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Effects of urban imperviousness scenarios on simulated storm flow

机译:城市不透水情景对模拟风暴流的影响

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The amount and distribution of impervious surfaces are important input parameters of hydrological models, especially in highly urbanized basins. This study tests three different methods to input impervious surface area information to a semi-distributed hydrological model in order to examine their effects on storm flow. The three methods being evaluated include: (1) a constant value for impervious surfaces in the entire urban area, (2) constant values of imperviousness for commercial and residential land uses, respectively, and (3) different imperviousness for the residential land use in each subbasin. Storm flow of the Milwaukee River Basin in southeastern Wisconsin (USA) was modeled using the Hydrological Simulation Program-Fortran. The results show that the three methods resulted in substantially different amounts of storm flow. The storm flow simulated with the third method was the largest and had the largest variability between the subbasins. The differences between the scenarios are generally larger in subbasins with high percentage of urban land use types. The results suggest that the effect of different input methods is amplified in urbanized subbasins and the spatial variability of imperviousness should be commensurate with the spatial variability of the model configuration.
机译:防渗面的数量和分布是水文模型的重要输入参数,尤其是在高度城市化的盆地中。本研究测试了三种将不透水表面积信息输入半分布式水文模型的方法,以检验其对暴雨流量的影响。评估的三种方法包括:(1)整个市区的不透水表面的恒定值;(2)分别用于商业和住宅用地的不透水的恒定值;以及(3)住宅用地中的不透水的不透水每个子盆地。威斯康星州东南部(美国)密尔沃基河流域的暴雨流是使用Fortran水文模拟程序进行建模的。结果表明,这三种方法导致的暴风雨量基本不同。第三种方法模拟的暴雨流量最大,子流域之间的变异性最大。在城市土地使用类型百分比高的子流域中,情景之间的差异通常更大。结果表明,在城市化的子盆地中,不同输入方法的效果得到了放大,并且防渗性的空间变异性应与模型配置的空间变异性相称。

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