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Intelligent Prediction Method for Waterlogging Risk Based on AI and Numerical Model
 
 
Article

Integrated Risk Assessment of Waterlogging in Guangzhou Based on Runoff Modeling, AHP, GIS and Scenario Analysis

by 1,2, 1,2, 1,2,*, 3, 1,2 and 1,2
1
Changjiang River Scientifific Research Institute of Changjiang Water Resources Commission, Wuhan 430010, China
2
Hubei Provincial Key Laboratory of Basin Water Resources and Ecological Environment, Wuhan 430010, China
3
Anhui Provincial Traffic Survey and Design Institute Co., Ltd., Hefei 230011, China
*
Author to whom correspondence should be addressed.
Academic Editor: Wei Sun
Water 2022, 14(18), 2899; https://doi.org/10.3390/w14182899
Received: 26 July 2022 / Revised: 14 September 2022 / Accepted: 14 September 2022 / Published: 16 September 2022
(This article belongs to the Special Issue A Safer Future—Prediction of Water-Related Disasters)
Among the various natural disasters encountered by cities, rainstorm waterlogging has become a serious disaster, affecting the sustainable development of cities. Taking Guangzhou as the research object, based on disaster system theory and risk triangle theory, the evaluation framework “risk of hazard causing factors—sensitivity of disaster environment—vulnerability of hazard bearing body” was selected to construct the waterlogging risk assessment model of Guangzhou. The weighted comprehensive evaluation method (AHP) was used to determine the index weight, and the rainfall runoff inundation range under different rainstorm scenarios was deduced through a Soil Conservation Service (SCS) runoff generation model and GIS local equal volume passive inundation simulation. The results show that when the precipitation in 2 h is less than 100 mm, the inundation range increases by 3.4 km2 for every 10 mm increase in precipitation; When the precipitation in 2 h is greater than 100 mm, the inundation range will increase by 18 km2 for every 10 mm increase in precipitation. The total area of medium and high flood risk in Guangzhou is 441.3 km2, mainly concentrated in Yuexiu District, Liwan District, Haizhu District and Tianhe District. View Full-Text
Keywords: waterlogging risk assessment; SCS runoff generation model; volumetric method; Guangzhou waterlogging risk assessment; SCS runoff generation model; volumetric method; Guangzhou
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MDPI and ACS Style

Xie, S.; Liu, W.; Yuan, Z.; Zhang, H.; Lin, H.; Wang, Y. Integrated Risk Assessment of Waterlogging in Guangzhou Based on Runoff Modeling, AHP, GIS and Scenario Analysis. Water 2022, 14, 2899. https://doi.org/10.3390/w14182899

AMA Style

Xie S, Liu W, Yuan Z, Zhang H, Lin H, Wang Y. Integrated Risk Assessment of Waterlogging in Guangzhou Based on Runoff Modeling, AHP, GIS and Scenario Analysis. Water. 2022; 14(18):2899. https://doi.org/10.3390/w14182899

Chicago/Turabian Style

Xie, Shuai, Wan Liu, Zhe Yuan, Hongyun Zhang, Hang Lin, and Yongqiang Wang. 2022. "Integrated Risk Assessment of Waterlogging in Guangzhou Based on Runoff Modeling, AHP, GIS and Scenario Analysis" Water 14, no. 18: 2899. https://doi.org/10.3390/w14182899

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