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Species Sensitivity Distributions for Use in Environmental Protection, Assessment, and Management of Aquatic Ecosystems for 12 386 Chemicals

机译:用于12 386种化学品的环境保护,评估和水生生态系统管理的物种敏感度分布

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The present study considers the collection and use of ecotoxicity data for risk assessment with species sensitivity distributions (SSDs) of chemical pollution in surface water, which are used to quantify the likelihood that critical effect levels are exceeded. This fits the European Water Framework Directive, which suggests using models to assess the likelihood that chemicals affect water quality for management prioritization. We derived SSDs based on chronic and acute ecotoxicity test data for 12 386 compounds. The log-normal SSDs are characterized by the median and the standard deviation of log-transformed ecotoxicity data and by a quality score. A case study illustrates the utility of SSDs for water quality assessment and management prioritization. We quantified the chronic and acute mixture toxic pressure of mixture exposures for 22 000 water bodies in Europe for 1760 chemicals for which we had both exposure and hazard data. The results show the likelihood of mixture exposures exceeding a negligible effect level and increasing species loss. The SSDs in the present study represent a versatile and comprehensive approach to prevent, assess, and manage chemical pollution problems. Environ Toxicol Chem 2019;38:905-917. (c) 2019 SETAC
机译:本研究考虑了生态毒性数据的收集和使用,以及地表水中化学污染的物种敏感度分布(SSD)的风险评估,该数据用于量化超出关键影响水平的可能性。这符合欧洲水框架指令的要求,该指令建议使用模型评估化学品影响水质的可能性,以进行管理优先排序。我们基于12 386种化合物的慢性和急性生态毒性测试数据得出了SSD。对数正态SSD的特征是对数转换后的生态毒性数据的中位数和标准偏差以及质量得分。案例研究说明了SSD用于水质评估和管理优先级的实用性。我们对欧洲有超过22,000个水域的1760种化学物质的混合物暴露的慢性和急性混合物毒性压力进行了量化,我们同时获得了暴露和危害数据。结果表明,混合物暴露的可能性超过可以忽略的影响水平,并且物种损失增加。本研究中的SSD代表了一种预防,评估和管理化学污染问题的通用且全面的方法。 Environ Toxicol Chem 2019; 38:905-917。 (c)2019年SETAC

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