National Institute for Public Health and the Environment (RIVM), Centre for Sustainability, Environment and Health, Bilthoven, The Netherlands.
Department of Environmental Science, Institute for Wetland and Water Research, Faculty of Science, Radboud University, Nijmegen, The Netherlands.
Environ Toxicol Chem. 2018 Mar;37(3):715-728. doi: 10.1002/etc.3960. Epub 2018 Feb 12.
Ecological risk assessment increasingly focuses on risks from chemical mixtures and multiple stressors because ecosystems are commonly exposed to a plethora of contaminants and nonchemical stressors. To simplify the task of assessing potential mixture effects, we explored 3 land use-related chemical emission scenarios. We applied a tiered methodology to judge the implications of the emissions of chemicals from agricultural practices, domestic discharges, and urban runoff in a quantitative model. The results showed land use-dependent mixture exposures, clearly discriminating downstream effects of land uses, with unique chemical "signatures" regarding composition, concentration, and temporal patterns. Associated risks were characterized in relation to the land-use scenarios. Comparisons to measured environmental concentrations and predicted impacts showed relatively good similarity. The results suggest that the land uses imply exceedances of regulatory protective environmental quality standards, varying over time in relation to rain events and associated flow and dilution variation. Higher-tier analyses using ecotoxicological effect criteria confirmed that species assemblages may be affected by exposures exceeding no-effect levels and that mixture exposure could be associated with predicted species loss under certain situations. The model outcomes can inform various types of prioritization to support risk management, including a ranking across land uses as a whole, a ranking on characteristics of exposure times and frequencies, and various rankings of the relative role of individual chemicals. Though all results are based on in silico assessments, the prospective land use-based approach applied in the present study yields useful insights for simplifying and assessing potential ecological risks of chemical mixtures and can therefore be useful for catchment-management decisions. Environ Toxicol Chem 2018;37:715-728. © 2017 The Authors. Environmental Toxicology Chemistry Published by Wiley Periodicals, Inc.
生态风险评估越来越关注化学混合物和多种胁迫因素的风险,因为生态系统通常会接触到大量的污染物和非化学胁迫因素。为了简化评估潜在混合物效应的任务,我们探讨了 3 种与土地利用相关的化学排放情景。我们应用分层方法,在定量模型中判断农业实践、家庭排放和城市径流中化学物质排放的影响。结果表明,土地利用依赖于混合物暴露,可明确区分土地利用的下游效应,并具有关于组成、浓度和时间模式的独特化学“特征”。相关风险与土地利用情景有关。与实测环境浓度和预测影响的比较表明,具有相对较好的相似性。结果表明,土地利用意味着超过监管保护环境质量标准,随着与雨水事件及相关流量和稀释变化有关的时间而变化。使用生态毒理学效应标准进行的更高级别分析证实,物种组合可能会受到超过无影响水平的暴露的影响,并且在某些情况下,混合物暴露可能与预测的物种损失有关。模型结果可以为各种类型的优先级排序提供信息,以支持风险管理,包括对整个土地利用的排序、对暴露时间和频率特征的排序以及对个别化学物质的相对作用的各种排序。尽管所有结果均基于计算机模拟评估,但本研究中应用的基于预期土地利用的方法可简化和评估化学混合物的潜在生态风险,并因此可用于集水区管理决策。Environ Toxicol Chem 2018;37:715-728。©2017 作者。环境毒理学化学由 Wiley Periodicals, Inc. 出版