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A distributed hydrological model for flood forecasting in semi-arid regions

机译:半干旱地区洪水预报的分布水文模型

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A physically-based distributed hydrological model, which considers both the infiltration excess and saturation excess mechanisms, is presented. Infiltration excess runoff is modelled through a modified Green-Ampt model. Saturation excess runoff is calculated through the TOPMODEL concept using the topography index ln(α/tanβ). The generation of a spatially-distributed local water table pattern is calculated for each grid cell. A routing model based on the gamma function G(n,k) of the Nash unit hydrograph and travel time is employed to generate the runoff hydrograph. Some model parameters are estimated soil types or land cover data, and other parameters are optimized by the SCE-UA algorithm. The proposed model is calibrated and verified using hourly rainfall-runoff data from a semi-arid catchment named Linkou, which is a sub-basin of Yellow River with an area of 2476 km~2. Results indicate that both the simulated and forecast hydrographs possess good agreement with observations.
机译:提出了一种物理基础的分布式水文模型,其考虑渗透过量和饱和过量的机制。渗透过量的径流通过修改的绿色AMPT模型建模。使用TopModel概念使用地形指标LN(α/TANβ)计算饱和过量径流。针对每个网格单元计算空间分布的本地水位图案的产生。采用基于纳什单元水文和行程时间的伽马函数G(n,k)的路由模型来产生径流水文。一些型号参数是估计土壤类型或土地覆盖数据,并且其他参数由SCE-UA算法进行优化。拟议的模型被校准并使用每小时降雨 - 径流数据从名为linkou的半干旱集水区进行验证,该数据是一个黄河的子盆地,面积为2476 km〜2。结果表明,模拟和预测水文指示与观察结果均具有良好的一致性。

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