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M. Diamond, D. Mackay, P. Welbourn (1992)
Models of multi-media partitioning of multi-species chemicals: The fugacity/aquivalence approachChemosphere, 25
D. Mackay, M. Diamond (1989)
Application of the QWASI (Quantitative Water Air Sediment Interaction) fugacity model to the dynamics of organic and inorganic chemicals in lakesChemosphere, 18
D. Mackay, S. Paterson, W. Shiu (1992)
Generic models for evaluating the regional fate of chemicalsChemosphere, 24
D. Mackay, S. Paterson (1991)
Evaluating the multimedia fate of organic chemicals: a level III fugacity modelEnvironmental Science & Technology, 25
D. Mackay, A. Guardo, S. Paterson, G. Kicsi, C. Cowan, D. Kane (1996)
Assessment of chemical fate in the environment using evaluative, regional and local‐scale models: Illustrative application to chlorobenzene and linear alkylbenzene sulfonatesEnvironmental Toxicology and Chemistry, 15
D. Mackay, A. Guardo, S. Paterson, G. Kicsi, C. Cowan (1996)
Assessing the fate of new and existing chemicals: A five‐stage processEnvironmental Toxicology and Chemistry, 15
Mackay Mackay, Di Guardo Di Guardo, Paterson Paterson, Kicsi Kicsi, Cowan Cowan, Kane Kane (1996)
Assessment of chemical fate in the environment using evaluative, regional and local‐scale models: Illustrative application to chlorobenzene and linear alkylbenzene sulfonatesEnviron. Chem. Toxicol., 15
Helen Ling, M. Diamond, D. Mackay (1993)
Application of the QWASI Fugacity/Aquivalence Model to Assessing Sources and Fate of Contaminants in Hamilton HarbourJournal of Great Lakes Research, 19
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.
Environmental Toxicology & Chemistry – Wiley
Published: Sep 1, 1996
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