| Prediction of overall persistence and long-range transport potential with multimedia fate models: robustness and sensitivity of results. | |
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MedLine Citation:
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PMID: 14667728 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The hazard indicators persistence (P) and long-range transport potential (LRTP) are used in chemicals assessment to characterize chemicals with regard to the temporal and spatial extent of their environmental exposure. They are often calculated based on the results of multimedia fate models. The environmental and substance-specific input parameters of such models are subject to a range of methodological uncertainties and also influenced by natural variability. We employed probabilistic uncertainty analysis to quantify variance in P and LRTP predictions for chemicals with different partitioning and transport behavior. Variance found in the results is so large that it prevents a clear distinction between chemicals. Additionally, only small improvements are observed when evaluating the results relative to a benchmark chemical. This can be explained by the dominance of substance-specific parameters and the only small direct influence of environmental parameters on P and LRTP as model outcomes. The findings underline the importance of learning how environmental conditions cause variability in substance behavior for improved substance ranking and classification. |
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Authors:
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Kathrin Fenner; Martin Scheringer; Konrad Hungerbühler |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Environmental pollution (Barking, Essex : 1987) Volume: 128 ISSN: 0269-7491 ISO Abbreviation: Environ. Pollut. Publication Date: 2004 |
Date Detail:
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Created Date: 2003-12-11 Completed Date: 2004-06-10 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 8804476 Medline TA: Environ Pollut Country: England |
Other Details:
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Languages: eng Pagination: 189-204 Citation Subset: IM |
Affiliation:
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Swiss Federal Institute of Technology (ETH) and Swiss Federal Institute for Environmental Science and Technology (EAWAG), CH-8600, Dübendorf, Switzerland. kathrin.fenner@eawag.ch |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Air Movements Biodegradation, Environmental Environmental Pollution* Models, Theoretical Monte Carlo Method Sensitivity and Specificity Time Factors Water Movements |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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