Prospective aquatic risk assessment for chemical mixtures in agricultural landscapes
| Autor: | Holmes, C.M., Brown, C.D., Hamer, M., Jones, R., Maltby, L., Posthuma, L., Silberhorn, E., Teeter, J.S., Warne, M.S.J., Weltje, L. |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Agriculture
Ecotoxicology Risk Assessment Zea mays United Kingdom United States Exposure scenario Chemical mixture Landscape Environmental Pollutants Special Section: SETAC Pellston Workshop: Simplifying Environmental Mixtures An Aquatic Exposure‐Based Approach Via Exposure Scenarios Leo Posthuma Colin Brown Dick de Zwart Jerry Diamond Scott D. Dyer Mick Hamer Christopher M. Holmes Stuart Marshall G. Allen Burton Jr. Guest Editors Prospective Studies Pellston Mixtures Triticum |
| Zdroj: | Environmental Toxicology and Chemistry |
| ISSN: | 1552-8618 0730-7268 |
| Popis: | Environmental risk assessment of chemical mixtures is challenging because of the multitude of possible combinations that may occur. Aquatic risk from chemical mixtures in an agricultural landscape was evaluated prospectively in 2 exposure scenario case studies: at field scale for a program of 13 plant‐protection products applied annually for 20 yr and at a watershed scale for a mixed land‐use scenario over 30 yr with 12 plant‐protection products and 2 veterinary pharmaceuticals used for beef cattle. Risk quotients were calculated from regulatory exposure models with typical real‐world use patterns and regulatory acceptable concentrations for individual chemicals. The results could differentiate situations when there was concern associated with single chemicals from those when concern was associated with a mixture (based on concentration addition) with no single chemical triggering concern. Potential mixture risk was identified on 0.02 to 7.07% of the total days modeled, depending on the scenario, the taxa, and whether considering acute or chronic risk. Taxa at risk were influenced by receiving water body characteristics along with chemical use profiles and associated properties. The present study demonstrates that a scenario‐based approach can be used to determine whether mixtures of chemicals pose risks over and above any identified using existing approaches for single chemicals, how often and to what magnitude, and ultimately which mixtures (and dominant chemicals) cause greatest concern. Environ Toxicol Chem 2018;37:674–689. © 2017 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals, Inc. on behalf of SETAC. |
| Databáze: | OpenAIRE |
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