A smart-framework for urban flood and waterlogging analysis
LUO Cui1, LIU Yesen2,3, LIU Yuanyuan2,3, MU Jie2,3, LIU Xunping1, FENG Mengmeng1
1. Shenzhen Guanghuiyuan Environmental Water Co., Ltd., Shenzhen 518018; 2. China Institute of Water Resources and Hydropower Research, Beijing 100038; 3. Research Center on Flood and Drought Disaster Reduction of the Ministry of Water Resources, Beijing 100038
Abstract:A smart-framework for urban flood and waterlogging analysis is designed by integrating various technologies,such as flood and waterlogging model,machine learning and case decision etc; which meets the needs of flood emergency decision-making. Firstly,the urban flood model is used to establish the waterlogging scheme database with drainage division as the unit. Secondly,the temporal and spatial patterns of typical urban rainfall are extracted based on long series historical rainfall data. When a heavy rainfall event occurs, the first step is to assimilate the multi-source rainfall data and distinguish the spatial and temporal patterns. The second step is to use the rainfall and hydrological data as the boundary conditions to calculate the flood process of reservoirs and rivers by using the hydrological and river channel models. At the same time,based on the similar rainfall of drainage partition scale,the waterlogging results of each drainage partition extracted from the waterlogging scheme database are matched,In the third step,the real-time flood calculation results and waterlogging matching results of reservoirs and rivers are summarized,and the analysis report is generated according to the structured template. Finally,the analysis report is confirmed and improved by experts to provide support for emergency decision-making. The method has been applied in Hewan District of Shenzhen City and good results have been obtained.
雒翠, 刘业森, 刘媛媛, 穆杰, 刘训平, 冯蒙蒙. 一种城市洪涝快速分析方法的设计与应用[J]. 中国防汛抗旱, 2021, 31(7): 17-22.
LUO Cui, LIU Yesen, LIU Yuanyuan, MU Jie, LIU Xunping, FENG Mengmeng. A smart-framework for urban flood and waterlogging analysis. journal1, 2021, 31(7): 17-22.