Study on numerical simulation method of extreme rain flood risk in plain river network cities
HUANG Xuan, LIU Guoqing, LIU Sien, YANG Fan, WU Jingxiu, FAN Ziwu
1. Nanjing Hydraulic Research Institute, Nanjing 210029; 2. Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, Nanjing 210029
Abstract：Under the influence of global climate change and human activities, extreme rainstorm events occur frequently. Especially，Zhengzhou "July 20" extreme rainstorm alarmed people about the urban flood risk. In order to solve the problem of the extreme rainstrom flood simulation in plain river network cities, a modeling method, which is refined urban scale model coupled with basinal scale model, was purposed, and the boundary condition considered the combination of the precipitation process of Zhengzhou and local Characteristics of rainfall and water level. Based on the simulation method, a one-dimensional and two-dimensional coupled hydrological and hydrodynamic flood analysis model was constructed. Taking Wuxi city as the research object, the flood process under different times of the extreme rainstrom event of Zhengzhou city was simulated. Flood disaster characteristics of cities in plain river network under the extreme rainstrom was revealed based on the analysis of the distribution of inundation risks and variation law of river network water level. The research results can provide method support for numerical simulation of the urban extreme flood disaster, and provide theoretical basis for urban flood control and development planning, reducing disaster losses to the greatest extent.
黄玄, 刘国庆, 刘思恩, 杨帆, 乌景秀, 范子武. 平原河网城市极端暴雨洪涝风险数值模拟方法研究[J]. 中国防汛抗旱, 2023, 33(7): 21-27,33.
HUANG Xuan, LIU Guoqing, LIU Sien, YANG Fan, WU Jingxiu, FAN Ziwu. Study on numerical simulation method of extreme rain flood risk in plain river network cities. journal1, 2023, 33(7): 21-27,33.
2023, Vol. 33 
