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Bioaccumulation and Potential Risk from Sediment-Associated Contaminants in Dredged Materials

Bioaccumulation and Potential Risk from Sediment-Associated Contaminants in Dredged Materials. Katherine von Stackelberg, ScD E Risk Sciences, LLP kvon@erisksciences.com. Bioaccumulation vs. Risk. Risk depends on exposure and toxicity There is no zero-risk option

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Bioaccumulation and Potential Risk from Sediment-Associated Contaminants in Dredged Materials

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  1. Bioaccumulation and Potential Risk from Sediment-Associated Contaminants in Dredged Materials Katherine von Stackelberg, ScD E Risk Sciences, LLP kvon@erisksciences.com

  2. Bioaccumulation vs. Risk • Risk depends on exposure and toxicity • There is no zero-risk option • Population variability in response • Uncertainty • Exposure concentrations • System dynamics • Integration with other analyses • Different approaches available Dredging Option A A Risk MNR B Years B-A=Risk Reduction Benefit

  3. Tiered Approaches to Bioaccumulation Modeling • TrophicTrace/BRAMS • “Screening” tool • Rapid evaluation of bioaccumulation potential • Steady state model • http://el.erdc.usace.army.mil/trophictrace/ • FishRand-Migration • Greater complexity • Incorporates spatial and temporal aspects of aquatic biota exposure • Probabilistic, time-varying

  4. Not Just a Single Number

  5. Importance of Characterizing Uncertainty

  6. Exposure Characterization in Bioaccumulation Models • Bioaccumulation models do not represent fish behavior, foraging strategy, life history, habitat preferences • Exposures represented by external processing (average, SWAC, etc.) • Changes in exposure over time • Either exposed or not – doesn’t capture dynamics of fish behavior • Don’t consistently capture uncertainty and variability

  7. FishRand Modeling Approach • Sampling from a population of fish • Movements and foraging strategies contribute to the distribution of predicted tissue concentrations • Takes advantage of GIS-based data • Probabilistic linkages • Decision analytic approaches • Integration with economic and other data

  8. Pre-Remedy Selection

  9. Post-Remedy Selection Seasonal Movement Home Range Attraction Factor Daily Movements MDS Foraging Area

  10. FishRand Application

  11. Results for Largemouth Bass

  12. Implications for Risk Assessment

  13. Linkages to Other Analyses

  14. Conclusions • Tiered approaches to modeling: “screening” to complex • Balance data availability, resources, objectives • Even screening level assessments should quantify uncertainty • Important to consider linkages to other analyses • Sustainable sediment solutions and complexity of data and analyses require integrative approaches • Watershed scale • Decision analytic frameworks

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