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Donald Mackay

Researcher at Trent University

Publications -  468
Citations -  36733

Donald Mackay is an academic researcher from Trent University. The author has contributed to research in topics: Solubility & Partition coefficient. The author has an hindex of 103, co-authored 468 publications receiving 35105 citations. Previous affiliations of Donald Mackay include École Polytechnique Fédérale de Lausanne & ETH Zurich.

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Sensing the fugacity of hydrophobic organic chemicals in aqueous systems

TL;DR: In this article, the fugacity of hydrophobic chemicals in aqueous systems was measured by measuring their concentrations in an equilibrated air headspace, which can provide valuable information about the nature and extent of interactions between the chemicals and dissolved and particulate phases present in the water.
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Environmental persistence of chemicals.

TL;DR: It is concluded that the preferred strategy is to use Level II, III, and IV models and that the use of only degradation kinetics or media-specific half-lives can be misleading and uneconomical.
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Dependence of intake fraction on release location in a multi-media framework: A case study of four contaminants in North America

TL;DR: In this article, the authors explored the relative importance of these variables using the regionally segmented BETR North America contaminant fate model and data for food production patterns and population density for North America.
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Relationship of hydrocarbon solubility to toxicity in algae and cellular membrane effects

TL;DR: In this paper, it was found that the molar concentration required to cause a 50 percent reduction in photosynthesis could be predicted from a knowledge of its solubility alone, and a regression coefficient of 0.97 was obtained on a log plot.
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Mass balance modelling of contaminants in river basins: A flexible matrix approach

TL;DR: By considering the spatially explicit nature of emission sources and the changes in concentration which occur with transport in the channel system, the approach offers significant advantages over simple one-segment simulations while being more readily applicable than more sophisticated, highly segmented, GIS-based models.