Literature DB >> 12959553

Limitations of current risk characterization methods in probabilistic environmental risk assessment.

Frederik A M Verdonck1, Tom Aldenberg, Joanna Jaworska, Peter A Vanrolleghem.   

Abstract

In probabilistic environmental risk assessment, the likelihood and the extent of adverse effects occurring in ecological systems because of exposure(s) to substances are estimated. It is based on the comparison of an exposure/environmental concentration distribution, with a species sensitivity distribution derived from toxicity data. The calculation of a probabilistic risk can be performed in many ways (e.g., area under the curve in joint probability curves). However, several (hypothetical) examples and some theoretical considerations illustrate that the current risk characterisation methods have an integrative character and they focus on the statistical comparison of two distributions without properly considering the environmental interpretation of these underlying distributions. Several scenarios with varying exposure/environmental concentration distribution and species sensitivity distribution standard deviations are discussed.

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Year:  2003        PMID: 12959553     DOI: 10.1897/02-435

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  6 in total

1.  Evaluation of suitable endpoints for assessing the impacts of toxicants at the community level.

Authors:  Francisco Sánchez-Bayo; Kouchi Goka
Journal:  Ecotoxicology       Date:  2011-11-26       Impact factor: 2.823

2.  Endosulfan and its metabolite, endosulfan sulfate, in freshwater ecosystems of South Florida: a probabilistic aquatic ecological risk assessment.

Authors:  Gary M Rand; John F Carriger; Piero R Gardinali; Joffre Castro
Journal:  Ecotoxicology       Date:  2010-03-04       Impact factor: 2.823

3.  Parametric estimation of P(X > Y) for normal distributions in the context of probabilistic environmental risk assessment.

Authors:  Rianne Jacobs; Andriëtte A Bekker; Hilko van der Voet; Cajo J F Ter Braak
Journal:  PeerJ       Date:  2015-08-18       Impact factor: 2.984

Review 4.  Probabilistic risk assessment - the keystone for the future of toxicology.

Authors:  Alexandra Maertens; Emily Golden; Thomas H Luechtefeld; Sebastian Hoffmann; Katya Tsaioun; Thomas Hartung
Journal:  ALTEX       Date:  2022       Impact factor: 6.250

5.  Approaches to integrated monitoring for environmental health impact assessment.

Authors:  Hai-Ying Liu; Alena Bartonova; Mathilde Pascal; Roel Smolders; Erik Skjetne; Maria Dusinska
Journal:  Environ Health       Date:  2012-11-21       Impact factor: 5.984

6.  Increased Use of Bayesian Network Models Has Improved Environmental Risk Assessments.

Authors:  S Jannicke Moe; John F Carriger; Miriam Glendell
Journal:  Integr Environ Assess Manag       Date:  2020-12-11       Impact factor: 3.084

  6 in total

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