weight of evidence checklist review aoh work group call june 7, 2006 joe adlhoch - air resource...

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Weight of Evidence Checklist Review AoH Work Group Call June 7, 2006 Joe Adlhoch - Air Resource Specialists, Inc.

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Weight of Evidence Checklist Review

AoH Work Group CallJune 7, 2006Joe Adlhoch - Air Resource Specialists, Inc.

Class I Area Profile → WOE Checklist

Class I Area Profile on the WRAP Technical Support System (TSS)

http://vista.cira.colostate.edu/tss/

Draft WOE Checklist (Step 1)

Summary of available information General Class I area information (location, size,

topography, discussion of importance, etc.) Overview summary of basic data sets:

Visibility monitoring Emission inventories Modeling results

Will vary according to state (e.g., no CMAQ modeling done for AK; some states have international borders)

Style will be customized by each state

Draft WOE Checklist (Step 2)

Analysis of visibility conditions What are current (baseline, 2000-04) visibility

conditions? What is the relative importance of each species?

What does the RHR glide path look like? What are estimated natural visibility conditions? What does the model predict for 2018?

Baseline Conditions at Sawtooth, ID

20% Worst Vis. Days Species Contribution Sulfate Medium Nitrate Low Organics High EC Medium CM Low Soil Low

Uniform Rate of Reasonable Progress Glide PathSawtooth Wilderness - 20% Worst Days

12.5 12.111.2

10.39.5

8.67.7

7.2

12.7

0

5

10

15

20

2000 2004 2008 2012 2016 2020 2024 2028 2032 2036 2040 2044 2048 2052 2056 2060 2064

Year

Ha

zin

ess

In

de

x (D

eci

vie

ws)

Glide Path Natural Condition (Worst Days) Observation Method 1 Prediction

Regional Haze Rule Glide Path for Sawtooth

Model results for the 2018 base case do not predict Sawtooth’s visibility (in terms of deciview) will be on or below the glide path

Draft WOE Checklist (Step 3)

Analysis of visibility conditions by individual species What do individual species glide paths (measured in

extinction) look like? Need to define natural conditions appropriately (following

examples assume “annual average” natural conditions, not 20% worst)

Which species show predicted 2018 values at or below the glide path?

Species Glide Paths for Sawtooth

symbol represents 2018 model prediction

POM, the most significant contributor, does not follow the glide path

(CM is shown for reference only)

Draft WOE Checklist (Step 4)

Review monitoring uncertainties and model performance for each species What level of monitoring uncertainties are associated

with each species? Lab uncertainties (can be calculated from IMPROVE data set Other uncertainties (flow rate problems, clogged filters) may

be difficult to quantify How well does the model predict the monitoring data?

Good model performance is most important for highest contributing species

What does performance look like seasonally and over all?

IMPROVE (top) vs. Model (bottom)

Seasonal variations in major species is reasonably similar

Worst 20% Obs (left) vs Plan02b (right) at SAWT1

0

5

10

15

20

25

30

35

40

45

50

116 137 140 170 179 191 194 197 200 203 206 212 215 218 224 230 233 254 269 296 299 317 _ _ _ Avg

Julian Day in Worst 20% group

bE

XT

(1/

Mm

)

bCM

bSOIL

bEC

bOC

bNO3

bSO4

2002 Model Performance, Worst Days

Carbon somewhat low but reasonable

Sulfate, nitrate and soil similar

CM shows very poor performance

Draft WOE Checklist (Step 5)

Integrate information about each species: monitoring, modeling, and emissions data Do changes in emissions agree with model

predictions for 2018? How do we know what source region of emissions to

compare? Weight emissions by back trajectory residence times to

estimate what emissions have the potential to impact a given Class I area

Do weighted emissions described above support attribution results derived from PSAT and PMF?

POM Glide Slope with Weighted EmissionsMeasured and Projected Particulate Organic Material (POM) and POA Emissions

SAWT1, ID

0

2

4

6

8

10

12

14

16

18

20

20

02

20

08

20

13

20

18

20

23

20

28

20

33

20

38

20

43

20

48

20

53

20

59

20

64

Ex

tin

ctio

n (

Mm

-1)

0

12,000

24,000

36,000

48,000

60,000

72,000

84,000

96,000

108,000

120,000

We

igh

ted

Em

issi

on

s P

ote

nti

al

(to

ns

/ye

ar)

Weighted Emissions Pot. (1)Anthropogenic POAPointAreaOff-Road MobileOn-road MobileOffshore Shipping (3)Oil & GasFire (4)Road DustMixed POAWindblown Dust (3)Natural POAFire (3,4)

Aerosol (2)POMBaseline (+ analytical unc.)GlideslopePredicted 2018 Base CaseAnn. Avg. Nat. Conditions

(1) Weighted Emissions Potential based on annual average emissions and back trajectory residence times for the 20% worst visibility days(2) Measured aerosol based on the 20% worst visibility days(3) Offshore shipping, natural fire, and windblown dust emissions were held constant for the 2018 base case(4) Fire emissions in the plan02 EI represent the entire 5 year baseline period

Baseline Extinction with Lab Uncertainty

Predicted 2018 Extinction

Weighted Emissions

POM Glide Slope with Weighted EmissionsMeasured and Projected Particulate Organic Material (POM) and POA Emissions

SAWT1, ID

0

2

4

6

8

10

12

14

16

18

20

20

02

20

08

20

13

20

18

20

23

20

28

20

33

20

38

20

43

20

48

20

53

20

59

20

64

Ex

tin

ctio

n (

Mm

-1)

0

12,000

24,000

36,000

48,000

60,000

72,000

84,000

96,000

108,000

120,000

We

igh

ted

Em

issi

on

s P

ote

nti

al

(to

ns

/ye

ar)

Weighted Emissions Pot. (1)Anthropogenic POAPointAreaOff-Road MobileOn-road MobileOffshore Shipping (3)Oil & GasFire (4)Road DustMixed POAWindblown Dust (3)Natural POAFire (3,4)

Aerosol (2)POMBaseline (+ analytical unc.)GlideslopePredicted 2018 Base CaseAnn. Avg. Nat. Conditions

(1) Weighted Emissions Potential based on annual average emissions and back trajectory residence times for the 20% worst visibility days(2) Measured aerosol based on the 20% worst visibility days(3) Offshore shipping, natural fire, and windblown dust emissions were held constant for the 2018 base case(4) Fire emissions in the plan02 EI represent the entire 5 year baseline period

Calculating Weighted Emissions Potential for a Class I Area

X =

Emissions Residence Times Weighted Emissions Potential

Use annual average emissions Use residence times based on 3 – 5 years of 8-day back trajectories

(20% worst days or all days) Weight the residence times by 1/distance from Class I area

(approximates dispersion and deposition) Very low residence time values have been ignored Results do not take into account chemical reactions (or biogenic VOC

emissions for secondary particulate formation)

Sawtooth: Primary Organic Aerosol

Total POA emissions X residence time = weighted emissions potential

Weighted emissions potential represents most probable source region emissions which contribute to POM at the selected monitoring site.

Estimating Relative Impacts of Emissions Source Regions The goal is to give states a tool to investigate

emissions source regions likely to impact their Class I areas

Review weighted emissionsby source region (states)Review total emissionswithin 2, 4, and 8 grid cellsof the site

Ultimately compare results with PSAT and/or PMF analyses

Strength of POA Source Regions: Weighted

Arizon

a

Califo

rnia

Colora

doId

aho

Mon

tana

Nevad

a

New_M

exico

North

_Dak

ota

Orego

n

South

_Dak

ota

Utah

Was

hingt

on

Wyo

ming

Pacific

_Offs

hore

CENRAP

Easte

rn_U

S

Mex

ico

Canad

a

Re

lati

ve

Sc

ale

WB_Dust

Fugitive_Dust

Road_Dust

Natural_Fire

Anthro_Fire

Off-Road_Mobile

On-Road_Mobile

Off-Shore

Oil&Gas

Area

Point

Biogenic

Draft WOE Checklist (Step 6)

Investigate specific questions that arise in steps 2 – 6 Review historical trends (if sufficient data exists) Review distributions of IMPROVE mass, and expected changes

predicted by the model Review natural, episodic events for their potential impact Do the results so far make sense? If not, deeper investigation

of data sets may be required Are there reasonable explanations for species that show and

don’t show progress along the glide path? Consider the other factors mandated by the RHR to determine

reasonable progress

Draft WOE Checklist (Step 7)

Repeat steps 2 – 6 with emissions and model results from various control strategies How do specific control strategies affect the outcome?

Draft WOE Checklist (Step 8)

Review available attribution information and determine which states need to consult about which Class I areas PSAT will be available for sulfate and nitrate (and

possible some portion of organics) PMF will be available for all species (?), but may be

used primarily for carbon and dust Emissions weighted by residence times will be

available for all species (pending certain sensitivity tests and caveats)