overview: biotic ligand model · 2008-06-03 · 10-22-07 toxicity - variable with time and place....
TRANSCRIPT
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Water Quality Criteria: An Introduction to the Biotic Ligand Model (BLM)
Water Quality Criteria: An Introduction to the Biotic Ligand Model (BLM)
USEPA November 2007Arlington, VA
USEPA November 2007Arlington, VA
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Water Quality Criteria (WQC)Water Quality Criteria (WQC)
Clean Water Act- Section 304(a)
1985 Guidelines
Criteria values- No negative effects
Clean Water Act- Section 304(a)
1985 Guidelines
Criteria values- No negative effects
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Toxicity- Variable with time and place.Water chemistry- Controlled by constituents as pH, Ca, Na, CO3
and Dissolved Organic Carbon (DOC).• Consequence
- WQC do not reflect the effects of waterchemistry factors entirely.
Toxicity- Variable with time and place.Water chemistry- Controlled by constituents as pH, Ca, Na, CO3
and Dissolved Organic Carbon (DOC).• Consequence
- WQC do not reflect the effects of waterchemistry factors entirely.
Problem with Metals CriteriaProblem with Metals Criteria
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Correction factorsCorrection factors
Water Hardness Equation
Water Effect Ratio
Water Hardness Equation
Water Effect Ratio
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Effect of Hardness on ToxicityEffect of Hardness on ToxicityFathead Minnow Data
Effect of Hardness on Copper Toxicity to Fathead Minnows(Erickson et al., 1996)
0
1
2
3
4
5
0 50 100 150 200Hardness (mg/L as CaCO3)
Cop
per L
C50
(µm
ol/L
)
R2=0.954
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Effect of Dissolved Organic Carbon on Toxicity
Effect of Dissolved Organic Carbon on Toxicity
R2 = 0.76
10
100
1000
10000
0.1 1 10 100Dissolved Organic Carbon (mg C / L)
Cu
LC50
(µg
/ L)
Meas Cu LC50Linear (Meas Cu LC50)
Data from Clemson U. (WERF BLM Project)
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Limits of Hardness NormalizationLimits of Hardness Normalization
• Under-protective at low pH
• Over-protective at higher DOC
• Requires Water Effect Ratio (WER) for correction
• Under-protective at low pH
• Over-protective at higher DOC
• Requires Water Effect Ratio (WER) for correction
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WATER EFFECT RATIOWATER EFFECT RATIO
Quantifies the toxicity of a pollutant in site water as compared to lab water
Quantifies the toxicity of a pollutant in site water as compared to lab water
Site-Specific Criteria = WER x National CriteriaSite-Specific Criteria = WER x National Criteria
Site Water Toxicity Concentration
Lab Water Toxicity Concentration
Site Water Toxicity Concentration
Lab Water Toxicity ConcentrationWER = WER =
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The Alternative: Biotic Ligand ModelThe Alternative: Biotic Ligand Model
• Evaluates the effects of other factors affecting toxicity.
• Evaluates the effects of other factors affecting toxicity.
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Generalized BLM FrameworkGeneralized BLM Framework
Competing CationsCompeting Cations
Metal ionM+2
Free
H+
Ca+2
Na+
OrganicLigandComplexes
OrganicLigandComplexes
InorganicLigandComplexes
InorganicLigandComplexes
Gill SurfaceGill Surface(biotic ligand)(biotic ligand)
Metal BindingSite
Metal BindingSite
M OH+
M CO3+
M Cl+
M - DOC Metal ionM+2
Free
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Biotic Ligand ModelBiotic Ligand Model
Based on:
Free Ion Model (1993): Chemical model
Gill Model (1996):Toxicological model
Based on:
Free Ion Model (1993): Chemical model
Gill Model (1996):Toxicological model
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Biotic Ligand Model: What does it do?Biotic Ligand Model: What does it do?
The BLM:
• Complements the existing EPA Guidelines procedure,
• Accounts for the effect of water chemistry, in addition to hardness, and
• Leads to an improved capability to assess potential adverse effects.
The BLM:
• Complements the existing EPA Guidelines procedure,
• Accounts for the effect of water chemistry, in addition to hardness, and
• Leads to an improved capability to assess potential adverse effects.
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BLM Parameters (realities and assumptions)BLM Parameters (realities and assumptions)
Inorganicthermodynamic database
Organicchemical measurements with Organic Matter
Biologicallimited number of accumulation datasetsparameters assumed to be consistent for other organisms, since ion-transport mechanisms are similar, andLA50 used to account for variation in species sensitivity.
Inorganicthermodynamic database
Organicchemical measurements with Organic Matter
Biologicallimited number of accumulation datasetsparameters assumed to be consistent for other organisms, since ion-transport mechanisms are similar, andLA50 used to account for variation in species sensitivity.
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Comparison of ApproachesComparison of Approaches
WER: Comprehensive, but sampling error is high, andprecision is low.
BLM: Limited, but sampling error low, and precision is high.
WER: Comprehensive, but sampling error is high, andprecision is low.
BLM: Limited, but sampling error low, and precision is high.
BLM versus WERBLM versus WER
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Comparison of approaches (continuation)Comparison of approaches (continuation)
BLM advantages:Is implemented directly into the criterion as replacement for water hardness.
Water chemistry data are cheaper to obtain.
Improves our understanding of how water chemistry affects metal availability and toxicity.
A combination of bioassay-based methods and computational methods may be used.
BLM advantages:Is implemented directly into the criterion as replacement for water hardness.
Water chemistry data are cheaper to obtain.
Improves our understanding of how water chemistry affects metal availability and toxicity.
A combination of bioassay-based methods and computational methods may be used.
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Question: Can accumulation be uniquely related to a toxic effect? Yes.Question: Can accumulation be uniquely related to a toxic effect? Yes.(Data: MacRae, 1994 and 1999)
GILL LA50~10 nmol/gw
24-Hour Gill Cu (nmol/g wet weight)0
0
20
40
60
80
100
TOTAL Cu = 10 ug/LTest ATest B
10 20 30 40 50
120-
H our
Juve
n ile
Rain
bow
Trou
t Mor
t alit
y( %
)
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Predicted Versus Measured LC50sPredicted Versus Measured LC50s
10
100
1000
10000
10 100 1000 10000Measured Cu LC50 (µg/L)
Pred
icte
d C
u LC
50 (µ
g/L)
Fathead Minnow 96h Static Exposures(Erickson et al., 1987)
K+2 added
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RecapitulationRecapitulation
Water chemistry affects metal toxicity.
Water hardness and Water Effect Ratio used as correction factors.
BLM is a replacement for water hardness.
Water chemistry affects metal toxicity.
Water hardness and Water Effect Ratio used as correction factors.
BLM is a replacement for water hardness.
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Beginning with consideration of species sensitivity, we will explore how the BLM may be applied to other organisms and to other metals (e.g., Ag, Cd, Ni, Pb and Zn).
Beginning with consideration of species sensitivity, we will explore how the BLM may be applied to other organisms and to other metals (e.g., Ag, Cd, Ni, Pb and Zn).
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Reference WaterSite WaterWER
Mysid Polychaete Copepod Oyster Mussel0
100
200
300
400
500
0
100
200
300
400
500
WER
0
5
10
15
20
25C
oppe
r LC
50 (µ
g/L )
Importance of Species SensitivityImportance of Species Sensitivity
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Application to Other OrganismsApplication to Other Organisms
BLM Interspecies Calibration
1
10
100
1 10 100
Measured LC50
BLM
Pre
dict
ed L
C50
+LA50
-LA50
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Cu BLM: Invertebrate SummaryCu BLM: Invertebrate Summary
1
10
100
1000
1 10 100 1000
Measured Cu LC50 (µg/L)
BLM
Pre
dict
ed C
u LC
50 (µ
g/L) D. magna
D. pulicariaH. aztecaC. dubiaD. pulex
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Ag BLMAg BLM
A Comparison of BLM Predicted vs Measured Silver LC50
0.1
1
10
100
0.1 1 10 100Measured Ag LC50 (μg/L)
BLM
Pre
dict
ed A
g LC
50 ( μ
g/L)
Fathead Minnows, LA50 = 8.98 nmol/gwRainbow Trout, LA50 = 10.82 nmol/gwDaphnia magna, LA50 = 1.13 nmol/gwCeriodaphnia dubia (Lab.), LA50 = 0.34 nmol/gwCeriodaphnia dubia (Site) LA50 = 0.34 nmol/gw
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Ni BLM: Fathead Minnow & Invertebrate ResultsNi BLM: Fathead Minnow & Invertebrate Results
A Comparison of BLM Predicted vs Measured Nickel LC50
0.01
0.1
1
10
100
1000
0.01 0.1 1 10 100 1000Measured Ni LC50 (mg/L)
BLM
Pre
dict
ed N
i LC
50 (m
g/L) Fathead Minnows, 1-6 g
Fathead Minnows, 1-2 gFathead Minnows, < 24hr oldDaphnia magnaCeriodaphnia dubiaCeriodaphnia dubia
pH effects
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Pb BLMPb BLM
0.1
1
10
100
1000
0.1 1 10 100 1000Measured Pb LC50 (mg / L)
BLM
Pre
dict
ed L
C50
(mg
/ L)
Schubaer-Berigan, C. dubiaChapman D. magnaPickering and Henderson, Fathead minnowSchubaer-Berigan, Fathead minnow
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Summary and Conclusions Summary and Conclusions The BLM:
Can develop WQC in less time and at lower costs,
Can develop estimates of spatial or temporal variation in metal bioavailability,
Has been successfully applied to a number of organisms with varying sensitivity to metals, and
Agrees remarkably well with bioassay-based WER studies.
The BLM:Can develop WQC in less time and at lower costs,
Can develop estimates of spatial or temporal variation in metal bioavailability,
Has been successfully applied to a number of organisms with varying sensitivity to metals, and
Agrees remarkably well with bioassay-based WER studies.
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Model equationModel equation
BLBC
ALACBA ff
ffECEC
,,
,,
x x
X =BLBC
ALACBA ff
ffECEC
,,
,,
x x
X =
Where:• EC refers to the water effect concentrations. • Subscripts A and B refer to different exposure conditions. • Subscript C refers to the concentration of competing cations at thedifferent exposure conditions.
• Subscript L refers to the concentration of the complexing ligandsat the different exposure conditions.
Where:• EC refers to the water effect concentrations. • Subscripts A and B refer to different exposure conditions. • Subscript C refers to the concentration of competing cations at thedifferent exposure conditions.
• Subscript L refers to the concentration of the complexing ligandsat the different exposure conditions.
For BLM application to criteria, the important concern is whether fC and fL are suitably formulated and parameterized, and not with issues that relate to lethal accumulations and accumulation capacities.
For BLM application to criteria, the important concern is whether fC and fL are suitably formulated and parameterized, and not with issues that relate to lethal accumulations and accumulation capacities.
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How is the BLM actually used?How is the BLM actually used?
Since the BLM is designed to predict LC50s, it provides a way topredict the site water LC50s from water chemistry measurements alone without need to perform costly bioassays.
Some advantages of using the BLM are as follows:Water chemistry data are cheaper to obtain than are bioassays.
Historical data may be used providing for the capability to makehind-casts.
The results are obtained in the context of a rational framework thatfacilitates the attainment of an improved understanding of how waterchemistry affects metal availability and toxicity.
A combination of bioassay-based methods and computationalmethods may be used.
Since the BLM is designed to predict LC50s, it provides a way topredict the site water LC50s from water chemistry measurements alone without need to perform costly bioassays.
Some advantages of using the BLM are as follows:Water chemistry data are cheaper to obtain than are bioassays.
Historical data may be used providing for the capability to makehind-casts.
The results are obtained in the context of a rational framework thatfacilitates the attainment of an improved understanding of how waterchemistry affects metal availability and toxicity.
A combination of bioassay-based methods and computationalmethods may be used.
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EPA Draft Copper CriteriaEPA Draft Copper Criteria
Draft document: BLM based
freshwater criterionreplacement for the hardness equation
Draft document: BLM based
freshwater criterionreplacement for the hardness equation
Released December 2003
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Released February 2007
BLM software Version 2.1.2: An overviewBLM software Version 2.1.2: An overview
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BLM software: an overviewBLM software: an overviewReleased February 2007
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BLM window descriptionBLM window descriptionReleased February 2007
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BLM menu descriptionsBLM menu descriptionsReleased February 2007
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BLM interface populated with water chemistry dataBLM interface populated with water chemistry dataReleased February 2007
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BLM ¡¡¡¡¡Help !!!!!BLM ¡¡¡¡¡Help !!!!!Released February 2007
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BLM Input parameters checkBLM Input parameters checkReleased February 2007
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BLM Input parameters unit selectionBLM Input parameters unit selectionReleased February 2007
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BLM simulation optionsBLM simulation optionsReleased February 2007
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BLM run completion messageBLM run completion messageReleased February 2007
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BLM WQC reportBLM WQC reportReleased February 2007
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BibliographyBibliographyCited and Supplemental References on the BLM and Related Topics
Chapman, G.A., S. Ota and F. Recht, January 1980. “Effects of Water Hardness on the Toxicity of Metals to Daphnia magna,” a USEPA project status report.City of San José. 1998. Development of a site-specific water quality criterion for copper in South San Francisco Bay. San José/Santa Clara Water Pollution Control Plant, San José, CA. 171 pp.Cusimano, R.F., D.F. Brakke and G.A. Chapman 1986. Effects of pH on the toxicities of cadmium, copper and zinc to steelhead trout (Salmo gairdneri). Can. J. Fish. Aquat. Sci. 43(8):1497-1503.Davis, A. and D. Ashenberg. 1989. The aqueous geochemistry of the Berkeley Pit, Butt, Montana, U.S.A. Appl. Geochem. 4:23-36.Dunbar, L.E., 1996b. “Derivation of a Site-Specific Dissolved Copper Criteria for Selected Freshwater Streams in Connecticut,” Falmouth MA, Connecticut DEP, Water Toxics Program, Falmouth, MA. (excerpt from an uncited report that was received from author)Erickson, R.J., D.A. Benoit and V.R. Mattson, 1987. “A Prototype Toxicity Factors Model For Site-Specific Copper Water Quality Criteria,”revised September 5, 1996, United States Environmental Protection Agency, Environmental Research Laboratory-Duluth, Duluth, MN.Erickson, R.J., D.A. Benoit, V.R. Mattson, H.P. Nelson Jr. and E.N. Leonard, 1996. “The Effects of Water Chemistry on the Toxicity of Copper to Fathead Minnows,” Environmental Toxicology and Chemistry, 15(2): 181-193.MacRae, R.K., December, 1994. “The Copper Binding Affinity of Rainbow Trout (Oncorhynchus mykiss) and Brook Trout (Salvelinus fontinalis) Gills,” a thesis submitted to the Department of Zoology and Physiology and The Graduate School of the University of Wyoming in partial fulfillment of the requirements for the degree of Master of Science in Zoology and Physiology.MacRae, R.K., D.E. Smith, N. Swoboda-Colberg, J.S. Meyer and H.L. Bergman, 1999. “Copper Binding Affinity of Rainbow Trout (Oncorhynchus mykiss) and Brook Trout (Salvelinus fontinalis) Gills: Implications for Assessing Bioavailable Metal,” Environmental Toxicology and Chemistry, 18(6): 1180-1189.Meyer, J.S., R.C. Santore, J.P. Bobbitt, L.D. DeBrey, C.J. Boese, P.R. Paquin, H.E. Allen, H.L. Bergman and D.M. DiToro, 1999. “Binding of Nickel and Copper to Fish Gills Predicts Toxicity When Water Hardness Varies, But Free-ion Activity Does Not,” Environmental Science and Technology, 33(6): 913-916.Pickering, Q.H., and C. Henderson, 1966. “The Acute Toxicity of Some Heavy Metals to Different Species of Warmwater Fishes,” International Journal of Air and Water Pollution, 10: 453-463.Playle, R., L. Hollis, N. Janes and K. Burnison, August 6-9, 1995. “Silver, Copper, Cadmium, Dissolved Organic Carbon, and Fish,”extended abstract in Transport, Fate and Effects of Silver in the Environment, 3rd International Conference Proceedings of Argentum, an International Conference, Washington, DC.Schubauer-Berigan, M.K., J.R. Dierkes, P.D. Monson and G.T. Ankley, 1993. “pH-Dependent Toxicity of Cd, Cu, Ni, Pb and Zn to Ceriodaphnia dubia, Pimephales promelas, Hyalella azteca and Lumbriculus variegatus,” Environmental Toxicology and Chemistry, 12: 1261-1266.Stephan, C.E., D.I. Mount, D.J. Hansen, J.H. Gentile, G.A. Chapman and W.A. Brungs, January 1985. “Guidelines for Deriving Numerical National Water Quality Criteria for the Protection of Aquatic Organisms and Their Uses,” USEPA Office of Research and Development, Environmental Research Laboratories: Duluth, Minnesota; Narragansett, Rhode Island and Corvallis, Oregon, 98 pp.
Cited and Supplemental References on the BLM and Related Topics
Chapman, G.A., S. Ota and F. Recht, January 1980. “Effects of Water Hardness on the Toxicity of Metals to Daphnia magna,” a USEPA project status report.City of San José. 1998. Development of a site-specific water quality criterion for copper in South San Francisco Bay. San José/Santa Clara Water Pollution Control Plant, San José, CA. 171 pp.Cusimano, R.F., D.F. Brakke and G.A. Chapman 1986. Effects of pH on the toxicities of cadmium, copper and zinc to steelhead trout (Salmo gairdneri). Can. J. Fish. Aquat. Sci. 43(8):1497-1503.Davis, A. and D. Ashenberg. 1989. The aqueous geochemistry of the Berkeley Pit, Butt, Montana, U.S.A. Appl. Geochem. 4:23-36.Dunbar, L.E., 1996b. “Derivation of a Site-Specific Dissolved Copper Criteria for Selected Freshwater Streams in Connecticut,” Falmouth MA, Connecticut DEP, Water Toxics Program, Falmouth, MA. (excerpt from an uncited report that was received from author)Erickson, R.J., D.A. Benoit and V.R. Mattson, 1987. “A Prototype Toxicity Factors Model For Site-Specific Copper Water Quality Criteria,”revised September 5, 1996, United States Environmental Protection Agency, Environmental Research Laboratory-Duluth, Duluth, MN.Erickson, R.J., D.A. Benoit, V.R. Mattson, H.P. Nelson Jr. and E.N. Leonard, 1996. “The Effects of Water Chemistry on the Toxicity of Copper to Fathead Minnows,” Environmental Toxicology and Chemistry, 15(2): 181-193.MacRae, R.K., December, 1994. “The Copper Binding Affinity of Rainbow Trout (Oncorhynchus mykiss) and Brook Trout (Salvelinus fontinalis) Gills,” a thesis submitted to the Department of Zoology and Physiology and The Graduate School of the University of Wyoming in partial fulfillment of the requirements for the degree of Master of Science in Zoology and Physiology.MacRae, R.K., D.E. Smith, N. Swoboda-Colberg, J.S. Meyer and H.L. Bergman, 1999. “Copper Binding Affinity of Rainbow Trout (Oncorhynchus mykiss) and Brook Trout (Salvelinus fontinalis) Gills: Implications for Assessing Bioavailable Metal,” Environmental Toxicology and Chemistry, 18(6): 1180-1189.Meyer, J.S., R.C. Santore, J.P. Bobbitt, L.D. DeBrey, C.J. Boese, P.R. Paquin, H.E. Allen, H.L. Bergman and D.M. DiToro, 1999. “Binding of Nickel and Copper to Fish Gills Predicts Toxicity When Water Hardness Varies, But Free-ion Activity Does Not,” Environmental Science and Technology, 33(6): 913-916.Pickering, Q.H., and C. Henderson, 1966. “The Acute Toxicity of Some Heavy Metals to Different Species of Warmwater Fishes,” International Journal of Air and Water Pollution, 10: 453-463.Playle, R., L. Hollis, N. Janes and K. Burnison, August 6-9, 1995. “Silver, Copper, Cadmium, Dissolved Organic Carbon, and Fish,”extended abstract in Transport, Fate and Effects of Silver in the Environment, 3rd International Conference Proceedings of Argentum, an International Conference, Washington, DC.Schubauer-Berigan, M.K., J.R. Dierkes, P.D. Monson and G.T. Ankley, 1993. “pH-Dependent Toxicity of Cd, Cu, Ni, Pb and Zn to Ceriodaphnia dubia, Pimephales promelas, Hyalella azteca and Lumbriculus variegatus,” Environmental Toxicology and Chemistry, 12: 1261-1266.Stephan, C.E., D.I. Mount, D.J. Hansen, J.H. Gentile, G.A. Chapman and W.A. Brungs, January 1985. “Guidelines for Deriving Numerical National Water Quality Criteria for the Protection of Aquatic Organisms and Their Uses,” USEPA Office of Research and Development, Environmental Research Laboratories: Duluth, Minnesota; Narragansett, Rhode Island and Corvallis, Oregon, 98 pp.