26 U 2.8 24.9 J 2.9 85.1

PC1578 D1578-B1 2.4 4.9 164 0.36 U 1.6 37.1 3.3 97.1

PC1578 D1578-B2 2.3 7.2 218 0.39 U 3.8 43.3 5 130

PC1578 D1578-C 0.89 U 3 110 0.26 U 0.95 26 3.3 52.3

PC1581 D1581-B1 3.7 9.8 J 252 0.66 3.3 32.5 6.1 143 J+

PC1581 D1581-B2 5.6 9.2 J 225 0.54 3.1 34.1 6.2 178 J+

PC1581 D1581-B3 5.6 10.4 J 184 0.52 3.3 39.6 6.5 351 J+

PC1581 D1581-LR 3.3 10.3 J 262 1.6 3.6 33.6 6.7 133 J+

PC1598 D1598-A 6.5 70.1 J 377 0.8 38.6 26.2 10.9 260

PC1598 D1598-D 3.1 9.2 J 215 0.65 4.2 20.9 5.9 96.2

PC1598 D1598-E 3.2 9.3 J 216 0.62 4.3 22.6 5.7 83.3

PC1598 D1598-L 4.2 9 J 197 0.68 4.4 22.8 5.4 121

PC1620 D1620-C 17.2 4.3 139 0.34 J 1.4 40.7 3.1 153

PC1630 D1630-B 2.1 12.5 J 147 0.43 3 32.2 4.9 146

PC1630 D1630-K 1.6 12.6 J 154 0.55 2.4 30.7 5.2 88.7




Property

Code

Sample


PC1337 D1337-C 28.6 296 5.3 2.6 U 0.16 U 0.52 U 6.2 257

PC1345 D1345-B 38.7 282 14.7 2.6 U 0.39 U 0.057 U 7.5 447

PC1345 D1345-L 47.6 379 13 2.6 U 0.47 U 0.061 U 9.6 560

PC1345 D1345-S 33.9 231 11.7 2.6 U 0.46 U 0.042 U 6.6 333

PC1403 D1403-A 1300 7330 16.8 1.4 UJ 6.9 0.16 UJ 45.1 7530 J-

PC1403 D1403-C 111 456 18.1 0.41 UJ 0.6 0.063 UJ 15.3 680 J-

PC1428 D1428-B 154 656 22.6 0.67 UJ 1 0.096 UJ 17.1 3970 J-

PC1428 D1428-C 154 677 17.4 0.66 UJ 0.71 0.11 UJ 17.3 8240 J-

PC1428 D1428-O 185 795 23 0.92 UJ 1 0.15 UJ 20.8 4940 J-

PC1429 D1429-D 57.8 264 10.7 0.5 J- 0.76 0.05 U 8.8 561

PC1429 D1429-E 91.8 671 14.7 4.6 UJ 0.77 0.088 U 16 670

PC1429 D1429-L 64.3 416 12.3 2.4 UJ 0.6 0.071 U 11.3 534

PC1443 D1443-B 312 504 12.2 4.4 UJ 0.57 0.11 U 15 869

PC1443 D1443-E 444 623 15.3 3.8 UJ 0.55 0.11 U 17.1 761

PC1443 D1443-L 663 554 15 4.5 UJ 0.77 0.15 U 16.1 1130

PC1490 D1490-B 183 364 17.3 2.5 U 1.3 0.097 U 12.1 526

PC1490 D1490-K 136 453 15.2 1.8 U 0.81 0.091 U 12.1 521

PC1490 D1490-L 184 654 15.8 1.8 U 0.79 0.13 U 16.4 538

PC1552 D1552-C 589 537 23.4 0.34 UJ 0.65 0.097 UJ 11.4 841 J-

PC1555 D1555-C 333 709 34.2 4.5 UJ 0.92 0.15 U 22.8 856

PC1556 D1556-E 173 617 21.9 4.3 UJ 0.88 0.15 U 19.3 1010

PC1556 D1556-K 91.8 220 8.7 2.4 UJ 0.34 J 0.048 U 8 477

PC1556 D1556-L 167 525 17.2 2.3 UJ 0.72 0.13 U 16.3 1090

PC1558 D1558-B1 196 467 19.2 0.8 U 0.98 0.11 U 15.7 678

PC1558 D1558-B2 119 334 15.3 0.72 U 0.79 0.075 U 11.3 410

PC1558 D1558-E 276 631 19.6 0.95 U 0.83 0.12 U 20.4 1020

PC1558 D1558-L 126 350 18 0.72 U 1 0.98 U 11.3 520

PC1578 D1578-B1 121 504 24.3 2.1 U 2.2 0.07 U 12.5 541

PC1578 D1578-B2 610 530 27.2 1.8 U 2.2 0.11 U 19.7 870

PC1578 D1578-C 66.4 415 20.3 1.8 U 13.8 0.057 U 10.4 494

PC1581 D1581-B1 506 859 28.2 4.2 UJ 1.4 0.16 U 22.9 1430

PC1581 D1581-B2 250 591 27.8 4.3 UJ 3 0.12 U 18.2 1120

PC1581 D1581-B3 296 663 28.1 1.2 J- 29.4 0.14 U 19.1 1140

PC1581 D1581-LR 407 1320 24.9 0.44 J- 1.8 0.18 U 25.5 1180

PC1598 D1598-A 2130 1350 33.7 0.74 J- 4.5 0.36 U 24.5 2290

PC1598 D1598-D 264 620 30.4 4.4 UJ 1.1 0.16 U 21.5 779

PC1598 D1598-E 275 636 26.6 4.4 UJ 0.97 0.15 U 21.6 706

PC1598 D1598-L 261 600 31.4 3.9 UJ 1.2 0.14 U 19.9 745

PC1620 D1620-C 64.4 515 0.1 27.1 2 UJ 0.95 0.048 J 13.1 649

PC1630 D1630-B 107 462 22.8 3.8 UJ 0.95 0.08 U 19.3 726

PC1630 D1630-K 159 526 17.8 3.7 UJ 0.87 0.16 U 24 439




Property

Code

Sample


PC1630 D1630-L 1.2 8.7 J 101 0.34 J 1.2 30.2 4.8 66.2

PC1644 D1644-B1 4.3 11.3 161 0.39 J 6.6 56.9 J 4.5 168

PC1644 D1644-B2 5.4 10.7 205 0.45 4.4 51.7 J 5 150

PC1644 D1644-L 3.9 14.1 179 0.44 6.9 64 J+ 4.5 119

PC1644 D1644-L-DUP 3.9 14.5 179 0.44 5.9 48.8 J- 4.5 123

PC1648 D1648-C 3.7 8.1 J 328 0.44 J 10 73.3 20.8 533

PC1657 D1657-B 1.4 4.9 88.8 0.22 U 1.8 23.1 2.9 56.2

PC1657 D1657-H 2.9 6 177 0.41 U 3.8 21 3.6 191

PC1657 D1657-L 2.3 5.4 129 0.29 U 1.7 34.9 2.9 102

PC1737 D1737-C 3.8 4.8 J 508 0.31 U 1.8 J 32.6 3.9 91.8 J-

PC1804 D1804-C 4 3.5 J 117 0.28 U 1.6 J 42.1 3.5 138 J-

PC1807 D1807-B1 3.5 J- 2.2 J- 76.2 J- 0.15 J- 0.92 J- 35.9 J- 1.7 J- 114 J-

PC1807 D1807-B2 5 J- 3.8 J- 95.5 J- 0.26 J- 0.89 J- 49 J- 3 J- 71.9 J-

PC1807 D1807-B3 3.7 2.6 J 71.1 0.2 J 1.1 26.5 1.9 52.8

PC1807 D1807-L 2.7 3.8 J 105 0.24 J 1.1 39.5 2.4 46.7

PC1815 D1815-B1 4 4 105 0.21 UJ 1.4 23.8 J- 2.6 77.9

PC1815 D1815-B2 3 1.8 109 0.13 UJ 1.3 22.8 J- 1.6 54.9

PC1815 D1815-L 7.2 4.6 161 0.3 UJ 1.6 32.5 J- 3.5 82.5

PC1831 D1831-B 4.2 J- 5.9 J- 142 J- 0.26 J- 5.2 J- 42.2 J- 3.9 J- 418 J-

PC1831 D1831-K 4.5 J- 4.3 J- 119 J- 0.19 J- 9.4 J- 44.2 J- 3.6 J- 1430 J-

PC1831 D1831-L 4.4 8.1 142 J+ 0.36 J 7 55.5 4.8 282

PC1831 D1831-L-Dup 4.3 J- 7.3 J- 110 J- 0.33 J- 8.7 J- 47 J- 4.3 J- 278 J-

PC1978 D1978-B 2.7 3.2 J 99.3 0.2 U 3.3 J 14.3 2.4 82.2 J-

PC1978 D1978-B2 3.5 4.5 J 151 0.32 U 5.2 J 20.3 3.9 111 J-

PC1978 D1978-B-DUP 2.3 2.8 J 88.8 0.17 U 3.4 J 16 2.2 66.5 J-PC1978 D1978-C 2.5 3.8 J 317 0.24 U 1.6 J 26.9 3.4 137 J-




Property

Code

Sample


PC1630 D1630-L 118 476 18 4.2 UJ 1.1 0.089 U 17.1 316

PC1644 D1644-B1 134 694 30.3 1.1 U 1.4 0.1 U 18.3 819

PC1644 D1644-B2 121 J 698 28.8 1.3 U 2.2 0.13 UJ 20.8 759

PC1644 D1644-L 132 678 21.9 1.1 U 1.2 0.1 U 18.4 881 J-

PC1644 D1644-L-DUP 133 674 22.2 1.1 U 1.2 0.12 U 18.8 1220 J+

PC1648 D1648-C 356 806 83.2 5 UJ 8.1 0.09 U 20.1 1560

PC1657 D1657-B 73.5 243 11.9 1.9 U 1.2 0.057 U 7.9 2120

PC1657 D1657-H 89.4 367 14.3 1.9 U 1.8 1 U 12.5 2070

PC1657 D1657-L 63.7 J 351 17.8 1.7 U 1.2 0.059 UJ 10.8 1210

PC1737 D1737-C 98.3 416 18.9 0.73 U 0.73 0.11 U 14.3 869

PC1804 D1804-C 44.1 J 395 29.5 3.8 U 2 0.38 UJ 13 666

PC1807 D1807-B1 36.6 J- 244 J- 18.5 J- 4.5 UJ- 0.4 UJ- 0.89 UJ- 7.6 J- 386 J-

PC1807 D1807-B2 57.9 J- 459 J- 22.9 J- 0.61 J- 0.32 UJ- 0.057 UJ- 12.1 J- 433 J-

PC1807 D1807-B3 41.6 332 69.1 0.7 J- 1.4 0.04 U 7.5 374

PC1807 D1807-L 52.3 J 387 13.3 0.74 J- 0.48 U 0.057 UJ 12.2 384

PC1815 D1815-B1 108 J 339 17.9 0.92 UJ 1 0.048 UJ 12.1 524 J-

PC1815 D1815-B2 65.6 221 13.4 0.096 UJ 0.58 0.43 U 6.4 324 J-

PC1815 D1815-L 137 492 20.1 0.55 UJ 0.95 0.071 UJ 14 818 J-

PC1831 D1831-B 164 J- 533 J- 0.61 J- 34.2 J- 1.8 UJ- 2.8 J- 0.07 J- 13.6 J- 1140 J-

PC1831 D1831-K 338 J- 346 J- 0.36 J- 38.7 J- 1.8 UJ- 2.8 J- 0.055 J- 13 J- 2790 J-

PC1831 D1831-L 187 986 0.43 26.7 1.9 UJ 1.9 0.12 J 19.6 959

PC1831 D1831-L-Dup 183 J- 890 J- 0.42 J- 30.3 J- 1.9 UJ- 2 J- 0.09 J- 16.5 J- 999 J-

PC1978 D1978-B 203 J+ 228 21.3 1 U 2.4 J+ 0.055 U 8.5 1300

PC1978 D1978-B2 156 321 33.4 1.1 U 1.6 0.08 U 14.2 1400

PC1978 D1978-B-DUP 111 J- 218 19.7 0.81 U 1.5 J- 0.045 U 7.4 1280PC1978 D1978-C 1060 198 10.4 0.8 U 0.55 0.11 U 9.6 1490

Acronyms and Symbols

J Concentration is estimated.


U Analyte was not detected.

UJ Analyte was not detected, detection limit is approximate.

+ Estimated concentration, true concentration is likely lower than reported value.

- Estimated concentration, true concentration is likely higher than reported value.




Appendix B

Soil Concentration Data

Appendix B. Soil Concentration Data (all concentrations in ppm)

Property Code Sample ID

0049 S0049-APS-0001-01 13.1 40 J 452 207 293 J

0049 S0049-APS-0106-01 15.7 60.9 J 511 324 369 J

0049 S0049-APS-0612-01 14.1 J 56.6 J 458 384 336 J

0049 S0049-APS-1218-01 19 J 61.7 J 490 420 319 J

0049 S0049-APW-0001-01 13.2 46.7 J 526 288 370 J

0049 S0049-APW-0106-01 13 J 43.8 J 438 180 250 J

0049 S0049-APW-0612-01 7.14 J 33.9 J 454 101 159 J

0049 S0049-APW-1218-01 12.7 J 45.9 J 446 205 210 J

0049 S0049-BY-0001-01 9.58 J 44 600 182 253

0049 S0049-BY-0001-02 7.95 J 49.3 664 201 305

0049 S0049-BY-0001-03 9.11 J 45.5 644 129 231

0049 S0049-BY-0106-01 19.3 62.4 626 318 416

0049 S0049-BY-0106-02 20 65.6 606 358 457

0049 S0049-BY-0106-03 14.7 63.1 775 313 433

0049 S0049-BY-0612-01 15.7 61.6 542 331 412

0049 S0049-BY-0612-02 15.3 62.6 524 325 432

0049 S0049-BY-0612-03 19.2 62.4 594 311 375

0049 S0049-BY-1218-01 14.3 50.6 511 255 286

0049 S0049-BY-1218-02 16.6 54.8 536 296 321

0049 S0049-BY-1218-03 16.7 49.6 553 242 212

0049 S0049-DZ-0001-01 12.5 48.1 J 492 228 316 J

0049 S0049-DZ-0106-01 17.1 62.7 J 541 346 455 J

0049 S0049-DZ-0612-01 18.9 65.4 J 506 370 477 J

0049 S0049-DZ-1218-01 15.7 51.3 J 504 252 289 J

0049 S0049-FY-0001-01 18.4 58.5 J 457 316 395 J

0049 S0049-FY-0106-01 22 77.9 J 507 417 472 J

0049 S0049-FY-0612-01 25 68.1 J 475 392 378 J

0049 S0049-FY-1218-01 18.6 53.1 J 486 333 237 J

0049 S0049-PA-0001-01 12.4 43.9 J 584 237 382 J

0049 S0049-PA-0106-01 13.8 47.1 J 516 233 357 J

0049 S0049-SYS-0001-01 18.7 48.5 472 J 254 250

0049 S0049-SYS-0106-01 16.7 J 53.9 459 J 323 395

0049 S0049-SYS-0612-01 20.7 65.8 483 J 412 439

0049 S0049-SYS-1218-01 18.8 49.7 475 J 234 216

0053 S0053-AP-0001-01 10.1 J 44.9 418 J 185 291

0053 S0053-AP-0106-01 13.6 J 58.4 458 J 227 333

0053 S0053-AP-0612-01 7.75 35.3 439 J 82.8 298

0053 S0053-AP-1218-01 14.3 56.9 442 J 169 456

0053 S0053-BY-0001-01 13.6 51.6 461 J 350 505

0053 S0053-BY-0106-01 12 60 489 370 515

0053 S0053-BY-0612-01 10 J 36.4 396 J 143 237

0053 S0053-BY-1218-01 19.6 79.2 471 261 321

0053 S0053-DZ-0001-01 13.9 56.7 467 365 591

0053 S0053-DZ-0106-01 14.8 48.3 456 J 328 472

0053 S0053-DZ-0612-01 15 44.5 472 208 289

0053 S0053-DZ-1218-01 15.4 J 40.2 482 183 221

0053 S0053-ED-0001-01 13.8 69.9 502 460 789

0053 S0053-ED-0106-01 15.7 66.1 487 402 576

0053 S0053-ED-0612-01 11.7 38 439 J 150 220

0053 S0053-ED-1218-01 17 67.3 469 190 314

0053 S0053-FY-0001-01 11.7 54.6 466 286 433

0053 S0053-FY-0106-01 16.5 62.3 476 311 439

0053 S0053-FY-0612-01 12.6 52.2 453 242 326

0053 S0053-FY-1218-01 11.5 42 440 124 164

0057 S0057-AP-0001-01 9.73 45.6 467 228 360

0057 S0057-AP-0106-01 12.5 45.2 441 162 256

0057 S0057-AP-0612-01 11.7 29.5 435 116 171

0057 S0057-AP-1218-01 7.29 J 26.3 468 64.8 111

0057 S0057-BY-0001-01 14.4 62.5 470 327 559

0057 S0057-BY-0106-01 13.9 J 64.9 489 405 523

Arsenic Copper Manganese Lead Zinc




Property Code Sample ID Arsenic Copper Manganese Lead Zinc

0057 S0057-BY-0612-01 14.6 J 53.7 463 286 368

0057 S0057-BY-1218-01 18.5 J 61.9 513 346 389

0057 S0057-DZG-0001-01 17.4 J 93.5 543 650 913

0057 S0057-DZG-0106-01 19.5 56.9 437 345 454

0057 S0057-DZG-0612-01 24.6 72.6 494 527 392

0057 S0057-DZG-1218-01 39.2 91.1 544 694 428

0057 S0057-FY-0001-01 22.3 95 475 741 772

0057 S0057-FY-0106-01 19.8 J 103 529 766 740

0057 S0057-FY-0612-01 27.1 71 509 602 383

0057 S0057-FY-1218-01 24.5 47.8 478 351 332

0057 S0057-SY-0001-01 24.2 120 631 606 888

0057 S0057-SY-0106-01 13.2 J 77.5 472 367 425

0057 S0057-SY-0612-01 22.2 74.8 478 442 396

0057 S0057-SY-1218-01 29.2 83.2 534 624 459

0132 S0132-BY-0001-01 11.7 47.4 468 180 386

0132 S0132-BY-0106-01 11.5 54.6 439 175 343

0132 S0132-BY-0612-01 10.5 46.1 399 136 217

0132 S0132-BY-1218-01 14.7 38.6 407 133 151

0132 S0132-FY-0001-01 8.74 47.9 389 182 364

0132 S0132-FY-0001-02 9.79 47.6 443 170 378

0132 S0132-FY-0001-03 6.6 51.6 432 176 384

0132 S0132-FY-0106-01 7.32 51.5 439 159 306

0132 S0132-FY-0106-02 7.05 JK 46.7 418 163 321

0132 S0132-FY-0106-03 8.8 J 52.3 402 167 330

0132 S0132-FY-0612-01 9.92 36.6 304 106 160

0132 S0132-FY-0612-02 11.8 38.1 325 109 178

0132 S0132-FY-0612-03 11.5 J 45 354 152 195

0132 S0132-FY-1218-01 12 37.3 365 154 136

0132 S0132-FY-1218-02 16.2 30.2 291 63 92.3

0132 S0132-FY-1218-03 10 25.6 318 77.3 109

0132 S0132-SYS-0001-01 13.6 56.4 487 216 483

0132 S0132-SYS-0106-01 7.74 JK 49 419 167 300

0132 S0132-SYS-0612-01 9.82 32.9 351 105 152

0132 S0132-SYS-1218-01 10.6 35.6 369 147 187

0133 S0133-BY-0001-01 12.3 61.2 520 198 766

0133 S0133-BY-0106-01 11.8 58.5 432 159 395

0133 S0133-BY-0612-01 6.34 33.7 407 58.2 159

0133 S0133-BY-1218-01 5.24 26 381 25.6 80.1

0133 S0133-FY-0001-01 9.85 55.5 427 164 396

0133 S0133-FY-0106-01 7.92 42.7 382 133 307

0133 S0133-FY-0612-01 5.57 29.1 322 43.4 111

0133 S0133-FY-1218-01 5.46 28.8 452 26.7 87.4

0133 S0133-SYN-0001-01 10.5 49.2 494 148 382

0133 S0133-SYN-0106-01 15.6 57.2 512 236 510

0133 S0133-SYN-0612-01 10.1 30 391 74.9 146

0133 S0133-SYN-1218-01 28.3 58.4 507 455 313

0133 S0133-SYS-0001-01 9.84 60.4 484 188 476

0133 S0133-SYS-0106-01 12.3 51.9 434 151 341

0133 S0133-SYS-0612-01 9.8 39.3 428 94.4 174

0139 S0139-APE-0001-01 9.79 J 32.1 410 J 120 194

0139 S0139-APE-0106-01 7.62 J 21.8 264 J 40.3 65.6 J

0139 S0139-APE-0612-01 11.6 J 25.2 287 J 77.7 118

0139 S0139-APE-1218-01 14.6 26.9 373 J 107 147

0139 S0139-APS-0001-01 9.84 J 39.9 460 J 125 256

0139 S0139-APS-0106-01 11.3 J 42.9 352 J 141 168

0139 S0139-APS-0612-01 11.6 J 33.3 394 J 142 173

0139 S0139-APS-1218-01 17.8 59 418 J 255 253

0139 S0139-BY-0001-01 10.5 J 48.2 393 J 270 421

0139 S0139-BY-0106-01 12.8 57.9 378 J 263 400

0139 S0139-BY-0612-01 11.3 J 40 325 J 155 193





0139 S0139-BY-1218-01 20.9 49.7 410 J 226 188

0139 S0139-DZ-0001-01 15 45.4 446 J 292 431

0139 S0139-DZ-0106-01 11.3 J 43 443 J 251 328

0139 S0139-DZ-0612-01 15.2 38.4 382 J 217 207

0139 S0139-DZ-1218-01 14.4 31.7 395 J 136 146

0139 S0139-FY-0001-01 9.76 40.8 436 J 163 316

0139 S0139-FY-0106-01 9.25 J 36.1 381 J 138 214

0139 S0139-FY-0612-01 12.5 36.4 371 J 128 152

0139 S0139-FY-1218-01 13.6 33 341 J 93.4 125

0139 S0139-SYE-0001-01 10 42.9 J 370 J 178 276

0139 S0139-SYE-0106-01 11.9 34.9 351 J 154 202

0139 S0139-SYE-0612-01 18.7 42.2 370 J 201 191

0139 S0139-SYE-1218-01 25 51 419 J 270 224

0139 S0139-SYW-0001-01 11.9 48.7 415 232 446

0139 S0139-SYW-0106-01 16.8 J 66.8 442 J 303 492

0139 S0139-SYW-0612-01 15.3 59.1 419 J 227 401

0139 S0139-SYW-1218-01 23.6 55.6 424 J 262 257

0143 S0143-AP-0001-01 11.4 41.6 J 493 J 120 299

0143 S0143-AP-0106-01 9.66 43.2 J 435 J 128 272

0143 S0143-AP-0612-01 4.84 J 27 J 275 J 45 94.3

0143 S0143-AP-1218-01 6.92 J 23.6 J 347 J 48.6 90

0143 S0143-BY-0001-01 10 J 54.8 J 499 J 197 436

0143 S0143-BY-0001-02 12 52.6 J 510 J 189 433

0143 S0143-BY-0001-03 12.9 50.4 J 512 J 237 512

0143 S0143-BY-0106-01 6.37 J 38.8 J 367 J 99.4 196

0143 S0143-BY-0106-02 7.11 30.5 J 324 J 97 191

0143 S0143-BY-0106-03 8.01 33.8 J 387 J 130 258

0143 S0143-BY-0612-01 5.52 J 24.2 J 302 J 53.1 107

0143 S0143-BY-0612-02 6.89 J 24.3 J 301 J 71.4 129

0143 S0143-BY-0612-03 7.7 25.9 J 318 J 67.1 129

0143 S0143-BY-1218-01 14.1 34.4 J 399 J 165 197

0143 S0143-BY-1218-02 12 32.5 J 363 J 143 209

0143 S0143-BY-1218-03 16.6 43.4 J 356 J 170 193

0143 S0143-FY-0001-01 9.96 51.2 J 532 J 151 322

0143 S0143-FY-0106-01 8.04 35 J 333 J 79.8 159

0143 S0143-FY-0612-01 4.57 J 22.7 J 231 J 33.3 J 63.7 J

0143 S0143-FY-1218-01 6.24 20 J 271 J 27.2 J 67.7 J

0143 S0143-SYE-0001-01 10 42.4 J 422 J 250 338

0143 S0143-SYE-0106-01 12.2 34.4 J 348 J 167 236

0143 S0143-SYE-0612-01 9.51 32.3 J 323 J 111 180

0143 S0143-SYE-1218-01 11.9 28.1 J 333 J 101 168

0143 S0143-SYW-0001-01 13.3 41.1 J 393 J 226 256

0143 S0143-SYW-0106-01 7.02 32.7 J 335 J 121 170

0143 S0143-SYW-0612-01 5.12 J 22.1 J 288 J 50.5 77.1

0143 S0143-SYW-1218-01 9.7 29.9 J 320 J 110 124

0152 S0152-AP-0001-01 10.7 J 43 567 224 321

0152 S0152-AP-0106-01 15.2 55.9 508 254 363

0152 S0152-AP-0612-01 12.8 J 49.7 417 193 326

0152 S0152-AP-1218-01 25.9 45.5 553 216 416

0152 S0152-BY-0001-01 16 85.8 414 J 530 471

0152 S0152-BY-0106-01 15.6 J 126 473 862 546

0152 S0152-BY-0612-01 14.1 J 84.7 428 J 555 357

0152 S0152-BY-1218-01 14.9 46.8 J 292 J 208 178

0152 S0152-DZ-0001-01 14 41.9 J 504 J 191 377

0152 S0152-DZ-0106-01 13.7 J 32.7 J 256 J 102 208

0152 S0152-DZ-0612-01 13.4 28 J 152 J 48.6 164

0152 S0152-DZ-1218-01 12.5 30 J 180 J 61.5 165

0152 S0152-ED-0001-01 7 J 16.5 J 353 66.7 126

0152 S0152-ED-0106-01 9.31 J 29.3 273 J 86.3 148

0152 S0152-ED-0612-01 13 J 33.2 154 J 29 J 123





0152 S0152-ED-1218-01 11.8 J 29.2 140 J 27.4 J 122

0152 S0152-FY-0001-01 10.8 J 51.5 J 473 J 275 401

0152 S0152-FY-0106-01 12.4 74.2 J 440 J 289 380

0152 S0152-FY-0612-01 7.95 J 95.1 J 355 J 133 170

0152 S0152-FY-1218-01 12.3 31.9 J 217 J 50.8 143

0152 S0152-SYS-0001-01 12.3 J 73.4 466 367 354

0152 S0152-SYS-0106-01 20.5 147 490 936 483

0152 S0152-SYS-0612-01 16.2 68.5 316 J 321 259 J

0152 S0152-SYS-1218-01 12.8 34 173 J 75.6 152 J

0153 S0153-BY-0001-01 16 84.8 441 J 336 J 757

0153 S0153-BY-0106-01 16.3 84.9 453 J 348 J 728

0153 S0153-BY-0612-01 15.3 60.7 328 J 192 J 409

0153 S0153-BY-1218-01 13 44.6 250 J 108 J 243

0153 S0153-ED-0001-01 16.5 80.5 753 316 565

0153 S0153-ED-0106-01 16.5 68.8 444 J 337 519

0153 S0153-ED-0612-01 17.3 60.9 293 J 279 457

0153 S0153-ED-1218-01 11.5 47.7 274 J 162 270

0153 S0153-FY-0001-01 15.4 64.5 362 J 264 J 495

0153 S0153-FY-0106-01 14.6 60.9 309 J 198 J 387

0153 S0153-FY-0612-01 11.3 37.6 134 J 40.4 J 146

0153 S0153-FY-1218-01 11 28.5 137 J 24 J 120

0153 S0153-SYN-0001-01 13.4 61.4 290 J 225 489

0153 S0153-SYN-0106-01 15.5 62.3 266 J 201 426

0153 S0153-SYN-0612-01 13.5 57 182 J 119 268

0153 S0153-SYN-1218-01 15 31.6 137 J 43 156

0164 S0164-APE-0001-01 14.6 39.2 J 425 J 164 214

0164 S0164-APE-0106-01 15.8 42.5 J 380 J 160 172

0164 S0164-APE-0612-01 14.6 31.9 J 343 J 72.2 94.1

0164 S0164-APE-1218-01 5.47 J 33.5 J 327 J 33.8 J 53.4 J

0164 S0164-APN-0001-01 13.3 47.2 J 552 J 144 235

0164 S0164-APN-0106-01 24.5 53.2 553 J 289 336

0164 S0164-APN-0612-01 14.5 47.3 J 471 J 151 199

0164 S0164-APN-1218-01 8.96 29.8 J 332 J 78.8 216

0164 S0164-BY-0001-01 12.5 44.9 J 514 170 327

0164 S0164-BY-0106-01 22.1 50.7 J 409 J 208 255

0164 S0164-BY-0612-01 13.8 29.8 J 302 J 79.3 123

0164 S0164-BY-1218-01 9.6 29.7 J 291 J 47.1 69.4 J

0164 S0164-FY-0001-01 11.3 J 43.5 J 527 204 358

0164 S0164-FY-0106-01 15.1 47.1 J 464 J 294 368

0164 S0164-FY-0612-01 13.8 47 J 390 J 176 227

0164 S0164-FY-1218-01 10.4 33.3 J 371 J 42.2 76.4

0164 S0164-SYE-0001-01 13 54.4 J 490 181 317

0164 S0164-SYE-0106-01 12.8 56.2 J 434 J 178 314

0164 S0164-SYE-0612-01 11.2 43.8 J 344 J 119 208

0164 S0164-SYE-1218-01 7.5 33.2 J 270 J 41.8 103

0164 S0164-SYW-0001-01 10.4 47.7 J 394 J 129 257

0164 S0164-SYW-0106-01 10.6 46.3 J 433 J 142 256

0164 S0164-SYW-0612-01 13.1 J 49.3 J 368 J 144 250

0164 S0164-SYW-1218-01 11 41.2 J 372 J 89.9 149

0165 S0165-AP-0001-01 10.3 70.2 474 115 222

0165 S0165-AP-0106-01 7.66 J 36 J 404 91.8 164

0165 S0165-AP-0612-01 15.6 50.3 J 404 207 165

0165 S0165-AP-1218-01 9.99 J 41 J 372 138 147

0165 S0165-BYN-0001-01 5.63 J 30 J 386 J 57.9 166

0165 S0165-BYN-0106-01 10.4 J 38.6 J 411 J 130 236

0165 S0165-BYN-0612-01 13.3 37.9 J 359 J 109 186

0165 S0165-BYN-1218-01 12.2 30 J 311 J 62.7 99.7

0165 S0165-BYS-0001-01 14.3 38.4 J 380 J 143 221

0165 S0165-BYS-0106-01 14 34.3 J 432 J 101 154

0165 S0165-BYS-0612-01 7.84 29.2 J 350 J 49.4 90.3





0165 S0165-BYS-1218-01 7.22 J 26.3 J 349 J 31.2 J 69.3

0165 S0165-CP-0001-01 6.2 J 27.7 J 355 42.6 113

0165 S0165-CP-0106-01 8.46 J 39 J 357 98.7 174

0165 S0165-CP-0612-01 14.1 43.6 J 371 118 192

0165 S0165-CP-1218-01 11.9 28.5 J 275 J 27.9 J 67.9 J

0165 S0165-DZ-0001-01 8.6 43 J 405 122 229

0165 S0165-DZ-0106-01 12.8 44 J 412 155 267

0165 S0165-DZ-0612-01 11 J 43.2 J 366 125 209

0165 S0165-DZ-1218-01 12 40 J 329 97.8 166

0165 S0165-ED-0001-01 12.6 41.1 J 402 142 234

0165 S0165-ED-0106-01 14.3 39.6 J 341 123 185

0165 S0165-ED-0612-01 14.2 42.6 J 313 155 120

0165 S0165-ED-1218-01 10.1 25.4 J 279 J 30.4 J 53.2 J

0165 S0165-FY-0001-01 11.3 42.8 J 417 187 325

0165 S0165-FY-0106-01 13.1 42.6 J 397 212 304

0165 S0165-FY-0612-01 14.8 50.6 J 472 208 307

0165 S0165-FY-1218-01 13.4 36.2 J 340 89.6 160

0165 S0165-SYE-0001-01 8.39 40 J 397 J 66.9 182

0165 S0165-SYE-0106-01 11.1 J 40.8 J 410 J 152 J 226

0165 S0165-SYE-0612-01 11.3 41.5 J 432 J 173 229

0165 S0165-SYE-1218-01 13 33.3 J 335 J 113 117

0165 S0165-SYW-0001-01 11.3 47.5 J 451 J 176 366

0165 S0165-SYW-0106-01 14.8 68.8 449 J 197 357

0165 S0165-SYW-0612-01 13.3 69.8 489 J 190 337

0165 S0165-SYW-1218-01 9.97 28.7 J 244 J 43.2 89.9

0201 S0201-EDE-0001-01 8.2 111 454 J 33.9 J 127 J

0201 S0201-EDE-0106-01 8.95 80.4 J 439 J 49.5 J 140 J

0201 S0201-EDN-0001-01 10.1 117 630 41.4 179 J

0201 S0201-EDN-0106-01 10 95.1 469 J 68.8 J 162 J

0201 S0201-EDS-0001-01 11.4 113 489 52.3 169 J

0201 S0201-EDS-0106-01 10.6 84.1 500 90.6 196 J

0201 S0201-EDW-0001-01 7.55 112 427 24.3 J 120 J

0201 S0201-EDW-0106-01 7.36 J 117 404 19.4 J 71.6 J

0201 S0201-EDW-0612-01 8.67 47.1 J 423 48.6 115 J

0201 S0201-EDW-1218-01 9.39 J 42.9 J 429 93.5 148 J

0201 S0201-GA-0001-01 10.1 57.2 J 430 J 80.7 J 196 J

0201 S0201-GA-0106-01 8.45 47.4 J 412 J 46.1 J 114 J

0201 S0201-GA-0612-01 9.55 38.2 J 426 J 114 J 201 J

0201 S0201-SYE-0001-01 6.3 35.4 J 333 J 42.6 J 141 J

0201 S0201-SYE-0106-01 10.4 55 J 614 84.6 J 252 J

0201 S0201-SYW-0001-01 6.74 98.7 448 J 35.9 J 176 J

0201 S0201-SYW-0106-01 8.27 107 423 J 29.5 J 89.7 J

0201 S0201-SYW-0612-01 9.47 52 J 404 J 71.1 J 143 J

0210 S0210-BY-0001-01 24.8 61.5 526 J 318 449

0210 S0210-BY-0106-01 20.5 62.5 527 J 279 465

0210 S0210-BY-0612-01 13.3 40.8 443 J 165 245

0210 S0210-BY-1218-01 10.9 29.9 497 J 109 147

0210 S0210-DZ-0001-01 4.3 J 39.3 411 J 98.8 195

0210 S0210-FY-0001-01 15.7 J 49.5 562 J 283 441

0210 S0210-FY-0106-01 20 J 65.1 582 J 451 653

0210 S0210-FY-0612-01 24.2 J 79.5 572 J 878 953

0210 S0210-FY-1218-01 36.1 67.6 730 1210 938

0210 S0210-SYS-0001-01 13.2 69.4 660 301 617

0210 S0210-SYS-0106-01 19.6 85.4 605 338 638

0210 S0210-SYS-0612-01 25.9 73.5 540 J 369 512

0210 S0210-SYS-1218-01 29.6 85.7 761 494 745

0219 S0219-BY-0001-01 13.2 J 77.6 544 245 530

0219 S0219-BY-0106-01 14.2 76.2 515 273 471

0219 S0219-BY-0612-01 17.7 118 470 257 596

0219 S0219-BY-1218-01 9 J 39.3 335 J 87.3 156





0219 S0219-FY-0001-01 9.84 J 73 476 247 499

0219 S0219-FY-0106-01 21 126 657 410 790

0219 S0219-FY-0612-01 24.3 103 626 413 666

0219 S0219-FY-1218-01 17.5 55.5 427 J 278 310

0219 S0219-RG-0001-01 13.9 59.7 809 331 545

0219 S0219-RG-0106-01 15.4 61.7 533 229 431

0219 S0219-RG-0612-01 14.1 52.9 465 137 286

0219 S0219-RG-1218-01 11.7 35.4 368 J 94.9 203

0219 S0219-SYN-0001-01 18.1 136 756 373 925

0219 S0219-SYN-0106-01 20 142 811 455 954

0219 S0219-SYN-0612-01 24.1 115 933 516 860

0219 S0219-SYN-1218-01 30 86.5 852 625 646

0219 S0219-SYS-0001-01 19 77.2 723 373 649

0219 S0219-SYS-0106-01 22.6 67.5 715 366 641

0219 S0219-SYS-0612-01 21.1 63 591 368 486

0219 S0219-SYS-1218-01 18.2 55.3 574 285 352

0221 S0221-BY-0001-01 19.1 132 769 367 873

0221 S0221-BY-0106-01 23.2 125 706 343 727

0221 S0221-BY-0612-01 19.7 71.5 585 257 416

0221 S0221-BY-1218-01 13.7 54.6 494 131 223

0221 S0221-DY-0001-01 19.1 80 664 308 597

0221 S0221-DY-0106-01 21.5 89.6 618 328 602

0221 S0221-DY-0612-01 21.6 73.5 632 279 503

0221 S0221-DY-1218-01 16.8 59.5 530 203 359

0221 S0221-DZ-0001-01 28.9 141 834 470 1300

0221 S0221-DZ-0106-01 24.8 108 683 364 811

0221 S0221-DZ-0612-01 17.6 63.5 546 225 393

0221 S0221-DZ-1218-01 10.4 30.9 378 J 80.5 179

0221 S0221-DZG-0001-01 17 74.7 699 361 716

0221 S0221-DZG-0106-01 18.2 75.1 628 352 636

0221 S0221-DZG-0612-01 17.1 65.3 546 357 513

0221 S0221-DZG-1218-01 20.5 74.7 585 358 531

0221 S0221-SYE-0001-01 16.2 89.8 739 278 663

0221 S0221-SYE-0106-01 14.9 J 83.1 662 267 611

0221 S0221-SYE-0612-01 17.8 83.3 623 314 511

0221 S0221-SYE-1218-01 19.2 65.4 536 261 374

0221 S0221-SYW-0001-01 33 88.4 690 309 729

0221 S0221-SYW-0106-01 26.6 88.6 604 277 655

0221 S0221-SYW-0612-01 20.5 70.4 568 264 391

0221 S0221-SYW-1218-01 14.7 41 J 421 J 82 174

0249 S0249-APN-0001-01 11.3 35.3 483 92.7 171

0249 S0249-APN-0106-01 11 28.1 331 J 68.8 71.2 J

0249 S0249-APN-0612-01 7.41 J 23 291 J 19.4 J 48.3 J

0249 S0249-APN-1218-01 6.41 J 24 J 310 J 21.7 J 47.6 J

0249 S0249-APW-0001-01 11.7 J 50.2 789 270 357

0249 S0249-APW-0106-01 12.1 J 40.5 540 230 292

0249 S0249-APW-0612-01 9.49 27.7 301 J 59.3 102

0249 S0249-APW-1218-01 7.07 J 23.6 293 J 60 J 63.1 J

0249 S0249-BY-0001-01 22.4 83.9 610 342 566

0249 S0249-BY-0106-01 37.4 92.8 490 261 449

0249 S0249-BY-0612-01 23.8 34.3 J 381 J 62.6 129

0249 S0249-BY-1218-01 8.05 J 24.6 J 326 J 26.3 J 54.7 J

0249 S0249-FY-0001-01 32.4 71.1 J 581 314 506

0249 S0249-FY-0106-01 57.6 63.8 J 558 253 432

0249 S0249-FY-0612-01 52.3 43.2 J 463 J 111 210

0249 S0249-FY-1218-01 32.9 26.2 J 373 J 34.1 J 73

0249 S0249-Shed_Area-0001-01 9.68 J 42 J 486 277 417

0249 S0249-Shed_Area-0106-01 10.6 J 39.1 J 399 J 159 246

0249 S0249-Shed_Area-0612-01 7.97 J 29.6 J 383 J 80 127

0249 S0249-Shed_Area-1218-01 6.25 J 25 J 354 J 53.9 93.8





0249 S0249-SYN-0001-01 28.6 J 88.8 677 423 771

0249 S0249-SYN-0106-01 29.5 88.7 581 J 326 629

0249 S0249-SYN-0612-01 13.4 37.2 379 J 75.8 146

0249 S0249-SYN-1218-01 10.1 33.6 325 J 54 115

0249 S0249-SYS-0001-01 22.4 87.2 661 380 707

0249 S0249-SYS-0106-01 26 80.6 552 J 310 516

0249 S0249-SYS-0612-01 30.3 57.4 438 J 369 257

0249 S0249-SYS-1218-01 9.68 30.2 312 J 43.5 69.3

0255 S0255-AP-0001-01 20.6 54.2 J 488 J 352 433

0255 S0255-AP-0106-01 62 124 J 597 1120 694

0255 S0255-AP-0612-01 35.4 70.6 J 495 J 493 352

0255 S0255-AP-1218-01 12 28.8 J 378 J 58.1 90.3

0255 S0255-BY-0001-01 27.1 J 89.4 J 774 J 415 975 J

0255 S0255-BY-0106-01 14.7 81.6 J 576 344 692

0255 S0255-BY-0612-01 16.7 51.7 J 444 J 219 388

0255 S0255-BY-1218-01 23.2 47.3 J 455 J 234 305

0255 S0255-DZ-0001-01 17.5 J 81.4 J 770 510 886

0255 S0255-DZ-0106-01 16.3 J 72.3 J 614 381 687

0255 S0255-DZ-0612-01 12.3 42.4 J 446 J 171 306

0255 S0255-DZ-1218-01 12.1 31.2 J 389 J 114 186

0255 S0255-SYS-0001-01 15.7 88.3 J 649 418 702

0255 S0255-SYS-0106-01 21.2 65.3 J 508 J 284 429

0255 S0255-SYS-0612-01 22.8 53.8 J 460 J 267 252

0255 S0255-SYS-1218-01 22 42.2 J 379 J 166 140

0260 S0260-AP-0001-01 15 J 51.7 611 254 526

0260 S0260-AP-0106-01 15.8 40.8 441 173 230

0260 S0260-AP-0612-01 7.14 J 30.8 370 54.7 118

0260 S0260-AP-1218-01 4.46 J 25.5 367 23.7 J 73.9

0260 S0260-BY-0001-01 25.1 255 J 888 310 867

0260 S0260-BY-0106-01 23.3 94.1 642 340 551

0260 S0260-BY-0612-01 26.9 71.2 478 370 466

0260 S0260-BY-1218-01 26.1 62.7 444 225 494

0260 S0260-FY-0001-01 22.2 66.4 661 369 646

0260 S0260-FY-0001-02 19.8 76.2 672 360 675

0260 S0260-FY-0001-03 16.6 J 78.8 750 350 652

0260 S0260-FY-0106-01 23.9 77.2 640 376 578

0260 S0260-FY-0106-02 24.9 76.6 593 389 575

0260 S0260-FY-0106-03 25.8 78 646 405 613

0260 S0260-FY-0612-01 20.6 49.6 458 191 245

0260 S0260-FY-0612-02 22.6 51.1 456 240 257

0260 S0260-FY-0612-03 22.1 54.9 452 250 280

0260 S0260-FY-1218-01 14.2 30.2 370 J 96.3 134

0260 S0260-FY-1218-02 13.3 31.4 366 J 71.7 121

0260 S0260-FY-1218-03 23 42.5 399 J 223 179

0260 S0260-GA-0001-01 13.6 56.5 392 149 341

0260 S0260-GA-0106-01 12.7 67.5 530 279 536

0260 S0260-GA-0612-01 23.9 84.4 631 465 675

0260 S0260-GA-1218-01 19.1 66.1 481 277 398

0260 S0260-SY-0001-01 15.3 J 68.8 659 314 625

0260 S0260-SY-0106-01 20.7 76 607 357 574

0260 S0260-SY-0612-01 22.4 62 484 322 364

0260 S0260-SY-1218-01 13.3 33.3 374 88.7 137

0264 S0264-AP-0001-01 12.3 59.4 658 238 486

0264 S0264-AP-0106-01 7.3 28.4 357 J 71 136

0264 S0264-AP-0612-01 6.04 J 25.8 368 J 25.1 J 69 J

0264 S0264-AP-1218-01 4.85 J 20.2 379 J 22.6 J 62.1 J

0264 S0264-BY-0001-01 24.7 J 71.4 649 579 678

0264 S0264-BY-0106-01 32.5 113 769 563 833

0264 S0264-BY-0612-01 37.7 96.5 572 586 460

0264 S0264-BY-1218-01 9.12 69.3 431 J 63.1 263





0264 S0264-FY-0001-01 25.3 69.7 715 471 842

0264 S0264-FY-0106-01 25.3 74.7 606 459 656

0264 S0264-FY-0612-01 21.3 60.7 428 J 276 272

0264 S0264-FY-1218-01 19.9 37.6 382 J 180 134 J

0264 S0264-SYS-0001-01 21.4 84.2 671 365 711

0264 S0264-SYS-0106-01 26 87.3 638 409 689

0264 S0264-SYS-0612-01 17.2 66.1 513 250 406

0264 S0264-SYS-1218-01 10.9 34.4 377 J 42 89.3

0287 S0287-AP-0001-01 13 46.8 J 545 J 160 322

0287 S0287-AP-0106-01 15.9 36.3 434 J 269 205

0287 S0287-AP-0612-01 10.2 29.6 351 J 115 113

0287 S0287-AP-1218-01 7.39 21.4 361 J 31.2 J 78

0287 S0287-BY-0001-01 15.9 61.2 568 324 543

0287 S0287-BY-0001-02 17.7 62 532 292 536

0287 S0287-BY-0001-03 16.7 65.4 537 311 551

0287 S0287-BY-0106-01 18.5 72.4 577 378 608

0287 S0287-BY-0106-02 18.5 J 75.6 586 407 630

0287 S0287-BY-0106-03 17 71.5 559 412 665

0287 S0287-BY-0612-01 19.2 62.5 496 321 418

0287 S0287-BY-0612-02 21.5 71.1 495 355 437

0287 S0287-BY-0612-03 19.4 J 64.9 519 369 471

0287 S0287-BY-1218-01 14.2 33 392 84 152

0287 S0287-BY-1218-02 13.9 32.9 354 J 76.8 133

0287 S0287-BY-1218-03 12.4 34.8 J 389 132 200

0287 S0287-DZ-0001-01 18.9 65.3 1120 421 883

0287 S0287-DZ-0106-01 27.5 87.1 718 533 628

0287 S0287-DZ-0612-01 21.8 55.8 465 J 333 260

0287 S0287-DZ-1218-01 12 32.7 415 J 107 165

0287 S0287-FY-0001-01 18.2 57.5 542 385 520

0287 S0287-FY-0106-01 19.8 60 493 343 418

0287 S0287-FY-0612-01 15.3 31.3 363 84.6 124

0287 S0287-FY-1218-01 14.5 27.6 352 J 32 J 83

0287 S0287-SYS-0001-01 17.8 64.6 653 378 645

0287 S0287-SYS-0106-01 20.8 65.9 J 556 314 490

0287 S0287-SYS-0612-01 14.1 46.6 J 400 J 158 211

0287 S0287-SYS-1218-01 8.47 25.5 J 377 J 48.5 103

0294 S0294-BY-0001-01 37.8 73 553 J 303 560 J

0294 S0294-BY-0106-01 54.9 89.2 545 J 380 572 J

0294 S0294-BY-0612-01 41.7 49.2 460 J 219 252 J

0294 S0294-BY-1218-01 35.3 37.7 408 J 100 163 J

0294 S0294-DZ-0001-01 25.5 50.2 492 J 202 411 J

0294 S0294-DZ-0106-01 31.7 46.2 412 J 200 257 J

0294 S0294-DZ-0612-01 32.3 43.3 444 J 157 162 J

0294 S0294-DZ-1218-01 31.6 42 432 J 186 185 J

0294 S0294-FY-0001-01 51.8 72.5 556 J 290 516 J

0294 S0294-FY-0106-01 77.6 75.7 602 456 660 J

0294 S0294-FY-0612-01 61.9 60.7 487 J 324 306 J

0294 S0294-FY-1218-01 44.7 42.6 403 J 166 162 J

0294 S0294-PA-0001-01 103 135 766 544 1040 J

0294 S0294-PA-0106-01 81.5 81.5 528 J 318 423 J

0294 S0294-PA-0612-01 59.3 45.9 392 J 120 165 J

0294 S0294-PA-1218-01 54.4 30.2 366 J 41 80.3 J

0303 S0303-BY-0001-01 47.7 54.9 J 495 179 473

0303 S0303-BY-0106-01 58.2 48.8 J 458 147 375

0303 S0303-BY-0612-01 53.6 33 J 374 J 60.9 160

0303 S0303-BY-1218-01 39.3 21.3 J 346 J 23.1 J 82.4

0303 S0303-FY-0001-01 63.5 71.3 J 701 326 760

0303 S0303-FY-0106-01 68.9 63.5 J 541 186 419

0303 S0303-FY-0612-01 56.7 32 J 395 J 75.2 192

0303 S0303-FY-1218-01 50.4 31.7 J 302 J 35.2 112





0303 S0303-SYE-0001-01 70 J 96.6 793 365 843

0303 S0303-SYE-0001-02 66.4 J 84.3 745 287 700

0303 S0303-SYE-0001-03 59.9 108 867 387 923

0303 S0303-SYE-0106-01 44.1 57.2 556 232 467

0303 S0303-SYE-0106-02 49.9 52 549 159 402

0303 S0303-SYE-0106-03 56.4 54 550 167 422

0303 S0303-SYE-0612-01 42.7 38.2 456 J 53.6 155

0303 S0303-SYE-0612-02 44.4 31.2 372 J 40.2 127

0303 S0303-SYE-0612-03 44.2 31.7 396 J 53.8 153

0303 S0303-SYE-1218-01 36.6 26.4 353 J 29.8 J 90.6

0303 S0303-SYE-1218-02 39.5 30.4 313 J 29.3 J 93.6

0303 S0303-SYE-1218-03 37.7 33.6 365 J 37.2 115

0327 S0327-BY-0001-01 8.82 JK 43.4 512 134 301

0327 S0327-BY-0001-02 7.47 J 41.5 486 138 303

0327 S0327-BY-0001-03 8.55 J 40.4 577 138 280

0327 S0327-BY-0106-01 10 J 48.3 491 180 330

0327 S0327-BY-0106-02 9.77 39 449 138 248

0327 S0327-BY-0106-03 8.47 32.7 414 121 210

0327 S0327-BY-0612-01 17.6 63.4 509 191 309

0327 S0327-BY-0612-02 16.3 62.3 578 244 416

0327 S0327-BY-0612-03 12.5 47.1 571 168 286

0327 S0327-BY-1218-01 10.1 68 475 177 248

0327 S0327-BY-1218-02 17.2 82.3 539 223 333

0327 S0327-BY-1218-03 11.9 48.6 453 167 209

0327 S0327-FY-0001-01 15.1 73.4 717 330 763

0327 S0327-FY-0106-01 15.2 J 97.5 810 441 836

0327 S0327-FY-0612-01 23 92.9 650 451 507

0327 S0327-FY-1218-01 14.5 38.2 459 176 139

0327 S0327-SY-0001-01 10.6 J 56.8 614 205 568

0327 S0327-SY-0106-01 8.86 J 56.5 462 182 428

0327 S0327-SY-0612-01 22.6 97.3 745 415 668

0327 S0327-SY-1218-01 27.4 113 816 534 552

0341 S0341-AP-0001-01 10.4 41.8 J 523 143 253

0341 S0341-AP-0106-01 13.5 40.1 J 492 163 232

0341 S0341-AP-0612-01 7.29 J 29.2 J 358 J 40.9 76.7

0341 S0341-AP-1218-01 6.53 J 25.5 J 354 J 30.2 J 69.3 J

0341 S0341-BY-0001-01 17.7 63.6 J 651 390 531

0341 S0341-BY-0106-01 22.7 72.2 J 578 415 523

0341 S0341-BY-0612-01 32.6 78.1 J 536 506 416

0341 S0341-BY-1218-01 18.9 49.1 J 409 J 204 195

0341 S0341-DZ-0001-01 23.6 86.5 J 887 655 854

0341 S0341-DZ-0106-01 27 76.6 J 644 456 579

0341 S0341-DZ-0612-01 21.7 61.7 J 471 J 333 275

0341 S0341-DZ-1218-01 12.7 33.9 J 384 J 79.6 119

0341 S0341-FY-0001-01 24.3 J 72.8 J 698 406 597

0341 S0341-FY-0106-01 28.4 J 80.7 J 608 517 528

0341 S0341-FY-0612-01 23.8 59.3 459 J 312 253

0341 S0341-FY-1218-01 15.2 37.3 389 J 120 134

0341 S0341-SYN-0001-01 17.5 60 715 378 522

0341 S0341-SYN-0106-01 24.8 81.8 596 504 555

0341 S0341-SYN-0612-01 28.1 76.5 491 J 475 348

0341 S0341-SYN-1218-01 12.6 34.2 352 J 63.3 97.2

0341 S0341-SYS-0001-01 25.1 82 688 501 724

0341 S0341-SYS-0106-01 24.5 105 708 532 690

0341 S0341-SYS-0612-01 25.3 71.2 560 432 444

0341 S0341-SYS-1218-01 20.4 52.5 453 J 274 222

0342 S0342-BY-0001-01 27.1 114 682 457 786

0342 S0342-BY-0106-01 25.8 155 J 667 475 872

0342 S0342-BY-0612-01 22.3 105 574 645 529

0342 S0342-BY-1218-01 27.2 67.2 J 536 424 277





0342 S0342-FY-0001-01 31.2 J 105 678 464 840

0342 S0342-FY-0106-01 37.5 175 824 674 1270

0342 S0342-FY-0612-01 32.7 96.6 614 547 616

0342 S0342-FY-1218-01 41.5 67.5 J 500 443 293

0342 S0342-SY-0001-01 31.6 163 817 528 1200

0342 S0342-SY-0106-01 45.8 191 947 721 1350

0342 S0342-SY-0612-01 44.6 127 729 704 827

0342 S0342-SY-1218-01 30.5 69.3 J 493 450 285

0347 S0347-AP-0001-01 16.1 R 652 309 361

0347 S0347-AP-0106-01 17.1 J R 584 275 382

0347 S0347-AP-0612-01 20.6 R 549 268 307

0347 S0347-AP-1218-01 6.79 J R 338 J 32.1 J 76.6 J

0347 S0347-BY-0001-01 22.2 R 636 284 514

0347 S0347-BY-0106-01 25.4 R 633 334 549

0347 S0347-BY-0612-01 22.9 R 567 327 466

0347 S0347-BY-1218-01 38.9 R 650 509 399

0347 S0347-CP-0001-01 11.7 J R 905 174 423

0347 S0347-CP-0106-01 32.5 R 715 269 478

0347 S0347-CP-0612-01 25.4 R 548 322 317

0347 S0347-CP-1218-01 20.2 R 526 J 277 225

0347 S0347-FY-0001-01 33.2 R 756 378 760

0347 S0347-FY-0106-01 40.9 R 717 356 670

0347 S0347-FY-0612-01 35.3 R 509 J 198 265

0347 S0347-FY-1218-01 17.2 39.1 J 427 J 110 155

0347 S0347-SYN-0001-01 38.9 R 678 332 632

0347 S0347-SYN-0106-01 46.3 R 646 325 600

0347 S0347-SYN-0612-01 35.7 R 535 J 230 366

0347 S0347-SYN-1218-01 39.6 R 546 411 353

0356 S0356-BYE-0001-01 48.1 90.7 J 910 493 1120

0356 S0356-BYE-0106-01 45.7 88.3 J 788 426 715

0356 S0356-BYE-0612-01 27 33.3 J 407 J 83.6 137

0356 S0356-BYE-1218-01 16.9 34.9 J 391 J 55.9 114

0356 S0356-BYW-0001-01 79.7 135 1310 538 1660

0356 S0356-BYW-0106-01 54.6 93.1 J 840 360 859

0356 S0356-BYW-0612-01 28.2 60.5 J 638 204 447

0356 S0356-BYW-1218-01 18 50.7 J 544 126 298

0356 S0356-DZ-0001-01 52 117 1270 426 1410

0356 S0356-DZ-0106-01 57.9 114 1050 423 1180

0356 S0356-DZ-0612-01 25.8 100 737 309 660

0356 S0356-DZ-1218-01 12.9 J 54.1 J 498 J 147 280

0356 S0356-FY-0001-01 34.1 131 J 933 J 341 1000

0356 S0356-FY-0106-01 45.8 122 1060 J 447 1240

0356 S0356-FY-0612-01 19.1 85.1 728 J 311 662

0356 S0356-FY-1218-01 13.2 62.6 599 J 203 406

0356 S0356-GA-0001-01 84.6 133 1290 J 522 1710

0356 S0356-GA-0106-01 70 109 899 J 358 996

0356 S0356-GA-0612-01 58 84.5 674 J 302 639

0356 S0356-GA-1218-01 26.9 59.9 475 J 113 261

0360 S0360-AP-0001-01 13.1 77 765 250 499

0360 S0360-AP-0106-01 18.5 70.1 J 566 243 345

0360 S0360-AP-0612-01 19 61.7 J 589 248 258

0360 S0360-AP-1218-01 8.64 33.4 J 499 J 65.1 116

0360 S0360-BY-0001-01 17.2 87.6 762 301 743

0360 S0360-BY-0106-01 21.6 109 755 319 726

0360 S0360-BY-0612-01 32.6 148 802 496 764

0360 S0360-BY-1218-01 20.5 62.8 J 595 243 313

0360 S0360-ED-0001-01 16.2 J 101 787 290 784

0360 S0360-ED-0106-01 18.6 J 100 794 354 691

0360 S0360-ED-0612-01 21.5 139 728 364 566

0360 S0360-ED-1218-01 22.6 75.8 J 593 224 303





0360 S0360-FY-0001-01 16.9 88.9 869 265 709

0360 S0360-FY-0106-01 18.6 91.2 730 312 559

0360 S0360-FY-0612-01 24.2 62.4 J 586 245 166

0360 S0360-FY-1218-01 12.2 34.9 J 480 J 47.6 108

0360 S0360-SYN-0001-01 19 84.1 818 326 708

0360 S0360-SYN-0106-01 26.7 109 821 372 746

0360 S0360-SYN-0612-01 25.7 117 724 437 680

0360 S0360-SYN-1218-01 20.6 58.6 576 J 211 238

0375 S0375-BY-0001-01 323 J 186 1050 893 1510

0375 S0375-BY-0106-01 122 96.3 650 484 J 642

0375 S0375-BY-0612-01 86 99.2 605 685 491

0375 S0375-BY-1218-01 43.6 50.7 J 465 253 157

0375 S0375-FY-0001-01 270 228 J 926 560 1050

0375 S0375-FY-0106-01 154 96 760 383 715

0375 S0375-FY-0612-01 54.9 50.9 J 542 151 269

0375 S0375-FY-1218-01 16.1 29.4 J 365 J 40.9 94.9

0375 S0375-SYE-0001-01 201 112 J 854 601 J 1140

0375 S0375-SYE-0106-01 149 91 J 669 390 J 616

0375 S0375-SYE-0612-01 82.8 66.7 J 505 J 293 J 325

0375 S0375-SYE-1218-01 33.8 33.3 J 407 J 144 J 127

0375 S0375-SYW-0001-01 216 130 J 890 615 J 1350

0375 S0375-SYW-0106-01 122 77.2 J 629 291 J 516

0375 S0375-SYW-0612-01 74.6 50 J 500 J 240 J 260

0375 S0375-SYW-1218-01 24.8 32.2 J 386 J 60.7 J 91

0376 S0376-BY-0001-01 173 139 914 662 J 1200

0376 S0376-BY-0106-01 168 125 789 637 J 844

0376 S0376-BY-0612-01 93.8 100 603 733 J 492

0376 S0376-BY-1218-01 33.2 40.3 J 410 J 125 J 125

0376 S0376-FY-0001-01 190 106 750 361 782 J

0376 S0376-FY-0001-02 277 146 862 533 1060 J

0376 S0376-FY-0001-03 279 130 829 506 988 J

0376 S0376-FY-0106-01 137 78.3 599 259 544 J

0376 S0376-FY-0106-02 138 99.6 599 288 592 J

0376 S0376-FY-0106-03 131 75.6 615 236 481 J

0376 S0376-FY-0612-01 66.4 49.3 J 478 144 315 J

0376 S0376-FY-0612-02 59.7 46.6 J 462 135 274 J

0376 S0376-FY-0612-03 65.5 53.6 J 492 155 318 J

0376 S0376-FY-1218-01 30.6 31.8 J 384 59.2 114 J

0376 S0376-FY-1218-02 35.6 29.5 J 386 53.6 115 J

0376 S0376-FY-1218-03 33.2 30.5 J 356 39.8 91.7 J

0376 S0376-GA-0001-01 11.5 J 55.6 507 179 J 393

0376 S0376-GA-0106-01 15.9 68.9 536 224 J 458

0376 S0376-GA-0612-01 15.8 48.5 J 506 134 J 232

0376 S0376-GA-1218-01 10.6 30.8 J 395 76.2 94.1 J

0376 S0376-SYE-0001-01 39.5 61 J 544 172 J 379

0376 S0376-SYE-0106-01 54.6 62.1 J 503 164 J 341

0376 S0376-SYE-0612-01 44.1 46.1 J 401 J 113 J 209

0376 S0376-SYE-1218-01 29.4 38.9 J 412 J 92.6 J 154

0376 S0376-SYW-0001-01 236 110 844 508 J 1010

0376 S0376-SYW-0106-01 148 90.5 732 320 J 669

0376 S0376-SYW-0612-01 74.4 47.3 J 445 J 154 J 265

0376 S0376-SYW-1218-01 46.7 27.3 J 362 J 53.8 J 112

0391 S0391-APE-0001-01 18.7 55.1 1310 257 632

0391 S0391-APE-0106-01 17.4 61.3 846 271 509

0391 S0391-APE-0612-01 18.4 J 51.8 528 260 329

0391 S0391-APE-1218-01 26.9 78.5 644 478 515

0391 S0391-APN-0001-01 7.05 JK 41 746 217 436

0391 S0391-APN-0106-01 13.8 J 46 503 208 350

0391 S0391-APN-0612-01 17.2 41.5 474 188 223

0391 S0391-APN-1218-01 11.2 30.5 300 J 92.7 141





0391 S0391-BY-0001-01 16.7 67.1 942 387 801

0391 S0391-BY-0106-01 23.2 74.5 707 300 500

0391 S0391-BY-0612-01 28.5 69.5 610 353 417

0391 S0391-BY-1218-01 20.8 J 58 507 306 331

0391 S0391-FY-0001-01 23 81.9 J 767 301 614

0391 S0391-FY-0106-01 17.1 J 55.7 593 269 398

0391 S0391-FY-0612-01 9.73 J 44.6 541 189 293

0391 S0391-FY-1218-01 20 58.3 501 245 320

0398 S0398-BY-0001-01 18.7 74.4 568 258 545

0398 S0398-BY-0106-01 20.2 76.9 521 J 257 493

0398 S0398-BY-0612-01 17.3 76.6 529 J 206 347

0398 S0398-BY-1218-01 13.9 47.5 461 J 142 227

0398 S0398-DZ-0001-01 17.8 57.2 695 214 468

0398 S0398-DZ-0106-01 41.8 63.8 684 349 636

0398 S0398-DZ-0612-01 27 49.8 529 239 399

0398 S0398-DZ-1218-01 34.8 45.1 503 298 303

0398 S0398-EDN-0001-01 16.6 71.3 670 294 664

0398 S0398-EDN-0106-01 20.1 72.5 608 314 640

0398 S0398-EDN-0612-01 20.8 67.6 574 366 552

0398 S0398-EDN-1218-01 23.7 60.9 517 467 484

0398 S0398-EDS-0001-01 15.8 J 59.1 558 190 409

0398 S0398-EDS-0106-01 14.2 47.4 499 156 284

0398 S0398-EDS-0612-01 14.9 32.4 451 122 177

0398 S0398-EDS-1218-01 9.47 J 25.1 412 52.5 84.7

0398 S0398-FY-0001-01 16.6 97.4 755 323 704

0398 S0398-FY-0106-01 18.3 86.3 577 319 536

0398 S0398-FY-0612-01 20.8 70.9 567 405 420

0398 S0398-FY-1218-01 20.8 53.2 448 J 413 289

0412 S0412-BY-0001-01 5.39 J 77.1 J 638 187 600

0412 S0412-BY-0106-01 16.5 49.4 J 588 289 491

0412 S0412-BY-0612-01 17.7 J 63.6 627 337 478

0412 S0412-BY-1218-01 21.5 J 138 839 720 1030

0412 S0412-DZ-0001-01 10.7 J 50.9 692 255 534

0412 S0412-DZ-0106-01 13.6 J 53.7 533 J 312 459

0412 S0412-DZ-0612-01 9.64 JK 62.3 603 1150 735

0412 S0412-DZ-1218-01 10.4 K 74 637 1430 910

0412 S0412-FY-0001-01 8.59 J 36.6 J 462 J 161 433

0412 S0412-FY-0106-01 22.2 J 49 J 469 J 406 411

0412 S0412-FY-0612-01 14.1 J 56 419 J 448 357

0412 S0412-GA-0001-01 10.5 38.6 J 506 J 189 439

0412 S0412-GA-0106-01 12.8 42.8 J 577 289 552

0412 S0412-GA-0612-01 13 46.7 J 559 215 345

0412 S0412-GA-1218-01 10.8 J 35.9 J 410 J 132 J 161

0426 S0426-BY-0001-01 15.1 54.1 606 J 244 555

0426 S0426-BY-0001-02 13.1 52.8 588 J 263 529

0426 S0426-BY-0001-03 13.9 55.9 623 J 258 568

0426 S0426-BY-0106-01 17.1 56.7 J 609 J 276 612

0426 S0426-BY-0106-02 14.2 62.3 675 J 289 579

0426 S0426-BY-0106-03 16.3 65.4 620 J 281 567

0426 S0426-BY-0612-01 15.1 71 517 J 254 331

0426 S0426-BY-0612-02 18.9 58.9 598 J 280 371

0426 S0426-BY-0612-03 17.5 56.6 516 J 246 344

0426 S0426-BY-1218-01 15.3 45.8 465 J 160 222

0426 S0426-BY-1218-02 15.7 50.3 473 J 196 225

0426 S0426-BY-1218-03 18.8 42.3 488 J 190 212

0426 S0426-DZ-0001-01 16.7 J 78.6 866 J 392 942

0426 S0426-DZ-0106-01 22.2 J 73 798 J 437 903

0426 S0426-DZ-0612-01 24.2 64.7 695 J 413 644

0426 S0426-DZ-1218-01 15 52.7 491 J 232 257

0426 S0426-FY-0001-01 10.8 J 52.3 724 J 269 547





0426 S0426-FY-0106-01 24.9 86.1 774 J 452 705

0426 S0426-FY-0612-01 23.3 75.5 652 J 323 465

0426 S0426-FY-1218-01 20.2 65.4 589 J 293 309

0462 S0462-BY-0001-01 12 40.8 J 377 127 252

0462 S0462-BY-0106-01 9.07 J 33.9 J 381 128 213

0462 S0462-BY-0612-01 16 42.8 J 412 316 308

0462 S0462-BY-1218-01 12.5 42.7 J 397 216 229

0462 S0462-DZ-0001-01 8.91 J 41.6 398 J 143 387

0462 S0462-DZ-0106-01 6.88 J 36 429 J 168 304

0462 S0462-DZ-0612-01 12 41.2 460 J 190 249

0462 S0462-DZ-1218-01 10.1 36.5 388 J 125 168

0462 S0462-ED-0001-01 11.3 39.5 588 113 309

0462 S0462-ED-0106-01 9.41 45.1 380 J 128 223

0462 S0462-ED-0612-01 9.47 32.8 359 J 85.3 132

0462 S0462-ED-1218-01 8.06 25.1 305 J 26.5 J 74

0462 S0462-FY-0001-01 11 J 43.9 424 J 172 306

0462 S0462-FY-0106-01 10.9 J 47.1 404 J 173 263

0462 S0462-FY-0612-01 9.3 J 38.2 383 J 160 199

0462 S0462-FY-1218-01 10.3 32.9 366 J 89.1 128

0462 S0462-SYE-0001-01 10.7 34.8 430 J 132 230

0462 S0462-SYE-0106-01 8.16 J 39.1 377 J 131 205

0462 S0462-SYE-0612-01 9.82 39.7 413 J 185 254

0462 S0462-SYE-1218-01 9.69 33.4 412 J 104 146

0513 S0513-APE-0001-01 7.58 J 35.3 472 J 152 223

0513 S0513-APE-0106-01 14.1 J 50.6 439 J 228 218

0513 S0513-APE-0612-01 9.63 37.9 415 J 115 138

0513 S0513-APE-1218-01 8.86 32.5 385 J 59.7 95.6

0513 S0513-APN-0001-01 10.4 J 37.7 533 183 243

0513 S0513-APN-0106-01 9.66 34.8 403 J 127 179

0513 S0513-APN-0612-01 8.96 36.4 358 J 72.5 104

0513 S0513-APN-1218-01 6 J 30.5 365 J 36 89.1

0513 S0513-BY-0001-01 10.1 JK 56.6 430 J 252 362

0513 S0513-BY-0106-01 11.8 68.3 402 J 298 381

0513 S0513-BY-0612-01 12.5 50.4 434 J 227 271

0513 S0513-BY-1218-01 9.13 J 32.5 399 J 133 150

0513 S0513-DZ-0001-01 7.81 J 35 566 152 251

0513 S0513-DZ-0106-01 12.3 43.9 489 209 286

0513 S0513-DZ-0612-01 11 41.7 J 397 J 200 218

0513 S0513-DZ-1218-01 12.5 33.4 401 J 89 123

0513 S0513-FY-0001-01 7.49 J 35.6 550 172 285

0513 S0513-FY-0106-01 14.7 45.8 477 228 278

0513 S0513-FY-0612-01 11.4 26.5 394 J 84.9 106

0513 S0513-FY-1218-01 7.97 23.7 372 J 36.6 85.3

0513 S0513-GA-0001-01 14 76.6 425 J 333 487

0513 S0513-GA-0106-01 15.2 71.8 451 J 334 501

0513 S0513-GA-0612-01 12.3 J 51.1 J 440 J 274 349

0513 S0513-GA-1218-01 7.91 J 31.8 J 420 J 73.6 123

0513 S0513-SYE-0001-01 8.49 34.4 507 166 321

0513 S0513-SYE-0106-01 10.9 J 39.8 466 J 196 228

0513 S0513-SYE-0612-01 11.1 29.8 396 J 123 133

0513 S0513-SYE-1218-01 10.3 29.5 354 J 37.5 77.5

0542 S0542-BY-0001-01 11.6 88.4 479 J 250 555

0542 S0542-BY-0106-01 11.7 J 74.1 456 J 220 433

0542 S0542-BY-0612-01 10.9 70.8 395 J 210 306

0542 S0542-BY-1218-01 11.3 JK 46.7 493 J 228 181

0542 S0542-FY-0001-01 15 125 443 J 338 492

0542 S0542-FY-0106-01 10.3 J 102 393 J 213 277

0542 S0542-FY-0612-01 7.22 J 48.4 383 J 106 90

0542 S0542-FY-1218-01 6.59 J 30.8 366 J 29.6 J 67.8 J

0542 S0542-SYN-0001-01 13.1 78.4 488 J 319 498





0542 S0542-SYN-0001-02 13 J 102 481 J 314 533

0542 S0542-SYN-0001-03 18.5 93.4 469 J 332 574

0542 S0542-SYN-0106-01 15.1 J 81.3 448 J 309 504

0542 S0542-SYN-0106-02 13.2 JK 91.1 447 J 316 500

0542 S0542-SYN-0106-03 13.3 106 467 J 327 557

0542 S0542-SYN-0612-01 9.22 55.4 424 J 195 311

0542 S0542-SYN-0612-02 11 47.9 392 J 149 203

0542 S0542-SYN-0612-03 8.21 55.8 388 J 150 248

0542 S0542-SYN-1218-01 10.2 J 51.1 403 J 171 219

0542 S0542-SYN-1218-02 11.4 J 45.6 403 J 146 197

0542 S0542-SYN-1218-03 10.1 J 42.9 379 J 131 173

0599 S0599-AP-0001-01 8.47 J 66.3 J 530 J 132 354

0599 S0599-AP-0106-01 8.69 J 34.2 J 403 J 119 172

0599 S0599-AP-0612-01 7.14 J 25.6 375 J 53.5 92.7

0599 S0599-AP-1218-01 5.59 J 21.9 382 J 33.7 J 70.6

0599 S0599-BY-0001-01 11.3 J 38.3 432 J 191 321

0599 S0599-BY-0106-01 10.4 J 42 427 J 254 370

0599 S0599-BY-0612-01 15.1 58.2 442 J 269 395

0599 S0599-BY-1218-01 14 50 457 J 239 337

0599 S0599-FY-0001-01 18.2 46.3 509 J 276 521

0599 S0599-FY-0106-01 26.1 47.2 423 J 286 370

0599 S0599-FY-0612-01 25.7 34.8 364 J 196 229

0599 S0599-FY-1218-01 27.5 33.9 353 J 104 149

0623 S0623-AP-0001-01 20.1 48.6 457 220 314

0623 S0623-AP-0106-01 27.8 48.8 418 206 292

0623 S0623-AP-0612-01 27.8 43.9 405 173 261

0623 S0623-AP-1218-01 18.9 33 381 75.1 123

0623 S0623-BY-0001-01 17 37.8 386 132 267

0623 S0623-BY-0106-01 21.4 37.8 393 149 257

0623 S0623-BY-0612-01 32.5 43.3 394 164 236

0623 S0623-BY-1218-01 46.7 48.1 426 305 332

0623 S0623-FG-0001-01 19.7 66.9 478 286 533

0623 S0623-FG-0106-01 22.6 65.9 457 280 455

0623 S0623-FG-0612-01 27.2 57 459 313 418

0623 S0623-FG-1218-01 22.4 56.3 442 325 326

0623 S0623-FY-0001-01 11.2 42.9 403 296 369

0623 S0623-FY-0106-01 19.4 44.7 391 282 334

0623 S0623-FY-0612-01 11.6 31.7 366 156 194

0623 S0623-FY-1218-01 5.69 27.8 343 82 124

0632 S0632-APE-0001-01 7.26 35.3 440 122 272

0632 S0632-APE-0106-01 11.4 44.4 472 268 235

0632 S0632-APE-0612-01 13.6 48.7 537 410 408

0632 S0632-BY-0001-01 6.31 37.1 404 192 241

0632 S0632-BY-0106-01 7.42 32 425 146 248

0632 S0632-BY-0612-01 9.87 41 368 208 228

0632 S0632-BY-1218-01 14.8 54 452 492 318

0632 S0632-FY-0001-01 7.82 35.2 370 101 226

0632 S0632-FY-0106-01 7.81 32.4 349 94.8 171

0632 S0632-FY-0612-01 9.28 28.9 382 105 146

0632 S0632-FY-1218-01 8.28 32.9 393 143 194

0632 S0632-SYE-0001-01 5.87 31.5 352 112 203

0632 S0632-SYE-0106-01 10.2 49.8 391 272 359

0632 S0632-SYE-0612-01 10.3 50.3 425 302 288

0632 S0632-SYE-1218-01 15.1 55.1 475 466 386

0634 S0634-AP-0001-01 17.1 40.8 516 J 176 346

0634 S0634-AP-0106-01 18.9 37.9 463 J 218 356

0634 S0634-AP-0612-01 19.3 38.7 408 J 288 292

0634 S0634-AP-1218-01 18.8 39.5 426 J 198 201

0634 S0634-BYE-0001-01 9.55 66.2 556 J 314 606

0634 S0634-BYE-0106-01 12.5 54.6 476 J 210 414





0634 S0634-BYW-0001-01 12.5 46.4 J 450 J 195 402

0634 S0634-BYW-0106-01 14.2 55.8 438 J 223 441

0634 S0634-BYW-0612-01 13.1 J 54 497 J 330 419

0634 S0634-BYW-1218-01 9.9 JK 49.4 482 J 258 360

0634 S0634-FY-0001-01 10.2 41.8 473 J 185 342

0634 S0634-FY-0106-01 12.7 53.9 476 J 194 343

0634 S0634-FY-0612-01 10.5 46.4 430 J 192 282

0634 S0634-FY-1218-01 11.6 45.2 441 J 206 278

0634 S0634-SYN-0001-31 9.41 38 475 J 160 323

0634 S0634-SYN-0106-31 10.1 JK 41.9 467 J 157 281

0634 S0634-SYN-0612-31 9.83 44.2 431 J 174 246

0634 S0634-SYN-1218-31 10.4 52.6 488 J 323 286

0703 S0703-APS-0001-01 314 J 38.2 J 517 190 318

0703 S0703-APS-0106-01 163 44.8 J 524 316 461

0703 S0703-APS-0612-01 47.8 32.3 J 221 J 132 254

0703 S0703-APS-1218-01 27.1 30 J 208 J 103 196

0703 S0703-APW-0001-01 115 34.6 J 624 158 204

0703 S0703-APW-0106-01 286 40.9 J 405 J 242 252

0703 S0703-APW-0612-01 68.1 24 J 178 J 59.3 167

0703 S0703-APW-1218-01 26.2 29.8 J 179 J 51 148

0703 S0703-BY-0001-01 21.6 50.1 J 452 263 401

0703 S0703-BY-0106-01 61.6 87.1 J 491 517 596

0703 S0703-BY-0612-01 95.8 48.1 J 376 J 252 378

0703 S0703-BY-1218-01 36.4 37.2 J 366 J 106 210

0703 S0703-GA-0001-01 16.9 46.7 455 257 355

0703 S0703-GA-0106-01 21.8 64.7 420 435 486

0703 S0703-GA-0612-01 14.1 42.3 354 J 206 302

0703 S0703-GA-1218-01 10.6 35.7 348 J 98.5 174

0703 S0703-SYW-0001-01 269 75 460 669 559

0703 S0703-SYW-0106-01 271 74.1 490 421 431

0703 S0703-SYW-0612-01 140 41.7 415 168 211

0703 S0703-SYW-1218-01 83.8 24.3 447 48.4 94.5

0706 S0706-AP-0001-01 19.2 79.4 423 305 450

0706 S0706-AP-0001-02 14.3 77.9 424 290 446

0706 S0706-AP-0001-03 18.7 74.1 535 309 434

0706 S0706-AP-0106-01 18 89.5 J 391 317 425

0706 S0706-AP-0106-02 19.2 70.9 332 302 399

0706 S0706-AP-0106-03 19.2 67.6 300 J 291 382

0706 S0706-AP-0612-01 19.5 52 203 J 198 288

0706 S0706-AP-0612-02 19.9 56.1 212 J 173 284

0706 S0706-AP-0612-03 22.8 57.7 221 J 212 322

0706 S0706-AP-1218-01 15.1 33.5 117 J 47.3 182

0706 S0706-AP-1218-02 17.1 31.8 102 J 66.4 209

0706 S0706-AP-1218-03 21.6 40.4 147 J 85.7 210

0706 S0706-BY-0001-01 9.05 J 71.3 423 321 458

0706 S0706-BY-0106-01 14.7 85.1 489 423 537

0706 S0706-BY-0612-01 12.9 J 74.3 506 499 585

0706 S0706-BY-1218-01 17.6 74.1 505 415 459

0706 S0706-FY-0001-01 13.7 50 397 251 351

0706 S0706-FY-0106-01 14 57.1 485 280 347

0706 S0706-FY-0612-01 10.9 41 472 152 183

0706 S0706-FY-1218-01 8.49 39.8 485 120 120

0717 S0717-AP-0001-01 12.1 J 48.1 371 209 332

0717 S0717-AP-0001-02 12.9 40.2 378 186 298

0717 S0717-AP-0001-03 12.3 44.3 367 194 296

0717 S0717-AP-0106-01 13 50.5 426 200 288

0717 S0717-AP-0106-02 11.2 50.4 379 198 295

0717 S0717-AP-0106-03 10.7 51.2 373 199 285

0717 S0717-AP-0612-01 8.25 40.8 371 153 180

0717 S0717-AP-0612-02 11 37.9 356 154 175





0717 S0717-AP-0612-03 10.6 J 38.7 384 155 168

0717 S0717-AP-1218-01 7.72 32.2 J 371 98.8 124

0717 S0717-AP-1218-02 7.66 22.8 355 73.8 87.1

0717 S0717-AP-1218-03 7.35 24.2 349 79.2 91.5

0717 S0717-FY-0001-01 17.9 49.5 373 265 377

0717 S0717-FY-0106-01 13.1 54.4 413 253 324

0717 S0717-FY-0612-01 7.79 J 30.2 355 131 143

0717 S0717-FY-1218-01 8.19 23.8 340 57.6 73.5

0722 S0722-AP-0001-01 11.3 J 43.8 372 J 120 236

0722 S0722-AP-0106-01 11.4 42.2 398 J 114 204

0722 S0722-AP-0612-01 8.32 J 32.9 362 J 85.6 140

0722 S0722-AP-1218-01 7.44 J 29.1 352 J 94.6 152

0722 S0722-BY-0001-01 8.23 J 34.9 368 J 109 244

0722 S0722-BY-0106-01 5.92 J 50.8 383 J 124 243

0722 S0722-BY-0612-01 8.29 J 31.8 346 J 64.6 132

0722 S0722-BY-1218-01 5.48 J 26.5 331 J 24.6 J 68.2 J

0722 S0722-DZ-0001-01 11.9 J 44.5 437 J 313 515

0722 S0722-DZ-0106-01 10.8 J 40.8 456 J 291 439

0722 S0722-DZ-0612-01 8.96 J 32.2 385 J 164 211

0722 S0722-DZ-1218-01 7.92 28.9 356 J 61.7 98

0722 S0722-FY-0001-01 10.6 J 45.2 440 J 147 302

0722 S0722-FY-0106-01 11.4 48 453 J 129 248

0722 S0722-FY-0612-01 7.8 30 387 J 101 138

0722 S0722-FY-1218-01 11 34.1 395 J 126 130

0722 S0722-GA-0001-01 7.33 29.5 417 J 124 267

0722 S0722-GA-0106-01 9.39 J 33.9 405 J 132 278

0722 S0722-GA-0612-01 6.2 J 30.9 384 J 128 244

0722 S0722-GA-1218-01 6.47 J 25.2 368 J 60.4 130

0722 S0722-SYN-0001-01 9.48 J 37.8 392 J 140 280

0722 S0722-SYN-0106-01 13.9 43.6 420 J 147 264

0722 S0722-SYN-0612-01 9.51 30.5 404 J 108 167

0722 S0722-SYN-1218-01 8.02 28.1 396 J 99.4 129

0722 S0722-SYS-0001-01 14.9 47.3 423 J 191 362

0722 S0722-SYS-0106-01 14.2 48.7 461 J 204 344

0722 S0722-SYS-0612-01 11.9 38.7 414 J 113 150

0722 S0722-SYS-1218-01 8.13 24 369 J 45.2 81.7

0728 S0728-AP-0001-01 8.64 J 27.8 333 J 96.9 182

0728 S0728-AP-0106-01 8.29 21.2 277 J 92.1 176

0728 S0728-AP-0612-01 5.86 J 21.2 J 290 J 90.5 160

0728 S0728-AP-1218-01 4.97 J 18.3 262 J 55.9 90

0728 S0728-BY-0001-01 13.5 J 76.3 524 J 332 637

0728 S0728-BY-0106-01 14.8 78.8 528 J 317 565

0728 S0728-BY-0612-01 16.9 75.1 512 J 333 513

0728 S0728-BY-1218-01 17.1 72.7 690 363 470

0728 S0728-FY-0001-01 8.53 J 44.7 387 J 177 337

0728 S0728-FY-0106-01 12 J 42 398 J 194 245

0728 S0728-FY-0612-01 11.8 34.3 358 J 103 139

0728 S0728-FY-1218-01 8.42 J 25.2 J 306 J 60.2 86.3

0728 S0728-SYN-0001-01 15.1 J 56.9 539 J 351 711

0728 S0728-SYN-0106-01 13.4 46.3 428 J 225 418

0728 S0728-SYN-0612-01 8.77 25.6 287 J 94.9 119

0728 S0728-SYN-1218-01 11.2 24.1 316 J 149 119

0748 S0748-AP-0001-01 53.8 J 116 454 J 255 J 487 J

0748 S0748-AP-0106-01 64 J 55.3 J 372 J 111 J 204 J

0748 S0748-AP-0612-01 58.5 J 31.2 J 355 J 48.2 J 82 J

0748 S0748-AP-1218-01 42.7 J 33.7 J 406 J 35.5 J 72.3 J

0748 S0748-BYE-0001-01 33.9 65.7 483 J 228 426

0748 S0748-BYE-0106-01 39.6 60.4 470 J 182 272

0748 S0748-BYE-0612-01 37.2 35.4 J 375 J 69.7 108

0748 S0748-BYE-1218-01 53 26.6 J 355 J 33.7 J 66.4 J





0748 S0748-BYW-0001-01 34.9 64.4 460 J 204 337

0748 S0748-BYW-0106-01 62.7 55.5 456 J 198 271

0748 S0748-BYW-0612-01 54.7 37.2 J 416 J 77.7 140

0748 S0748-BYW-1218-01 42.9 28.4 J 365 J 42.8 80.9

0748 S0748-FY-0001-01 59.1 J 78.7 552 J 206 J 377 J

0748 S0748-FY-0001-02 53.8 78.9 463 J 236 410

0748 S0748-FY-0001-03 59.3 86.2 455 J 239 406

0748 S0748-FY-0106-01 45.7 J 55 J 436 J 162 J 249 J

0748 S0748-FY-0106-02 52 57.7 452 J 177 248

0748 S0748-FY-0106-03 47.7 59.2 410 J 159 224

0748 S0748-FY-0612-01 49.7 J 38.1 J 373 J 73.4 J 102 J

0748 S0748-FY-0612-02 57.5 31.6 J 387 J 65.1 87.8

0748 S0748-FY-0612-03 59.2 28.6 J 371 J 59.4 81.1

0748 S0748-FY-1218-01 41.6 J 29.2 J 346 J 28.1 J 60.3 J

0748 S0748-FY-1218-02 61.8 25.5 J 380 J 23.6 J 63.1 J

0748 S0748-FY-1218-03 52.8 27.4 J 346 J 24 J 57.7 J

0748 S0748-SYN-0001-01 50.9 J 73.7 498 254 422

0748 S0748-SYN-0106-01 73.1 J 53.2 J 467 J 188 275

0748 S0748-SYN-0612-01 67.6 J 38.2 J 460 J 237 157

0748 S0748-SYN-1218-01 51 J 31 J 377 J 50.4 92.1

0748 S0748-SYS-0001-01 31.9 79.6 511 J 233 494

0748 S0748-SYS-0106-01 38.1 87.3 475 J 242 337

0748 S0748-SYS-0612-01 47.1 45.2 J 422 J 134 129

0748 S0748-SYS-1218-01 45 33 J 389 J 109 84.3

0750 S0750-AP-0001-01 16.1 48.8 367 J 191 296

0750 S0750-AP-0106-01 16.4 64.8 365 J 184 264

0750 S0750-AP-0612-01 16.2 36.9 365 J 102 155

0750 S0750-AP-1218-01 9.46 28.8 367 J 46.2 89.1

0750 S0750-BY-0001-01 14.3 67.7 367 J 188 342

0750 S0750-BY-0106-01 11.5 71.4 448 J 194 328

0750 S0750-BY-0612-01 11.7 41.4 418 J 115 177

0750 S0750-BY-1218-01 7.48 29.4 328 J 37.3 87.2

0750 S0750-FY-0001-01 9.5 J 52.4 443 J 177 619

0750 S0750-FY-0106-01 11 48 431 J 193 456

0750 S0750-FY-0612-01 14.8 47.8 454 J 208 306

0750 S0750-FY-1218-01 10.1 43.1 396 J 164 194

0750 S0750-GA-0001-01 9.93 J 48.5 409 J 185 326

0750 S0750-GA-0106-01 11.3 46.9 433 J 211 337

0750 S0750-GA-0612-01 12 39.6 407 J 185 272

0750 S0750-GA-1218-01 8.86 41.1 396 J 99.2 148

0750 S0750-SY-0001-01 12.4 49.3 446 125 491

0750 S0750-SY-0106-01 9.7 43.5 432 148 389

0750 S0750-SY-0612-01 8.79 37.4 380 130 200

0750 S0750-SY-1218-01 9.11 39.8 362 62.3 129

0755 S0755-AP-0001-01 9.23 40.7 374 J 114 231

0755 S0755-AP-0106-01 12 35 322 J 120 199

0755 S0755-AP-0612-01 17.8 29 294 J 80.5 114

0755 S0755-AP-1218-01 16.1 18.5 J 241 J 37.3 83.8

0755 S0755-BY-0001-01 11.9 36.3 336 J 198 357

0755 S0755-BY-0106-01 9.6 J 49.2 382 J 229 331

0755 S0755-BY-0612-01 7.7 29.7 340 J 152 145

0755 S0755-BY-1218-01 7.33 23.7 299 J 49.9 87.1

0755 S0755-FY-0001-01 13 43.9 372 J 195 306

0755 S0755-FY-0106-01 12.3 38.3 386 J 163 211

0755 S0755-FY-0612-01 11.2 19.4 290 J 30.1 J 69.7 J

0755 S0755-FY-1218-01 9.93 19.9 J 286 J 23.5 J 64.8 J

0755 S0755-SYS-0001-01 13.5 J 66.8 509 J 269 455

0755 S0755-SYS-0106-01 15.3 60.1 508 J 252 340

0755 S0755-SYS-0612-01 6.25 J 28.4 347 J 47.8 80.1

0755 S0755-SYS-1218-01 8.51 22.4 J 310 J 29.4 J 70.3 J





0760 S0760-AP-0001-01 11.3 52.3 440 J 194 314

0760 S0760-AP-0106-01 9.29 38.6 410 J 147 220

0760 S0760-AP-0612-01 10.7 29.9 343 J 69.6 112

0760 S0760-AP-1218-01 7.78 27.4 351 J 38.6 87.3

0760 S0760-BY-0001-01 12.7 54.7 J 417 J 267 420

0760 S0760-BY-0106-01 13.2 J 60.3 J 486 289 409

0760 S0760-BY-0612-01 12.6 64.6 J 494 279 410

0760 S0760-BY-1218-01 9.67 35.8 J 397 J 113 168

0760 S0760-DZ-0001-01 13.8 J 50.8 J 471 332 436

0760 S0760-DZ-0106-01 16.4 50.2 J 482 326 409

0760 S0760-DZ-0612-01 12.7 40.6 J 409 J 184 227

0760 S0760-DZ-1218-01 11.6 34.2 J 383 J 121 141

0760 S0760-FY-0001-01 12.5 J 51.2 J 457 279 349

0760 S0760-FY-0106-01 17.6 57.2 J 510 343 343

0760 S0760-FY-0612-01 12.1 J 43.7 J 433 J 171 174

0760 S0760-FY-1218-01 10.7 24.1 J 335 J 43.8 89.1

0760 S0760-SY-0001-01 15.9 68.2 482 357 503

0760 S0760-SY-0106-01 22.1 66.5 J 511 434 487

0760 S0760-SY-0612-01 10.5 35.3 J 403 J 151 167

0760 S0760-SY-1218-01 8.79 28.1 J 385 J 42 87.7

0761 S0761-AP-0001-01 51.7 61.2 451 277 411

0761 S0761-AP-0106-01 29 37.6 405 J 156 222

0761 S0761-AP-0612-01 23.2 28.3 347 J 65.3 107

0761 S0761-AP-1218-01 9.94 21.3 J 371 J 31.1 J 77.8

0761 S0761-BY-0001-01 25.6 57.2 495 290 471

0761 S0761-BY-0106-01 41.6 66.3 488 341 509

0761 S0761-BY-0612-01 42.2 51.1 444 262 368

0761 S0761-BY-1218-01 16.5 31.6 419 J 51.3 103

0761 S0761-DZ-0001-01 29.9 52.6 513 323 537

0761 S0761-DZ-0106-01 44 52.2 481 312 624

0761 S0761-DZ-0612-01 25.8 35.9 426 132 232

0761 S0761-DZ-1218-01 22.9 38.6 407 J 117 205

0761 S0761-ED-0001-01 11 46.5 511 274 359

0761 S0761-ED-0106-01 15.8 42 430 221 205

0761 S0761-ED-0612-01 8.7 33.2 421 J 94.2 137

0761 S0761-ED-1218-01 8.08 J 26.9 362 J 33.6 J 79.8

0761 S0761-FY-0001-01 66.6 57.7 490 J 246 358

0761 S0761-FY-0106-01 52.4 39 454 J 143 173

0761 S0761-FY-0612-01 41.4 26.5 397 J 45.4 82.3

0761 S0761-FY-1218-01 22.1 27.5 329 J 23 J 74.2

0761 S0761-SYS-0001-01 74.3 67.3 524 340 528

0761 S0761-SYS-0106-01 81.8 59.6 542 313 423

0761 S0761-SYS-0612-01 65 34.5 420 J 145 134

0761 S0761-SYS-1218-01 34.9 28.1 365 J 30.1 J 86.5

0765 S0765-DZ-0001-01 15.5 69.3 559 389 763

0765 S0765-DZ-0106-01 17.6 56.7 471 486 645

0765 S0765-DZ-0612-01 17.4 47.5 436 353 345

0765 S0765-DZ-1218-01 13.9 31.5 J 364 131 167

0765 S0765-FY-0001-01 9.08 42.8 375 195 292

0765 S0765-FY-0001-02 9.21 48.5 383 202 293

0765 S0765-FY-0001-03 9.66 J 45.7 361 182 296

0765 S0765-FY-0106-01 10.5 56.2 459 276 344

0765 S0765-FY-0106-02 8.86 53.4 415 230 290

0765 S0765-FY-0106-03 11.2 JK 54.6 395 272 328

0765 S0765-FY-0612-01 11.6 41.5 368 178 223

0765 S0765-FY-0612-02 10.4 44 380 173 201

0765 S0765-FY-0612-03 10 51.2 415 215 205

0765 S0765-FY-1218-01 11 32.2 380 65.6 114

0765 S0765-FY-1218-02 8.64 28.1 345 78.5 116

0765 S0765-FY-1218-03 9.54 38.4 373 131 136





0828 S0828-AP-0001-01 12.8 59.6 592 286 486

0828 S0828-AP-0106-01 17.8 80.2 559 309 493

0828 S0828-AP-0612-01 15 62.6 499 313 397

0828 S0828-AP-1218-01 12.7 33.9 J 360 138 211

0828 S0828-BY-0001-01 12 56.2 389 239 487

0828 S0828-BY-0106-01 13.8 58.7 477 269 508

0828 S0828-BY-0612-01 11 36.3 385 141 266

0828 S0828-BY-1218-01 10.3 50.1 403 145 277

0828 S0828-FY-0001-01 14.8 64.4 508 334 542

0828 S0828-FY-0106-01 19.4 61.8 461 314 455

0828 S0828-FY-0612-01 13.2 43.2 380 173 202

0828 S0828-FY-1218-01 12.8 30.4 361 75.5 132

0828 S0828-SYN-0001-01 16.1 56.7 543 283 565

0843 S0843-AP-0001-01 10.9 J 55.3 393 J 197 291

0843 S0843-AP-0106-01 12.3 53.2 407 J 225 320

0843 S0843-AP-0612-01 9.99 J 36.7 364 J 113 163

0843 S0843-AP-1218-01 8.23 28.1 341 J 44.2 84.7

0843 S0843-BY-0001-01 10.5 J 46.3 456 240 366

0843 S0843-BY-0106-01 13.6 65.4 517 349 446

0843 S0843-BY-0612-01 16.2 58.3 494 310 373

0843 S0843-BY-1218-01 9.98 39.6 405 J 147 208

0843 S0843-CP-0001-01 13.5 45.8 457 249 410

0843 S0843-CP-0106-01 12.4 49.2 467 265 359

0843 S0843-CP-0612-01 11.7 38.7 468 169 212

0843 S0843-CP-1218-01 10.6 33.9 416 J 115 162

0843 S0843-FY-0001-01 13.1 J 47.1 416 J 293 324

0843 S0843-FY-0106-01 15.9 54.5 456 273 296

0843 S0843-FY-0612-01 12.6 37.3 368 J 132 147

0843 S0843-FY-1218-01 10.3 32.2 317 J 42.8 81.3

0843 S0843-SYN-0001-01 13.8 59.2 551 553 674

0843 S0843-SYN-0106-01 19.8 53.8 529 455 493

0843 S0843-SYN-0612-01 9.74 J 34.6 398 J 107 144

0843 S0843-SYN-1218-01 7.9 24.5 348 J 48.1 90.7

0843 S0843-SYS-0001-01 23 J 46.2 532 962 588

0875 S0875-AP-0001-01 20.3 52.9 458 J 216 343

0875 S0875-AP-0106-01 23 48.5 450 J 193 308

0875 S0875-AP-0612-01 15 39.7 365 J 84 153

0875 S0875-AP-1218-01 9.67 25.2 327 J 31.2 J 71.2 J

0875 S0875-BY-0001-01 14.5 40.7 377 J 214 326

0875 S0875-BY-0106-01 30.7 67.5 542 J 444 482

0875 S0875-BY-0612-01 28.2 57.7 592 J 353 330

0875 S0875-BY-1218-01 15.6 35.2 401 J 108 123

0875 S0875-ED-0001-01 26.8 J 72.5 595 J 592 880

0875 S0875-ED-0106-01 19.2 50.4 466 J 349 329

0875 S0875-ED-0612-01 11.4 28 395 J 64.3 68.4 J

0875 S0875-ED-1218-01 9.49 25.1 370 J 39.7 69.9 J

0875 S0875-FY-0001-01 25.1 63.3 483 J 442 585

0875 S0875-FY-0106-01 40.7 76.2 520 468 460

0875 S0875-FY-0612-01 23.3 34.4 372 J 127 108

0875 S0875-FY-1218-01 16.3 29.8 362 J 28.7 J 60.2 J

0912 S0912-BY-0001-01 15.2 42.4 448 J 203 345

0912 S0912-BY-0106-01 20.6 53.1 480 J 291 403

0912 S0912-BY-0612-01 17.2 42.5 457 J 207 238

0912 S0912-BY-1218-01 10.5 27 366 J 58.7 106

0912 S0912-DZ-0001-01 19.4 76.7 602 552 568

0912 S0912-DZ-0106-01 28.8 69.9 591 732 685

0912 S0912-DZ-0612-01 14.7 43.1 475 J 356 359

0912 S0912-DZ-1218-01 10.2 29.6 378 J 77.6 121

0912 S0912-DZG-0001-01 13.9 42.2 469 J 159 297

0912 S0912-DZG-0106-01 19 52.5 498 J 245 318





0912 S0912-DZG-0612-01 11.3 33.2 425 J 105 153

0912 S0912-DZG-1218-01 9.25 26.7 361 J 67.7 121

0912 S0912-ED-0001-01 21.7 53 516 J 321 488

0912 S0912-FY-0001-01 20.5 42.8 508 J 279 410

0912 S0912-FY-0106-01 23 57.6 491 J 303 407

0912 S0912-FY-0612-01 22.5 44.7 468 J 220 276

0912 S0912-FY-1218-01 11.8 30.2 392 J 75.8 125

0912 S0912-SYS-0001-01 20.4 71 544 J 502 575

0912 S0912-SYS-0106-01 20.7 64.1 564 J 461 482

0912 S0912-SYS-0612-01 15.3 45.4 456 J 229 234

0912 S0912-SYS-1218-01 10.2 27.9 397 J 50.5 96.3

0913 S0913-AP-0001-01 8.29 35.6 J 396 J 60.7 118

0913 S0913-AP-0106-01 10.7 49.1 J 452 J 134 183

0913 S0913-AP-0612-01 13.7 32.5 J 379 J 50.2 83.7

0913 S0913-AP-1218-01 7.77 26.1 J 319 J 21.1 J 56.9 J

0913 S0913-BY-0001-01 9.2 25.1 J 392 J 89.6 172

0913 S0913-BY-0106-01 9.32 J 39.5 J 440 J 152 245

0913 S0913-BY-0612-01 15.9 54.6 J 518 J 250 359

0913 S0913-BY-1218-01 15.8 J 41 J 466 J 219 220

0913 S0913-FY-0001-01 7.95 J 31.4 J 407 J 76.7 149

0913 S0913-FY-0106-01 10.8 41.2 J 472 J 164 212

0913 S0913-FY-0612-01 10.7 37.8 J 475 J 150 155

0913 S0913-FY-1218-01 9.38 24.7 J 376 J 56.2 84.2

0913 S0913-SYN-0001-01 9.42 27.2 J 482 J 103 188

0913 S0913-SYN-0106-01 10.7 52 J 607 273 366

0913 S0913-SYN-0612-01 14.4 52.1 J 479 J 230 221

0913 S0913-SYN-1218-01 11.7 36.2 J 435 J 141 163

0913 S0913-SYS-0001-01 9.16 J 37.6 J 402 J 98.1 162

0913 S0913-SYS-0106-01 13.8 37.5 J 406 J 116 193

0913 S0913-SYS-0612-01 13.8 40.3 392 109 174

0913 S0913-SYS-1218-01 11.3 35.5 J 375 J 101 182

0939 S0939-AP-0001-01 25.6 51.3 547 J 253 503

0939 S0939-AP-0106-01 50.4 60.9 550 J 345 560

0939 S0939-AP-0612-01 56.7 64.1 537 J 268 427

0939 S0939-AP-1218-01 29.4 35.1 421 J 147 166

0939 S0939-BY-0001-01 25 74.4 603 J 364 638

0939 S0939-BY-0106-01 26.3 68.5 593 J 353 546

0939 S0939-BY-0612-01 23.5 49.9 525 J 218 315

0939 S0939-BY-1218-01 15.9 39.3 436 J 124 193

0939 S0939-DZ-0001-01 39.1 79.8 779 1050 1450

0939 S0939-DZ-0106-01 49.2 104 776 1060 1270

0939 S0939-DZ-0612-01 17.6 52.7 450 J 379 337

0939 S0939-DZ-1218-01 11.7 28.6 403 J 124 155

0939 S0939-FY-0001-01 35.5 64.9 636 592 741

0939 S0939-FY-0106-01 35.8 69.6 582 459 567

0939 S0939-FY-0612-01 16.5 J 40.7 415 J 147 162

0939 S0939-FY-1218-01 9.42 J 22.7 384 J 41.2 83.5

0939 S0939-PA-0001-01 44.2 67.7 565 372 611

0939 S0939-PA-0106-01 55.3 68.5 562 393 564

0939 S0939-PA-0612-01 33.7 55.4 563 280 349

0939 S0939-PA-1218-01 13.9 J 33.7 406 J 101 147

0939 S0939-SYN-0001-01 37.1 71.4 633 430 654

0939 S0939-SYN-0106-01 41.3 76.7 679 451 597

0939 S0939-SYN-0612-01 15.4 J 35.3 540 J 194 195

0939 S0939-SYN-1218-01 10.2 J 27.3 394 J 72.4 121

0939 S0939-SYS-0001-01 44.9 74.5 643 443 670

0939 S0939-SYS-0106-01 59.9 77.9 672 549 747

0939 S0939-SYS-0612-01 38 53 505 327 325

0939 S0939-SYS-1218-01 17.7 J 29.5 365 J 106 128

1061 S1061-AP-0001-01 8.47 36.5 317 J 52.7 173





1061 S1061-SY-0001-01 10 40.1 429 76.9 188

1061 S1061-SY-0106-01 9.79 44.6 523 81 179

1061 S1061-SY-0612-01 8.81 J 46.8 452 64.9 133

1061 S1061-SY-1218-01 6.55 J 33.5 405 J 28.4 J 78.4

1078 S1078-BY-0001-01 18.6 78.6 J 487 J 338 514

1078 S1078-BY-0106-01 21.5 93.9 J 534 393 546

1078 S1078-BY-0612-01 18.2 62.4 J 430 J 323 365

1078 S1078-BY-1218-01 12.8 43.7 J 368 J 179 203

1078 S1078-FY-0001-01 23.6 119 J 549 469 798

1078 S1078-FY-0106-01 20.4 108 J 524 J 467 606

1078 S1078-FY-0612-01 20.7 64 J 451 J 380 376

1078 S1078-FY-1218-01 15.4 52.6 J 406 J 264 250

1078 S1078-GA-0001-01 15.4 J 51.5 J 450 J 270 457

1078 S1078-GA-0001-02 13.9 J 59.2 J 447 J 318 522

1078 S1078-GA-0001-03 15.5 J 59 J 439 J 341 415

1078 S1078-GA-0106-01 17.3 91.5 J 506 J 361 534

1078 S1078-GA-0106-02 17.9 64.7 J 460 J 361 486

1078 S1078-GA-0106-03 16.5 J 61.3 J 471 J 335 488

1078 S1078-GA-0612-01 21.1 66.8 J 477 J 370 453

1078 S1078-GA-0612-02 13.1 J 54.7 J 466 J 302 495

1078 S1078-GA-0612-03 19.6 67 J 429 J 312 418

1078 S1078-GA-1218-01 15.1 J 49.3 J 390 J 222 228

1078 S1078-GA-1218-02 15.1 J 35.7 J 395 J 177 193

1078 S1078-GA-1218-03 17.5 40.9 J 375 J 210 191

1085 S1085-AP-0001-01 8.5 46.4 482 175 411

1085 S1085-AP-0106-01 10.3 30.9 342 112 194

1085 S1085-AP-0612-01 5.91 24.4 335 50.9 97

1085 S1085-AP-1218-01 5.21 23.3 317 39.6 82.3

1085 S1085-BY-0001-01 15.1 52.5 538 328 511

1085 S1085-BY-0106-01 23.2 70.2 498 415 440

1085 S1085-BY-0612-01 20.6 56.2 421 337 325

1085 S1085-BY-1218-01 19.7 58.3 475 296 300

1085 S1085-FY-0001-01 8.85 51.5 433 313 440

1085 S1085-FY-0001-02 13.6 56.9 409 337 464

1085 S1085-FY-0001-03 10.6 57 439 320 460

1085 S1085-FY-0106-01 19.9 66.2 454 385 479

1085 S1085-FY-0106-02 17.8 67.1 439 412 502

1085 S1085-FY-0106-03 15.9 67 439 391 475

1085 S1085-FY-0612-01 12 47.7 381 294 299

1085 S1085-FY-0612-02 14.9 47.6 407 295 299

1085 S1085-FY-0612-03 15.3 45.2 405 303 311

1085 S1085-FY-1218-01 14.7 45.4 391 249 251

1085 S1085-FY-1218-02 10.6 40.3 355 223 225

1085 S1085-FY-1218-03 13.1 37.3 365 197 215

1101 S1101-BY-0001-01 8.04 64 J 414 J 162 379

1101 S1101-BY-0106-01 10.3 J 66.7 J 426 J 169 338

1101 S1101-BY-0612-01 11 49.9 J 412 J 146 226

1101 S1101-BY-1218-01 6.86 29.2 J 358 J 62.5 90.6

1101 S1101-FY-0001-01 11.7 74.9 496 J 202 413

1101 S1101-FY-0106-01 12.4 77.3 490 J 220 439

1101 S1101-FY-0612-01 9.92 46.6 J 420 J 165 231

1101 S1101-FY-1218-01 9.37 32.9 J 357 J 59.6 98.6

1116 S1116-BY-0001-01 104 77.5 460 431 535

1116 S1116-BY-0106-01 102 71.7 484 381 443

1116 S1116-BY-0612-01 82.7 50.2 451 292 320

1116 S1116-BY-1218-01 46.8 42.6 382 200 215

1116 S1116-ED-0001-01 10.3 J 34.8 412 159 236

1116 S1116-ED-0106-01 17.4 43.8 411 219 258

1116 S1116-ED-0612-01 13.9 32.7 317 146 126

1116 S1116-ED-1218-01 10.5 19.4 223 J 47.6 70.2





1116 S1116-FY-0001-01 57.6 117 561 390 563

1116 S1116-FY-0106-01 86.5 67.6 468 278 320

1116 S1116-FY-0612-01 69.3 46.3 657 201 205

1116 S1116-FY-1218-01 38 28 396 56.9 105

1116 S1116-GA-0001-01 13.1 J 63 545 268 447

1116 S1116-GA-0106-01 16.9 43.8 409 J 232 327

1116 S1116-SYN-0001-01 67 92.3 531 475 688

1116 S1116-SYN-0106-01 86.4 90.5 521 469 585

1116 S1116-SYN-0612-01 109 70.2 445 402 433

1116 S1116-SYN-1218-01 63.8 50.1 404 273 260

1116 S1116-SYS-0001-01 27 60.3 461 288 438

1116 S1116-SYS-0106-01 42.5 56.6 425 240 330

1116 S1116-SYS-0612-01 39.2 47.1 420 202 265

1116 S1116-SYS-1218-01 21.5 28.8 342 66.5 595

1122 S1122-AP-0001-01 13.9 J 61.5 477 270 412

1122 S1122-AP-0106-01 14 57.4 458 240 350

1122 S1122-AP-0612-01 9.08 J 31.8 365 104 138

1122 S1122-AP-1218-01 5.11 J 26.7 340 51.5 93

1122 S1122-BY-0001-01 11.8 45.9 400 163 318

1122 S1122-BY-0106-01 11.9 46.9 422 153 277

1122 S1122-BY-0612-01 9.03 37 395 103 184

1122 S1122-BY-1218-01 8.72 31.1 347 82.9 142

1122 S1122-FY-0001-01 12 J 49.4 443 292 388

1122 S1122-FY-0106-01 15.5 53 426 311 377

1122 S1122-FY-0612-01 11.5 45.7 459 270 299

1122 S1122-FY-1218-01 11.7 38.2 418 230 235

1122 S1122-GA-0001-01 16.4 JK 62.9 502 338 463

1122 S1122-GA-0106-01 13.6 65.3 481 289 370

1122 S1122-GA-0612-01 7.46 J 37.4 387 104 148

1122 S1122-GA-1218-01 6.68 J 28.5 J 323 J 52.9 94.1

1122 S1122-SY-0001-01 10.2 J 47.1 444 214 340

1122 S1122-SY-0106-01 12.4 56.9 445 256 354

1122 S1122-SY-0612-01 11.5 50.3 423 228 277

1122 S1122-SY-1218-01 13.8 52.8 457 295 331

1123 S1123-APE-0001-01 10.4 JK 54.4 489 J 212 360

1123 S1123-APE-0106-01 13.6 47.8 455 J 201 284

1123 S1123-APE-0612-01 9.16 33.1 389 J 116 161

1123 S1123-APN-0001-01 11.5 J 49 497 219 382

1123 S1123-APN-0106-01 9.67 JK 46.3 470 217 341

1123 S1123-APN-0612-01 11.6 34.6 437 J 126 215

1123 S1123-APN-1218-01 5.24 J 23.5 424 J 30.8 J 85.6

1123 S1123-BY-0001-01 9.07 59.9 453 170 315

1123 S1123-BY-0106-01 11.1 62.8 482 190 333

1123 S1123-BY-0612-01 8.42 40.7 437 J 117 230

1123 S1123-BY-1218-01 7.95 30.4 398 J 83 205

1123 S1123-DZ-0001-01 13.1 71.3 559 294 717

1123 S1123-DZ-0106-01 9.67 62.3 516 277 600

1123 S1123-DZ-0612-01 16.2 55.1 592 293 459

1123 S1123-DZ-1218-01 15.4 49.5 485 307 381

1123 S1123-FY-0001-01 13.1 56 486 230 387

1123 S1123-FY-0106-01 13.3 64 490 272 415

1123 S1123-FY-0612-01 14.6 J 49.8 477 303 399

1123 S1123-FY-1218-01 13.5 35.5 409 J 221 223

1123 S1123-GA-0001-01 11.4 63.4 522 238 435

1123 S1123-GA-0106-01 13.8 JK 71.7 542 275 497

1123 S1123-GA-0612-01 13.8 62.3 616 298 550

1123 S1123-GA-1218-01 11.7 J 70.8 495 224 281

1124 S1124-BY-0001-01 15.1 73.9 438 257 453

1124 S1124-BY-0106-01 15.5 82.8 432 264 455

1124 S1124-BY-0612-01 14.1 77.6 394 272 406





1124 S1124-BY-1218-01 12.7 39.6 388 117 189

1124 S1124-DZ-0001-01 26.1 103 591 534 831

1124 S1124-DZ-0106-01 19.6 J 100 500 510 732

1124 S1124-DZ-0612-01 22.4 J 86 513 495 479

1124 S1124-DZ-1218-01 21.5 57.6 443 317 242

1124 S1124-ED-0001-01 10.8 JK 41.8 461 235 333

1124 S1124-ED-0106-01 12.7 43.6 413 213 274

1124 S1124-ED-0612-01 16.5 54.3 439 300 309

1124 S1124-ED-1218-01 14.9 46.2 361 220 212

1124 S1124-FY-0001-01 14.2 90.3 477 261 441

1124 S1124-FY-0001-02 13.6 82.1 487 258 459

1124 S1124-FY-0001-03 13.8 87.8 476 275 458

1124 S1124-FY-0106-01 13.3 76.1 471 261 410

1124 S1124-FY-0106-02 15.4 80.6 429 235 374

1124 S1124-FY-0106-03 15.9 80.1 467 289 420

1124 S1124-FY-0612-01 17.5 64.5 475 327 362

1124 S1124-FY-0612-02 15.3 56.4 428 255 283

1124 S1124-FY-0612-03 16 56.5 460 293 325

1124 S1124-FY-1218-01 20.9 62 540 318 404

1124 S1124-FY-1218-02 19.3 64 559 378 352

1124 S1124-FY-1218-03 15.5 58 518 313 334

1124 S1124-SYN-0001-01 13 95.3 431 261 431

1124 S1124-SYN-0106-01 11.3 J 96.1 430 267 413

1124 S1124-SYN-0612-01 12.9 63.1 396 J 224 268

1124 S1124-SYN-1218-01 12.7 36.6 385 J 175 148

1124 S1124-SYS-0001-01 15.9 83.8 478 415 637

1124 S1124-SYS-0106-01 19.3 80.4 455 382 446

1124 S1124-SYS-0612-01 21.9 99.3 454 427 507

1124 S1124-SYS-1218-01 15 60.4 429 276 246

1154 S1154-BY-0001-01 13.3 54.7 551 236 361

1154 S1154-BY-0106-01 14.7 61.4 481 308 382

1154 S1154-BY-0612-01 12.9 48.4 428 205 221

1154 S1154-BY-1218-01 9.32 28.1 350 67.4 105

1154 S1154-DZ-0001-01 13.8 57.4 499 384 532

1154 S1154-FY-0001-01 13.9 60.1 447 349 394

1154 S1154-FY-0106-01 13.4 67 421 333 380

1154 S1154-FY-0612-01 12.1 55.8 427 246 278

1154 S1154-FY-1218-01 12.1 35.9 359 101 136

1154 S1154-SYS-0001-01 9.57 44.4 409 230 527

1154 S1154-SYS-0106-01 13.3 53.4 421 279 349

1154 S1154-SYS-0612-01 12.8 48.3 411 245 251

1154 S1154-SYS-1218-01 10.6 33.4 379 115 138

1158 S1158-BY-0001-01 16.2 70.8 481 J 397 499

1158 S1158-BY-0106-01 19.3 72.6 474 J 387 415

1158 S1158-BY-0612-01 10.6 J 40.2 393 J 187 188

1158 S1158-BY-1218-01 8.91 J 28.6 349 J 47.1 71.5

1158 S1158-DZ-0001-01 17.4 J 74.6 553 J 493 568

1158 S1158-DZ-0106-01 14.4 41.1 410 J 172 194

1158 S1158-DZ-0612-01 16.4 58.9 472 J 322 357

1158 S1158-DZ-1218-01 13.3 J 27.8 332 J 41.6 75.1

1158 S1158-FY-0001-01 20.6 81.7 540 J 498 610

1158 S1158-FY-0106-01 18.8 83.7 485 J 396 414

1158 S1158-FY-0612-01 13.7 J 43.7 392 J 123 126

1158 S1158-FY-1218-01 11.6 J 28.5 331 J 38.5 71.8

1168 S1168-AP-0001-01 12.7 33.8 390 119 190

1168 S1168-AP-0106-01 16.7 35.1 388 121 168

1168 S1168-AP-0612-01 15.4 35.4 422 140 207

1168 S1168-AP-1218-01 9.37 J 49.1 J 447 114 164

1168 S1168-BY-0001-01 8.87 J 42.6 375 222 404

1168 S1168-BY-0106-01 11.1 J 46.7 404 298 362





1168 S1168-BY-0612-01 10.2 40.4 347 170 220

1168 S1168-BY-1218-01 6.48 J 24.2 271 38.4 83

1168 S1168-ED-0001-01 9.73 41.7 578 222 350

1168 S1168-ED-0106-01 8.33 Jk 33.4 364 232 270

1168 S1168-ED-0612-01 8.75 34.7 338 124 166

1168 S1168-ED-1218-01 6.42 J 20.1 284 39.1 82.2

1168 S1168-FY-0001-01 10.2 J 34.6 379 131 222

1168 S1168-FY-0106-01 9.27 JK 45 412 195 244

1168 S1168-FY-0612-01 14.8 40.7 409 237 250

1168 S1168-FY-1218-01 7.27 32.9 J 340 81.2 137

1168 S1168-SYS-0001-01 23.8 51.7 445 208 298

1168 S1168-SYS-0106-01 31 62.2 412 272 322

1168 S1168-SYS-0612-01 32.5 59.7 358 242 246

1168 S1168-SYS-1218-01 19.5 33.2 287 125 178

1182 S1182-BYN-0001-01 8.27 J 55.4 J 714 172 313

1182 S1182-BYN-0106-01 16.1 J 80.2 551 332 456

1182 S1182-BYN-0612-01 16.4 J 66.8 477 359 448

1182 S1182-BYN-1218-01 13 43 456 246 268

1182 S1182-BYS-0001-01 12.7 57.3 474 287 472

1182 S1182-BYS-0106-01 17.1 65.6 513 380 474

1182 S1182-BYS-0612-01 12.3 J 42.6 402 208 209

1182 S1182-BYS-1218-01 9.81 29.1 354 J 73.8 102

1182 S1182-DZ-0001-01 17.4 68.9 577 528 570

1182 S1182-ED-0001-01 8.58 40.7 823 105 237

1182 S1182-ED-0106-01 12.7 80 593 302 468

1182 S1182-ED-0612-01 16 76.9 497 379 417

1182 S1182-ED-1218-01 14.8 51.3 444 274 280

1182 S1182-FY-0001-01 19.3 89.7 496 466 438

1182 S1182-FY-0106-01 18.3 75.4 576 487 344

1182 S1182-FY-0612-01 9.56 37.7 398 144 117

1182 S1182-FY-1218-01 11.7 33.5 363 J 57.2 95

1182 S1182-SYN-0001-01 17.3 70.4 766 431 554

1182 S1182-SYN-0106-01 20.3 83.6 628 523 526

1182 S1182-SYN-0612-01 12.4 43.8 420 225 227

1182 S1182-SYN-1218-01 11.7 36.1 346 J 72.7 114

1190 S1190-APN-0001-01 10.4 27.3 433 141 255

1190 S1190-APN-0106-01 9.94 J 40.2 437 190 306

1190 S1190-APN-0612-01 14.1 42.5 386 J 193 201

1190 S1190-APN-1218-01 11.6 23.8 343 J 90.8 79.3

1190 S1190-APW-0001-01 9.25 32.6 371 J 180 277

1190 S1190-APW-0106-01 11.9 J 46.7 395 J 221 322

1190 S1190-APW-0612-01 10.7 35.6 372 J 123 131

1190 S1190-APW-1218-01 8.58 26.4 316 J 28.8 J 76.1

1190 S1190-BY-0001-01 9.4 35.5 430 J 144 260 J

1190 S1190-BY-0001-02 7.93 31.4 421 J 140 259 J

1190 S1190-BY-0001-03 10.8 31.1 398 J 151 274 J

1190 S1190-BY-0106-01 8.42 J 41.2 404 J 163 255 J

1190 S1190-BY-0106-02 11 36.6 397 J 158 260 J

1190 S1190-BY-0106-03 10.1 43.9 404 J 158 245 J

1190 S1190-BY-0612-01 7.63 34.9 372 J 120 170 J

1190 S1190-BY-0612-02 7.73 30.7 369 J 122 150 J

1190 S1190-BY-0612-03 7.71 38.4 389 J 131 190 J

1190 S1190-BY-1218-01 7.56 J 27.9 361 J 49 95.4 J

1190 S1190-BY-1218-02 8.74 28.5 348 J 51.2 98.3 J

1190 S1190-BY-1218-03 7.18 J 24.3 334 J 44.1 87 J

1190 S1190-DZ-0001-01 16.1 40.2 435 J 424 601 J

1190 S1190-DZ-0106-01 11 47 405 J 318 432 J

1190 S1190-DZ-0612-01 11 32.2 382 J 83.2 105 J

1190 S1190-DZ-1218-01 11 39.2 423 J 166 209 J

1190 S1190-ED-0001-01 8.9 J 36.6 459 J 154 236 J





1190 S1190-ED-0106-01 8.58 32.1 407 J 97.1 120 J

1190 S1190-ED-0612-01 6.79 J 21.1 340 J 27.2 J 68.8 J

1190 S1190-ED-1218-01 5.85 J 24.3 319 J 25.4 J 65.6 J

1190 S1190-FY-0001-01 11.2 J 35.1 394 J 233 408 J

1190 S1190-FY-0106-01 11.6 J 45.6 443 J 212 355 J

1190 S1190-FY-0612-01 9.89 39.5 382 J 149 151 J

1190 S1190-FY-1218-01 10.7 34 350 J 73.8 96.3 J

1190 S1190-SYN-0001-01 8.52 J 37.5 J 367 233 349 J

1190 S1190-SYN-0106-01 12.4 J 37.8 J 403 270 365 J

1190 S1190-SYN-0612-01 8.67 36.4 J 364 98.1 142 J

1190 S1190-SYN-1218-01 8.8 27.3 J 340 J 36.7 91.7 J

1190 S1190-SYS-0001-01 13.4 41.5 J 358 184 382 J

1190 S1190-SYS-0106-01 11 47.9 J 392 194 366 J

1190 S1190-SYS-0612-01 13 39.5 383 J 241 256 J

1190 S1190-SYS-1218-01 9.88 37.1 380 J 134 132 J

1245 S1245-BY-0001-01 16 J 67.3 J 503 J 287 431

1245 S1245-BY-0106-01 18.3 70.5 J 510 J 343 461

1245 S1245-BY-0612-01 16.4 52.1 J 436 J 315 270

1245 S1245-BY-1218-01 10.4 30 J 390 J 75.4 101

1245 S1245-FY-0001-01 13.4 47.2 J 438 J 212 276

1245 S1245-FY-0106-01 12.4 56.8 J 430 J 257 283

1245 S1245-FY-0612-01 15.5 33.1 J 412 J 134 160

1245 S1245-FY-1218-01 11.6 27.5 J 358 J 36.1 69.4 J

1245 S1245-SY-0001-01 17.9 79.8 517 J 328 496

1245 S1245-SY-0106-01 18.8 64.1 J 510 J 399 399

1245 S1245-SY-0612-01 11.5 37.5 J 423 J 180 151

1245 S1245-SY-1218-01 11 27.4 J 358 J 61.3 86.5

1267 S1267-BY-0001-01 17.3 64 509 392 520

1267 S1267-BY-0106-01 18.6 60.8 447 359 446

1267 S1267-BY-0612-01 16.3 J 44.1 421 240 227

1267 S1267-BY-1218-01 9.02 31.5 382 J 113 115

1267 S1267-ED-0001-01 16.8 59.5 600 313 440

1267 S1267-ED-0106-01 19.8 65.7 567 365 432

1267 S1267-ED-0612-01 15 40.4 449 182 183

1267 S1267-ED-1218-01 13.9 26.2 360 J 47.6 J 67 J

1267 S1267-FY-0001-01 19 63.6 498 432 496

1267 S1267-FY-0106-01 22 67 520 448 408

1267 S1267-FY-0612-01 18.1 51.8 390 J 260 211

1267 S1267-FY-1218-01 11.3 37.6 366 J 104 103

1267 S1267-SYN-0001-01 13.6 J 54.3 509 345 460

1267 S1267-SYN-0106-01 16.5 54 461 389 394

1267 S1267-SYN-0612-01 15.7 38.9 J 461 259 249

1267 S1267-SYN-1218-01 11 38.6 390 J 145 153

1267 S1267-SYS-0001-01 23 67.8 545 495 654

1267 S1267-SYS-0106-01 20.8 J 72.5 531 519 609

1267 S1267-SYS-0612-01 19.5 49.7 458 339 433

1267 S1267-SYS-1218-01 13.2 32 363 J 113 131

1292 S1292-AP-0001-01 17.4 44.9 416 J 336 309

1292 S1292-AP-0106-01 18.1 45.3 453 J 312 212

1292 S1292-AP-0612-01 16.2 32.8 347 J 130 77.6

1292 S1292-AP-1218-01 13.1 27.3 306 J 137 69.9 J

1292 S1292-BY-0001-01 13.4 J 63.8 473 J 388 430

1292 S1292-BY-0106-01 20.8 65.6 478 J 424 367

1292 S1292-BY-0612-01 19.4 43.8 378 J 240 203

1292 S1292-BY-1218-01 13.9 25.5 407 J 100 99.5

1292 S1292-DZ-0001-01 17.8 60.2 485 J 310 415

1292 S1292-DZ-0106-01 14.4 61.7 493 J 366 411

1292 S1292-DZ-0612-01 12.9 50.5 413 J 201 207

1292 S1292-DZ-1218-01 10.7 28.7 322 J 53 76.9

1292 S1292-ED-0001-01 10.2 J 49.3 513 J 280 332





1292 S1292-ED-0106-01 14 J 54.9 415 J 338 338

1292 S1292-ED-0612-01 10.2 36.9 387 J 201 167

1292 S1292-ED-1218-01 9.71 30.5 362 J 89.4 104

1292 S1292-FY-0001-01 20 61 526 440 437

1292 S1292-FY-0001-02 15.8 58.5 515 398 429

1292 S1292-FY-0001-03 14.7 61.5 564 422 419

1292 S1292-FY-0106-01 22.7 72.4 549 528 464

1292 S1292-FY-0106-02 27.3 76.5 464 524 468

1292 S1292-FY-0106-03 14.3 J 69.2 479 482 415

1292 S1292-FY-0612-01 15.5 77 502 466 572

1292 S1292-FY-0612-02 26.4 68.9 439 J 532 363

1292 S1292-FY-0612-03 22.6 57.1 414 J 411 262

1292 S1292-FY-1218-01 20.3 39.2 402 J 229 142

1292 S1292-FY-1218-02 16.3 J 38.3 373 J 232 140

1292 S1292-FY-1218-03 17.4 36.7 343 J 159 104

1292 S1292-SYN-0001-01 25.9 54.8 419 J 399 316

1292 S1292-SYN-0106-01 24.2 J 95.2 509 565 632

1292 S1292-SYN-0612-01 33.3 83.9 532 666 494

1292 S1292-SYN-1218-01 19 41.7 390 J 363 153

1292 S1292-SYS-0001-01 14.4 56 460 331 503

1292 S1292-SYS-0106-01 19.5 67 468 412 436

1292 S1292-SYS-0612-01 19.7 50.1 383 J 313 275

1292 S1292-SYS-1218-01 10.1 J 27.6 276 J 59 75.7

1293 S1293-AP-0001-01 14.5 J 46.6 J 451 J 264 401

1293 S1293-AP-0106-01 20.7 54.8 J 502 J 328 310

1293 S1293-AP-0612-01 15.5 33.2 J 366 J 146 112

1293 S1293-AP-1218-01 11.9 28 J 333 J 68.5 68.3 J

1293 S1293-BY-0001-01 15.4 J 58.8 444 384 520

1293 S1293-BY-0106-01 16.5 J 68 510 437 541

1293 S1293-BY-0612-01 20.8 74.2 471 428 463

1293 S1293-BY-1218-01 17.7 62.9 443 388 375

1293 S1293-DZ-0001-01 16.7 65.2 524 402 544

1293 S1293-FY-0001-01 17.1 J 68.1 502 388 523

1293 S1293-FY-0106-01 16.5 J 79 555 460 575

1293 S1293-FY-0612-01 30.5 91 504 616 542

1293 S1293-FY-1218-01 30.3 88.2 534 636 478

1293 S1293-SY-0001-01 14.5 61.7 467 363 601

1293 S1293-SY-0106-01 15.2 J 58.1 458 402 396

1293 S1293-SY-0612-01 17.7 80.5 408 J 299 285

1293 S1293-SY-1218-01 19.1 42.9 352 J 233 205

1307 S1307-AP-0001-01 12.5 47.4 569 J 218 363

1307 S1307-AP-0106-01 13.2 49.7 479 J 263 391

1307 S1307-AP-0612-01 17.7 52 532 J 287 418

1307 S1307-AP-1218-01 22.5 J 61.7 555 J 368 400

1307 S1307-BY-0001-01 15.6 J 88.7 633 521 750

1307 S1307-BY-0106-01 20.7 J 109 658 630 830

1307 S1307-BY-0612-01 28.2 127 671 921 829

1307 S1307-BY-1218-01 30.1 123 903 1670 J 1020

1307 S1307-DZ-0001-01 16.4 J 72.9 584 386 640

1307 S1307-DZ-0106-01 17.2 55.7 535 284 461

1307 S1307-DZ-0612-01 12.6 46.9 473 J 196 351

1307 S1307-DZ-1218-01 16.9 39 402 J 112 230

1307 S1307-FY-0001-01 14.2 56.5 469 J 215 388

1307 S1307-FY-0106-01 18.6 57.6 456 J 218 392

1307 S1307-FY-0612-01 18.4 55.8 457 J 196 328

1307 S1307-FY-1218-01 13.4 36.9 363 J 83.7 137

1307 S1307-GA-0001-01 35.2 100 605 963 995

1307 S1307-GA-0106-01 15.3 J 118 589 J 1240 884

1307 S1307-GA-0612-01 29 J 143 742 1620 J 1130

1307 S1307-GA-1218-01 61.4 139 768 2430 J 1540





1307 S1307-SY-0001-01 18.5 74.4 538 384 622

1307 S1307-SY-0106-01 20.1 J 81.5 601 452 651

1307 S1307-SY-0612-01 45.8 153 653 692 648

1307 S1307-SY-1218-01 58.3 75.9 561 444 403

1310 S1310-AP-0001-01 8.92 34.1 J 459 134 247

1310 S1310-AP-0106-01 7.02 J 27.5 J 403 122 154

1310 S1310-AP-0612-01 10.8 45.4 J 510 201 283

1310 S1310-AP-1218-01 12.5 56.8 J 632 293 366

1310 S1310-BY-0001-01 59 J 80.9 J 494 280 567

1310 S1310-BY-0106-01 78.6 72.6 J 489 245 400

1310 S1310-BY-0612-01 80.8 58.7 J 504 213 302

1310 S1310-BY-1218-01 48 40.1 J 425 103 173

1310 S1310-DZ-0001-01 35.7 83.7 J 583 278 649

1310 S1310-DZ-0106-01 59.7 80.5 J 499 271 404

1310 S1310-DZ-0612-01 67.4 66.7 J 494 218 337

1310 S1310-DZ-1218-01 23.2 41 J 499 132 233

1310 S1310-ED-0001-01 16.1 54.1 J 481 159 434

1310 S1310-ED-0106-01 32.9 56.5 J 444 209 372

1310 S1310-ED-0612-01 14.4 54 J 491 207 282

1310 S1310-ED-1218-01 13.8 68.5 J 581 J 230 258

1310 S1310-FY-0001-01 22.5 55.6 J 454 188 419

1310 S1310-FY-0106-01 45.4 62.2 J 462 209 346

1310 S1310-FY-0612-01 32.3 43.9 J 430 137 236

1310 S1310-FY-1218-01 35.8 46.7 J 498 148 245

1310 S1310-GA-0001-01 50.1 75 J 546 297 602

1310 S1310-GA-0106-01 86.1 70.9 J 485 240 394

1310 S1310-GA-0612-01 81.7 57.4 J 508 214 389

1310 S1310-GA-1218-01 34.8 36.7 J 411 95 154

1310 S1310-SY-0001-01 41.2 90.8 J 523 283 540

1310 S1310-SY-0106-01 52.2 63.2 J 463 217 333

1310 S1310-SY-0612-01 62.4 58.1 J 433 215 289

1310 S1310-SY-1218-01 35.4 46.4 J 428 130 225

1337 S1337-BY-0001-01 13.3 72.1 J 523 282 559

1337 S1337-BY-0106-01 11.1 71.8 J 566 334 540

1337 S1337-BY-0612-01 18.7 J 83.5 J 667 452 608

1337 S1337-BY-1218-01 14 74.1 J 619 278 926

1337 S1337-DZ-0001-01 17.3 J 71.7 J 580 351 553

1337 S1337-DZ-0106-01 16.9 J 84.8 594 406 627

1337 S1337-DZ-0612-01 13.2 60.7 J 478 242 380

1337 S1337-DZ-1218-01 10.8 31.7 J 287 J 43.5 84

1337 S1337-FY-0001-01 12.8 67.3 J 538 262 447

1337 S1337-FY-0106-01 19.4 75.4 J 589 311 483

1337 S1337-FY-0612-01 15.1 66.4 J 532 267 350

1337 S1337-FY-1218-01 11.7 32.6 J 327 J 56.6 93.8

1345 S1345-AP-0001-01 17.6 J 75.1 537 299 425

1345 S1345-AP-0106-01 17.8 56.2 463 228 357

1345 S1345-AP-0612-01 14.5 45.6 432 154 232

1345 S1345-AP-1218-01 17.2 40.5 416 J 165 157

1345 S1345-BY-0001-01 19.6 J 94 864 401 772

1345 S1345-BY-0106-01 14 J 93.7 632 344 609

1345 S1345-BY-0612-01 18.3 J 91 604 365 697

1345 S1345-BY-1218-01 23.7 116 701 608 1020

1345 S1345-ED-0001-01 8.72 37.3 395 J 127 238

1345 S1345-ED-0106-01 9.84 48.5 396 J 156 270

1345 S1345-ED-0612-01 10.7 38.8 401 J 119 179

1345 S1345-ED-1218-01 16.2 J 51.1 552 250 309

1345 S1345-FY-0001-01 14.5 J 69.4 560 261 487

1345 S1345-FY-0106-01 16.1 63.9 551 316 513

1345 S1345-FY-0612-01 18.6 J 53 457 232 J 251

1345 S1345-FY-1218-01 15 31.1 J 364 J 83.9 125





1345 S1345-GA-0001-01 11.1 J 32.6 J 298 J 53.4 167 J

1345 S1345-GA-0106-01 9.02 45.9 383 J 143 336

1345 S1345-GA-0612-01 8.77 58.9 471 199 400

1345 S1345-GA-1218-01 15.3 J 78.4 614 355 603

1345 S1345-SY-0001-01 14.1 59.1 665 241 456

1345 S1345-SY-0106-01 15.7 60.6 568 333 438

1345 S1345-SY-0612-01 15.6 J 74 579 467 485

1345 S1345-SY-1218-01 27.4 70.8 727 376 467

1403 S1403-BY-0001-01 13.8 J 52.5 J 572 217 454

1403 S1403-BY-0106-01 18.3 66.4 J 716 285 600

1403 S1403-BY-0612-01 15.7 56.4 J 541 205 369

1403 S1403-BY-1218-01 13.4 29.9 J 390 48.8 117

1403 S1403-DZ-0001-01 16.8 51.5 693 283 562

1403 S1403-DZ-0106-01 17.5 69.5 635 392 640

1403 S1403-DZ-0612-01 12.5 52.5 J 519 162 266

1403 S1403-DZ-1218-01 11.2 26.8 376 40.1 96.1

1403 S1403-FY-0001-01 16.5 77.1 703 361 751

1403 S1403-FY-0106-01 20.1 86.2 708 318 617

1403 S1403-FY-0612-01 11.4 39.1 487 100 168

1403 S1403-FY-1218-01 8.37 27.8 J 357 29.3 J 84.2

1403 S1403-SYN-0001-01 12.6 63.9 695 335 729

1403 S1403-SYN-0106-01 15.4 J 74.1 751 374 729

1403 S1403-SYN-0612-01 12.9 39.7 481 124 248

1403 S1403-SYN-1218-01 11.5 23.1 J 397 36.6 101

1403 S1403-SYS-0001-01 13.6 42.8 519 217 455

1403 S1403-SYS-0106-01 17 J 64.8 701 344 708

1403 S1403-SYS-0612-01 14.9 52.4 589 228 440

1403 S1403-SYS-1218-01 10.7 36.3 460 113 242

1428 S1428-AP-0001-01 15 J 66.6 763 402 721

1428 S1428-AP-0106-01 20 J 95.6 924 415 817

1428 S1428-AP-0612-01 9.63 JK 43.5 J 507 J 133 165

1428 S1428-AP-1218-01 8.62 23.5 J 348 J 26.3 J 71.5 J

1428 S1428-BY-0001-01 14 82.4 657 266 612

1428 S1428-BY-0106-01 11.6 J 87.3 686 280 631

1428 S1428-BY-0612-01 9.64 J 68.6 613 253 418

1428 S1428-BY-1218-01 10.6 43.1 J 534 116 218

1428 S1428-ED-0001-01 8.18 JK 61.6 1520 J 162 606

1428 S1428-ED-0106-01 11.2 62.3 1000 212 529

1428 S1428-ED-0612-01 11.2 59.5 583 175 409

1428 S1428-ED-1218-01 9.32 J 38.8 J 425 J 36 138 J

1428 S1428-FY-0001-01 7.17 J 39.7 J 657 123 351

1428 S1428-FY-0106-01 14.6 62.3 586 225 352

1428 S1428-FY-0612-01 9.23 27.2 J 445 J 69.8 116

1428 S1428-FY-1218-01 9.57 18.7 J 326 J 22.8 J 66.5 J

1429 S1429-BY-0001-01 9.48 51.6 564 178 466

1429 S1429-BY-0106-01 15.2 80 664 274 582

1429 S1429-BY-0612-01 13.3 66.1 659 241 465

1429 S1429-BY-1218-01 10.5 J 50.7 552 143 303

1429 S1429-DZ-0001-01 13.5 62.1 692 333 714

1429 S1429-DZ-0106-01 17.1 J 76.1 707 399 808

1429 S1429-DZ-0612-01 13.9 64 653 276 529

1429 S1429-DZ-1218-01 12.3 29.4 400 65 144

1429 S1429-FY-0001-01 12.2 66.4 683 269 627

1429 S1429-FY-0106-01 14.3 84.9 789 388 792

1429 S1429-FY-0612-01 11.6 70.7 570 227 405

1429 S1429-FY-1218-01 8.5 23.7 353 32.5 J 81.7

1443 S1443-BY-0001-01 16.9 80.6 734 J 302 615

1443 S1443-BY-0106-01 20.5 83.1 749 J 357 732

1443 S1443-BY-0612-01 18.6 63.7 923 J 319 514

1443 S1443-DZ-0001-01 19.7 J 91.4 760 J 537 1240





1443 S1443-DZ-0106-01 31.4 117 914 J 759 1690

1443 S1443-DZ-0612-01 32.1 100 971 J 648 1250

1443 S1443-DZ-1218-01 18.2 47.6 953 J 304 214

1443 S1443-FY-0001-01 16.9 65.7 682 J 417 820

1443 S1443-FY-0106-01 23.8 73.7 812 J 442 803

1443 S1443-FY-0612-01 15.5 52.1 775 J 243 307

1490 S1490-DZ-0001-01 13.7 63.3 J 652 299 618 J

1490 S1490-DZ-0106-01 15.3 66.5 J 647 313 586 J

1490 S1490-DZ-0612-01 14.6 J 56.7 J 525 249 327 J

1490 S1490-DZ-1218-01 13.2 34.4 J 385 87 132 J

1490 S1490-FY-0001-01 16.4 J 78.5 593 296 595 J

1490 S1490-FY-0106-01 18.3 79.6 579 326 552 J

1490 S1490-FY-0612-01 21.2 67.9 J 559 337 456 J

1490 S1490-FY-1218-01 16.7 J 49 J 448 170 244 J

1552 S1552-AP-0001-01 19.9 93.3 811 453 825

1552 S1552-AP-0106-01 28.7 90.5 927 385 672

1552 S1552-AP-0612-01 30.1 48.9 641 321 281

1552 S1552-AP-1218-01 8.8 25.8 320 46.1 96.2

1552 S1552-BY-0001-01 25.5 90.9 753 420 786

1552 S1552-BY-0106-01 31.6 112 831 552 917

1552 S1552-BY-0612-01 29.6 78.5 696 383 438

1552 S1552-BY-1218-01 22.4 57.9 549 244 303

1552 S1552-DZ-0001-01 29.7 119 894 597 1020

1552 S1552-DZ-0106-01 30.6 82.3 680 411 535

1552 S1552-DZ-0612-01 20.2 35.2 433 137 138

1552 S1552-DZ-1218-01 12.2 30.4 426 149 106

1552 S1552-FY-0001-01 20.7 85.5 800 441 774

1552 S1552-FY-0001-02 19.1 88 849 504 871

1552 S1552-FY-0001-03 19.2 93.3 980 475 864

1552 S1552-FY-0106-01 24.8 85.2 760 436 688

1552 S1552-FY-0106-02 23.1 85.9 813 428 711

1552 S1552-FY-0106-03 21 70.1 655 349 538

1552 S1552-FY-0612-01 18.3 47.3 485 168 235

1552 S1552-FY-0612-02 18.8 52.5 528 192 284

1552 S1552-FY-0612-03 15.5 39.1 445 138 215

1552 S1552-FY-1218-01 14.1 36.7 401 100 157

1552 S1552-FY-1218-02 12.8 29.2 348 44.3 102

1552 S1552-FY-1218-03 10.3 26.3 352 48.6 102

1555 S1555-BY-0001-01 27.6 105 1070 565 1000

1555 S1555-BY-0106-01 37.6 114 853 546 809

1555 S1555-BY-0612-01 21 48.1 506 J 218 180

1555 S1555-BY-1218-01 14.3 38.7 412 J 83.3 106

1555 S1555-FY-0001-01 28.6 98.2 924 537 877

1555 S1555-FY-0106-01 43.6 106 821 687 767

1555 S1555-FY-0612-01 23.3 52.2 486 J 201 212

1555 S1555-FY-1218-01 18 36.1 379 J 86.3 129

1556 S1556-AP-0001-01 15.3 60 760 261 526

1556 S1556-AP-0106-01 24 60.4 631 319 413

1556 S1556-AP-0612-01 16 37.9 J 402 J 135 144

1556 S1556-AP-1218-01 11.3 20.7 J 375 J 36.6 77.4

1556 S1556-BY-0001-01 24.2 J 83.2 847 403 769

1556 S1556-BY-0106-01 35 100 729 504 639

1556 S1556-BY-0612-01 24.6 65.5 563 J 321 372

1556 S1556-BY-1218-01 13.9 42.1 J 414 J 113 153

1556 S1556-FG-0001-01 13.4 47.2 J 651 235 585

1556 S1556-FG-0106-01 12.7 J 58.5 755 265 671

1556 S1556-FG-0612-01 27.4 82.6 807 448 815

1556 S1556-FG-1218-01 23.7 63.9 577 J 346 467

1556 S1556-FY-0001-01 22 70.3 703 371 631

1556 S1556-FY-0106-01 22.9 J 73.3 653 403 440





1556 S1556-FY-0612-01 19.9 43.3 J 439 J 183 161

1556 S1556-FY-1218-01 18.4 29.9 J 337 J 51.2 72.2

1558 S1558-AP-0001-01 15.6 60.4 661 308 523

1558 S1558-AP-0106-01 24.6 70.7 622 363 540

1558 S1558-AP-0612-01 23.4 50.9 456 216 301

1558 S1558-AP-1218-01 16 38.9 367 J 140 204

1558 S1558-BY-0001-01 28.7 93.8 698 514 759

1558 S1558-BY-0106-01 34.7 J 103 831 623 832

1558 S1558-BY-0612-01 46.1 113 788 687 686

1558 S1558-BY-1218-01 18 54.4 503 596 190

1558 S1558-DZ-0001-01 31.3 82 1000 686 1250

1558 S1558-DZ-0106-01 26.7 82.3 841 676 1100

1558 S1558-DZ-0612-01 15.4 42.2 464 200 213

1558 S1558-DZ-1218-01 11.7 27.9 397 J 50.4 100

1558 S1558-ED-0001-01 26.2 106 855 544 1150

1558 S1558-FY-0001-01 25.2 83.7 764 562 957

1558 S1558-FY-0106-01 27 74.9 614 445 628

1558 S1558-FY-0612-01 17 41.9 501 195 292

1558 S1558-FY-1218-01 12 32.6 396 J 116 180

1578 S1578-AP-0001-01 37.3 106 J 899 593 948

1578 S1578-AP-0106-01 56.1 133 J 1090 810 1150

1578 S1578-AP-0612-01 49.9 120 J 870 722 753

1578 S1578-AP-1218-01 43.8 86.1 J 659 448 354

1578 S1578-BY-0001-01 34.8 114 J 885 627 754

1578 S1578-BY-0106-01 37.1 139 J 943 680 1010

1578 S1578-BY-0612-01 28.9 120 J 968 537 978

1578 S1578-BY-1218-01 27.3 96.8 J 665 480 453

1578 S1578-FY-0001-01 34.7 93.7 J 1010 559 1010

1578 S1578-FY-0106-01 42 148 J 1250 785 1460

1578 S1578-FY-0612-01 56.8 216 J 1270 1040 1460

1578 S1578-FY-1218-01 30.5 102 J 738 478 504

1581 S1581-AP-0001-01 16 105 1140 320 771

1581 S1581-AP-0106-01 34.1 148 1060 580 1180

1581 S1581-AP-0612-01 35.2 122 795 502 696

1581 S1581-AP-1218-01 26.3 83.8 663 334 375

1581 S1581-BY-0001-01 23.5 122 1090 663 1200

1581 S1581-BY-0106-01 36.8 150 1360 860 1620

1581 S1581-BY-0612-01 27.3 J 150 918 743 1130

1581 S1581-BY-1218-01 30.2 114 820 588 601

1581 S1581-FY-0001-01 30 131 1420 J 674 1490

1581 S1581-FY-0106-01 41.3 163 1440 J 795 1550

1581 S1581-FY-0612-01 45 147 967 708 947

1581 S1581-FY-1218-01 29.4 97.5 711 465 509

1581 S1581-GA-0001-01 22.4 102 966 534 1090

1581 S1581-GA-0106-01 26.7 125 1030 627 1340

1581 S1581-GA-0612-01 25.1 101 851 539 821

1581 S1581-GA-1218-01 20.4 81 606 388 486

1598 S1598-AP-0001-01 27.3 80 689 493 564

1598 S1598-AP-0106-01 39.8 105 723 545 615

1598 S1598-AP-0612-01 34.8 78 625 431 434

1598 S1598-AP-1218-01 28.2 47.6 447 224 235

1598 S1598-BY-0001-01 20.5 68.5 668 348 646

1598 S1598-BY-0001-02 15.5 59 543 303 569

1598 S1598-BY-0001-03 16 J 58.1 503 323 586

1598 S1598-BY-0106-01 28.5 91.1 706 517 837

1598 S1598-BY-0106-02 23.6 J 80 664 522 774

1598 S1598-BY-0106-03 26.8 90.2 670 500 819

1598 S1598-BY-0612-01 25.8 92.6 740 592 827

1598 S1598-BY-0612-02 32.8 104 838 685 884

1598 S1598-BY-0612-03 36.4 101 795 708 874





1598 S1598-BY-1218-01 34.3 85 654 449 491

1598 S1598-BY-1218-02 36.5 86 643 499 484

1598 S1598-BY-1218-03 39.6 112 793 628 702

1598 S1598-ED-0001-01 22.1 J 74.4 721 472 833

1598 S1598-ED-0106-01 22.6 78.8 684 632 779

1598 S1598-ED-0612-01 31.2 86 658 522 549

1598 S1598-ED-1218-01 31.8 85.7 627 455 504

1598 S1598-FY-0001-01 34.2 78.3 843 754 784

1598 S1598-FY-0106-01 55.9 111 779 1030 721

1598 S1598-FY-0612-01 35.6 61.3 533 J 518 217

1598 S1598-FY-1218-01 16.5 22.4 J 449 J 32.6 J 78.7

1598 S1598-SYS-0001-01 28.2 95 1010 578 1090

1598 S1598-SYS-0106-01 31.8 103 1040 616 956

1598 S1598-SYS-0612-01 37.2 87.5 715 575 584

1598 S1598-SYS-1218-01 28.3 61.9 575 J 337 350

1620 S1620-AP-0001-01 36.9 103 937 454 748

1620 S1620-AP-0106-01 55.3 139 983 675 778

1620 S1620-AP-0612-01 35 82.6 616 315 286

1620 S1620-AP-1218-01 27.4 68.8 635 313 218

1620 S1620-BY-0001-01 11.4 40.8 408 J 90.5 279

1620 S1620-BY-0106-01 10.5 35.3 228 J 47.6 149

1620 S1620-BY-0612-01 11.7 35.2 185 J 25 J 138

1620 S1620-BY-1218-01 11.8 34.9 179 J 24.6 J 132

1620 S1620-DZ-0001-01 18.1 J 71.3 846 358 1110

1620 S1620-DZ-0106-01 18 65 608 305 562

1620 S1620-DZ-0612-01 22.7 87.6 725 370 377

1620 S1620-DZ-1218-01 15.9 49.4 527 204 177

1620 S1620-FY-0001-01 10.5 57.5 685 227 746

1620 S1620-FY-0106-01 10.9 64.6 513 219 795

1620 S1620-FY-0612-01 21.3 84 779 434 658

1620 S1620-FY-1218-01 20.3 59.2 600 274 289

1620 S1620-SYW-0001-01 13.9 49.8 424 J 151 387

1620 S1620-SYW-0001-02 13.8 49.6 443 J 161 399

1620 S1620-SYW-0001-03 13.3 49 420 J 134 366

1620 S1620-SYW-0106-01 11.7 40.3 285 J 111 275

1620 S1620-SYW-0106-02 13 50.3 J 353 J 145 292

1620 S1620-SYW-0106-03 15.8 46.4 322 J 135 286

1620 S1620-SYW-0612-01 11.9 34.8 237 J 56.7 162

1620 S1620-SYW-0612-02 15.1 40.1 354 J 118 169

1620 S1620-SYW-0612-03 14.5 41.2 277 J 81.3 150

1620 S1620-SYW-1218-01 24.3 32.9 246 J 49.2 138

1620 S1620-SYW-1218-02 14.5 31.6 255 J 66.3 145

1620 S1620-SYW-1218-03 17.2 37.5 290 J 106 113

1630 S1630-AP-0001-01 14.9 56.4 669 260 473

1630 S1630-AP-0106-01 26.8 72.6 651 402 562

1630 S1630-AP-0612-01 29.7 71 602 J 305 486

1630 S1630-AP-1218-01 15.8 31.7 419 J 68.8 145

1630 S1630-BY-0001-01 22.9 62.5 527 J 388 678

1630 S1630-BY-0106-01 36.7 99.9 662 J 567 779

1630 S1630-BY-0612-01 28.4 J 76.2 527 J 420 486

1630 S1630-BY-1218-01 21.4 61.7 449 J 321 303

1630 S1630-FY-0001-01 17 68.8 738 J 439 735

1630 S1630-FY-0106-01 39.7 126 780 J 713 871

1630 S1630-FY-0612-01 25.9 81.5 546 J 409 382

1630 S1630-FY-1218-01 18.6 43.3 407 J 148 163

1644 S1644-BY-0001-01 18.9 52 543 J 158 406

1644 S1644-BY-0106-01 18.8 52.7 435 J 117 281

1644 S1644-BY-0612-01 20.9 35.3 335 J 44.2 114

1644 S1644-BY-1218-01 14.2 25.3 362 J 27.1 J 74

1644 S1644-FY-0001-01 54.5 59.8 636 J 294 512





1644 S1644-FY-0106-01 81.9 66.4 455 J 240 353

1644 S1644-FY-0612-01 58.6 33.4 387 J 75.5 130

1644 S1644-FY-1218-01 59.4 26.5 352 J 28.4 J 79.3

1644 S1644-SYN-0001-01 28.2 54.4 609 J 264 620

1644 S1644-SYN-0106-01 41 58.8 527 J 291 411

1644 S1644-SYN-0612-01 45.7 32.5 365 J 76.2 136

1644 S1644-SYN-1218-01 27.4 22.3 352 J 22.9 J 75.2

1644 S1644-SYS-0001-01 61.3 73.5 648 324 780

1644 S1644-SYS-0106-01 134 98.8 627 623 601

1644 S1644-SYS-0612-01 142 95.5 520 583 424

1644 S1644-SYS-1218-01 67.9 29.6 368 37.9 86.8

1648 S1648-BY-0001-01 26.4 118 1040 465 1250

1648 S1648-BY-0106-01 16.9 76.1 533 274 501

1648 S1648-BY-0612-01 12.6 31.1 393 J 77.6 116

1648 S1648-BY-1218-01 13.6 31.8 418 110 127

1648 S1648-FY-0001-01 28.7 114 895 503 931

1648 S1648-FY-0106-01 24.5 96.2 649 384 689

1648 S1648-FY-0612-01 13.7 37.5 379 J 117 128

1648 S1648-FY-1218-01 17.9 25.6 416 84.6 79.8

1648 S1648-SYS-0001-01 25.8 J 124 886 470 1220

1648 S1648-SYS-0106-01 17.8 69.2 477 190 394

1648 S1648-SYS-0612-01 18.6 33.4 369 J 69.2 112

1648 S1648-SYS-1218-01 24.3 32.4 389 J 58.2 84

1657 S1657-BY-0001-01 33.5 64.6 560 470 462

1657 S1657-BY-0106-01 78.3 110 588 1070 593

1657 S1657-BY-0612-01 56.5 54.9 J 429 J 486 223

1657 S1657-BY-1218-01 34.4 28.7 J 375 J 54 72.4

1657 S1657-FY-0001-01 23 55.4 J 539 333 406

1657 S1657-FY-0106-01 31.8 58.4 J 452 J 333 339

1657 S1657-FY-0612-01 46.3 66.3 467 J 382 278

1657 S1657-FY-1218-01 18.7 28.6 J 398 J 105 97.2

1657 S1657-GA-0001-01 37.4 77.1 658 605 616

1657 S1657-GA-0106-01 93.5 139 782 1120 760

1657 S1657-GA-0612-01 98.5 104 603 988 465

1657 S1657-GA-1218-01 53.2 42.3 J 449 J 257 185

1657 S1657-SYN-0001-01 45.7 85.3 629 637 578

1657 S1657-SYN-0106-01 87.4 112 616 1080 577

1657 S1657-SYN-0612-01 54.9 68.6 540 513 380

1657 S1657-SYN-1218-01 65.7 85.2 579 737 440

1657 S1657-SYS-0001-01 29 61.1 J 518 378 453

1657 S1657-SYS-0106-01 66.1 80.3 504 J 626 476

1657 S1657-SYS-0612-01 79.2 105 617 900 607

1657 S1657-SYS-1218-01 59.5 81.9 576 625 423

1737 S1737-AP-0001-01 21.9 65.6 651 223 536

1737 S1737-AP-0106-01 21.7 57.1 527 165 345

1737 S1737-AP-0612-01 10.1 38.4 390 81.9 137

1737 S1737-AP-1218-01 7.16 31 332 28.6 82.3

1737 S1737-BY-0001-01 38.1 76 652 285 749

1737 S1737-BY-0106-01 37.1 86 662 288 738

1737 S1737-BY-0612-01 23.5 78.9 670 269 668

1737 S1737-BY-1218-01 18 79.6 774 216 526

1737 S1737-FG-0001-01 19 105 836 372 905

1737 S1737-FG-0106-01 17.8 104 897 382 842

1737 S1737-FG-0612-01 16.7 72.4 685 265 529

1737 S1737-FG-1218-01 8.62 44 459 127 301

1737 S1737-FY-0001-01 44 83.4 835 358 889

1737 S1737-FY-0106-01 58.6 93.9 818 338 832

1737 S1737-FY-0612-01 25.1 54.3 551 126 282

1737 S1737-FY-1218-01 7.88 25.4 352 30 86.9

1737 S1737-GA-0001-01 13.9 75.2 734 287 826





1737 S1737-GA-0106-01 14.9 65.2 649 273 613

1737 S1737-GA-0612-01 11.1 59.4 519 197 324

1737 S1737-GA-1218-01 7.23 40.1 459 151 230

1737 S1737-SYN-0001-01 20.8 81.2 795 377 866

1737 S1737-SYN-0106-01 42.7 104 903 427 1020

1737 S1737-SYN-0612-01 30.2 87.1 738 296 650

1737 S1737-SYN-1218-01 14.4 42.7 452 107 227

1737 S1737-SYS-0001-01 17.6 68.1 696 250 611

1737 S1737-SYS-0106-01 26.4 84.5 844 309 774

1737 S1737-SYS-0612-01 15.8 72.3 795 252 480

1737 S1737-SYS-1218-01 9.58 40.7 504 108 184

1804 S1804-BY-0001-01 19.6 74.5 682 J 351 850

1804 S1804-BY-0106-01 18.8 112 759 J 397 896

1804 S1804-BY-0612-01 12.1 J 74.1 569 J 234 485

1804 S1804-BY-1218-01 8.24 J 37.9 369 J 89.2 199

1804 S1804-FY-0001-01 27.7 93.3 876 J 419 1010

1804 S1804-FY-0106-01 25.9 108 841 J 401 974

1804 S1804-FY-0612-01 15.4 64.1 560 J 174 377

1804 S1804-FY-1218-01 8.8 30.3 399 J 55.4 149

1804 S1804-SYN-0001-01 21.6 72.1 732 J 402 890

1804 S1804-SYN-0001-02 25.8 79.2 797 J 376 910

1804 S1804-SYN-0001-03 21.2 76.7 766 J 411 929

1804 S1804-SYN-0106-01 19.9 J 94.1 817 J 425 868

1804 S1804-SYN-0106-02 22.5 90.5 868 J 386 829

1804 S1804-SYN-0106-03 21.3 97.4 827 J 430 882

1804 S1804-SYN-0612-01 13 58.5 583 J 164 315

1804 S1804-SYN-0612-02 11.4 57 555 J 171 322

1804 S1804-SYN-0612-03 11.1 63.3 551 J 164 331

1804 S1804-SYN-1218-01 8.81 31.7 356 J 68 156

1804 S1804-SYN-1218-02 10.2 33.4 363 J 69.4 177

1804 S1804-SYN-1218-03 9.29 J 28.2 328 J 62.2 150

1807 S1807-APE-0001-01 19.5 47.8 505 150 332

1807 S1807-APE-0106-01 17.9 48.7 469 147 280

1807 S1807-APE-0612-01 10.5 35.8 385 J 36.7 95.9

1807 S1807-APE-1218-01 5.5 J 25.1 312 J 24.5 J 64.2 J

1807 S1807-APN-0001-01 7.55 47.3 584 126 314

1807 S1807-APN-0106-01 8.83 J 43.8 463 152 J 213

1807 S1807-APN-0612-01 5.96 J 28.9 374 J 53.9 82

1807 S1807-APN-1218-01 5.52 J 25.7 317 J 38.8 63.9 J

1807 S1807-BY-0001-01 17.2 108 777 333 850

1807 S1807-BY-0106-01 20.4 130 869 368 893

1807 S1807-BY-0612-01 12.4 87.9 629 215 460

1807 S1807-BY-1218-01 7.86 33.6 425 J 57.5 128

1807 S1807-DZ-0001-01 14.6 60.1 649 234 579

1807 S1807-DZ-0106-01 11.2 63 618 314 643

1807 S1807-DZ-0612-01 11.3 49.5 479 128 276

1807 S1807-DZ-1218-01 7.9 32.7 372 J 47.3 117

1807 S1807-FY-0001-01 19.4 J 119 851 390 1050

1807 S1807-FY-0001-02 23.1 J 111 861 439 1150

1807 S1807-FY-0001-03 22.3 120 890 422 1140

1807 S1807-FY-0106-01 24.7 127 942 406 1070

1807 S1807-FY-0106-02 23.2 130 950 443 1150

1807 S1807-FY-0106-03 21 122 924 422 1070

1807 S1807-FY-0612-01 12.2 69.3 J 559 J 158 330

1807 S1807-FY-0612-02 15.3 83.8 687 226 488

1807 S1807-FY-0612-03 13.1 75.8 610 208 437

1807 S1807-FY-1218-01 9.92 32.5 J 427 J 57.2 141

1807 S1807-FY-1218-02 9.41 38.5 J 412 J 73.1 174

1807 S1807-FY-1218-03 10.3 33.1 J 415 J 59.8 156

1807 S1807-GA-0001-01 15.3 79.6 694 265 593





1807 S1807-GA-0106-01 12.9 J 70.9 J 626 217 476

1807 S1807-GA-0612-01 9.04 34.7 J 417 J 50.7 121

1807 S1807-GA-1218-01 7.12 J 19.6 J 404 J 35.1 J 84.6

1807 S1807-SY-0001-01 19.8 116 881 364 1020

1807 S1807-SY-0106-01 20.3 122 909 367 913

1807 S1807-SY-0612-01 12.1 J 63.5 J 578 211 310

1807 S1807-SY-1218-01 8.65 34 J 398 J 61.8 132

1815 S1815-BY-0001-01 15.7 112 730 J 383 920

1815 S1815-BY-0106-01 19.5 116 720 429 960

1815 S1815-BY-0612-01 15.2 92.1 711 391 792

1815 S1815-BY-1218-01 11.1 J 64.9 501 J 205 454

1815 S1815-ED-0001-01 15.1 J 103 861 439 1050

1815 S1815-ED-0001-02 21.3 J 121 899 478 1130

1815 S1815-ED-0001-03 21.5 129 1010 J 530 1250

1815 S1815-ED-0106-01 24.7 155 1130 543 1340

1815 S1815-ED-0106-02 19.7 129 961 435 975

1815 S1815-ED-0106-03 23.6 143 984 J 491 1100

1815 S1815-ED-0612-01 16.9 76.4 673 263 536

1815 S1815-ED-0612-02 8.4 J 49.4 455 J 115 256

1815 S1815-ED-0612-03 13.1 62.7 503 J 147 331

1815 S1815-ED-1218-01 7.67 30.5 341 J 39.2 100

1815 S1815-ED-1218-02 7.79 27.5 J 351 J 34.4 J 102

1815 S1815-ED-1218-03 9.27 28 J 331 J 31.2 J 92.7

1815 S1815-FY-0001-01 17.1 J 108 805 J 404 946

1815 S1815-FY-0106-01 17.5 117 872 J 452 968

1815 S1815-FY-0612-01 13.2 63 496 J 179 320

1815 S1815-FY-1218-01 8.88 20.6 J 320 J 32.4 J 82.2

1831 S1831-AP-0001-01 170 90.3 1040 356 1140

1831 S1831-AP-0106-01 309 J 140 1250 381 1210

1831 S1831-AP-0612-01 177 68.5 628 171 293

1831 S1831-AP-1218-01 132 35.5 397 J 79 114

1831 S1831-BY-0001-01 15.7 74.3 812 262 693

1831 S1831-BY-0001-02 15.3 63.2 743 236 622

1831 S1831-BY-0001-03 21.5 75.2 843 289 748

1831 S1831-BY-0106-01 19.1 97.3 882 318 791

1831 S1831-BY-0106-02 15.7 84.5 856 303 734

1831 S1831-BY-0106-03 21.1 91.1 924 326 833

1831 S1831-BY-0612-01 15.4 138 690 246 540

1831 S1831-BY-0612-02 14 J 219 J 650 323 507

1831 S1831-BY-0612-03 13.8 68.6 747 193 464

1831 S1831-BY-1218-01 12.2 53 507 J 95.5 268

1831 S1831-BY-1218-02 13.6 223 J 533 J 164 390

1831 S1831-BY-1218-03 11 48.2 554 J 97.5 218

1831 S1831-FY-0001-01 216 121 1440 J 653 1430

1831 S1831-FY-0106-01 159 124 1210 414 1070

1831 S1831-FY-0612-01 50 43 509 J 65 148

1831 S1831-FY-1218-01 44.7 33.7 430 J 36.8 97.3

1831 S1831-SY-0001-01 11 95.9 848 261 767

1831 S1831-SY-0106-01 13.9 J 80.2 794 236 620

1831 S1831-SY-0612-01 7.83 35.4 428 J 50.8 105

1831 S1831-SY-1218-01 6.56 J 25.5 J 362 J 24.8 J 67.3 J

1978 S1978-BY-0001-01 18.4 53.5 480 199 468

1978 S1978-BY-0106-01 9.18 J 48.6 376 92.1 218

1978 S1978-BY-0612-01 9.58 J 47.6 413 152 245

1978 S1978-BY-1218-01 8.55 52.7 460 172 255

1978 S1978-FY-0001-01 17.9 J 90.7 464 329 535

1978 S1978-FY-0106-01 18.7 114 466 375 535

1978 S1978-FY-0612-01 14.7 58.2 432 272 301

1978 S1978-FY-1218-01 8.78 J 32.5 407 97.5 134

1978 S1978-GA-0001-01 6.14 J 45.9 422 51.6 194





1978 S1978-GA-0106-01 7.57 J 35.5 398 43.4 166

1978 S1978-GA-0612-01 9.45 67.6 485 118 417

1978 S1978-GA-1218-01 8.08 68.3 464 145 343

1978 S1978-SYE-0001-01 13.8 J 49.8 453 398 579

Acronyms and Symbols

J Concentration is estimated.

K One or more XRF scans was nondetect, Kaplan-Meier method used to calculate sample mean.


R Result is rejected due to quality control failure.




Attachment 1

Brattin and Griffin, 2011

Full Terms & Conditions of access and use can be found athttp://www.tandfonline.com/action/journalInformation?journalCode=bher20

Download by: [US EPA Library] Date: 16 May 2016, At: 13:30

Human and Ecological Risk Assessment: An InternationalJournal

ISSN: 1080-7039 (Print) 1549-7860 (Online) Journal homepage: http://www.tandfonline.com/loi/bher20

Evaluation of the Contribution of Lead in Soil toLead in Dust at Superfund Sites

William Brattin & Susan Griffin

To cite this article: William Brattin & Susan Griffin (2011) Evaluation of the Contribution ofLead in Soil to Lead in Dust at Superfund Sites, Human and Ecological Risk Assessment: AnInternational Journal, 17:1, 236-244, DOI: 10.1080/10807039.2011.538638

To link to this article: http://dx.doi.org/10.1080/10807039.2011.538638

Published online: 13 Feb 2011.

Submit your article to this journal

Article views: 76

View related articles

~ Taylor & Francis ~ Taylor& FrancisGroup

http://www.tandfonline.com/action/journalInformation?journalCode=bher20

http://www.tandfonline.com/loi/bher20

http://www.tandfonline.com/action/showCitFormats?doi=10.1080/10807039.2011.538638

http://dx.doi.org/10.1080/10807039.2011.538638

http://www.tandfonline.com/action/authorSubmission?journalCode=bher20&page=instructions

http://www.tandfonline.com/action/authorSubmission?journalCode=bher20&page=instructions

http://www.tandfonline.com/doi/mlt/10.1080/10807039.2011.538638

http://www.tandfonline.com/doi/mlt/10.1080/10807039.2011.538638

Human and Ecological Risk Assessment, 17: 236–244, 2011Copyright C© Taylor & Francis Group, LLCISSN: 1080-7039 print / 1549-7860 onlineDOI: 10.1080/10807039.2011.538638

Exposure Assessment Articles

Evaluation of the Contribution of Lead in Soil to Leadin Dust at Superfund Sites

William Brattin1 and Susan Griffin2

1SRC, Inc., Denver, CO, USA; 2U.S. Environmental Protection Agency, Denver,CO, USA

ABSTRACTThe concentration of lead in indoor dust is a key parameter in the Integrated

Exposure Uptake Biokinetic (IEUBK) model used by the U.S. Environmental Pro-tection Agency (USEPA) to evaluate risks to children from lead in soil. The defaultassumption is that the concentration of lead in indoor dust is 70% of the concen-tration of lead in outdoor soil. This report reviews the basis of this assumption,and compares the assumption to data obtained at mining/smelting Superfund sitesin USEPA Region 8. Data for lead concentrations measured in both indoor dustand outdoor soil at a number of different properties at nine different Superfundsites were fit to a linear model (Cdust = K0 + Ksd·Csoil). Based on ordinary linearregression, values of Ksd ranged from 0.04 to 0.34. Values of Ksd estimated using asimple method to account for measurement errors yielded values from 0.04 to 0.35.These findings indicate that the concentration of lead in dust at mining/smeltingsites in Region 8 is usually not as large as the IEUBK default assumption indicates.Use of the default is likely to be protective, but will likely result in an overestimationof childhood exposure and risk from lead in soil.

Key Words: lead, soil, dust, IEUBK.

Received 15 December 2009; revised manuscript accepted 4 March 2010.DISCLAIMER: SRC, Inc. is a contractor for USEPA. The authors declare there are no specificpotential competing financial interests as a consequence of employment. The opinions ex-pressed in this report are not necessarily those of the U.S. Environmental Protection Agency.Address correspondence to Susan Griffin, Regional Toxicologist, U.S. Environmental Protec-tion Agency, Region 8, 8OC-EISC, 1595 Wynkoop St, Denver, CO 80202-1129, USA. E-mail:[email protected]

236

Dow

nloa

ded

by [

US

EPA

Lib

rary

] at

13:

30 1

6 M

ay 2

016

Contribution of Lead in Soil to Lead in Dust

INTRODUCTION

The U.S. Environmental Protection Agency (USEPA) has developed an Inte-grated Exposure, Uptake and Biokinetic (IEUBK) model (USEPA 1994) for evalu-ating risks to children from exposures to lead in environmental media, includingoutdoor soil, indoor dust, air, water, and food. Of these exposure media, exposuresfrom soil and dust are often the largest contributors. The concentration of leadin outdoor soil is typically measured at every exposure unit (usually a residentialproperty) that is evaluated. This may be achieved either by collecting a series ofgrab samples and finding the average concentration, or by collecting one or morecomposite samples that represent the exposure unit.

Conceptually, the concentration of lead in indoor dust could also be measured atevery exposure unit, by collecting one or more indoor dust samples (usually usinga microvacuum technique), and averaging the results. However, this is rarely donebecause of cost as well as the disruption to residents inside their homes. Rather,the concentration of lead in indoor dust is usually calculated from the measuredconcentration of lead in outdoor soil using an equation of the following form(USEPA 1998):

Cdust = K0 + Ksd · Csoil

where: Cdust = average concentration of lead in indoor dust (mg Pb/kg dust);K0 = average concentration of lead in indoor dust (mg Pb/kg dust) that is notattributable to soil; and Ksd = average mass fraction of soil in dust (kg soil per kgdust). Because Ksd is a mass fraction, it is bounded between 0 and 1; Csoil = averageconcentration of lead in outdoor yard soil (mg Pb/kg soil).

This model is based on the concept that the concentration of lead in indoor dustis the mass-weighted average of several source terms:

Cdust =∑

[C(i) · MF(i)]

where: C(i) = Concentration of lead in source material “i” that contributes to indoordust; MF(i) = Mass fraction of source material “i” in indoor dust.

Because both the lead concentrations and the mass fractions of different sourcematerials (e.g., soil, paint, dust from ambient air) may vary widely from property toproperty and from site to site, it is expected that there may be substantial variabilityin the relationship between soil and dust, both within a site and between sites.At many sites, the mean concentration of lead in indoor dust is higher than inoutdoor soil (Paustenbach et al . 1997). However, when soil lead levels are high(e.g., at mining/smelting sites), the concentration of lead in indoor dust may tendto be lower than outdoor soil (Paustenbach et al . 1997; Oomen and Lijzen 2004).The purpose of fitting a site-specific dataset to a linear model is to estimate thesite-specific average contribution of soil lead to dust lead.

The basic data needed to estimate K0 and Ksd at a site consist of paired datasetswhere the concentration of lead in outdoor soil and indoor house dust are bothmeasured at multiple exposure units (properties) at a site. The most common way toderive the parameter estimates is through ordinary linear regression (USEPA 1998).However, this approach may tend to underestimate the true slope and overestimatethe intercept when there is significant measurement error due to sampling variability

Hum. Ecol. Risk Assess. Vol. 17, No. 1, 2011 237

Dow

nloa

ded

by [

US

EPA

Lib

rary

] at

13:

30 1

6 M

ay 2

016

W. Brattin and S. Griffin

Table 1. Ksd values used to establish the IEUBK default value.

Site name State Contamination source Measured Ksd

East Helena Montana Smelting 0.85Midvale Utah Smelting 0.70Butte Montana Mining, milling and smelting 0.26Kellogg Idaho Smelting 0.09

Source: USEPA (1994).

in the collection of the soil values. As noted earlier, because both indoor dustand outdoor soil concentrations are estimated using the mean of several grab orcomposite samples from a property, measurement error is likely to be present inboth values, with the magnitude of the error depending on the sampling design andthe magnitude of the between-sample variability.

When measurement error is present in both the dependent and the independentvariables, more advanced methods such as minimization of the chi-square meritfunction (Press et al. 1992), the geometric mean functional relationship (Draper andSmith 1998), or structural equation modeling (USEPA 1994) may be appropriateto help minimize the effect of measurement error. However, such complex analysesmay not always be warranted or possible, due to limitations in the available data.An alternative and relatively simple approach first proposed by Bartlett (1949) isdescribed by Draper and Smith (1998). In this approach, the data are divided intothree groups of approximately equal size based on the values of soil lead, and themean concentration of lead in soil and dust are computed for each group. Theregression line is established by requiring the line to pass through the overall centerof gravity

(X , Y

)with slope (Ksd) and intercept (K0):

Ksd = PbD3 − PbD1

PbS3 − PbS1

K0 = PbD − Ksd · PbS

The USEPA has established a default value of 0.7 for the Ksd parameter (USEPA1994). This value is stated to be appropriate for neighborhoods or residences inwhich loose particles of surface soil are readily transported into the house, wheresoil is a major contributor to household dust, and where leaded paint does notcontribute greatly to indoor dust (USEPA 1994).

The default value was selected by USEPA after a review of data from four Super-fund sites,1 as shown in Table 1. As seen, all four of the sites are mining/smeltingsites. Based on these data, USEPA (1994) selected a default value of 0.7 to be nearthe upper end of the range of measured Ksd values at these sites. No information isprovided in USEPA (1994) on the sizes of the paired soil–dust datasets available atthese sites, or on the statistical method(s) used to estimate the values of Ksd.

1Editor’s note: Superfund sites are uncontrolled hazardous waste sites that fall under theprovisions of the Comprehensive Environmental Response, Compensation, and LiabilityAct, as amended.

238 Hum. Ecol. Risk Assess. Vol. 17, No. 1, 2011

Dow

nloa

ded

by [

US

EPA

Lib

rary

] at

13:

30 1

6 M

ay 2

016


This report summarizes information on the range of Ksd values that have beenmeasured for a number of other mining and smelting Superfund sites in USEPARegion 8 (encompassing much of the Rocky Mountain section of the western UnitedStates), and compares these data to the default value recommended for use in theIEUBK model. The purpose is to evaluate whether the default value is reasonableor may be unduly conservative for use at sites of this type.

DATA

Several examples of site-specific data on the relationship between lead levels inoutdoor yard soil and indoor dust are presented in Figure 1. As seen, in all threeexamples, there is a trend for the concentration of lead in indoor dust to increaseas a function of increasing lead in outdoor soil, but the observed magnitude of theincrease is not as large as the default assumption.

Summarized in Table 2 are the data from these examples as well as a numberof other mining and smelting Superfund sites that have been studied in Region 8.As shown in Table 2, values of Ksd appear to vary substantially between sites. Asnoted earlier, this is not unexpected, because the value of Ksd is likely to dependon a number of site-specific variables that influence the rate and extent of soiltransfer into homes, as well as the rate and extent that indoor dust is removed bycleaning.

When Ksd values are estimated by ordinary linear regression, the site-specificKsd estimates at these sites range from 0.04 to 0.34 (average = 0.17). When theparameter estimates are based on Bartlett’s method, the slope usually increasessomewhat, although in one case the slope derived by this method actually becomesnegative. This is because the mean dust concentration for the first third of thesamples is higher than the mean for the last third. When this result is excluded, Ksdvalues estimated by Bartlett’s method range from 0.04 to 0.35 (average = 0.21).

These results support the conclusion that the default value of 0.7 for Ksd maybe overly conservative, at least for mining, milling, and smelting sites in Region8. These differences between site-specific values and default assumptions used inIEUBK model calculations may lead to an overestimate of the level of exposure andhealth risk to children from lead in soil, at least for mining, milling, and smeltingsites in Region 8.

USEPA (1994) noted that empiric Ksd values may decrease over time at sites wheremajor sources of lead deposition are no longer active. There are two examples fromRegion 8 (Midvale, Utah, and East Helena, Montana) that provide information onthis issue. At these two sites, Ksd values were measured early in the site history andthen again after substantial cleanup work had occurred. The data are shown in Table3. As seen, initial measures of Ksd at these two sites were substantially higher thansubsequent measures. This suggests that site cleanup may tend to diminish Ksd. If so,the mechanism is not certain. Recall that Ksd is a medium-specific transfer factor,describing the transfer of soil (not lead) from outdoors to indoors. As such, thevalue is expected to be independent of the concentration of lead in soil, so cleanupactivities that have as their only effect a reduction in lead levels in the environmentwould not be expected to change Ksd.


Dow

nloa

ded

by [

US

EPA

Lib

rary

] at

13:

30 1

6 M

ay 2

016


Panel A: Eureka Mills, UT (USEPA, 2002)

Panel B: VBI70, CO (USEPA, 2001)

Panel C: East Helena, MT (USEPA, 2005)

y = 0.2548x + 181.14R² = 0.3483

0

200

400

600

800

1000

1200

1400

1600

0 500 1000 1500 2000 2500 3000

Lea

d in

Du

st (

mg/

kg)

Lead in Soil (mg/kg)

excluded outlier

y = 0.3369x + 150.06R² = 0.1827

0

200

400

600

800

1000

0 200 400 600 800 1000

Lea

d in

Du

st (

mg/

kg)


excluded outliers off-scale high

y = 0.1353x + 467.39R² = 0.2276

0

500

1000

1500

2000

2500

0 1000 2000 3000 4000 5000

Lea

d in

Du

st (

mg/

kg)


excluded outliers

Figure 1. Example soil–dust datasets.


Dow

nloa

ded

by [

US

EPA

Lib

rary

] at

13:

30 1

6 M

ay 2

016

• •

• ••• • • • . ,.. . . ~ ..... • • • • • •

•• •

• ... -•• •• •• •

• I

• • _,...-.: •• 1. •

•• • •

• •• •

~e

•

• •

• •

• • .. • •

•

• ...,. •

•

• •

•

•

Table 2. Soil–Dust relationships for lead at Region 8 mining/smelting Superfund sites.

Number Number of Linear regression parameters Bartlett’s method

of data data pairs Slope Intercept Slope InterceptSite Location pairs fitteda (Ksd) (K0) R2 (Ksd) (K0) Source

Butte-Silverbow

Walkerville,MT

196 192 0.20(0.13–0.26)c

280(197–363)

0.14 0.27(0.17–0.39)

206(96–305) UOS (2003)

CaliforniaGulch

Leadville,CO

200 196 0.14(0.11–0.17)

565(491–639)

0.35 0.23(0.18–0.29)

434(340–511) USEPA (1996)

East Helena EastHelena,MT

30 29 0.25(0.12–0.39)

181(74–288)

0.35 0.27(0.06–0.50)

173(34–299) USEPA (2005)

Eureka Mills Eureka, UT 55 54 0.14(0.07–0.20)

467(329–606)

0.23 0.15(0.07–0.23)

450(316–578) USEPA (2002)

Midvale SlagOU1

Midvale,UT

40 40 0.04(-0.13–0.21)

289(210–368)

0.01 -0.21(-

0.74–0.07)

384(277–580) ISSI (1998)

Midvale SlagOU2

Midvale,UT

90 88 0.09(-0.01–0.20)

139(123–156)

0.03 0.04(-

0.14–0.20)

146(128–165) Lanphear et al .

(2003)

MurraySmelter

Murray, UT 22 21 0.19(0.03–0.36)

174(39–309)

0.24 0.23(0.04–0.45)

150(2–277) USEPA (1997)

SandySmelter

Sandy, UT 165 161 0.12(0.09–0.14)

122(93–151)

0.37 0.15(0.11–0.19)

98(61–132) USEPA (1995)

VBI70 OU1 Denver,CO

74 72b 0.34(0.17–0.51)

150(91–210)

0.18 0.35(0.15–0.55)

146(86–206) USEPA (2001)

aOutliers characterized as values ±3 SD of the mean were excluded.bSecond outlier emerged after repeating the outlier analysis excluding the first outlier.cValues in parentheses represent the 95% confidence intervals around the mean.241

Downloaded by [US EPA Library] at 13:30 16 May 2016


Table 3. Changes in soil–dust relationship for lead over time.

Site Date Ksd K0 Source

East Helena 1983 0.70 —a Kleinfelder (1995)2005 0.17 271 USEPA (2005)

Midvale Slag OU2 1989 0.66 208 Bornschein et al . (1991)1998 0.10 144 Lanphear et al . (2003)

aValue not reported.

However, site cleanup actions may do more than simply reduce lead concentra-tions. For example, excavation of soil followed by replacement with clean fill maytend to result in improved quality and extent of grass cover at a site. If so, this wouldbe expected to result in a decrease in Ksd, since transfer of soil into indoor spacesis likely reduced by good vegetative cover. An alternative factor might be a changein population attributes as a function of time. For example, soil tracked into homesis suspected to be higher in homes that have children and/or pets than in homeswith adults only and no pets. If the original data were collected at a time when thesite was characterized by many families with young children and multiple pets, whilethe subsequent data were collected at a time when the number of children and petshad decreased, then the difference in these population parameters might accountfor a decreased soil to dust transfer.

DISCUSSION

In general, default values selected for use in computing exposure and risk atSuperfund sites are intended to be conservative. That is, default values are usuallyselected to be from the high end of their plausible range. However, in the case of theIEUBK model, the strategy used in developing the model was to calibrate the modelso that realistic (rather than conservative) estimates of exposure were generated(Hogan et al . 1998; White et al . 1998). Consequently, IEUBK model default inputsare intended to be central tendency values, not high-end values.

With this in mind, it is apparent that the default value selected for Ksd is morenearly at the high-end than the central portion of the dataset considered in selectingthe value (see earlier). In addition, Ksd values measured at a number of sites inUSEPA Region 8 yield values mainly in the range of 0.1 to 0.4 (Table 2). Based onthese considerations, it is concluded that the current default value for Ksd (0.7) islikely to be higher than actual for most mining, milling and smelting sites in Region8, and that a somewhat lower default (e.g., 0.4) is likely to provide more accurateestimates of lead exposure and risk in children.

In addition, available data suggest that Ksd may not be constant, but may changeover time in response to changes in site conditions. These findings emphasize thevalue of collecting paired measurements of lead in soil and dust at Superfund sitesin order to improve the accuracy of human health risk assessment for lead.


Dow

nloa

ded

by [

US

EPA

Lib

rary

] at

13:

30 1

6 M

ay 2

016


ACKNOWLEDGMENTS

Data used in this report were obtained by site investigations funded by the U.S.Environmental Protection Agency Superfund Program.

REFERENCES

Bartlett MS. 1949. Fitting a straight line when both variables are subject to error. Biometrics5:207–12

Bornschein R, Clark S, Pan W, et al. 1991. Midvale community lead study. Chem SpeciatBioavailab 3:149–62

Draper NR and Smith H. 1998. Applied Regression Analysis, 3rd edit. John Wiley & Sons, Inc,New York, NY, USA

Hogan K, Marcus A, Smith R, et al. 1998. Integrated exposure uptake biokinetic model for leadin children: Empirical comparisons with epidemiological data. Environ Health Perspect106:1557–67

ISSI. 1998. Supplemental Evaluation of Exposure and Risk at the Undeveloped Area ofWinchester Estates Midvale Slag Operable Unit Number 1. Report prepared by ISSI, Inc.,Denver, CO, USA, for USEPA Region 8. January 9

Kleinfelder. 1995. Human Health Risk Assessment for Residential Soils, East Helena Plant,East Helena, Montana. Prepared by Kleinfelder, Bellevue, WA, USA, for ASARCO Incor-porated, East Helena, MT. July

Lanphear BP, Succop P, Roda S, et al. 2003. The effect of soil abatement on blood leadlevels in children living near a former smelting and milling operation. Public Health Rep118:83–90

Oomen AG and Lijzen JPA. 2004. Relevancy of Human Exposure via House Dust to theContaminants Lead and Asbestos. RIVM report 711701037/2004. Available at http://www.rivm.nl/bibliotheek/rapporten/711701037.html

Paustenbach DJ, Finley BL, and Long TF. 1997. The critical role of house dust in understand-ing the hazards posed by contaminated soils. Internat J Toxicol 16:339–62

Press WH, Teukolsky SA, Vettering WT, et al. 1992. Numerical Recipes in C. The Art ofScientific Computing, 2nd edit. Cambridge University Press, New York, NY, USA

UOS. 2003. Final Human Health Risk Assessment Walkerville Residential Site, Walkerville,Montana. URS Operating Services, Inc., Denver, CO, USA. July

USEPA (US Environmental Protection Agency). 1994. Guidance Manual for the IntegratedExposure Uptake Biokinetic Model for Lead in Children. EPA/540/R-93/081. Office ofEmergency and Remedial Response, Washington, DC, USA. Available at http://www.epa.gov/superfund/lead/products.htm#guid

USEPA. 1995. Evaluation of the Risk from Lead and Arsenic. Sandy Smelter Site, Sandy, Utah.US Environmental Protection Agency, Region 8, Denver, CO, USA. December

USEPA. 1996. Baseline Human Health Risk Assessment California Gulch Superfund Site,Leadville, Colorado. Prepared for US Environmental Protection Agency, Region 8 by RoyF. Weston, Inc., Lakewood, CO, USA. January

USEPA. 1997. Final Baseline Human Health Risk Assessment for the Murray Smelter Super-fund Site. Prepared for US Environmental Protection Agency, Region 8 by Roy F. Weston,Inc., Lakewood, CO, USA. August

USEPA. 1998. Short Sheet: IEUBK Model Mass Fraction of Soil in Indoor Dust (Msd) Variable.OSWER Directive 9285.7-34. EPA/540/F-00/008. Office of Solid Waste and EmergencyResponse, Washington, DC, USA. Available at http://www.epa.gov/nscep/


Dow

nloa

ded

by [

US

EPA

Lib

rary

] at

13:

30 1

6 M

ay 2

016


USEPA. 2001. Baseline Human Health Risk Assessment, Vasquez Boulevard and I-70 Super-fund Site, Denver CO. Produced by US Environmental Protection Agency, Region 8, withtechnical assistance from Syracuse Research Corporation, Denver, CO, USA. Available athttp://www.epa.gov/region08/r8risk/hh.html

USEPA. 2002. Baseline Human Health Risk Assessment, Eureka Mills-Eureka, Utah. Preparedfor US Environmental Protection Agency, Region 8, by Syracuse Research Corporation,Denver, CO, USA. Available at http://www.epa.gov/region08/r8risk/hh.html

USEPA. 2005. Re-evaluation of the IEUBK-Based Clean-up Level for Lead in Soil in EastHelena, Montana. Prepared by US Environmental Protection Agency, Region 8, withtechnical assistance from Syracuse Research Corporation, Denver, CO, USA. March

White PD, Van Leeumen P, Davis BD, et al. 1998. The conceptual structure of the inte-grated exposure uptake biokinetic model for lead in children. Environ Health Perspect106:1513–30


Dow

nloa

ded

by [

US

EPA

Lib

rary

] at

13:

30 1

6 M

ay 2

016

Appendix F

Technical Assistance for Lead and Arsenic in Indoor Dust Related to Colorado Smelter NPL Site,Pueblo, Colorado

May 20, 2016

Mr. Steve Wharton, Team Lead Remedial Unit AOffice of Ecosystems Protection and Remediation (EPR)Environmental Protection Agency, Region 81595 Wynkoop StreetDenver, Colorado 80202

SUBJECT: Technical Assistance for Lead and Arsenic in Indoor Dust Related to Colorado Smelter NPL

Site, Pueblo, Colorado

Dear Mr. Wharton,

On May 19, 2016, the U.S. Environmental Protection Agency (EPA) Region 8 requested that ATSDR

model (lead) and calculate (arsenic) potential health risks to children exposed to indoor dust containing

lead and arsenic. Such modeling and calculation is designed to inform decisions intended to reduce

contaminant exposures. The exposure pathway of concern is incidental ingestion of residential indoor

dust in a young child residing in or visiting the property.

Lead was considered first. ATSDR modeled (using IEUBK V1.1 Build 11) the relationship between lead in

indoor dust concentrations and child (0-72 months of age) blood lead at public health action levels. As

requested by EPA, modelling was performed assuming concurrent exposure to one of four lead soil

concentrations; namely, 0 parts per million (ppm), 30 ppm (an estimate of background), 200 ppm and

400 ppm. ATSDR used the model’s default lead intake values from sources other than soil or dust (e.g.

air, water, diet, and maternal contribution). The results are summarized in the tables below and the

model outputs are given in Appendix A.

Table 1. IEUBK Model-predicted indoor lead dust levels by blood lead level

Blood lead

level (µg/dL)

Pb Level in Dust

(ppm) to reach

BLL, assuming soil

at 400 ppm Pb

Pb Level in Dust

(ppm) to reach

BLL, assuming soil

at 200 ppm Pb

Pb Level in Dust

(ppm) to reach

BLL, assuming soil

at 30 ppm Pb

Pb Level in Dust

(ppm) to reach

BLL, assuming soil

at 0 ppm Pb

5 n/a* 60 200 225

10 275 440 580 605

15 700 860 1000 1025

DEPARTMENT OF HEALTH & HUMAN SERVICESAgency for Toxic Substances and Disease Registry,Region 8

Public Health Service1595 Wynkoop StreetDenver, CO 80202-2466

20 1175 1340 1475 1500

25 1700 1870 2000 2025

* The IEUBK model cannot solve (i.e., no dust lead concentration value can result in 5% NTE 5 µg/dL for 0-72 months with the

given inputs)

The Centers for Disease Control and Prevention (CDC) uses a reference level of 5 micrograms per

deciliter (µg/dL) to identify children with blood lead levels that are statistically higher than most

children’s levels. This level is based on the U.S. population of children ages 0-5 years who are in the

highest 2.5% when tested for lead in their blood [CDC 2012].

Arsenic was considered next. Using standard exposure scenario assumptions from ATSDR’s Public

Health Assessment Guidance Manual [ATSDR 2005] and EPA’s Exposure Factor Handbook [USEPA 2011],

ATSDR calculated the dust concentrations necessary for a child dose to reach ATSDR’s Acute and Chronic

Minimum Risk Levels (MRLs) for arsenic. ATDSR assumed 30% (upper bound) bioavailability of arsenic

from smelter dust based on similar smelter site work in Anaconda, Montana [Freeman et al. 1995].

These calculations are presented in the table below. The dose equation and exposure scenario

assumptions are given in Appendix B.

Table 2. Calculated indoor arsenic dust levels estimated to cause child exposure at the MRL

MRL Dust Concentration to reach MRL

(Upper Bound Ingestion Rate)

Dust Concentration to reach MRL

(Central Tendency Ingestion Rate)

Arsenic, Acute

0.005 mg/kg/day

2666 mg As/Kg dust 4443 mg As/Kg dust

Arsenic, Chronic

0.0003 mg/kg/day

160 mg As/Kg dust 267 mg As/Kg dust

Given that potential exposures occur in homes and that current information suggests that exposure may

have been ongoing for some time, ATSDR believes that the chronic MRL for arsenic is the appropriate

value to use in making public health decisions. It is important to note that the MRL is a conservative

estimate of daily exposure that would be without adverse non-cancer health effects [ATSDR 2007].

Using the NOAEL of 0.0008 mg/kg-day as a comparison, the highest dust concentration that would result

in a dose equivalent to the NOAEL and at which no chronic adverse health effects have been observed in

human studies is 480 mg As/Kg dust (upper bound ingestion rate) and 801 mg As/Kg dust (central

tendency ingestion rate).

Recommendations

If lead and/or arsenic are detected in indoor house dust above health-protective levels described above

then:

Notify homes where lead and/or arsenic are above health-protective levels as soon as possible.

Use HEPA vacuums and wet mops to reduce current indoor exposures and to potentially lower

lead and/or arsenic dust to levels that are protective of health.

Have children and pregnant women leave the house when cleaning is taking place since some

dust may be stirred up during cleaning.

If possible re-test homes after HEPA vacuuming and wet mopping to determine if lead and/or

arsenic have been decreased to levels that are protective of health.

If possible evaluate the geographic extent of lead and/or arsenic dust.

ATSDR is available to evaluate data from the site when they are available and to assist with health

education in Pueblo. Please feel free to contact either myself, Scott Sudweeks, or Kai Elgethun with

questions.

Sincerely,

David Dorian, MSEnvironmental Health Scientist

Enclosures (2)

References

ATSDR 2005. Public Health Assessment (PHA) Guidance Manual. U.S. Department of Health and HumanServices. U.S. Public health Service. Agency for Toxic Substances and Disease Registry. November 2005.

ATSDR 2007. Toxicological Profile for Arsenic. U.S. Department of Health and Human Services. U.S.Public health Service. Agency for Toxic Substances and Disease Registry. May 2007.

CDC 2012. Low Level Lead Exposure Harms Children: A Renewed Call for Primary Prevention. AdvisoryCommittee on Childhood Lead Poisoning Prevention. U.S. Centers for Disease Control and Prevention.U.S. Department of Health and Human Services. January 2012.

Freeman GB et al. Bioavailability of arsenic in soil and house dust impacted by smelter activitiesfollowing oral administration in cynomolgus monkeys. Fundamentals of Applied Toxicology 28: 215-22(1995).

USEPA 2010. Integrated Exposure Uptake Biokinetic Model for Lead in Children, Windows® version(IEUBKwin v1.1 build 11). 32-bit version. February 2010.

USEPA 2011. Exposure Factors Handbook (EFH) 2011 Edition (Final). U.S. Environmental ProtectionAgency, Washington, DC, EPA/600/R-09/052F, 2011.

APPENDIX A: Integrated Exposure Uptake Biokinetic (IEUBK) model results, probabilitydistribution exceeding 5% of 5 µg/dL target PbB level.

Receptor 1: Toddler age 12-24 months

Receptor 2: Child 0-72 months (6 years)

Scenario 1: Assumes ALL lead exposure comes from indoor dust ONLY – no additional

contribution from other sources except maternal PbB.

Scenario 2: Assumes lead exposure is a COMBINATION of indoor dust and other sources,

including exterior soil at 200 and 400 ppm. Additional sources include air, water, diet, maternal

contribution.

Source IEUBK V1.1 Build11. Default model inputs.

Scenario 1, receptor 1: Toddler 12-24 months, dust only 0-1000 ppm Pb, 5 µg/dL target PbB.

1

1 'utnft: = ~ MMl µ dl ,SD = U,ou

Run 1 2 ~

.I

Scenario 2, receptor 1: Toddler 12-24 months, dust 0-1000 ppm Pb + additional sources, Soil at 200 µg/g

Pb, 5 µg/dL target PbB.

Prob. ff tril uti •

0 6 12 1 24 30 36, 4..:,; 48 .54

Bl dP'bC lit · IJ!lg/dL

uto -

dl T = ~ p D = 1.

-

Run I

1M .f67 J 1 .JJJ 4, ,-00.000

6('6.(,'1 6, · .JJ.333

9ff15 29 1000.100 I

Scenario 2, receptor 1: Toddler 12-24 months, dust 0-1000 ppm Pb + additional sources, Soil at 400 µg/g

Pb, 5 µg/dL target PbB.

l r I ,

ut ff = 5.000 p dJ I = I.MHt

Run bm· 1 13.6-1-1

,IU, J 65.435 4 - .714

- .533 6 00.45Y' 7 :J.5 •

n I.,

n utra1i 0.000

l<i 66 331333 5HO.DOD (i(i6.66 s.JJ.JJJ lOlto.OfHl,

dPb

H

D

4 ...

dLI

I .

'.

oLI

' O

Scenario 2, receptor 2: Child 0-72 months (6yr), dust only 0-1000 ppm Pb, 5 µg/dL target PbB.

Pfi b. ff .trillm t1i n For MuUiiph~ R111 ,

0

Run · l

·, -l

7 14

µ di

21 2 3 -:, 42

lilil d Pb n~, ,,agfdL

49 5 70

nt '

Scenario 2, receptor 2: Child 0-72 months, dust 0-1000 ppm Pb + additional sources, Soil at 200 µg/g Pb.

5 µg/dL target PbB.

ut ff= -.0 I µ di _ D=Ui

Rnn# 1 2 3 4

6 7 1000.000

n =-O~o ~moot Run lod ;; R a r,ch

llt.llllelllt = Dust.+ad.d'i ·omali+2. · ppm1 H

Scenario 2: Child 0-72 months, dust 0-1000 ppm Pb + additional sources, Soil at 400 µg/g Pb.5 µg/dL

target PbB.

l

I .J_ _ _ ...J.....::::::~~iii;iiaiilii;iiiillill._ ____________ _

0 i[_

11t ff~ -. H)O p d1 "~n ~ J; ,

Run# t

3 4

(i

7

1. 0

b · . n

APPENDIX BARSENIC EXPOSURE CALCULATIONS

Arsenic (Acute MRL = 0.005 mg/kg/day; Acute LOAEL = 0.05 mg/kg/day; UF 10)

Dust Concentration at which child exposure might reach Acute MRL = 2666 mg As/ Kg dust(upper bound IR) and 4443 mg As / Kg dust (central tendency IR)

Health endpoint: reversible facial edema and GI symptoms including nausea, vomiting, anddiarrhea (Mizuta et al. 1956)

Arsenic (Chronic MRL = 0.0003 mg/kg/day; Chronic NOAEL = 0.0008 mg/kg/day; UF 3)

Dust Concentration at which child exposure might reach Chronic MRL = 160 mg As/ Kg dust(upper bound IR) and 267 mg As / Kg dust (central tendency IR)

Health endpoint: skin lesions / darkening / keratosis (Tseng et al. 1977)

Equation

Dose (mg/kg per day) = C (mg/kg soil) x IR (mg soil ingested per day) x CF (10-6

) x BioavailBW (kg)

Assumptions

30% Bioavailability from arsenic smelter dust in homes (Anaconda, MT) (upper bound):Freeman et al. 1995

16 kg child body weight from EPA EFH 2011 and ATSDR PHA Guidance Manual 2005

100 mg of dust ingested per day (General Population Upper Percentile) from EPA EFH 2011

60 mg of dust ingested per day (General Population Central Tendency) from EPA EFH 2011

Appendix G

American Academy of Pediatrics, Recommendations on Medical Management of Childhood LeadExposures and Poisoning

Recommendations on Medical Management of Childhood Lead Exposure and Poisoning

No level of lead in the blood is safe. In 2012, the CDC established a new “reference value” for blood lead levels (5 mcg/dL), thereby lowering the level at which evaluation and intervention are recommended (CDC).

Lead level Recommendation < 5 mcg/dL 1. Review lab results with family. For reference, the geometric mean blood lead level for

children 1-5 years old is less than 2 mcg/dL . 2. Repeat the blood lead level in 6-12 months if the child is at high risk or risk changes during the

timeframe. Ensure levels are done at 1 and 2 years of age. 3. For children screened at age < 12 months, consider retesting in 3-6 months as lead exposure

may increase as mobility increases. 4. Perform routine health maintenance including assessment of nutrition, physical and mental

development, as well as iron deficiency risk factors. 5. Provide anticipatory guidance on common sources of environmental lead exposure: paint in

homes built prior to 1978, soil near roadways or other sources of lead, take-home exposures related to adult occupations, imported spices, cosmetics, folk remedies, and cookware.

5-14 mcg/dL 1. Perform steps as described above for levels < 5 mcg/dL. 2. Re-test venous blood lead level within 1-3 months to ensure the lead level is not rising. If it is

stable or decreasing, retest the blood lead level in 3 months. Refer patient to local health authorities if such resources are available. Most states require elevated blood lead levels be reported to the state health department. Contact the CDC at 800-CDC-INFO (800-232-4636) or the National Lead Information Center at 800-424-LEAD (5323) for resources regarding lead poisoning prevention and local childhood lead poisoning prevention programs.

3. Take a careful environmental history to identify potential sources of exposures (see #5 above) and provide preliminary advice about reducing/eliminating exposures. Take care to consider other children who may be exposed.

4. Provide nutritional counseling related to calcium and iron. In addition, recommend having a fruit at every meal as iron absorption quadruples when taken with Vitamin C-containing foods. Encourage the consumption of iron-enriched foods (e.g., cereals, meats). Some children may be eligible for Special Supplemental Nutrition Program for Women, Infants and Child (WIC) or other nutritional counseling.

5. Ensure iron sufficiency with adequate laboratory testing (CBC, Ferritin, CRP) and treatment per AAP guidelines. Consider starting a multivitamin with iron.

6. Perform structured developmental screening evaluations at child health maintenance visits, as lead’s effect on development may manifest over years.

15-44 mcg/dL

1. Perform steps as described above for levels 5-14 mcg/dL. 2. Confirm the blood lead level with repeat venous sample within 1 to 4 weeks. 3. Additional, specific evaluation of the child, such as abdominal x-ray should be considered

based on the environmental investigation and history (e.g., pica for paint chips, mouthing behaviors). Gut decontamination may be considered if leaded foreign bodies are visualized on x-ray. Any treatment for blood lead levels in this range should be done in consultation with an expert. Contact local PEHSU or PCC for guidance; see resources on back for contact information.

>44 mcg/dL 1. Follow guidance for BLL 15-44 mcg/dL as listed above. 2. Confirm the blood lead level with repeat venous lead level within 48 hours. 3. Consider hospitalization and/or chelation therapy (managed with the assistance of an

experienced provider). Safety of the home with respect to lead hazards, isolation of the lead source, family social situation, and chronicity of the exposure are factors that may influence management. Contact your regional PEHSU or PCC for assistance; see resources on back for contact information.

Document authored by Nicholas Newman, DO, FAAP, Region 5 PEHSU, Helen J. Binns, MD, MPH, Region 5 PEHSU, Mateusz Karwowski, MD, MPH, Region 1 PEHSU, Jennifer Lowry, MD , Region 7 PEHSU and the PEHSU Lead Working Group.

~ PEHSU ~ ... 1 41111 Pediatric Environmental I,. a.I Health Specialty Units

American Academy of Pediatrics DEDICATED TO THE HEALTH OF ALL CHILDREN"

Recommendations on Medical Management of Childhood Lead Exposure and Poisoning

Principles of Lead Screening • Lead screening is typically performed with a capillary specimen obtained by a finger prick with blood blotted

onto a testing paper. Testing in this manner requires that the skin surface be clean; false positives are common. Therefore, elevated capillary blood lead levels should be followed by venipuncture testing to confirm the blood lead level. In cases where the capillary specimen demonstrates an elevated lead level but the follow-up venipuncture does not, it is important to recognize that the child may live in a lead-contaminated environment that resulted in contamination of the finger tip. Efforts should be made to identify and eliminate the source of lead in these cases. Where feasible, lead screening should be performed by venipuncture.

Principles of Iron Deficiency Screening • The iron deficiency state enhances absorption of ingested lead. • Hemoglobin is a lagging indicator of iron deficiency and only 40% of children with anemia are iron deficient. • Lead exposed children (≥ 5 mcg/dL) are at risk for iron deficiency and should be screened using CBC, Ferritin,

and CRP. Alternatively, reticulocyte hemoglobin can be used, if available. • Children with iron deficiency, with or without anemia, should be treated with iron supplementation. Resources • Pediatric Environmental Health Specialty Unit

(PEHSU)Network • www.pehsu.net or 888-347-2632

• Poison Control Center (PCC) • www.aapcc.org/ or 800-222-1222 • Centers for Disease Control and Prevention • www.cdc.gov/nceh/lead/ or 800-232-4636 • U.S. Environmental Protection Agency • www.epa.gov/lead/ or 800-424-5323 Suggested Reading and References: Pediatric Environmental Health, 3rd edition. American Academy of Pediatrics, 2012. Woolf A, Goldman R, Bellinger D. Pediatric Clinics of North America 2007;54(2):271-294. Levin R, et al. Environmental Health Perspectives 2008; 116(10):1285-1293. Baker RD, Greer FR. Pediatrics 2010;126(5):1040-50. Guidelines for the Identification and Management of Lead Exposure in Pregnant and Lactating Women. CDC, 2010. CDC Response to Advisory Committee on Childhood Lead Poisoning Prevention Recommendations in “Low Level Lead Exposure Harms Children: A Renewed Call of Primary Prevention” June 7, 2012 This document was supported by the Association of Occupational and Environmental Clinics (AOEC) and funded (in part) by the cooperative agreement award number 1U61TS000118-04 from the Agency for Toxic Substances and Disease Registry (ATSDR). Acknowledgement: The U.S. Environmental Protection Agency (EPA) supports the PEHSU by providing funds to ATSDR under Inter-Agency Agreement number DW-75-92301301-0. Neither EPA nor ATSDR endorse the purchase of any commercial products or services mentioned in PEHSU publications.

(June 2013 update)

Principles of Lead Exposure in Children • A child’s blood lead concentration depends on their environment, habits, and nutritional status. Each of these

can influence lead absorption. Children with differing habits or nutritional status but who live in the same environment can vary on blood lead concentration. Further, as children age or change residences, habits or environments change creating or reducing lead exposure potential.

• While clinically evident effects such as anemia, abdominal pain, nephropathy, and encephalopathy are seen at levels >40 µg/dL, even levels below 10 µg/dL are associated with subclinical effects such inattention and hyperactivity, and decreased cognitive function. Levels above 100 µg/dL may result in fatal cerebral edema.

• Lead exposure can be viewed as a lifelong exposure, even after blood lead levels decline. Bone acts as a reservoir for lead over an individual’s lifetime. Childhood lead exposure has potential consequences for adult health and is linked to hypertension, renal insufficiency, and increased cardiovascular-related mortality.

• Since lead shares common absorptive mechanisms with iron, calcium, and zinc, nutritional deficiencies in these minerals promotes lead absorption. Acting synergistically with lead, deficiencies in these minerals can also worsen lead-related neurotoxicity.

~ PEHSU ~ ... 1 41111 Pediatric Environmental I,. a.I Health Specialty Units

American Academy of Pediatrics DEDICATED TO THE HEALTH OF ALL CHILDREN"

http://www.pehsu.net/

http://www.aapcc.org/

http://www.cdc.gov/nceh/lead/

http://www.epa.gov/lead/

Appendix H

Comparison of Total Cost of Remedial Alternatives

Table H1

Focused Feasibility Study Cost Estimate

Colorado Smelter Superfund Site; Operable Unit 1

Present Value Analysis for Alternatives 2 and 3

Capital Cost

Annual O&M

Cost Periodic Costs Total Costs

Discount

Factor at 7%5

Total Present Value

Cost at 7%

0 2017 1,789,900$ -$ -$ 1,789,900$ 1.000 1,789,900$

1 2018 6,567,700$ 27,500$ -$ 6,595,200$ 0.935 6,163,738$

2 2019 6,567,700$ 157,367$ -$ 6,725,067$ 0.873 5,873,934$

3 2020 6,567,700$ 230,317$ -$ 6,798,017$ 0.816 5,549,207$

4 2021 6,567,700$ 289,285$ -$ 6,856,985$ 0.763 5,231,161$

5 2022 6,567,700$ 289,266$ -$ 6,856,966$ 0.713 4,888,922$

6 2023 6,567,700$ 289,266$ -$ 6,856,966$ 0.666 4,569,086$

7 2024 -$ 289,266$ -$ 289,266$ 0.623 180,140$

8 2025 -$ 145,936$ -$ 145,936$ 0.582 84,936$

9 2026 -$ 72,968$ -$ 72,968$ 0.544 39,690$

Total 41,196,100$ 1,791,170$ -$ 42,987,270$ 34,370,713$

Capital Cost

Annual O&M

Cost Periodic Costs Total Costs

Discount

Factor at 7%5

Total Present Value

Cost at 7%

0 2017 1,789,900$ -$ -$ 1,789,900$ 1.000 1,789,900$

1 2018 7,006,450$ 27,500$ -$ 7,033,950$ 0.935 6,573,785$

2 2019 7,006,450$ 157,367$ -$ 7,163,817$ 0.873 6,257,155$

3 2020 7,006,450$ 230,317$ -$ 7,236,767$ 0.816 5,907,357$

4 2021 7,006,450$ 289,285$ -$ 7,295,735$ 0.763 5,565,881$

5 2022 7,006,450$ 289,266$ -$ 7,295,716$ 0.713 5,201,745$

6 2023 7,006,450$ 289,266$ -$ 7,295,716$ 0.666 4,861,444$

7 2024 -$ 289,266$ -$ 289,266$ 0.623 180,140$

8 2025 -$ 145,936$ -$ 145,936$ 0.582 84,936$

9 2026 -$ 72,968$ -$ 72,968$ 0.544 39,690$

Total 43,828,600$ 1,791,170$ -$ 45,619,770$ 36,462,033$

1Year 0, assume 35 soil removals and 27 interior cleanups

2Years 1 - 6, assumes 12-inch soil removals at 130.3 properties per year

3Years 1 - 6, assumes 91.8 interior cleanups per year

4Years 1 - 6, assumes 12-inch and 18-inch soil removals at 97.8 and 32.5 properties per year, respectively

5Discount Factor = 1/(1 + i )t , where i = 0.07, t = year (i.e. the present value of one dollar paid in year t at 7%)

Year1,3,4

Alternative 2 - Present Value

Alternative 3 - Present Value

Year1,2,3

Focused Feasibility Study Rev 1

6/12/2017 Page 1 of 1

Table H2



Soil Removal to 12-inch Depth and Property Restoration Costs

for a Typical 5,000-Square Foot Property

CAPITAL COST ITEM QTY UNIT UNIT PRICE COST TOTALS

Direct Capital

Pre-removal coordination with homeowner

Temporary Lodging and M&IE for Residents 3 days $ 432.00 1,300$

Remove Contaminated Soil

Mobilize Equipment 1 ea $ 624.16 630$

Clear and Grub Yard 0.12 acre $ 4,308 520$

Perform hand digging with loading (35% of total) 65 bcy $ 57.29 3,720$

Perform machine digging with loading (65% of total) 120.4 bcy $ 3.88 470$

Haul Contaminated Soil to Pueblo Landfill (average distance 6 miles) 241 lcy $ 11.76 2,840$

Tipping Fee for Disposal of Contaminated Soil 361 tons $ 10.66 3,850$

Restore Property (Outside) -$

Place orange safety fence at base of excavation 5000 sf $ 0.08 400$

Clean Common Borrow Fill (Material Only) 120.4 lcy $ 17.32 2,090$

Clean Topsoil (Material Only) 120.4 lcy $ 34.26 4,130$

Haul Clean Borrow and Topsoil 240.7 lcy $ 11.76 2,840$

Place, grade, and compact fill and topsoil in 6-inch lift with skid steer 2.0 ea $ 1,488.76 2,980$

Install Irrigation System 4,000 sf $ 1.05 4,200$

Demobilize Equipment 1 ea $ 624 630$

Install Sod 4 msf $ 710 2,850$

Landscaping Allowance (to replace flowers and shrubs) 1 ls $ 500 500$

Subtotal Direct Capital 32,700$

Indirect Capital (as percentages of Direct Capital)

Remedial Design (6%) 1,960$

Project Management and Work Plans (5%) 1,640$

Mobilization/Demobilization (2%) 650$

Construction Management and Field Oversight (6%) 1,960$

Field Equipment and Supplies (1%) 330$

Bid and Scope Contingency (10%) 3,270$

Subtotal Indirect Capital 9,800$

Total Capital 42,500$

Year 1 Maintenance, Monitoring, Reporting 1,100$

Year 2 Annual Maintenance, Monitoring & Reporting 560$


Present Worth Cost of Annual O&M 2,300$

TOTAL PRESENT WORTH COST (Sum of Total Capital and Present Worth Cost of Annual O&M) 44,800$

Capital and annual costs are 2016 ecy = each cubic yard msf = thousand square feet

bcy = bank cubic yards lcy = loose cubic yards sf = square feet

ea = each ls = lump sum

OPERATING AND MAINTENANCE (O&M) COST ITEMANNUAL

COSTPRESENT WORTH COST OF ANNUAL O&M (n = 3 years)


6/12/2017 Page 1 of 1

Table H3



Soil Removal to 18-inch Depth and Property Restoration Costs



Direct Capital



Remove Contaminated Soil

Mobilize Equipment 1 ea $ 624.16 630$

Clear and Grub Yard 0.12 acre $ 4,308 520$

Perform hand digging with loading (35% of total) 97 bcy $ 57.29 5,580$

Perform machine digging with loading (65% of total) 181 bcy $ 3.88 700$

Haul Contaminated Soil to Pueblo Landfill (average distance 6 miles) 361 lcy $ 11.76 4,250$

Tipping Fee for Disposal of Contaminated Soil 542 tons $ 10.66 5,780$

Restore Property (Outside) -$

Place orange safety fence at base of excavation 5000 sf $ 0.08 400$

Clean Common Borrow Fill (Material Only) 240.5 lcy $ 17.32 4,170$

Clean Topsoil (Material Only) 120.3 lcy $ 34.26 4,120$

Haul Clean Borrow and Topsoil 360.8 lcy $ 11.76 4,250$

Place, grade, and compact fill and topsoil in 6-inch lift with skid steer 3.0 ea $ 1,488.76 4,470$

Install Irrigation System 4,000 sf $ 1.05 4,200$

Demobilize Equipment 1 ea $ 624 630$

Install Sod 4 msf $ 710 2,850$

Landscaping Allowance (to replace flowers and shrubs) 1 ls $ 500 500$



Remedial Design (6%) 2,590$

Project Management and Work Plans (5%) 2,160$


Construction Management and Field Oversight (6%) 2,590$


Bid and Scope Contingency (10%) 4,310$



Year 1 Maintenance, Monitoring, Reporting 1,100$



Present Worth Cost of Annual O&M 2,300$

TOTAL PRESENT WORTH COST (Sum of Total Capital and Present Worth Cost of Annual O&M) 58,300$

Capital and annual costs are 2016 ecy = each cubic yard msf = thousand square feet



OPERATING AND MAINTENANCE (O&M) COST ITEMANNUAL

COSTPRESENT WORTH COST OF ANNUAL O&M (n = 3 years)


6/12/2017 Page 1 of 1

Table H4



Internal Dust Cleaning Costs

for a Typical 1,500-Square Foot Home Plus Basement


Direct Capital



Rent Temporary Storage Box 0.10 month $ 120.60 20$

Move Items to Temporary Storage 1 days $ 1,740 1,740$

Perform Internal House Cleaning

Duct Cleaning and Furnace Filter Replacement 1 ls $ 400 400$

Remove Carpet and Pad 150 sf $ 0.28 50$

Replace Carpet and Pad 16.7 sy $ 42 700$

Pre-Clean, HEPA Vacuum & Wet Wipe (verify clean w/XRF)

Floors and Ceilings 3796 sf $ 0.32 1,220$

Walls 3040 sf $ 0.32 980$

Perform Second Cleaning on 20% of total surface area 1367 sf $ 0.32 440$

Return Items from Storage to House 1 days $ 1,740 1,740$



Remedial Design (6%) 520$

Project Management (5%) 430$


Construction Management and Field Oversight (6%) 520$


Bid and Scope Contingency (10%) 860$



TOTAL PRESENT WORTH COST 11,200$

Costs are 2016 ecy = each cubic yard msf = thousand square feet




6/12/2017 Page 1 of 1

Table H5



Assumptions Used to Estimate Costs for

Soil Removal and Property Restoration


General Assumptions Used as Basis for Cost Estimate

● Alterna�ve 2 assumes soil removal to a depth of 12 inches below exis�ng grade at 817 proper�es ( approximately 43% of proper�es);

and indoor dust cleaning at 578 homes (approximately 30% of the properties).

● Alterna�ve 3 assumes soil removal to a depth of 12 at 622 proper�es; to a depth of 18 inches at 195 proper�es;

and indoor dust cleaning at 578 homes.

● Cost details in 2016 dollars for a typical 5,000 square foot property undergoing 12-; and 18-inch soil removals

and dust cleaning for a typical 1,500 square foot house plus basement are tabulated in Appendix G.

● Soil removal unit costs are based on an average yard area of 5,000 square feet per property

● Restoring Property Outside excludes:

○ House painting

○ House patching

○ Removal of existing concrete or asphalt pavement

○ Costs for long-term institutional controls

● Restoring Property Outside includes:

○ Importing, grading, and compacting clean fill and topsoil

○ Installing sod and an irrigation system for 4,000 square feet

○ Providing costs for one-year of water to irrigate and sustain sod

○ Providing a $500 allowance to replace flowers and shrubs● Soil removed is assumed to be nonhazardous waste under Sub�tle C of RCRA and suitable for land disposal

● 35% of the total volume of soil removed is assumed to require hand digging; the balance can be removed by machine

● Line item costs are rounded up to nearest $10; total costs are rounded up to nearest $100

Capital Cost Elements with Assumptions1.0 Pre-removal coordination with homeowner

1.1 Temporary Lodging and M&IE for Residents

2.0 Remove Contaminated Soil

2.1 Mobilize Equipment RS Means Q32016 15436501400

2.2 Clear & Grub Yard RS Means Q32016 311110100020

2.3 Perform hand digging RS Means Q32016 312316131400

2.4 Perform machine digging RS Means Q32016 312316420360

2.5Haul Contaminated Soil to Pueblo Landfill (average

distance 6 miles)RS Means Q32016 312323200036

2.6 Tipping Fee for Disposal of Contaminated Soil

Cost Source/Assumptions

Excavating, trench or continuous footing,

loam or sandy clay, 3/8 C.Y. excavator, 1' to 4'

deep, excludes sheeting or dewatering. Add

15% for loading

Cycle hauling (wait, load, travel, unload or

dump & return) 8 C.Y. truck, cycle 8 miles, 20

MPH, excludes loading equipment. Add 50%

to unit price because cycle is 12 miles

EPA's 2016 START Contractor pricing for Colorado Smelter Residential Cleanup for

Clearing & grubbing, cut & chip light trees, to

6" diameter

Excavating, trench or continuous footing,

common earth, by hand with pick and shovel,

2' to 6' deep, light soil, excludes sheeting or

dewatering. Add 15% for loading

2 rooms at a daily rate of $89 for 6 nights, plus daily M&IE of $51 per person for 4

persons for 7 days, plus pet boarding of $50 per day for 6 days

Mobilization or demobilization, delivery

charge for equipment, hauled on 20-ton

capacity towed trailer


6/12/2017 Page 1 of 2

Table H5




Soil Removal and Property Restoration


Capital Cost Elements with Assumptions3.0

3.1 Place orange safety fence at base of excavation

3.2 Clean Common Borrow Fill (Material Only) RS Means Q32016 310513100200

3.3 Clean Topsoil (Material Only) RS Means Q32016 310513100800

3.4 Haul Clean Borrow and Topsoil

3.5 Place, grade, and compact fill and topsoil (with skid steer)RS Means Q32016 312213200140

3.6 Install Irrigation System RS Means Q32016 328423100800

3.7 Demobilize Equipment RS Means Q32016 15436501400

3.8 Install Sod RS Means Q32016 329223100300

3.9

Annual O&M Cost Elements - 3 year life cycle

Year 1

Year 2 Year 1 costs less water reimbursement

Year 3 Year 2 costs


Underground sprinklers irrigation system, for

lawns, residential system, custom, 1" supply

Mobilization or demobilization, delivery

charge for equipment, hauled on 20-ton

capacity towed trailer

$45/mo residential water bill; a 1.5 hour annual yard inspection including documentation and project management, and a $250 annual

landscape repair allowance. See Table G.7 for detail on annual O&M costs

Assume the same unit cost as that used for hauling contaminated soil

Sodding, bluegrass sod, on level ground, 1000

S.F.

Landscaping Allowance (to replace flowers and shrubs) Engineer's Estimate

Material cost of $0.0525/sf plus $0.0275/sf assumed for labor to install. Material cost

accessed at http://www.saraglove.com

Restore Property (Outside)

Soils for earthwork, common borrow, spread

with 200 H.P. dozer, includes load at pit and

haul, 2 miles round trip, excludes compaction

Soils for earthwork, topsoil borrow, weed

free, spread with 200 H.P. dozer, includes

load at pit and haul, 2 miles round trip,

excludes compaction

Rough grading sites, 3100-5000 S.F., skid

steer & labor


6/12/2017 Page 2 of 2

Table H6




Internal Dust Cleaning for a

Typical 1,500-Square Foot Home Plus Basement

Capital Cost Elements with Assumptions1.0 Pre-removal coordination with homeowner

1.1 Temporary Lodging and M&IE for Residents

1.2 Rent Temporary Storage Box

1.3 Move Items to Temporary Storage

4.0

4.1 Duct Cleaning and Furnace Filter Replacement

4.2 Remove Carpet and Pad 90505200400

4.3 Replace Carpet and Pad 96810109000 96816100700

4.4Pre-Clean, HEPA Vacuum & Wet Wipe (verify clean

w/XRF)28213420100

4.4.1 Floors and Ceilings

4.4.2 Walls

4.4.3Perform Second Cleaning on 20% of total surface area

4.5 Return Items from Storage to House


2 rooms at a daily rate of $89 for 6 nights, plus daily M&IE of $51 per person for 4 persons

for 7 days, plus pet boarding of $50 per day for 6 days

prorated 1 month minimum rental of $120/month - from local rental agency

RS Means Q32016

Assume crew of 4 movers @ $360 ea/day plus vehicle cost of $300/day

Assume crew of 4 movers @ $360 ea/day plus vehicle cost of $300/day

Assume carpet and pad

replacement for 10% of

the floor space

Preparation of asbestos containment area,

pre-cleaning, HEPA vacuum and wet wipe, flat

surfaces

See below for assumed detailed breakdown of surface area

Perform Internal House Cleaning

Upper end of cost range for average job from Home Advisors accessed from:

http://www.homeadvisor.com/myhomeadvisor/IB/confirmation/82542880#appointment.

Assumed non OSHA regulated activity

Assume carpet and pad removal for 10% of

the floor space

RS Means Q32016

RS Means Q32016


6/12/2017 Page 1 of 2

Table H6




Internal Dust Cleaning for a

Typical 1,500-Square Foot Home Plus Basement

Number Room Size Number Size sf Total Wall sf

Bedrooms 4 10 x 12 120 480 960 4 8 x 12 96 384

Living Area 1 18 x 25 450 450 900 2 8 x 18 144 288

2 8 x 25 200 400

Kitchen 1 10 x 20 200 200 400 2 8 x 10 80 160

2 8 x 20 160 320

Baths 2 8 x 12 96 192 384 2 8 x 8 64 128

2 8 x 12 96 192

Hallways 1 4 x 20 80 80 160 2 8 x 20 160 320

Closets 3 4 x 8 32 96 192 2 8 x 4 32 64

2 8 x 8 64 128

Basement 1 16 x 25 400 400 800 2 8 x 16 128 256

2 8 x 25 200 400

Totals 1898 3796 26 1424 3040

Assumed Breakdown of Surface Area for a Hypothetical 1,500 sf residence plus 400 sf basement

Room

floor

Extended floor

space

Floor/Ceiling

Space

Walls


6/12/2017 Page 2 of 2

Table H7



Assumptions Used to Estimate

Annual Operations and Maintenance Costs

Task A Yard Inspection Units Per Cost

Labor

Program Manager/Principal Scientist hours $150 per hour $0

Sr. Project Manager/Senior Engineer/Hydrologist hours $140 per hour $0

Site Manager/Associate ` 0.5 hours $120 per hour $60

Project Engineer/Geologist/Scientist hours $110 per hour $0

Staff Engineer/Geologist/Scientist 1.5 hours $105 per hour $158

CADD/GIS/Drafting hours $100 per hour $0

Technician hours $90 per hour $0

Technical Editor hours $80 per hour $0

Project/Contract Coordinator 0.5 hours $75 per hour $38

Clerical/Administrative hours $70 per hour $0

Task A Labor Subtotal $255

Project Management (18%) $46

Task A Total $301

Other Direct Costs Units Per Cost

ODCs

Flower and Shrub Repair Allowance 1 ls $250 each $250

Field and System Supplies each $0

Permits each $0

Water Assume a total $45/mo residential water bill; provide 1/2 the cost12 mo $45 each $540

ODCs Subtotal $790

Total ODCs $790

LABOR & ODC SUBTOTAL $1,091TOTAL $1,091

Annual Maintenance and Monitoring


6/12/2017 Page 1 of 1

appendix d bioavailability technical memorandumwheat ridge, colorado 80215 303-274-5400 page 1 of...

Documents