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California Sediment Quality Objectives Bioaccumulation Methods A Presentation to the SQO Scientific Steering Committee July 27, 2005 Presentation Summary Background ... – PowerPoint PPT presentation

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Title: California Sediment Quality Objectives Bioaccumulation Methods


1
California Sediment Quality Objectives
Bioaccumulation Methods
A Presentation to the SQO Scientific Steering
Committee July 27, 2005
2
Presentation Summary
  • Background and Conceptual Model
  • Three Lines of Evidence
  • Technical Issues With Each Line of Evidence

3
Conceptual Model
Exposure Assessment
Effects Thresholds For Humans
Effects Thresholds For Wildlife/Fish
Chemical uptake via diet, respiration
Effects Assessment
4
Multiple Lines of Evidence Approach
Exposure Assessment
Effects Thresholds For Humans
Effects Thresholds For Wildlife/Fish
Chemical uptake via diet, respiration
Effects Assessment
5
Indirect Effects Multiple Lines of Evidence
(MLOE)
Human Lines of Evidence
Fish and Wildlife Lines of Evidence
Fish Concentration
Fish Concentration
Laboratory Bioaccumulation Concentration
Laboratory Bioaccumulation Concentration
Sediment Concentration
Sediment Concentration
6
1. Fish Line of Evidence
  • Tissue contaminant concentration in field
    captured fish
  • Assesses beneficial use impairment.
  • Does not directly implicate sediments
  • Other sources (water column, watershed loading)
  • Fish movement

Fish Concentration
Laboratory Bioaccumulation Concentration
Sediment Concentration
7
2. Sediment Line of Evidence
  • Contaminant concentrations in sediments
  • Assess whether sediments are a potential source.
  • Does not assess variations in bioavailability
  • Physical parameters, e.g., soot carbon, paint
    chips.

Fish Concentration
Laboratory Bioaccumulation Concentration
Sediment Concentration
8
3. Bioaccumulation Line of Evidence
  • Contaminant concentrations in laboratory
    bioaccumulation tests
  • Are sediment contaminants bioavailable?
  • Has limitations
  • Difficulty achieving equilibrium
  • Laboratory extrapolation

Fish Concentration
Laboratory Bioaccumulation Concentration
Sediment Concentration
9
Technical Issues
  • Fish Line of Evidence
  • What are appropriate target species?
  • What assumptions to use in calculating tissue
    thresholds?
  • Consumption rate
  • Risk level
  • Bioaccumulation Line of Evidence
  • What are the most appropriate tests?
  • What are appropriate thresholds?
  • Sediment Chemistry Line of Evidence
  • How address fish movement?
  • How translate from fish threshold to sediment
    threshold?

10
Technical Issues
  • Fish Line of Evidence
  • What are appropriate target species?
  • What assumptions to use in calculating tissue
    thresholds?
  • Consumption rate
  • Risk level
  • Bioaccumulation Line of Evidence
  • What are the most appropriate tests?
  • What are appropriate thresholds?
  • Sediment Chemistry Line of Evidence
  • How address fish movement?
  • How translate from fish threshold to sediment
    threshold?

11
Target Species
Species previously monitored in CA Bays and
Estuaries with sediment linkage in adult
lifestyle
Arrow Goby Black Surfperch California
Corbina California Halibut California
Killifish Dwarf Surfperch English Sole Leopard
Shark Longfin Sanddab Pacific Sanddab Pacific
Staghorn Sculpin
Saddleback Sculpin Shiner Surfperch Slender
Sole Speckled Sanddab Spotted Sandbass Starry
Flounder Striped Mullet Walleye Surfperch White
Croaker White Surfperch Yellowfin Goby
12
Target Species
Prey For Humans and Wildlife
Limited Variation in Diet or Home Range
Sediment Linkage
13
Target Species - Sediment Linkage
Bold indicates significant r2 value and positive
slope
14
Target Species - Sediment Linkage
  • Evaluate different species using mechanistic
    model simulations
  • Gobas model parameterized for San Francisco Bay
  • Includes dietary and respiratory uptake
  • Run simulations setting water vs. sediment input
    to zero to estimate relative influence of
    waterborne vs. sediment contaminants
  • Approach may be used locally wherever food web
    data are available

15
Target Species - Sediment Linkage
16
Technical Issues
  • Fish Line of Evidence
  • What are appropriate target species?
  • What assumptions to use in calculating tissue
    thresholds?
  • Consumption rate
  • Risk level
  • Bioaccumulation Line of Evidence
  • What are the most appropriate tests?
  • What are appropriate thresholds?
  • Sediment Chemistry Line of Evidence
  • How address fish movement?
  • How translate from fish threshold to sediment
    threshold?

17
Fish Tissue Thresholds For Protecting Humans
  • Standard risk assessment approach
  • Threshold Fish Concentration
  • Function of (Toxicity Reference Value,
    Dose, Body Size)
  • Threshold choice is in large part a policy
    decision
  • Target population to protect
  • (e.g., consumption rate)
  • Allowable Risk Level

18
Fish Tissue Thresholds For Protecting Humans
  • Comparison of thresholds using different
    assumptions
  • Federal or state recommended policies
  • Two additional thresholds represented more or
    less
  • conservative assumptions

19
Fish Tissue Thresholds For Protecting Humans
Thresholds vary greatly depending on assumptions
20
Fish Tissue Thresholds For Protecting Humans
21
Exceedances Using Different Thresholds
Effects thresholds vs. organic contaminant
concentrations in three sportfish species (Shiner
Surfperch, California Halibut, and White Croaker)
  • Human thresholds generally lower - will drive the
    SQO
  • DDT is an exception
  • Chlordane generally does not exceed thresholds

22
Bioaccumulation Work Group
Appropriate Assumptions for Thresholds
Also Many BTAG Members
23
Fish Tissue Thresholds For Protecting Wildlife
  • General approach
  • Threshold Fish Concentration
  • Function of (Toxicity Reference Value,
    Dose, Body Size)
  • Dose based on body mass allometry equation
  • Statewide based on generic species classes
  • Local regulators refine with site-specific data
    for individual water bodies

24
Fish Tissue Thresholds For Protecting Wildlife
25
Fish Tissue Thresholds For Protecting Wildlife
  • Toxicity Reference Values
  • DDTs, PCBs, Hg - Using USEPA Region 9 BTAG
    TRV-Low
  • Dieldrin - USEPA ECO-SSL values
  • Chlordane - no consensus values available
  • Mammals - Khasawinah and Grutsch 1989
  • Birds - Stickel et al. 1983
  • Recall that chlordanes do not exceed thresholds
    for any fish (N 192)

26
Fish Tissue Thresholds For Protecting Wildlife
  • Avian results lower
  • Small animals lower

27
Exceedances Using Different Thresholds
Comparison of organic contaminant concentrations
in three sportfish species (Shiner Surfperch,
California Halibut, and White Croaker) to
wildlife and human effect thresholds
  • Among wildlife, small birds would drive the SQO
    for
  • PCBs and DDTs

28
Technical Issues
  • Fish Line of Evidence
  • What are appropriate target species?
  • What assumptions to use in calculating tissue
    thresholds?
  • Consumption rate
  • Risk level
  • Bioaccumulation Line of Evidence
  • What are the most appropriate tests?
  • What are appropriate thresholds?
  • Sediment Chemistry Line of Evidence
  • How address fish movement?
  • How translate from fish threshold to sediment
    threshold?

29
Methods GuidanceTarget Species - Lab Test
Organisms
  • Species with existing data in SQO database
  • Macoma nasuta is a good species for Laboratory
  • Bioaccumulation test
  • -Recommended for bed sediment testing (EPA
    guidance)
  • -Deposit feeder with high contaminant tolerance
  • -Large California database available

30
Target Species - Macoma nasuta
Contaminant SF Central Bay San Pedro Bay Tomales Bay San Diego Bay
Total DDTs n 137 n 77 n 12 ND
R2 0.56 0.13 0.12
Total PCBs n 63 ND ND n 14
R2 0.39 0.93
Total HPAHs n 137 n 77 n 11 n 14
R2 0.19 0.39 0.52 0.80
Chlordanes n 137 n 78 n 12 ND
R2 0.64 0.34 0.27
Summary of regression analysis of summed
contaminant concentrations in sediment and Macoma
nasuta tissue. significant
linear relationship (plt0.05) ND No Data
Available
31
San Diego
San Pedro
SF
Tomales
Linear (SF)
Bivalve Tissue Concentration (log x1, ug/kg, dry
wt.)
Linear (San Diego)
Linear (Tomales)
Linear (San Pedro)
2
2.5
3
3.5
4
4.5
5
5.5
6
Sediment Concentration (log x1, ug/kg, dry wt.)
Macoma nasuta tissue data indicate different
results for different water bodies. BSAFs vary
among waterbodies
32
Technical Issues
  • Fish Line of Evidence
  • What are appropriate target species?
  • What assumptions to use in calculating tissue
    thresholds?
  • Consumption rate
  • Risk level
  • Bioaccumulation Line of Evidence
  • What are the most appropriate tests?
  • What are appropriate thresholds?
  • Sediment Chemistry Line of Evidence
  • How address fish movement?
  • How translate from fish threshold to sediment
    threshold?

33
Bioaccumulation Line of EvidenceMethods of
Evaluation
B
  • How establish threshold with this line of
    evidence? Potential methods
  • Test for any bioavailability
  • Organism tissue concentrations above
    concentrations in control organisms
  • Test for bioaccumulation
  • BSAF gt 1
  • Test for tissue effects threshold exceedance
  • Use test organisms as surrogates for dietary
    exposure to fish, wildlife, and humans
  • With 28-day test, must correct for lack of
    equilibrium in short time frame

34
Bioaccumulation Line of EvidenceMethods of
Evaluation
B
  • 3. Test for tissue effects threshold exceedance
  • Correcting for lack of equilibrium in 28 day time
    frame
  • More conservative approach multiply laboratory
    results by 4 (USEPA Ocean Disposal Testing Manual
    1991)
  • Less conservative approach multiply laboratory
    results by factor between 1 and 3, depending on
    compound Kow (USEPA Inland Testing Manual 1998
    McFarland 1994)
  • Use longer time frame e.g., 45 day test (very
    costly)

35
Technical Issues
S
  • Fish Line of Evidence
  • What are appropriate target species?
  • What assumptions to use in calculating tissue
    thresholds?
  • Consumption rate
  • Risk level
  • Bioaccumulation Line of Evidence
  • What are the most appropriate tests?
  • What are appropriate thresholds?
  • Sediment Chemistry Line of Evidence
  • How address fish movement?
  • How translate from fish threshold to sediment
    threshold?

36
Fish Movement
S
  • Fish have variable home ranges and are often not
    captured where sediment data available.
  • Approach
  • Fish concentrations compared with sediments in a
    disk centered at each fish sampling location.
  • Disk size ranged from 0.5 - 15 km (0.5 km
    increments)
  • No a priori assumptions about fish home range

37
  • Identify best spatial scale to combine fish and
    sediment data.

38
  • Diagnose spatial association between fish and
    sediment contamination for a given water body.

39
Technical Issues
  • Fish Line of Evidence
  • What are appropriate target species?
  • What assumptions to use in calculating tissue
    thresholds?
  • Consumption rate
  • Risk level
  • Bioaccumulation Line of Evidence
  • What are the most appropriate tests?
  • What are appropriate thresholds?
  • Sediment Chemistry Line of Evidence
  • How address fish movement?
  • How translate from fish threshold to sediment
    threshold?

40

Translating From Fish Threshold To Sediment
Threshold
S
Effects Thresholds For Humans
Effects Thresholds For Wildlife/Fish
?
41

Translating From Fish Threshold To Sediment
Threshold
S
  • Potential Approaches
  • BAF and BSAF
  • Regression Model
  • Mechanistic Model
  • Combine 1 and 3

42
Focus of Effort
  • Non-ionic organic compounds with extensive
    exposure and effects data
  • PCBs
  • Legacy Pesticides (DDTs, Chlordanes, Dieldrin)

43
1. BAF and BSAF
  • 1. BSAF Lipid-normalized tissue conc./ organic
    carbon-normalized sediment conc.
  • 2. BAF Tissue conc. / sediment conc.
  • Both methods use paired samples from multiple
    locations, pooling data from a representative
    range when necessary

44
BAF vs. BSAF
100
2
R
0.2541
10
BAF
Tissue DDT (ug/kg)
2
R
0.6585
BSAF
1
1
10
100
1000
0.1
Sediment DDT (ug/kg)
DDTs in San Francisco Bay
Macoma clams vs. sediment
45
BAF Example Application
  • Using the shiner surfperch dataset from San
    Francisco Bay, calculated the BAF for each sample
    (N 43)
  • Determined distribution to be log- normal
  • Determined geometric mean BAF and used it to
    backcalculate sediment thresholds from tissue
    thresholds
  • Less conservative
  • Determined 95 CI to estimate high-end BAF and
    backcalculate low end sediment thresholds
  • More conservative

46
BAF Example Application
  • Example results in three thresholds
  • More conservative threshold - 95ile BAF using
  • CTR tissue criteria
  • Intermediate threshold - GeoMean BAF using CTR
  • Less conservative threshold - GeoMean using
  • US EPA Screening Value for general population

47
2. Regression Modeling
48
F
49
2. Regression modeling
  • Cannot predict well outside data range
  • High data requirements
  • High uncertainty

50
Translating From Fish Threshold To Sediment
Threshold3. Mechanistic Modeling
  • Uptake
  • Dietary
  • Gill
  • Loss
  • Excretion
  • Egestion
  • Gill Elimination
  • Metabolism

Growth
Chemical properties (e.g., Kow) important
51
Mechanistic Model Example Application
  • Calculate BAFs for pesticides in San Francisco
    Bay
  • Using Gobas (1993) model, as updated by Arnot and
    Gobas (2005)
  • Inputs required
  • Contaminant Kow
  • Quantitative representation of food web structure
  • Animal body mass, lipid content, feeding strategy
  • Water body chemistry (temperature, DO, TSS)

52
White Croaker
  • Input food web
  • data

Shiner Surfperch
Jacksmelt
Zooplankton
Algae
Amphipods
Grass Shrimp
Mollusks
Polychaete Worms
Sediment
53
  • Model outputs
  • BAFs for modeled
  • Species
  • Can estimate
  • Uncertainty using
  • Monte Carlo

54
4. Combine BAF/BSAF With Mechanistic Model
  • Corroborate mechanistic model results with field
    BAF data
  • If results don't fit, reevaluate model
    assumptions, and/or collect more data
  • Requires same data as mechanistic model, but also
    requires field data to confirm BAFs
  • Contaminant concentrations in water and sediments
  • Contaminant concentrations in biota of interest

55
  • Compare results to
  • Sediments
  • Biota

56
Combined Approach For San Francisco BayPesticides
57
Combined Approach For San Francisco BayPCBs
Source Gobas and Arnot, 2005
58
Ease of Implementation
59
Bioaccumulation MethodsSummary
  • Indirect effects relies on MLOE fish tissue
    chemistry, bioaccumulation tests, and sediment
    chemistry
  • Fish tissue thresholds are driven by policy
    decisions. Modify assumptions to accommodate
    State decision.
  • Bioaccumulation - Macoma nasuta an applicable
    test.
  • Sediment contamination - number of methods
    available, depending on time, data, and
    expertise.
  • BSAF or BAF
  • Mechanistic modeling using Gobas model

60
Future Steps
  • Develop approach to integrate lines of evidence
  • Equal weighting?
  • Tiered implementation?
  • Continue case studies - Newport Bay
  • Develop approaches for other contaminants
  • Mercury
  • PAHs
  • Develop guidance manual

61
Contact Information
  • Ben Greenfield ben_at_sfei.org
  • Mike Connor mikec_at_sfei.org
  • www.sfei.org
  • Acknowledgements
  • Ned Black, Michael Anderson, Laurie Sullivan,
    Katie Zeeman, Robert Brodberg and other members
    of Bioaccumulation Work Group
  • Beckye Stanton, Regina Donohue, Julie Yamamoto,
    and othe BTAG members
  • Frank Gobas and Jon Arnot, Simon Frasier
    University

62
Supplemental Information
63
Fish Tissue Thresholds For Protecting Humans
  • California Toxics Rule gives explicit guidance as
    to fish tissue risk assessment assumptions in
    developing state water quality objectives
  • "EPA assumes 6.5 grams per day of contaminated
    fish and shellfish consumptionfor a 70 kilogram
    person in calculating the criteria.For
    carcinogens, the risk assessments are upper bound
    one in a million (10-6) lifetime risk
    numbers.EPA maintains an electronic database
    which contains the official Agency consensus for
    oral RfD assessments and carcinogenicity
    assessments which is known as the Integrated Risk
    Information System (IRIS)."

64
Methods GuidanceTarget Species - Small Home
Range
Total PCBs
Spatial patterns in total PCB concentrations and
stable isotope signatures suggest site fidelity
for shiner perch in the San Francisco Estuary
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