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The Influence of Rainfall and Catchment Critical Scales on Urban Hydrological Response Sensitivity

机译:降雨和集水临界尺度对城市水文响应敏感性的影响

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Interactions between spatial and temporal variability of rainfall and catchment characteristics strongly influence hydrological response. In urban areas, where runoff generation is fast due to high imperviousness degree, it is especially relevant to capture the high spatiotemporal rainfall variability. Significant progress has been made in the development of spatially distributed rainfall measurements and of distributed hydrological models, to represent the variability of catchment's characteristics. Interactions between rainfall and basin scales on hydrological response sensitivity, however, needs deeper investigation. A previous study investigated the hydrological response in the small urbanized catchment of Cranbrook (8 km(2), London, UK) and proposed three dimensionless "scale factors" to identify if the available rainfall resolution is sufficient to properly predict hydrological response. We aim to verify the applicability of these scale factors to larger scales, with a distinct physiographic setting, in Little Sugar Creek (111 km(2), Charlotte, USA), to identify the required rainfall resolution and to predict model performance. Twenty-eight events were selected from a weather radar data set from the National Weather Radar Network, with a resolution of 1 km(2) and 15 min. Rainfall data were aggregated to coarser resolutions and used as input for a distributed hydrological model. Results show that scale factors and associated thresholds are generally applicable for characterization of urban flood response to rainfall across spatiotemporal scales. Additionally, application of scale factors in observation-based analysis supports identification of event characteristics that are poorly captured and critical improvements that need to be made before the model can benefit from high-resolution rainfall.
机译:降雨时空变化与流域特征之间的相互作用强烈影响水文响应。在城市地区,由于不透水度高,径流产生快,因此捕获高时空降雨变异性尤为重要。在发展空间分布降雨测量和分布式水文模型方面取得了重大进展,以代表流域特征的变化。然而,降雨和流域尺度之间的相互作用对水​​文响应敏感性有待于深入研究。先前的研究调查了Cranbrook(8公里(2),英国伦敦)的小型城市集水区的水文响应,并提出了三个无量纲的“比例因子”,以确定可用的降雨分辨率是否足以正确预测水文响应。我们旨在验证这些比例因子在小糖溪(111 km(2),美国夏洛特,美国)具有独特的自然地理环境下在更大范围内的适用性,从而确定所需的降雨分辨率并预测模型性能。从国家气象雷达网络的气象雷达数据集中选择了28个事件,其分辨率为1 km(2)和15分钟。降雨数据被汇总为较粗略的分辨率,并用作分布式水文模型的输入。结果表明,比例因子和相关的阈值通常适用于表征跨时空范围的城市洪水对降雨的响应。此外,比例因子在基于观测的分析中的应用还支持识别难以捕获的事件特征以及在模型可以从高分辨率降雨中受益之前需要进行的关键改进。

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