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Rainfall runoff modeling in agricultural watershed using 2D shallow water equations

机译:利用二维浅水方程对农业流域降雨径流进行建模

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A 2D numerical model based on shallow-water equations is used for rainfall-runoff modeling. The rainfall intensity and infiltration rate are added as source and sink terms in the continuity equation. The Green-Ampt method is used for calculation of the infiltration rate. The model considers the spatial variability of rainfall, infiltration parameters and the Manning's friction coefficient. The GIS layers such as DEM, soil type, and land use can be directly used as input for the model. Spatio-temporal distribution of the rainfall over the watershed is determined based on rain gauge records. The model is applied to Goodwin Creek experimental watershed located in northern Mississippi. The model parameters are first calibrated using a single storm event. Using the calibrated parameters, the model is then applied to a serried of consecutive storm events. The comparison of computed and measured runoff discharge at the outlet of the watersheds shows good agreement. The results of this study indicate that this model can be used for modeling rainfall-runoff in large watersheds based on a historical or predicted rainfall distribution.
机译:基于浅水方程的二维数值模型被用于降雨径流模拟。降雨强度和入渗率在连续性方程中作为源项和汇项相加。 Green-Ampt方法用于计算渗透率。该模型考虑了降雨的空间变异性,入渗参数和曼宁摩擦系数。可以将诸如DEM,土壤类型和土地使用等GIS层直接用作模型的输入。根据雨量计记录确定流域内降雨的时空分布。该模型应用于位于密西西比州北部的Goodwin Creek实验流域。首先使用单个风暴事件对模型参数进行校准。然后使用校准后的参数将模型应用于一系列连续的暴风雨事件。流域出口径流量的计算值与实测值的比较显示出很好的一致性。这项研究的结果表明,该模型可用于基于历史或预测的降雨分布对大型流域的降雨径流进行建模。

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