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The effects of the spatial variability of soil infiltration capacity in distributed flood modelling

机译:分布式洪水模型中土壤入渗能力空间变异性的影响

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Spatial variability is recognized to exert a remarkable influence on the catchment hydrological response over a wide range of scales. Accordingly, one of the main advantages of distributed rainfall–runoff models is their capability of accounting for its effects. The application of these models, however, is often limited by the large amount of data required. Particularly, the spatial characterization of both the vegetation cover and soil type is needed in order to describe properly the spatial distribution of the soil infiltration properties. Lack of these data, which are often quite difficult to obtain in practice, is one of the reasons which may induce hydrologists to prefer the application of lumped models, despite their lower capability of describing hydrological processes. A possible way out for preserving the distributed nature of the model is neglecting the spatial variability of the soil infiltration process by lumping the correspondent model parameters at the basin scale, and describing the transfer of runoff production at the basin outlet through a distributed approach. Lumping the infiltration parameters might be a reasonable assumption if one is interested in modelling those situations where the spatial variability of the infiltration process is expected to exert a marginal effect on the river discharge. Accordingly, the present analysis is aimed at verifying the effects of the spatial variability of the soil infiltration parameters on the flood flows modelled by a distributed model, with special reference to a case study of a river basin located in northern Italy. The main purpose of this work is to derive indications in order to possibly reduce the data requirements of distributed models, thus encouraging their application even in the case of limited data availability. Copyright © 2000 John Wiley & Sons, Ltd.
机译:人们认识到空间变异性对流域水文响应的影响范围很广。因此,分布式降雨-径流模型的主要优点之一是能够解释其影响。但是,这些模型的应用通常受到所需大量数据的限制。特别地,需要植被覆盖物和土壤类型的空间特征,以便适当地描述土壤入渗特性的空间分布。这些数据的缺乏(通常在实践中通常很难获得)是导致水文学家偏爱集总模型应用的原因之一,尽管它们描述水文过程的能力较低。保持模型的分布式性质的一种可能方法是通过将相应的模型参数集中在流域规模上来忽略土壤入渗过程的空间变异性,并通过分布式方法描述流域出口处径流生产的转移。如果希望对渗透过程的空间变异性对河流流量产生边际影响的那些情况进行建模感兴趣,则将渗透参数集总起来可能是一个合理的假设。因此,本分析旨在验证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,并特别参考位于意大利北部流域的案例研究。这项工作的主要目的是获得指示,以便可能减少分布式模型的数据需求,从而即使在数据可用性有限的情况下也鼓励其应用。版权所有©2000 John Wiley&Sons,Ltd.

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