Simulation and risk assessment of urban flooding under realistic 3D data

doi:10.16265/j.cnki.issn1003-3033.2025.05.0622

Abstract

Abstract:

In order to enhance the capacity of urban flood prevention and disaster reduction, taking Zhenba County as an example, this paper explores the coupled disaster formation process and risk assessment methods of flood disasters. By analyzing the rainfall data and flood disaster statistics in recent years, the frequent occurrence and severity of flood disasters in this area as well as the huge losses they have caused to the economy and society were revealed. High-precision terrain data was obtained through unmanned aerial vehicle technology and combined with the SWAT for flood simulation, providing accurate disaster data support. A multi-factor risk assessment matrix was constructed, and the comprehensive flood risk index was obtained through normalization processing. The risk assessment results show that 14 areas with grade IV risks are ide.pngied, and the simulation results of the model are highly consistent with the actual situation. The research results indicate that the constructed coupled disaster formation simulation and risk assessment method can accurately ide.pngy high-risk areas. Effective countermeasures are proposed for high-risk areas, including improving flood control capacity, strengthening monitoring and early warning, conducting disaster prevention and education, and strengthening land planning and management.

Key words: 3D reality modeling, urban flooding, risk assessment, unmanned aerial vehicle, soil and water assessment tool(SWAT)

CLC Number:

X915.5

WU Lizhou, LI Hua, ZHANG Peng, QIAN Hongyan, KANG Fei, TAN Guangli. Simulation and risk assessment of urban flooding under realistic 3D data[J]. China Safety Science Journal, 2025, 35(5): 237-245.

Figures/Tables 9

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年份	暴雨天气/次	暴雨天数	洪涝灾害上报次数	全年洪涝灾害直接经济损失/万元
2021	15	29	10	166 145.109
2022	8	14	6	54 716.485
2023	12	16	6	94 936.860

风险因素类型	34A	48B
地表径流量/mm	17.18	17.175
土壤含水量/mm	127.845	127.832
流失总泥沙量/(t·ha^-1)	0.09	0.086
风险因素类型	34A	48B
河道总水量/(m³·s^-1)	347.431	348.765
河段泥沙量/t	9.945	10.82
河段泥沙质量浓度/(mg·kg^-1)	11.72	13.99
风险等级	Ⅳ	Ⅳ

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