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PESTICIDE RISK ASSESSMENT IN A LAGOON ECOSYSTEM. PART Ⅰ: EXPOSURE ASSESSMENT

机译:泻湖生态系统中的农药风险评估。第一部分:接触评估

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This work is the first step of a research project on pesticide risk assessment for a coastal lagoon ecosystem (Orbetello lagoon, central Italy). Pesticide exposure was evaluated by means of predict] ve and experimental approaches. Predicted environmental concentrations (PECs) for water and sediments were estimated using fugacity-based multimedia models. Pesticide loads were quantified through a study of the use to which agricultural land was put in the study area. Multimedia fate models were used to predict the environmental concentration of 29 active ingredients (mainly insecticides and herbicides) selected among the most widely used within the catchment basin. Worst-case environmental scenarios were developed for the application of these models, in agreement with the precautionary principle. Experimental monitoring was performed on 10 selected chemicals. To assess the value and limitations of predictive and experimental approaches, calculated PECs and monitoring results were compared and discussed. Combined modeling and monitoring approaches have been found to be the best way to date to assess proper exposure.
机译:这项工作是针对沿海泻湖生态系统(意大利中部奥尔贝泰洛泻湖)的农药风险评估研究项目的第一步。通过预测和实验方法评估农药暴露。使用基于逸度的多媒体模型估算了水和沉积物的预测环境浓度(PEC)。通过对研究区域农用土地用途的研究,对农药负荷进行了量化。多媒体命运模型用于预测在集水盆地中使用最广泛的29种活性成分(主要是杀虫剂和除草剂)的环境浓度。根据预防原则,为这些模型的应用开发了最坏的环境方案。对10种选定的化学物质进行了实验监测。为了评估预测和实验方法的价值和局限性,比较并讨论了计算得出的PEC和监测结果。迄今为止,已发现结合建模和监测方法是评估适当暴露的最佳方法。

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