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Land-use optimization for controlling peak flow discharge and nonpoint source water pollution

机译:土地利用优化,以控制洪峰流量和面源水污染

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In this paper we present and apply a modeling methodology to reduce stormwater runoff through land-use planning, in order to mitigate the impact of nonpoint source pollution. A storm-water-runoff simulation model is used to generate peak discharge pseudodata, that are inputted into a regression analysis, in which the functional relationship between peak discharge and land-use variables is approximated as a quadratic function (R~2 = 0.98). This function is then used in an optimization model to allocate future land uses (urban, conservation, and agriculture) at the sub-watershed level, in a way that minimizes the resulting peak discharge at the watershed outlet. A discharge reduction of 44% is achieved, compared with the discharge resulting from the present (actual) land-use pattern. The most downstream and upstream areas are to be protected with more conservation, and most urban activities are allocated to the minimal impact subwatershed. Sensitivity analyses are performed and suggest maintaining at least 25% of the land in a conservation state, developing no more than 12% for urban purposes, and no more than 70% for agricultural purposes.
机译:在本文中,我们介绍并应用一种建模方法,以通过土地利用规划来减少雨水径流,从而减轻面源污染的影响。雨水径流模拟模型用于生成峰值排放伪数据,将其输入到回归分析中,其中峰值排放与土地利用变量之间的函数关系近似为二次函数(R〜2 = 0.98) 。然后,在优化模型中使用此函数,以最小化集水区出口处的峰值流量的方式在子集水区级别分配未来的土地用途(城市,保护区和农业)。与目前(实际)土地利用方式产生的排放相比,减少了44%的排放。最下游和上游地区将得到更多的保护,大多数城市活动将分配给影响最小的小流域。进行了敏感性分析,建议将至少25%的土地保持在保护状态,用于城市发展的土地不超过12%,用于农业发展的土地不超过70%。

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