大洪水
自然灾害
弹性(材料科学)
城市化
预警系统
环境规划
风险分析(工程)
地理
环境资源管理
计算机科学
业务
环境科学
气象学
物理
考古
热力学
电信
经济增长
经济
作者
Xiaojie Sun,Guofeng Wen
标识
DOI:10.1145/3656766.3656911
摘要
With the acceleration of global climate change and urbanization, heavy rains and floods have become the most prominent natural disasters affecting the normal operation of cities. Rapid and accurate assessment of urban rainstorm and flood disaster risks can provide better early warning responses to disasters and reduce the occurrence of disaster losses. This paper first identifies the factors of disaster risk from both internal and external aspects that affect the urban system, and constructs an indicator system for disaster risk. Then it was used the BWM-entropy weight method to determine the comprehensive weight of factor indicators. Finally, the correlation is improved and a disaster risk assessment model with improved matter-element extension is constructed. The model can obtain the level of disaster risk. The "7·20" heavy rainstorm disaster in Zhengzhou City, Henan Province was selected as the case study object to evaluate its risk level. The results show that the model can quickly obtain risk results and is consistent with actual urban rainstorm and flood disaster risks.
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