An enhanced inundation method for urban flood hazard mapping at the large catchment scale

An enhanced inundation method for urban flood hazard mapping at the large catchment scale
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大流域尺度城市洪水灾害绘图的增强淹没方法

DOI:
10.1016/j.jhydrol.2019.02.008
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发表时间:
2019-04
影响因子:
6.4
通讯作者:
Longgang Du
Longgang Du
中科院分区:
地球科学1区
文献类型:
--
作者:
Gang Zhao;Zongxue Xu;Bo Pang;Tongbi Tu;Liyang Xu;Longgang Du

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世界范围内城市洪涝灾害频发,城市水文模型在城市防洪减灾中得到广泛应用。在本研究中,提出了一种用于大流域尺度城市洪水灾害测绘的增强淹没方法(EIM)。 EIM可以很容易地与城市水文模型耦合,并且耦合框架可以考虑洪水生成中的源洪泛滥和非源洪泛洪。在EIM中,正过程中的洪水扩散顺序是基于洼地出口之间的拓扑关系;来自较低洼地要素的洪水被视为反馈过程。这些改进使得该方法适用于大型城市流域的洪水估计。选择中国北京大红门(DHM)流域作为案例研究区域来说明该方法的适用性。应用一场强风暴期间的历史洪水记录来测试该方法的性能。在 DHM 流域的洪水灾害图上将 EIM 与 USISM(城市风暴洪水模拟方法)进行比较,揭示了改进的有效性。结果表明,EIM成功识别了所有淹没位置,且均分布于流域内淹没区(水深大于0.15m)。模拟淹没深度的平均相对误差为15%,表明EIM能够成功模拟研究区的淹没范围和深度。结果表明,EIM 可以成为基于 GIS 技术在大流域范围内绘制城市洪水灾害地图的宝贵工具。
Urban flooding occurs frequently in the world and urban hydrological models are widely applied in urban flood management and disaster mitigation. In this study, an enhanced inundation method (EIM) for urban flood hazard mapping at the large catchment scale is proposed. EIM can be easily coupled with urban hydrological models and the coupled framework can consider both source flooding and non-source flooding in floodwater generation. In EIM, the floodwater spreading order in the positive process is based on the topological relationship between depression outlets; the floodwater from lower depression elements is considered as a feedback process. These improvements make this proposed method suitable for inundation estimation in large urban catchments. Dahongmen (DHM) catchment in Beijing, China was selected as the case study area to illustrate the applicability of the proposed method. Historical inundation records during one heavy storm were applied to test the performance of the method. EIM is compared with USISM (urban storm-inundation simulation method) on the flood hazard map in the DHM catchment, which reveals the effectiveness of the improvements. The results show that all inundation locations are successfully identified by EIM and are distributed in flooding areas (water depth greater than 0.15 m) in the catchment. The average relative error of simulated inundation depths is 15%, which indicates that EIM can successfully simulate flooding scopes and depths in the study area. The results revealed that EIM can be a valuable tool for mapping urban flood hazards at the large catchment scale based on GIS techniques.
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