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Selection of regional historical rainfall time series as input to urban drainage simulations at ungauged locations

机译:选择区域历史降雨时间序列作为未设防地点的城市排水模拟的输入

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It has become established practice during the past 20 years to use high-resolution historical rainfall time series as input to hydrological model packages for detailed simulation of urban drainage systems. However, sufficiently long rain series are rarely available from the exact catchment in question and simulations are hence often based on available rain series from other locations. Extreme rainfall properties of importance to the performance of urban storm drainage systems vary significantly even in regions with only minor physiographic differences. Part of this variation can be explained by regional variations of the mean annual rainfall and the remaining statistical residue can be interpreted as statistical uncertainty. In Denmark, more than 75 high-resolution rain gauges are installed across a total area of 43,000 m. About 40 gauges had sufficiently long records to be included in a comprehensive national investigation where newly developed statistical regionalisation procedures were used to model the regional variation of extreme rainfalls. On this basis, a spreadsheet model was made available for estimation of extreme design rainfalls and the associated uncertainty at any location in the country. Statistics were furthermore computed to classify historical rainfall time series according to the developed regional model, and this makes it possible to assess the uncertainty related with using different historical rain series for simulations at ungauged locations. This research indicates that use of historical point rainfall data at ungauged locations introduces a significant uncertainty that is largely overlooked in today's practice. The engineering recommendation is to select historical rain series based on an evaluation of the local physiographic characteristics (e.g., the mean annual rainfall) and a (pre-defined) desired safety level of the simulations.
机译:在过去的20年中,使用高分辨率的历史降雨时间序列作为水文模型数据包的输入已成为惯例,以详细模拟城市排水系统。但是,确切的流域很少有足够长的降雨序列,因此模拟通常基于其他位置的可用降雨序列。对城市雨水排放系统的性能至关重要的极端降雨性质,即使在生理差异很小的地区也有很大差异。这种变化的部分原因可以通过年平均降雨量的区域变化来解释,而剩余的统计残差可以解释为统计不确定性。在丹麦,安装了75台高分辨率雨量计,总面积为43,000 m。大约40个仪表具有足够长的记录,可用于全面的全国调查,在该调查中,使用了新开发的统计区域化程序来模拟极端降雨的区域变化。在此基础上,提供了一个电子表格模型,可用于估算该国任何位置的极端设计降雨量和相关的不确定性。此外,还根据发达的区域模型对统计数据进行了计算,以对历史降雨时间序列进行分类,这使得评估未使用位置的模拟使用不同的历史降雨序列相关的不确定性成为可能。这项研究表明,在无人值守的地点使用历史点降雨数据会带来很大的不确定性,而这种不确定性在当今的实践中已被忽略。工程建议是基于对当地生理特征(例如年平均降雨量)的评估和模拟的(预定)期望安全水平来选择历史降雨序列。

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