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Sensitivity of the peak flows to the spatial variability of the soil infiltration capacity for different climatic scenarios

机译:在不同气候条件下,峰值流量对土壤入渗能力的空间变异性的敏感性

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The use of distributed rainfall-runoff models in applied hydrology has been widely increased in the latter years. One of the main advantages that these model possess with respect to their lumped-parameters counterpart is the possibility to account for the spatial variability of the local runoff production. However, the application of these models is often limited by the large amount of data required, which are quite difficult to obtain. A possible way out for reducing the data requirements of distributed models is to neglect the spatial variability of the soil infiltration process by lumping the correspondent model parameters at the basin scale. This might be a reasonable assumption if one is interested in modelling those situations where the spatial variability of infiltration is expected to exert a marginal effect on the river discharge. Accordingly, the present study is aimed at verifying the effects of the spatial variability of the soil infiltration parameters on the flood flows modelled by a distributed model, for different climatic scenarios. The analysis is carried out referring to the case study of the Secchia River basin, located in northern Italy.
机译:在随后的几年中,分布式降雨-径流模型在应用水文学中的使用已经广泛增加。这些模型相对于集总参数模型具有的主要优点之一是可以考虑局部径流产量的空间变异性。但是,这些模型的应用通常受到所需大量数据的限制,而这些数据很难获得。减少分布式模型数据需求的一种可能方法是通过将相应模型参数集中在流域尺度上来忽略土壤入渗过程的空间变异性。如果有人希望对那些渗入的空间变化对河流流量产生边际影响的情况进行建模,这可能是一个合理的假设。因此,本研究旨在验证针对不同气候情景的土壤入渗参数的空间变异性对由分布式模型建模的洪水流量的影响。该分析是参考位于意大利北部的塞奇亚河盆地的案例进行的。

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