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Impacts of small scale rainfall variability in urban areas: a case study with 1D and 1D/2D hydrological models in a multifractal framework

机译:城市地区小尺度降雨变化的影响:以一维和一维/二维水文模型为例的多重分形框架研究

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In this paper the sensitivity to small scale unmeasured rainfall variability (i.e. at scales smaller than 1km by 1km by 5min in time, which are usually available with C-band radars) of a 1D/2D model with a 10m resolution and a semi-distributed 1D model of the same 1.47km(2) urban area is analyzed. The 1D/2D model is the open source numerical platform Multi-Hydro, which couples (open source) distributed models of involved hydrological/hydraulic processes. The methodology implemented to evaluate the uncertainties consists of generating an ensemble of realistic rainfall fields downscaled to a resolution of 12.3m in space and 18.75s in time with the help of a stochastic universal multifractal model. The corresponding ensemble of hydrographs is then simulated. It appears that the uncertainty is significant and that Multi-Hydro unveils much more uncertainty than the simpler 1D model. This points out a need to develop high resolution distributed modelling in urban areas.
机译:本文对分辨率为10m且半分布式的1D / 2D模型的小尺度未测降雨变化(即在小于1km乘1km乘以5min的尺度,通常在C波段雷达中可获得)的敏感性分析了同一1.47km(2)市区的一维模型。 1D / 2D模型是开放源数字平台Multi-Hydro,它耦合(开放源)涉及的水文/水力过程的分布式模型。评估不确定性所采用的方法包括在随机通用多重分形模型的帮助下,生成一组现实的降雨场,这些降雨场的空间分辨率降为12.3m,时间分辨率为18.75s。然后模拟水文图的相应集合。看起来不确定性是很大的,而且Multi-Hydro所揭示的不确定性要比简单的1D模型大得多。这表明需要在城市地区开发高分辨率的分布式模型。

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