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Assessment of the effects of best environmental practices on reducing pesticide contamination in surface water, using multi-criteria modelling combined with a GIS

机译:使用多准则建模和GIS评估最佳环境实践对减少地表水中农药污染的影响

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摘要

For half a century, the significant development of intensive farming has led to a massive use of products such as pesticides. The excessive use of these substances has contaminated surface water and groundwater. Some drinking water extraction points have also had to be abandoned. Around 30 years ago, in the southwest of France, a group of farmers decided to improve their farming methods, as well as developing new best environmental practices, such as grass strips along streams and riparian forests. By combining ELECTRE TRI-C, a sorting multi-criteria model, with a GIS, we were able to assign each farming parcel to one of the five levels of risk associated with surface water pesticide contamination. We also assessed the effectiveness of best environmental practices, and found that their use led to a reduction in the risk of pesticide transfer. This methodology re-enforces decision support tools for both water resource managers and agricultural and environmental stakeholders.
机译:半个世纪以来,集约化农业的显着发展导致大量使用农药等产品。这些物质的过量使用污染了地表水和地下水。也必须放弃一些饮用水提取点。大约30年前,在法国西南部,一群农民决定改善他们的耕作方法,并开发新的最佳环境做法,例如溪流和河岸森林上的草条。通过将分类多标准模型ELECTRE TRI-C与GIS相结合,我们能够将每个耕地分配给与地表水农药污染相关的五个风险级别之一。我们还评估了最佳环境实践的有效性,并发现使用它们可以降低农药转移的风险。这种方法为水资源管理者以及农业和环境利益相关者加强了决策支持工具。

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