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Landscape Planning For Agricultural Non-point Source Pollution Reduction. Ⅱ. Balancing Watershed Size, Number Of Watersheds, And Implementation Effort

机译:农业面源污染减少景观规划。 Ⅱ。流域规模,流域数量和实施工作之间的平衡

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Agricultural non-point source (NPS) pollution poses a severe threat to water quality and aquatic ecosystems. In response, tremendous efforts have been directed toward reducing these pollution inputs by implementing agricultural conservation practices. Although conservation practices reduce pollution inputs from individual fields, scaling pollution control benefits up to the watershed level (i.e., improvements in stream water quality) has been a difficult challenge. This difficulty highlights the need for NPS reduction programs that focus efforts within target watersheds and at specific locations within target watersheds, with the ultimate goal of improving stream water quality. Fundamental program design features for NPS control programs-i.e., number of watersheds in the program, total watershed area, and level of effort expended within watersheds-have not been considered in any sort of formal analysis. Here, we present an optimization model that explores the programmatic and environmental tradeoffs between these design choices. Across a series of annual program budgets ranging from $2 to $200 million, the optimal number of watersheds ranged from 3 to 27; optimal watershed area ranged from 29 to 214 km~2; and optimal expenditure ranged from $21,000 to $35,000/km~2. The optimal program configuration was highly dependent on total program budget. Based on our general findings, we delineated hydrologically complete and spatially independent watersheds ranging in area from 20 to 100 km~2. These watersheds are designed to serve as implementation units for a targeted NPS pollution control program currently being developed in Wisconsin.
机译:农业面源污染对水质和水生生态系统构成了严重威胁。作为响应,已经通过实施农业保护实践来为减少这些污染投入做出了巨大的努力。尽管保护实践减少了来自各个领域的污染投入,但是将污染控制的益处扩展到流域水平(即,改善溪水水质)一直是困难的挑战。这一困难突出表明,需要减少NPS计划,这些计划的重点是目标流域内以及目标流域内特定位置的努力,其最终目标是改善溪流水质。 NPS控制程序的基本程序设计功能,即程序中的集水区数量,总集水区面积以及集水区内的工作量,在任何形式的正式分析中都没有考虑。在这里,我们提出了一个优化模型,该模型探索了这些设计选择之间的程序设计和环境权衡。在一系列年度计划预算中,从2美元到2亿美元不等,最佳集水区的数量从3到27不等。最佳流域面积为29〜214 km〜2;最佳支出的范围从$ 21,000到$ 35,000 / km〜2。最佳的程序配置在很大程度上取决于总程序预算。根据我们的总体发现,我们划定了范围从20到100 km〜2的水文完整和空间独立的分水岭。这些流域旨在用作威斯康星州目前正在制定的目标NPS污染控制计划的实施单位。

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