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Numerical Simulation Method of Extreme Rain Flood in Plain Urban

Author(s): Xuan Huang; Guoqing Liu; Sien Liu; Yang Fan; Jingtian Ma; Ziwu Fan

Linked Author(s): Ziwu Fan

Keywords: Extreme rain; Numerical simulation; Plain river network cities; Flood analysis model

Abstract: Under the influence of global climate change and human activities, extreme rain events occur frequently. An extreme rain with 201.9mm rain peak occurred in Zhengzhou, China on July 20,2021, bringing heavy losses to the city. In order to solve the problem of the extreme rain flood simulation in plain river network cities. A model building method, which is refined urban scale model coupled with basin scale model, was purposed. The boundary condition considered the combination of the precipitation process of Zhengzhou and local hydrological characteristics. A hydrologic and hydraulic coupled model was established based on this method. Taking Wuxi, China as the research object, the flood process under the extreme rain event of Zhengzhou was simulated. Flood disaster characteristics of cities in plain river network under the extreme rain was revealed based on the analysis of the distribution of inundation risks and variation law of river network water level. The results show that our method can be applied to the simulation of extreme rain with high accuracy, and the inundated area accounts for up to 60.1% in Wuxi when extreme rain occurred. The research results can provide method support for numerical simulation of the urban extreme rain disaster, and provide theoretical basis for urban flood control.

DOI: https://doi.org/10.3850/978-90-833476-1-5_iahr40wc-p1211-cd

Year: 2023

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