Stochastic Framework for Addressing Chemical Partitioning and Bioavailability in Contaminated Sediment Assessment and Management.
Autor: | Brennan AA; Water Resources Science, University of Minnesota Duluth, Duluth, Minnesota 55812, United States., Mount DR; Center for Computational Toxicology and Exposure, Office of Research and Development, US Environmental Protection Agency, Duluth, Minnesota 55804, United States., Johnson NW; Water Resources Science, University of Minnesota Duluth, Duluth, Minnesota 55812, United States.; Department of Civil Engineering, University of Minnesota, Duluth, Duluth, Minnesota 55812, United States. |
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Jazyk: | angličtina |
Zdroj: | Environmental science & technology [Environ Sci Technol] 2021 Aug 17; Vol. 55 (16), pp. 11040-11048. Date of Electronic Publication: 2021 Jul 26. |
DOI: | 10.1021/acs.est.1c01537 |
Abstrakt: | Passive sampling to quantify net partitioning of hydrophobic organic contaminants between the porewater and solid phase has advanced risk management for contaminated sediments. Direct porewater ( C |
Databáze: | MEDLINE |
Externí odkaz: |
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