total dissolved solids: the challenges ahead us epa region 3 freshwater biology team wheeling, wv
TRANSCRIPT
Total Dissolved Solids: The Challenges Ahead
US EPA Region 3Freshwater Biology Team
Wheeling, WV
Freshwater Biology Team, EPA R3, EAID, OMA
• FBT Members– Amy Bergdale, Frank
Borsuk, Kelly Krock, Maggie Passmore, Greg Pond, Louis Reynolds
• Assist the states in methods development, bioassessment, biocriteria
• Assist EPA R3 in use of biological data– WQS, monitoring, TMDLs,
NPDES, superfund, etc.– Perform special studies
Background
• Many states have identified “ionic toxicity”, conductivity and/or total dissolved solids (TDS) as a stressor or pollutant in their integrated lists.
• EPA has also identified TDS (and component ions) as a stressor impairing aquatic life.
• EPA lacks aquatic life criteria for TDS mixtures.
• Some TMDLs have been deferred due to lack of criteria.
• We also need criteria for effluent limits for discharge permits.
What We Know
• Some component ions are toxic to aquatic life.
• Ex. Mount et al 1997 , acute endpointsK+ > HCO3
- =Mg2+ > Cl- > SO42-
• Laboratory fish are more tolerant than laboratory inverts.
• Test duration important.• Chronic endpoints important.• Resident fish are more tolerant than resident
inverts.
Mount et al1997.C. Dubia More Sensitive toTDS than D. magna or fatheads.
What We Know
• Ion mixtures have varying toxicity• Ion mixtures source specific
– Alkaline coal mine drainage (HCO3- ,
Mg2+, Ca2+, SO42- )
– Marcellus Shale Brine (Na+, Cl-,SO42-)
– Coal Bed Methane (Na+, HCO3- ,SO4
2-)
What We Know
• Effects synergistic, additive, or ameliorative
• Depends on the ions and their concentrations
• In some systems (e.g. Appalachian headwater streams) lab controlled toxicity tests are not a good predictor of instream aquatic life use impairment.
Two Webinars on TDS (2009)
• Toxicity testing approaches to develop criteria for individual ions– Surrogate organisms– Iowa: chloride and sulfate– Illinois: sulfate
• Empirical approaches– bioassessment and water quality data to
develop a criterion for an ion mixture:– Ex. Alkaline mine drainage in southern WV and
KY Appalachian streams.
The Case for Single Ion Criteria• Lab experiments are controlled• Other stressors are excluded• Toxicity testing data deemed more “defensible”• Pollutant specific criteria instead of integrative
parameters such as TDS or conductivity– Easier to implement than narrative criteria– Easier to check compliance– Permit writers understand it
• Can still incorporate site-specific conditions• Resources will focus on source reduction• Regulating TDS “futile”; Ion mixtures too
complex.
Chloride LC50 vs. HardnessC. dubia
LC 50 VS. Hardness
LC50 = 440.74*(Hardness)0.2144
R2 = 0.8246
100
1000
10000
10 100 1000
Hardness (Caco3 mg/l)
LC
50
(m
g/l
)
Chloride LC50 vs. SulfateC. dubia
LC 50 VS. Sulfate
LC50 = 1736.9*(Sulfate)-0.0588
R2 = 0.3153
100
1000
10000
10 100 1000
Sulfate (mg/l)
LC
50 (
mg
/l)
Iowa Cl Criteria
Iowa Sulfate Criteria
Illinois Sulfate Criterion Also Based on Acute Tests
Illinois Sulfate Criterion
Illinois states that “Sensitive organisms reside in receiving streams with sulfate concentrations of 2,000 mg/L.”
Illinois Sulfate Criterion
The Case for an Empirical Approach
• Context is important. • Aquatic life in small Appalachian streams is not
the same as in Iowa or Illinois! • We must protect the resident aquatic life uses.• Unlike Illinois, we routinely see aquatic life use
impairment downstream of alkaline mine drainage.
• Elevated TDS, hardness and alkalinity, in the absence of other stressors (e.g. habitat, low pH, metals violations).
• TDS and component ions are strongly correlated to this impairment.
OH
KY
WV
PA
VA
Context is Important. What aquatic life are we trying to protect? What is the natural
water quality? What is the effluent quality?
NPDES discharge
Bio-Monitoring
Effluent Dominated Streams
HeptageniidaeEpeorus
HeptageniidaeHeptagenia
Ephemerellidae
E. Fleek, NC DWQ
Ephemere
lla
Mayflies represent ~25-50% of Abundance; ~1/3rd biodiversityIn natural, undegraded Appalachian streams
KY AppalachianHeadwaters(sandstone)y = 0.7821x - 28.661
R2 = 0.9754
0
500
1000
1500
2000
2500
3000
3500
4000
4500
0 500 1000 1500 2000 2500 3000 3500 4000 4500
Conductivity
TD
SWe use conductivity as a surrogate for
TDS
We also use conductivity as a surrogate for sulfate (Kentucky Data)
y = 0.574x - 54.165
R2 = 0.93
0
500
1000
1500
2000
2500
0 500 1000 1500 2000 2500 3000 3500
Conductivity
SO
4
y = 1.2148x - 1.042R2 = 0.94
0
0.5
1
1.5
2
2.5
3
3.5
1.5 1.7 1.9 2.1 2.3 2.5 2.7 2.9 3.1 3.3 3.5
log Cond
log
SO
4West Virginia Data
Using Empirical Data
• Note – conductivity of 500-1000 uS/cm approximates
sulfate of 200-400 mg/l– Iowa sulfate criteria ranges 500-2000 mg/l– Illinois sulfate criteria in range of 1000-1500
mg/l
Reference
Mined
Mined/Residential
%E
ph
emer
op
tera
Conductivity
0
10
20
30
40
50
60
70
80
0 500 1000 1500 2000 2500
Resident Mayflies Very Sensitive
(Eastern Kentucky Coalfields)
Note: strong nonlinear “threshold” response
0 500 1000 1500 2000 2500 3000
Conductivity
0
10
20
30
40
50
60
70
80
90%
May
flie
s
Unmined
Mined
Independent Datasets Confirm Sensitivity (West Virginia southern coal fields)
EPA EIS data (WV)based on mean monthly WQ concentrations (n=13
months)Spearman's Correlation Coefficients
n=89 # Ephem Taxa % EphemTDS -0.88 -0.86Conductivity -0.87 -0.86SULFATE -0.87 -0.85CALCIUM -0.87 -0.85MAGNESIUM -0.86 -0.83POTASSIUM -0.85 -0.82SELENIUM -0.74 -0.72NITRATE/NITRITE NITROGEN -0.72 -0.69pH -0.64 -0.60SODIUM -0.60 -0.59IRON, DISSOLVED -0.57 -0.61CHLORIDE -0.39 -0.46MANGANESE -0.34 -0.35NICKEL -0.31 -0.31TOTAL ORGANIC CARBON -0.31 -0.35COPPER -0.05 -0.13TSS -0.03 0.03Temperature -0.02 -0.02D.O. 0.02 -0.02ALUMINUM 0.07 0.10BARIUM 0.10 0.05ZINC 0.19 0.16LEAD 0.25 0.23bold values = p<0.05
TDS andIons stronglyCorrelated To mayfliesAnd impairment
0-200
200-400
400-600
600-1000>1000
CONDUCTIVITY
0
10
20
30
40
% E
ph
emer
ella
% S
ensi
tive
May
flie
s
EpeorusEphemerellaAmeletusDrunellaCinygmulaParaleptophlebia
EpeorusEphemerellaAmeletusDrunellaCinygmulaParaleptophlebia
Is aquatic life in small Appalachian streams more sensitive to TDS pollution than that in midwestern
streams?
Sensitive Mayflies:
0-200
200-400
400-600
600-1000>1000
CONDUCTIVITY
0
10
20
30
40
50
60
70
0-200
200-400
400-600
600-1000>1000
CONDUCTIVITY
0
10
20
30
40
50
% Is
on
ych
ia
0
10
20
30
40
50
60
70
80
% T
ole
ran
t M
ayfl
ies
0-200
200-400
400-600
600-1000>1000
CONDUCTIVITY
Isonychia, Tricorythodes, Baetis, Caenis
What aquatic life is found in the midwest? Perhaps more TDS-tolerant
invertebrates?
Facultative/Tolerant Mayflies:
The Case for an Empirical Approach
• The concentrations of ions that are correlated with high probability of aquatic life use impairment are much lower than the toxicity testing data imply would be protective.– Suggests that common toxicity testing organisms
are not as sensitive as resident aquatic invertebrates.
– Many of the toxicity test results have been based on acute tests. The tests and endpoints should be chronic and the toxicity tests should test sensitive life stages.
• There may be seasonal issues due to insect life cycles.
• Empirical data may help us determine the more sensitive resident species.
• Bioassessment endpoints are the best tool to capture the total effect of a complex ion mixture.
Examples of ambient toxicity
C. dubia Chronic Effects
0
20
40
60
80
100
120
0 1000 2000 3000
Sp. Cond. Field (us/cm)
EC
25
Re
pro
du
cti
on
(%
)
Chronic effects were detected in samples with field conductivity >1800 µS/cm.There is NO dilution capacity in these streams.
Chronic Effects Levels
C. dubia Chronic Effects
0
20
40
60
80
100
120
0 500 1000 1500
Sp. Cond. Estimated @ EC25 (uS/cm)
EC
25
Re
pro
du
cti
on
(%
)
Estimated conductivity at EC25 % ranged from 448-1243 with an average of 820 µS/cm.
This range is slightly higher than where we see effects with resident biota.
C. dubia more tolerant than resident Aquatic Life
Stream Resident Biota More Sensitive Than WET Surrogate
0
20
40
60
80
100
0 500 1000 1500 2000 2500 3000
Sp. Cond. Field (uS/cm)
GLIMPSS
EC25
All sites were rated impaired using the genus level GLIMPSS (<66) , which directly measures aquatic life use impairment. The resident biota are more sensitive than the WET surrogate, C. dubia. Can’t use C. dubia alone to express “safe” thresholds, but it can be used as an indicator of the more toxic discharges.
Ref for GLIMPSSNot tox tested
Using Empirical Data
• Linear regression• Quantile regression• Conditional Probability Analysis• Regression Trees• Note
– conductivity of 500-1000 uS/cm approximates sulfate of 200-400 mg/l
– Iowa sulfate criteria ranges 500-2000 mg/l– Illinois sufate criteria in range of 1000-1500 mg/l
Regression of GLIMPSS by log COND (R²=0.476)
0
10
20
30
40
50
60
70
80
90
100
1 1.5 2 2.5 3 3.5
log COND
GL
IMP
SS
ActiveModelConf. interval (Mean 90%)Conf. interval (Obs. 90%)
125 uS/cm 880 uS/cm
Ex: Linear Regression
Ex: Quantile Regression (summer)
N=535
IMPAIRMENT THRESHOLD
Ex: Quantile Regression (spring)
N=276
IMPAIRMENT THRESHOLD
Ex. Conditional Probability Approach
Paul and McDonald (2005)• CPA relies on a large dataset to develop
criteria.– Simply asks “what is the probability of
impairment given conductivity value ≥ x”?• P(y|x) where y is impairment threshold (IBI),
and x is some TDS or conductivity value.
• J. Paul (EPA, RTP, in review) found – 100% chance of MAHA sites being impaired
when conductivity >575 and – 100% chance of Florida streams impaired when
conductivity >750
N=949RBP HAB>130
Ex: CPA: WV DEP data: Summer pH>6
Conductivity
Pro
bab
ility
of
impa
irmen
t Probability of Impairment Over 90% when Cond > 500
88.2% variance
All Ions, Metals, pH, Hardness
%EPHEMMean=20.45SD=18.236
N=64
Mean=4.04SD=5.945
N=30
Mean=34.94SD=11.947
N=34
SULFATE<350.66
Mean=1.45SD=2.040
N=23
Mean=12.5SD=6.720
N=7
Mn DISS.<0.0074
Mean=23.83SD=6.393
N=8
Mean=38.4SD=11.196
N=26
CONDUCTIVITY<433.1
Mean=34.0SD=9.799
N=14
SULFATE<15.6
Mean=44.1SD=10.179
N=12
Mean=29.66
SD=9.077N=9
ZINC<0.023
Mean=40.13
SD=7.688N=5
Mean=39.95
SD=11.966N=6
Mean=48.33
SD=6.533N=6
MAGNESIUM<6.9
Split Variable PRE Improvement 1 SULFATE 0.726 0.726 2 Mn DISS 0.758 0.032 3 CONDUCTIVITY 0.819 0.062 4 SULFATE 0.855 0.036 5 ZINCTOTAL 0.872 0.017 6 MAGNESIUM 0.882 0.010
Ex: Regression Tree (MTM/VF EIS)
How do these empirical results compare to Iowa’s Sulfate Criteria?
We have not reviewed any bioassessment data from Iowa.R3 Empirical examples suggest impairment at sulfate 200-400 mg/l
Water Quality Based Approachto Pollution Control
DetermineProtection Level
(EPA Criteria/State WQS)
Conduct WQAssessment
(Identify Impaired Waters)
Set Priorities(Rank/Target Waterbodies)
Evaluate Appropriatenessof WQS for Specific Waters
(Reaffirm WQS)
Define and AllocateControl Responsibilities
(TMDL/WLA/LA)
Establish SourceControls
(Point Source, NPS)
Monitor and EnforceCompliance
(including instream bioassessments)
Measure Progress
Recommendations•Do not rely solely on toxicity
testing to determine protective limits.
•Consider chronic toxicity testing endpoints.
•Consider dilution ratios.•Combine toxicity testing and
empirical data approaches when field data are available.
Recommendations• Prepare a technical support
document on TDS–reflects acute and chronic toxicity testing literature
–offers some examples of empirical datasets and how they would be used to characterize aquatic life, and develop, refine or evaluate criteria and permits.
Recommendations• Always use bioassessments to
assess aquatic life uses downstream of discharges with TDS.
• These data should feed back into the permit and possibly result in site specific criteria.–Reflect all toxicants in discharge–Protect actual aquatic life that should be residing in that stream type
Ongoing Research - Surrogates
• Toxicity of TDS to surrogate lab organisms– Review literature for
TDS– Develop empirical
datasets between TDS and aquatic life
– Acute and chronic tests with mining effluent and reconstituted salts and surrogate organisms (e.g. C. dubia)
• USGS Columbia Lab, Duluth EPA Lab
• Preliminary Data…Hassell et al 2006
Ongoing Research - Natives• Metal and osmotic
ecophysiology • Deploy insects in situ – sample
individuals in a time course– Measure growth, metal and
electrolyte content, subcellular compartmentalization of metals
– Explain any differences in metal tolerance, bioaccumulation and toxicity
• Laboratory Exposures– Monitor oxygen consumption,
osmoregulatory status and Adenosine triphosphate (ATP) levels
– Characterize “energetic costs” to living in high conductivity
• Outcome– Provide information on whether
metal uptake is contributing to impairment
– Provide information on mechanism for TDS impairment
• North Carolina State
Buckwalter et al, 2007
Discussion
• Where do we go from here?• Technical Barriers?• Non-Technical Barriers?• What do you need from EPA?• What can you expect from EPA?• How do we advance aquatic life criteria?• How do we advance TMDL development?