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Evaluating the environmental fate of a variety of types of chemicals using the EQC model

Mackay, Donald, Di Guardo, Antonio, Paterson, Sally, Cowan, Christina E.·1996·Environmental Toxicology and Chemistry

Abstract

The multimedia equilibrium criterion model, which can be used to evaluate the environmental fate of a variety of chemicals, is described. The model treats chemicals that fall into three categories. In the first the chemicals may partition into all environmental media, in the second they are involatile, and in the third they are insoluble in water. The structure of the model, the process equations, and the required input data for each chemical type are described. By undertaking a sequence of level I, II, and III calculations, increasing information is obtained about the chemical's partitioning, its susceptibility to transformation and transport, and the environmental process and the chemical characteristics that most influence chemical fate. Output data, consisting of tables and charts, give a complete picture of the chemical's fate in an evaluative or generic environment. The model is illustrated by applying it to two chemicals, pyrene, which is a chemical of the first type, and lead, which is of a second type. The role of this model as a tool for assessing the fate of new and existing chemicals is discussed.

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Metadata

Authors
Mackay, D., Di Guardo, A., Paterson, S., & Cowan, C. E.
Venue
Environmental Toxicology and Chemistry
Published
1996-09-01
Volume
15
Issue
9
Pages
1627-1637
ISSN
  • 0730-7268 (ISSN-L)
  • 1552-8618
OpenAlex
W2109824129
Cited by
251
References
0
FWCI
3.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Evaluating the environmental fate of a variety of types of chemicals using the EQC model. https://app.cochat.ai/papers/10.1002/etc.5620150929
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Mackay, D., Di Guardo, A., Paterson, S., & Cowan, C. E. (1996). Evaluating the environmental fate of a variety of types of chemicals using the EQC model. Environmental Toxicology and Chemistry. https://doi.org/10.1002/etc.5620150929

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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.