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INCORPORATING MULTIPLE LINES OF EVIDENCE INTO SEDIMENT QUALITY OBJECTIVES

INCORPORATING MULTIPLE LINES OF EVIDENCE INTO SEDIMENT QUALITY OBJECTIVES. Stephen B. Weisberg Southern California Coastal Water Research Project. BACKGROUND. Multiple lines of evidence concept has been around for a while Sediment triad is particularly well known

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INCORPORATING MULTIPLE LINES OF EVIDENCE INTO SEDIMENT QUALITY OBJECTIVES

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  1. INCORPORATING MULTIPLE LINES OF EVIDENCE INTO SEDIMENT QUALITY OBJECTIVES Stephen B. Weisberg Southern California Coastal Water Research Project

  2. BACKGROUND • Multiple lines of evidence concept has been around for a while • Sediment triad is particularly well known • Has not yet found its way into sediment quality criteria • MLOE mostly used in site specific assessments • We are planning to recommend a MLOE approach • Both science advisory and stakeholder advisory panels have endorsed an MLOE approach • Challenge is creating a consistent MLOE application • Primary users will often be inexperienced engineers • Need a more rigorous structure than “Best Professional Judgment”

  3. ISSUES • For what purpose will MLOE approach be used? • What are the end points (beneficial uses) of interest? • Which indicators will be used to address each MLOE end point? • How will these indicators be weighted in a scoring system ? • Will scoring be ordinal or binary?

  4. PURPOSE • Primary purpose: To determine if beneficial uses at a station are impaired • Secondary: Programmatic applications of station criteria • Waterbody evaluation (303d listings) • Discharge compliance decisions • Local cleanup levels • Dredge material permitting • We can only provide guidance toward application process • Water code vs. site-specific decisions

  5. ISSUES • For what purpose will MLOE approach be used? • What are the end points (beneficial uses) of interest? • Which indicators will be used to address each MLOE end point? • How will these indicators be weighted in a scoring system ? • Will scoring be ordinal or binary?

  6. BENEFICIAL USE PROTECTION CATEGORIES • Aquatic life (Infaunal) effects • Human health effects • Fish and wildlife effects • MLOE will be used within each, but independent assessments will be conducted for each beneficial use

  7. WHICH INDICATORS? • Infaunal effects • Sediment chemistry • Sediment toxicity • Benthic infaunal assemblage • Human health • Sediment chemistry • Fish/bivalve tissue chemistry • Fish/wildlife • Sediment chemistry • Tissue exposure • Biological effects

  8. MLOE SCORING – INFAUNAL EFFECTS POSSIBLE FLAWS WITH RELIANCE ONINDIVIDUAL INDICATORS • Benthos • Physical disturbance (anchor, dredging) • Oxygen stress • Toxicity • Confounding factors (ammonia) • Agitation enhanced bioavailability • Chemistry • Paint chip • Tar ball • At least two legs of the triad are necessary to conclude impairment • Some scientific uncertainty associated with each leg • Need to demonstrate both exposure and effect

  9. MLOE SCORING – INFAUNAL EFFECTS • At least two legs of the triad are necessary to conclude impairment • Some scientific uncertainty associated with each leg • Need to demonstrate both exposure and effect • Ordinal scoring • Both for individual indicators and for overall site assessment • Too much uncertainty to create binary thresholds • There is also a desire to prioritize among sites

  10. TYPICAL TRIAD INTERPRETATION

  11. SCORE EACH INDICATOR FROMZERO TO THREE 0 – Reference condition 1 – Slight deviation from reference (possibly defined by measurement error) 2 – Moderate effect 3 – Severe effect

  12. EXAMPLE RESPONSE SCALES

  13. OUTCOMES AT THE STATION LEVEL • Unimpaired (0 – 1 points) • Likely unimpaired (2 – 3 points) • Likely impaired (4 – 6 points) • Clearly impaired (7 – 9 points)

  14. SOME EXAMPLES

  15. DEVIL IS IN THE DETAILS • Scoring multiple metrics within an indicator class • e.g. Multiple toxicity tests at a site • e.g. Incorporating both empirical and EqP approaches • Less than three legs of the triad measured • Others you would like me to address?

  16. MULTIPLE METRICS WITHIN A CLASS • Average score • Worst score • They each measure different things • Prioritizing among tests • Most sensitive test • Least sensitive test • “Best” test • Highest quality data • Some combination of frequency and severity

  17. PROPOSED SCORING WHEN MULTIPLE METRICS ARE MEASURED

  18. WHAT IF ONLY TWO LINES OF EVIDENCEARE AVAILABLE? • Looking for a combination of concordance and magnitude • Unimpaired: No effect from either indicator • Likely unimpaired: Small effect with no indicator, but no effect for the other • Unclear: Large effect with one indicator but no effect for the other • Likely impaired: Some effect for both indicators • Clearly impaired: High effect for both indicators

  19. WHAT IF THERE IS ONLY ONE LINE OF EVIDENCE AVAILABLE? • Different circumstance than having three lines of evidence where only one shows an effect • Philosophy is still the same: Need demonstration of both exposure and effect • Want to avoid false positives • Classify stations that score a 3 as “Presumed bad” • Would revert to “likely impaired” if no new data are collected within three years • Want to guard against false negatives

  20. MOVING FROM STATION ASSESSMENT TO SYSTEM ASSESSMENT: 303d EXAMPLE • Impairment of a station does not equate to system impairment • Probably few (no?) systems without some anthropogenic impairment • There is assessment uncertainty at the station level • Measurement variability • Assessment tool error • Present State Board approach defines impairment relative to frequency of station/sample exceedances in waterbodies with the least human influence • That approach can work well here

  21. ESTABLISHING FREQUENCY THREHOLD FOR DEFINING SYSTEM IMPAIRMENT • Identify systems (or subsystems) that are least influenced • Use project data base to create a frequency plot • Select a frequency threshold based on the plot • Might also use site replicability information • Might also incorporate a magnitude component to the threshold

  22. ESTABLISHING FREQUENCY THREHOLD FOR DEFINING SYSTEM IMPAIRMENT • Identify systems (or subsystems) that are least influenced • Use project data base to create a frequency plot • Select a frequency threshold based on the plot • Might also use site replicability information • Might also incorporate a magnitude component to the threshold • Particularly need your input at this stage • Defining reference systems • Interpreting frequency plot • Determining need for habitat specific thresholds

  23. SOME 303D DEVIL IN THE DETAILS • How many stations are necessary to classify a waterbody? • What if stations are non-random and non-representative of the system?

  24. SOME 303d DEVIL IN THE DETAILS • How many stations are necessary to classify a waterbody? • What if stations are non-random and non-representative of the system? • We will need to provide guidance on such issues

  25. 303d PRODUCT FROM THIS PROJECT • Prepare approximately three pages of text with recommended approach • Point out consistency with State Board approach for other stressors • Includes graphics that describe analytical results • Frequency plot from reference sites • Station repeatability information • Ultimate 303d decisions made by other individuals • So far, they find this approach agreeable

  26. HUMAN HEALTH • Both legs (tissue chemistry, sediment chemistry) necessary to conclude impairment • Linkage between exposure and effects even more necessary than for benthic effects • Tissue chemistry thresholds are straightforward • State has fishery closure levels • Sediment chemistry thresholds are less clear • Will likely differ from infaunal effects thresholds • We are exploring both empirical and mechanistic models

  27. SPECIAL ISSUES – HUMAN HEALTH • Can we do a station assessment? • Exposure will generally be system-specific rather than station-specific • Are all species acceptable? • Resident vs. migratory • Indicator vs. human consumed species

  28. FISH / WILDLIFE EFFECTS • Will probably require three lines of evidence as necessary to conclude impairment • Sediment chemistry, tissue chemistry, biological effects • Greater physical dislocation between sediment and effect • Thresholds for each line are less well developed than for other modes of effect • Mechanistic modeling becomes increasingly important • Also increasingly difficult • Least amount of data • Most applications will need to be based on first two modes of effect • Our goal is to develop framework for the future

  29. TIMELINE • Draft sediment quality objectives due August 2005 • Workplans for individual indicator elements already prepared and studies begun • We will prepare a MLOE integration workplan following this meeting • We will ask the Scientific Steering Committee to review it next • Looking for your input today

  30. MLOE GLOSSARY

  31. SOME TOUGHER CASES

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