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Use of terrestrial model ecosystem data in environmental risk assessment for industrial chemicals, biocides and plant protection products in the EU.

机译:在欧盟中,将地面模型生态系统数据用于工业化学品,杀生物剂和植物保护产品的环境风险评估中。

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摘要

Risk assessment approaches within the regulatory framework of the European Union (EU) based on single species tests were compared to those using data from terrestrial model ecosystems (TMEs). In a case study with the fungicide carbendazim, single species data led to ratios of the predicted environmental concentration (PEC) and predicted no effect concentration (PNEC) of above 1000, depending on available data and related assessment factors, indicating concern for the terrestrial environment. Considering the high degree of realism of the TME studies with multiple endpoints measured, but also residual uncertainty related to higher variability of endpoints, an assessment factor of 5 was applied on TME data. The most sensitive reliable endpoint was earthworm biomass. With the TME studies yielding slightly higher effect thresholds compared to laboratory data, and due to the lower assessment factor, the PEC/PNEC ratio was lowered to 5. This means that there would be concern for high application rates of carbendazim.
机译:将欧洲联盟(EU)监管框架内基于单一物种测试的风险评估方法与使用陆地模型生态系统(TME)数据的方法进行了比较。在使用杀菌剂多菌灵的案例研究中,单种数据导致预测环境浓度(PEC)与预测无影响浓度(PNEC)的比率超过1000,具体取决于可用数据和相关评估因素,表明对陆地环境的关注。考虑到TME研究具有高度现实性,其中测量了多个端点,而且还考虑到与端点更高的可变性相关的残留不确定性,因此对TME数据使用5的评估因子。最敏感的可靠终点是worm生物量。与实验室数据相比,TME研究产生的效应阈值略高,并且由于评估因子较低,PEC / PNEC比率降低至5。这意味着多菌灵的高施用率值得关注。

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