Screening Level Risk Assessment Model for Chemical Fate and Effects in the Environment

A screening level risk assessment model is developed and described to assess and prioritize chemicals by estimating environmental fate and transport, bioaccumulation, and exposure to humans and wildlife for a unit emission rate. The most sensitive risk endpoint is identified and a critical emission rate is then calculated as a result of that endpoint being reached. Finally, this estimated critical emission rate is compared with the estimated actual emission rate as a risk assessment factor. This “back-tracking” process avoids the use of highly uncertain emission rate data as model input. The application of the model is demonstrated in detail for three diverse chemicals and in less detail for a group of 70 chemicals drawn from the Canadian Domestic Substances List. The simple Level II and the more complex Level III fate calculations are used to “bin” substances into categories of similar probable risk. The essential role of the model is to synthesize information on chemical and environmental properties within a consistent mass balance framework to yield an overall estimate of screening level risk with respect to the defined endpoint. The approach may be useful to identify and prioritize those chemicals of commerce that are of greatest potential concern and require more comprehensive modeling and monitoring evaluations in actual regional environments and food webs.

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PID https://www.doi.org/10.1021/es0514085.s001
URL https://figshare.com/articles/journal_contribution/Screening_Level_Risk_Assessment_Model_for_Chemical_Fate_and_Effects_in_the_Environment/3229843
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Access Right Open Access
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Author Arnot, Jon A.
Author Mackay, Don
Author Webster, Eva
Author Southwood, Jeanette M.
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Collected From figshare
Hosted By figshare
Publication Date 2016-05-05
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Language English
Resource Type Other literature type
system:type publication
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=r37980778c78::9278964e3d1d6fc648fe6fa9cb796c97
Author jsonws_user
Last Updated 24 December 2020, 11:56 (CET)
Created 24 December 2020, 11:56 (CET)