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Evaluation of storage-discharge relationships and recession analysis-based distributed hourly runoff simulation in large-scale, mountainous and snow-influenced catchment

机译:大型,山区和受雪影响流域的储水关系评估和基于衰退分析的分布式小时径流模拟

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Evaluation of a recession-based top-down model for distributed hourly runoff simulation in macroscale mountainous catchments is rare in the literature. We evaluated such a model for a 3090km(2) boreal catchment and its internal sub-catchments. The main research question is how the model performs when parameters are either estimated from streamflow recession or obtained by calibration. The model reproduced observed streamflow hydrographs (Nash-Sutcliffe efficiency up to 0.83) and flow duration curves. Transferability of parameters to the sub-catchments validates the performance of the model, and indicates an opportunity for prediction in ungauged sites. However, the cases of parameter estimation and calibration excluding the effects of runoff routing underestimate peak flows. The lower end of the recession and the minimum length of recession segments included are the main sources of uncertainty for parameter estimation. Despite the small number of calibrated parameters, the model is susceptible to parameter uncertainty and identifiability problems.
机译:文献中很少评估基于衰退的自上而下模型,用于在大型山区流域进行分布式小时径流模拟。我们针对3090km(2)的北方集水区及其内部子集水区评估了这种模型。主要的研究问题是当从流量衰退估计参数或通过校准获得参数时,模型如何执行。该模型复制了观测到的水流水文曲线(纳什-苏特克利夫效率高达0.83)和水流持续时间曲线。参数到子汇水面积的可传递性验证了模型的性能,并指示了在未开垦地点进行预测的机会。但是,排除径流路径影响的参数估计和校准情况会低估峰值流量。衰退的下端和衰退段的最小长度是参数估计不确定性的主要来源。尽管校准参数的数量很少,但是该模型易受参数不确定性和可识别性问题的影响。

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