Literature DB >> 16639899

Survey of methodologies for developing media screening values for ecological risk assessment.

Mace G Barron1, Steven R Wharton.   

Abstract

This review evaluates the methodologies of 13 screening value (SV) compilations that have been commonly used in ecological risk assessment (ERA), including compilations from state and U.S. federal agencies, the Oak Ridge National Laboratory (ORNL), Canada, The Netherlands, and Australia. The majority of surfacewater SVs were primarily derived for the protection of aquatic organisms using 2 approaches: (1) a statistical assessment of toxicity values by species groupings, such as "ambient water quality criteria," or (2) extrapolation of a lowest observed adverse effect level determined from limited toxicity data using an uncertainty factor. Sediment SVs were primarily derived for the protection of benthic invertebrates using 2 approaches: (1) statistical interpretations of databases on the incidence of biological effects and chemical concentrations in sediment, or (2) values derived from equilibrium partitioning based on a surfacewater SV. Soil SVs were derived using a diversity of approaches and were usually based on the lowest value determined from soil toxicity to terrestrial plants or invertebrates and, less frequently, from modeled, incidental soil ingestion or chemical accumulation in terrestrial organisms. The various SV compilations and methodologies had varying levels of conservatism and were not consistent in the pathways and receptors considered in the SV derivation. Many SVs were derived from other compilations and were based on outdated values, or they relied on only older toxicity data. Risk assessors involved in ERA should carefully evaluate the technical basis of SVs and consider the uncertainty in any value used to determine the presence or absence of risk and the need for further assessment.

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Year:  2005        PMID: 16639899

Source DB:  PubMed          Journal:  Integr Environ Assess Manag        ISSN: 1551-3777            Impact factor:   2.992


  6 in total

1.  Environmental survey in the Tuul and Orkhon River basins of north-central Mongolia, 2010: metals and other elements in streambed sediment and floodplain soil.

Authors:  W G Brumbaugh; D E Tillitt; T W May; Ch Javzan; V T Komov
Journal:  Environ Monit Assess       Date:  2013-05-18       Impact factor: 2.513

2.  Application of Interspecies Correlation Estimation (ICE) models and QSAR in estimating species sensitivity to pesticides.

Authors:  S Raimondo; M G Barron
Journal:  SAR QSAR Environ Res       Date:  2019-11-14       Impact factor: 3.000

3.  Toxicity of sediment oiled with diluted bitumens to freshwater and estuarine amphipods.

Authors:  M G Barron; E M Moso; R N Conmy; P Meyer; D Sundaravadivelu
Journal:  Mar Pollut Bull       Date:  2020-12-18       Impact factor: 5.553

4.  Ecological risk assessment of agricultural soils for the definition of soil screening values: A comparison between substance-based and matrix-based approaches.

Authors:  Alberto Pivato; Maria Cristina Lavagnolo; Barbara Manachini; Stefano Vanin; Roberto Raga; Giovanni Beggio
Journal:  Heliyon       Date:  2017-04-03

5.  Creation of a Curated Aquatic Toxicology Database: EnviroTox.

Authors:  Kristin A Connors; Amy Beasley; Mace G Barron; Scott E Belanger; Mark Bonnell; Jessica L Brill; Dick de Zwart; Aude Kienzler; Jesse Krailler; Ryan Otter; Joshua L Phillips; Michelle R Embry
Journal:  Environ Toxicol Chem       Date:  2019-04-01       Impact factor: 3.742

6.  A Mechanism-based QSTR Model for Acute to Chronic Toxicity Extrapolation: A Case Study of Antibiotics on Luminous Bacteria.

Authors:  Dali Wang; Yue Gu; Min Zheng; Wei Zhang; Zhifen Lin; Ying Liu
Journal:  Sci Rep       Date:  2017-07-20       Impact factor: 4.379

  6 in total

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