Risk Assessment of Bioaccumulation Substances. Part II: Description of a Model Framework

J.E. Tamis, P. de Vries, C.C. Karman

Research output: Book/ReportReportProfessional


This report provides a proposal for a framework for risk assessment of bioaccumulative substances, either from produced water discharges or present as background contamination. The proposed framework is such that it is compatible to the current EIF risk assessment models that are used in the Norwegian offshore oil and gas industry. The risk assessment approach selected for this framework is based on the use of critical body residues (CBR); i.e., body-tissue concentrations above which adverse effects are expected. A three-tiered risk assessment approach is distinguished: tier 1 for worst-case screening purposes; tier 2 based on probabilistic risk assessment using species sensitivity distributions and tier 3 focusing on population modelling for specific species. The latter tier is, because of its specific characteristics, not elaborated in detail. It is proposed to use a food-chain accumulation model to translate species sensitivity thresholds on the basis of CBR into external threshold concentrations, those external thresholds could then be used to either derive an ecosystem PNEC (tier I) or Species Sensitivity Distribution (tier II). This would provide a pragmatic approach to risk assessment of bioaccumulative substances in the context of the EIF modelling framework. Finally, an outline is provided for a research project in which the a risk assessment model for bioaccumulative substances is developed. This model will then be applied to two cases for purposes of demonstration and evaluation. An indication of workload and planning is provided.
Original languageEnglish
Place of PublicationDen Helder
Number of pages26
Publication statusPublished - 2009

Publication series

NameReport / Wageningen IMARES


  • risk assessment
  • biosafety
  • discharges
  • food chains
  • ecotoxicology
  • bioaccumulation
  • ecological risk assessment
  • aquatic ecology


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