jeffrey morris, 1 ann maest, 1 alison craven, 2 and joshua lipton 1 1 stratus consulting inc
DESCRIPTION
The Biotic Ligand Model: Unresolved Scientific Issues and Site- and Species-specific Effects on Predicted Cu Toxicity. Jeffrey Morris, 1 Ann Maest, 1 Alison Craven, 2 and Joshua Lipton 1 1 Stratus Consulting Inc. 2 University of Colorado-Boulder Boulder, CO - PowerPoint PPT PresentationTRANSCRIPT
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STRATUS CONSULTING
The Biotic Ligand Model: Unresolved Scientific Issues and
Site- and Species-specific Effects on Predicted Cu Toxicity
Jeffrey Morris,1 Ann Maest,1 Alison Craven,2 and Joshua Lipton1
1 Stratus Consulting Inc.2 University of Colorado-Boulder
Boulder, CO
EPA Hardrock Mining Conference 2012: Advancing Solutions for a New Legacy
Denver, COApril 4, 2012
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STRATUS CONSULTING 2
Background
The Biotic Ligand Model (BLM) is used to evaluate the site-specific toxicity of copper to aquatic organisms– Can be used to develop site-specific water
quality criteria (EPA, 2007)– Ongoing investigations into different aspects
of the Cu-BLM: geochemical, biological Current research: quantifying Cu-organic
carbon complexation in low hardness waters and subsequent implications for predicting fish toxicity using the BLM
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STRATUS CONSULTING
Presentation Outline
Overview of BLM Site-specific Cu-binding studies and metal-
DOM binding Cu toxicity in low-hardness waters Approaches to incorporating Cu binding
constants of “biotic ligands” into BLM
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STRATUS CONSULTING
BLM: Background
Water quality criteria for Cu (and many other metals) expressed as a function of hardness.– Increased hardness => decreased toxicity =>
higher WQC• Observed in many controlled experiments
Well understood that Cu toxicity to aquatic biota is affected by other constituents in water– Dissolved organic carbon has been found to
reduce Cu toxicity BLM developed to numerically address the influence
of multiple chemical factors on Cu toxicity
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STRATUS CONSULTING
BLM: Conceptual Model
Cu speciation/sorption to gill binding sites (“biotic ligand”) affects bioavailability and toxicity
http://www.hydroqual.com/wr_blm.html
LBL
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STRATUS CONSULTING
BLM: Conceptual Model (cont.)
BLM: predict concentration of dissolved Cu that would cause toxicity to aquatic biota over a range of water quality conditions– BLM uses “lethal accumulation” on gill to
estimate toxicity Three elements of model
– Geochemical speciation code CHESS (Santore and Driscoll, 1995)• Calculates inorganic metal speciation
– WHAM V model (Tipping, 1994)• Calculates degree of metal-organic
interaction– Biotic ligand (e.g., fish gill) binding constant
(Di Toro et al., 2001)
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Geochemical Speciation
Metal-organic Interactions
Binding to fish gill
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STRATUS CONSULTING
BLM Illustration: Acute WQC in the Presence of DOC
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STRATUS CONSULTING
Evaluating Cu-Organic Complexation in a Low-hardness Stream
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STRATUS CONSULTING
Site-specific Cu Binding Studies
Purpose: Evaluate Cu binding properties of ambient DOM
Performed laboratory studies of site-specific Cu binding in low-hardness waters– Finding: Stream DOM had less ability to
complex Cu than calculated by the BLM
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STRATUS CONSULTING
Methods
Isolated DOM from three low hardness headwater streams in AK
Cu-ISE titration– Fit to a 2-ligand model
CLE-SPE (competitive ligand exchange-solid phase extraction)– Environmentally relevant [Cu]
Used MINTEQ and empirically derived “effective log K” to estimate free Cu2+
Compared to BLM free Cu
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STRATUS CONSULTING
Ambient Water Quality
pH: 7.1–7.6 Alkalinity: 13.5–33.9 mg/L as CaCO3
Hardness: 13.4–28.4 mg/L as CaCO3
Dissolved Cu: 0.2–1.3 mg/L DOC: 1.3–2.2 mg/L
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STRATUS CONSULTING
0
2
4
6
8
10
12
14
0.0001 0.001 0.01 0.1 1
Cu: DOM (mg/L Cu : mg/L DOM)
log
K (
M -1
)
NK
SK
UT
Results: Titration and CLE-SPE
“Effective log K” (net Cu complexation) of site waters a function of Cu:DOM ratio
Increasing Cu relative to ambient DOM results in lower log K
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STRATUS CONSULTING
Comparison with Other Studies
0
5
10
15
20
25
1.E-06 1.E-05 1.E-04 1.E-03 1.E-02 1.E-01 1.E+00
Cu:DOM (mg/L Cu:mg/L DOM)
log
K (
M -1
)
Pebble MinePublished DataSR HPOAEvergladesWilliams Lake
This Study
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STRATUS CONSULTING
Site-Specific Cu Binding Summary
Cu-organic binding a function of relative amounts of Cu and DOM present – net affinity changes as more Cu is added– Distribution of binding sites in DOM
• High affinity (high log K) sites less abundant than lower affinity sites
• As Cu concentrations increase, progressive shift to binding with lower affinity sites
Cu:DOM ratio is important in predicting complexation
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STRATUS CONSULTING
Modeling Free Cu: Empirical Data
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Total dissolved Cu (g/L)
0.1 1 10 100
Fre
e C
u ( g
/L)
0.00001
0.0001
0.001
0.01
0.1
1
10Experimental
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STRATUS CONSULTING
Modeling Free Cu: Comparison to BLM
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Total dissolved Cu (g/L)
0.1 1 10 100
Fre
e C
u ( g
/L)
0.00001
0.0001
0.001
0.01
0.1
1
10ExperimentalBLM
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STRATUS CONSULTING
Adjusting DOC Concentrations in BLM to “Match” Empirical Data
Previous authors (De Schamphelaere et al., 2004; Welsh et al., 2008) proposed adjusting DOC concentration (input to BLM) to match Cu-DOC complexation toxicity results– Adjustment factor of 2 used
This study: adjust [DOC] from 2.2 mg/L to approx. 0.3 mg/L to match experimental data– Adjustment factor of approximately 8
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STRATUS CONSULTING
Adjusting DOC Concentrations
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Total dissolved Cu (g/L)
0.1 1 10 100
Fre
e C
u ( g
/L)
0.00001
0.0001
0.001
0.01
0.1
1
10ExperimentalBLM
DOC adjustment in BLMfrom 2.2 to ~0.3 mg/L
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STRATUS CONSULTING
Implications: Estimating Cu Toxicity with Adjusted DOC
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Total dissolved Cu (g/L)
0 1 2 3 4 5 6 7 8 9 10
Cu
TU
(C
u/C
MC
)
1
2
3
4
5
6
7
8
9
10DOC = 2.2 mg/LDOC adjusted (0.29 - 0.51 mg/L)
~5-fold reduction in effects concentration
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STRATUS CONSULTING
Summary of Cu Binding Results
BLM under-predicted free Cu compared to site-specific estimates
Needed to lower DOC in BLM to attain same free Cu results – similar findings to other researchers (e.g., De Schamphelaere et al., 2004; Welsh et al., 2008), but somewhat greater magnitude of adjustment
Results in a ~ 5-fold decrease in instantaneous WQC compared to BLM
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STRATUS CONSULTING
Other Issues: Modeling Cu in Low Hardness Waters? Ran series of BLM simulations to further
evaluate implications of Cu-DOC complexation in low hardness waters
Used site-water data as base water quality– Temperature = 19°C– pH = 7.13– DOC = 2.17 mg/L (HA = 10%)– Ca, Mg = 4.09, 1.1 mg/L (hardness = 14.7 mg/L CaCO3)
– K = 0.1 mg/L– SO4 = 1.7 mg/L
– Cl = 0.5 mg/L– Alkalinity = 22.3 mg/L CaCO3
– S = 0.001 mg/L (default, non-functional)
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STRATUS CONSULTING
Simulation Results: Varying Hardness; Unadjusted DOC
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Hardness (mg/L as CaCO3)
0 50 100 150 200
CM
C
g C
u/L
(in
sta
nta
ne
ou
s W
QC
)
0
5
10
15
20Hardness-basedBLM, DOC = 2.2 mg/L
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STRATUS CONSULTING
Simulation Results: Rainbow Trout LC50 Varying Hardness and DOC
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Hardness (mg/L as CaCO3)
0 50 100 150 200
BL
M-c
alcu
late
d C
u L
C50
( g
/L)
for
RB
T
0
25
50
75
100
125
150
175
200
225
250
275
300
5210.50.05
DOC mg/L
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STRATUS CONSULTING
Hardness Simulation: Artifact of DOC Complexation?
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Hardness (mg/L as CaCO3)
0 20 40 60 80 100
BL
M-c
alcu
late
d C
u L
C50
( g
/L)
for
RB
T
100
105
110
115
1202
DOC mg/L
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STRATUS CONSULTING
Equivalent LC50, 10-fold Difference in Hardness
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DOC mg/L
Hardness (mg/L as CaCO3)
0 20 40 60 80 100
BL
M-c
alcu
late
d C
u L
C50
( g
/L)
for
RB
T
100
105
110
115
1202
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STRATUS CONSULTING
BLM Simulations: Summary
Outputs at low hardness in BLM suggests Cu preferentially bound to DOC rather than the biotic ligand (gill)
BLM may under-predict toxicity of Cu because of DOC complexation (log K data)
Degree of under-predicted toxicity of Cu may be exacerbated in soft water
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STRATUS CONSULTING
Predicting Cu Toxicity: Implications of Biotic Ligand Component Cu toxicity a function of relative
complexation: log K of DOC v. log K of biotic ligand
Biotic ligand not as refined as other two BLM components
Current BLM uses a constant log K value for the biotic ligand– Shifts in relative log K of DOC in water v.
constant log K in biotic ligand alter predicted toxicity
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STRATUS CONSULTING
Biotic Ligand (gill) Log K in the BLM
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STRATUS CONSULTING
Log K in the BLM
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Gill Log K
0 2 4 6 8 10 12
BL
M-c
alcu
late
d C
u L
C50
( g
/L)
for
RB
T
0
200
400
600
800
1000
0.0525
Log KCu-gill
fathead minnowa
DOC mg/L
aPlayle et al. 1993. Ca = 5.7 mg/L; used in BLM
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STRATUS CONSULTING
Shifts in Apparent Gill Log K with Hardness?
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Bielmyer et al., 2008.
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STRATUS CONSULTING
Measured Gill Log Ks in Different Species
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Gill Log K
0 2 4 6 8 10 12
BL
M-c
alc
ula
ted
Cu
LC
50 ( g
/L)
for
RB
T
0
200
400
600
800
1000
0.0525
Log KCu-gill
fathead minnowa
Log KCu-gill
rainbow troutyellow perchb
DOC mg/L
aPlayle et al. 1993. Ca = 5.7 mg/L; used in BLM
bTaylor et al. 2003. Ca = 5.2 mg/L
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STRATUS CONSULTING
Effects of Varying Log K on Predicted Toxicity
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Gill Log K
0 2 4 6 8 10 12
BL
M-c
alcu
late
d C
u L
C50
( g
/L)
for
RB
T
0
20
40
60
80
100
120
140
2
Log KCu-gill
fathead minnowa
Log KCu-gill
rainbow troutyellow perchb
DOC mg/L
aPlayle et al. 1993. Ca = 5.7 mg/L; used in BLM
bTaylor et al. 2003. Ca = 5.2 mg/L
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STRATUS CONSULTING
Biotic Ligand Log K Summary
Gill Log K known to change with water chemistry – dynamic
Using Log Ks developed for different species may result in ~ 2-fold change in LC50 at DOC = 2 mg/L
Variable log K in gill + variable log K in site water = variable predicted toxicity
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STRATUS CONSULTING
Conclusions
BLM under-predicted free Cu compared to site-specific estimates
Needed to lower DOC in BLM to attain same free Cu results – similar findings to other researchers (e.g., De Schamphelaere et al., 2004; Welsh et al., 2008), but somewhat greater magnitude of adjustment– ~ 5-fold decrease in instantaneous WQC
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STRATUS CONSULTING
Conclusions (cont.)
Simulation modeling with BLM suggests Cu preferentially bound to DOC rather than the biotic ligand (gill) at low hardness
Degree of under-predicted Cu toxicity Variable log K in gill + variable log K in site
water = variable predicted toxicity Uncertainty in Cu toxicity can be reduced
with supplemental site-specific data– Cu-DOC complexation– Species-specific toxicity testing
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