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Application of a multidisciplinary and integrative weight-of-evidence approach to a 1-year monitoring survey of the Seine River

机译:多学科和综合权重方法在塞纳河对1年监测调查中的应用

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摘要

Quality assessment of environments under high anthropogenic pressures such as the Seine Basin, subjected to complex and chronic inputs, can only be based on combined chemical and biological analyses. The present study integrates and summarizes a multidisciplinary dataset acquired throughout a 1-year monitoring survey conducted at three workshop sites along the Seine River (PIREN-Seine program), upstream and downstream of the Paris conurbation, during four seasonal campaigns using a weight-of-evidence approach. Sediment and water column chemical analyses, bioaccumulation levels and biomarker responses in caged gammarids, and laboratory (eco)toxicity bioassays were integrated into four lines of evidence (LOEs). Results from each LOE clearly reflected an anthropogenic gradient, with contamination levels and biological effects increasing from upstream to downstream of Paris, in good agreement with the variations in the structure and composition of bacterial communities from the water column. Based on annual average data, the global hazard was summarized as "moderate" at the upstream station and as "major" at the two downstream ones. Seasonal variability was also highlighted; the winter campaign was least impacted. The model was notably improved using previously established reference and threshold values from national-scale studies. It undoubtedly represents a powerful practical tool to facilitate the decision-making processes of environment managers within the framework of an environmental risk assessment strategy.
机译:在高性能压力下的环境评估如塞纳河盆地,经过复合物和慢性投入,只能基于组合的化学和生物分析。本研究整合并概述了在塞纳河(Piren-Seine计划),在巴黎发生的三个研讨会网站,在巴黎发生的三个研讨会地点进行的一年监测调查中获得的多学科数据集,在巴黎发生的四个季节性竞选期间使用权重 - 等待方法。沉积物和水柱化学分析,笼养γ的生物积累水平和生物标志物反应,实验室(ECO)毒性生物测定融为四行证据(LOES)。每个LOE的结果显然反映了一种人为梯度,污染水平和生物学效应从巴黎的上游增加,与水柱结构和组成的结构和组成的变化吻合良好。根据年度平均数据,全球危害总结为上游站的“中等”,在两个下游站点是“主要”。季节性变异也突出显示;冬季运动是最不影响的。使用先前建立的国家规模研究的参考和阈值,该模型显着改善。无疑代表了一个强大的实用工具,以促进环境管理人员在环境风险评估策略的框架内的决策过程。

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