Maxted Jeffrey T, Diebel Matthew W, Vander Zanden M Jake
Center for Limnology, University of Wisconsin-Madison, 680 N. Park St., Madison, WI 53706, USA.
Environ Manage. 2009 Jan;43(1):60-8. doi: 10.1007/s00267-008-9174-7. Epub 2008 Jul 2.
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 trade-offs 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.
农业面源污染对水质和水生生态系统构成严重威胁。作为应对措施,人们已付出巨大努力,通过实施农业保护措施来减少这些污染输入。尽管保护措施减少了单个农田的污染输入,但将污染控制效益扩大到流域层面(即改善溪流水质)一直是一项艰巨挑战。这一困难凸显了开展面源污染减排项目的必要性,这些项目应聚焦于目标流域及其内的特定地点,最终目标是改善溪流水质。面源污染控制项目的基本设计特征,即项目中的流域数量、流域总面积以及在流域内投入的工作量,尚未在任何形式的正式分析中得到考虑。在此,我们提出一个优化模型,该模型探讨了这些设计选择之间在项目规划和环境方面的权衡。在一系列年度项目预算从200万美元到2亿美元的范围内,最优流域数量从3个到27个不等;最优流域面积从29平方千米到214平方千米不等;最优支出从每平方千米2.1万美元到3.5万美元不等。最优项目配置高度依赖于项目总预算。基于我们的总体研究结果,我们划定了面积从20平方千米到100平方千米的水文完整且空间独立的流域。这些流域旨在作为目前正在威斯康星州制定的针对性面源污染控制项目的实施单元。