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DISTRIBUTED RAINFALL-RUNOFF MODELING APPLICATION FOR THE URBANIZED CATCHMENT

机译:城市化集水区的分布式降雨-径流建模应用

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The distributed model, Vflow~TM, was applied to compute flood hydrographs from two major storms in a 299-km~2 urbanized catchment. The input parameters were prepared from a land use map, a soil map, and a digital elevation model. Calibration efforts were focused on infiltration parameters including saturated hydraulic conductivity and initial saturation, and on timing of peak discharges including channel slope and roughness. Two different methods for precipitation grid generation, the IDW (Inverse Distance Weighted) and the Thiessen weighting, were compared and the so-called 'tent pole effect' was clearly identified for sparse-density gage network. In terms of computing peaks and their timing of flood hydrographs, the overall performance of the distributed model, Vflow~(TM), seems to be quite impressive except relatively big discrepancy on the falling limbs which might be attributable to the interflow.
机译:分布式模型VflowTM被用于计算299 km〜2的城市集水区中两次大风暴的洪水水位图。输入参数是从土地利用图,土壤图和数字高程模型准备的。校准工作的重点是渗透参数,包括饱和的水力传导率和初始饱和度,以及峰值排放的时机,包括通道斜率和粗糙度。比较了两种不同的降水网格生成方法,即IDW(反距离加权)和Thiessen加权,并为稀疏密度计网络清楚地识别了所谓的“帐篷极效应”。在计算洪峰和洪水水位图的时间方面,分布式模型Vflow〜(TM)的总体性能似乎非常出色,但下降的肢体上的较大差异可能归因于互流。

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