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Quantifying the impact of small scale unmeasured rainfall variability on urban runoff through multifractal downscaling: A case study

机译:通过多重分形降尺度量化小规模未测降雨变化对城市径流的影响:一个案例研究

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摘要

This paper aims at quantifying the uncertainty on urban runoff associated with the unmeasured small scale rainfall variability, i.e. at a resolution finer than 1. km. ×. 1. km. ×. 5. min which is usually available with C-band radar networks. A case study is done on the 900. ha urban catchment of Cranbrook (London). A frontal and a convective rainfall event are analysed. An ensemble prediction approach is implemented, that is to say an ensemble of realistic downscaled rainfall fields is generated with the help of universal multifractals, and the corresponding ensemble of hydrographs is simulated. It appears that the uncertainty on the simulated peak flow is significant, reaching for some conduits 25% and 40% respectively for the frontal and the convective events. The flow corresponding the 90% quantile, the one simulated with radar distributed rainfall, and the spatial resolution are power law related.
机译:本文旨在量化与未测量的小规模降雨变化相关的城市径流的不确定性,即分辨率小于1. km。 ×。 1.公里×。 5.分钟,通常在C波段雷达网络中可用。在Cranbrook(伦敦)900公顷的城市集水区进行了案例研究。分析了一次正面和对流降雨事件。实现了整体预测方法,也就是说,借助通用多重分形生成了真实的按比例缩小的降雨场整体,并模拟了相应的水文图整体。看来,模拟峰值流量的不确定性是很大的,某些管道的正面和对流事件分别达到25%和40%。流量对应于90%的分位数,雷达分布降雨模拟的分位数和空间分辨率与幂律相关。

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