The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Environmental distribution and transformation of mercury compounds
Abstract
Health risk assessments for mercury are subject to uncertainties associated with the prediction of exposure from multiple pathways (air, water, and food). In order to accurately predict multipathway exposure, an understanding of the transport and transformation processes that govern mercury's multimedia distribution is required. Modeling and analysis of multimedia exposure requires knowledge of the physicochemical properties, partition coefficients, and intermedia transport properties of a compound. Although a number of reviews of the behavior of mercury in the environment have been published over the last decade, little attention has been given to the environmental multimedia distribution of mercury and the governing intermedia transfer factors. This review provides a comprehensive evaluation of the chemical and physical processes that govern mercury distribution among the major environmental media. Physicochemical properties, partition coefficients, and intermedia transport parameters that can be used to predict abiotic and biotic transfer of mercury among environmental media are also presented.
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Cites
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Mercury in the Swedish environment ? Recent research on causes, consequences and corrective methods
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Cited by
Cycling of mercury in the environment: Sources, fate, and human health implications: A review
Beckers, F., & Rinklebe, J. (2017) · Critical Reviews in Environmental Science and Technology · doi:10.1080/10643389.2017.1326277 · Cited by 623
Metadata
- Authors
- Stein, E. D., Cohen, Y., & Winer, A. M.
- Venue
- Critical Reviews in Environmental Science and Technology
- Publisher
- Informa UK Limited
- Published
- 1996-01
- Volume
- 26
- Issue
- 1
- Pages
- 1-43
- ISSN
- 1064-3389 (ISSN-L)
- 1547-6537
- OpenAlex
- W1986693275
- Cited by
- 358
- References
- 41
- FWCI
- 7.57
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
