A novel integrated Urban flood risk assessment approach coupling GeoDetector-Dematel and clustering method

Urban flood risk assessment plays a crucial role in disaster prevention and mitigation. A scientifically accurate assessment and risk stratification method are of paramount importance for effective flood risk management. This study aims to propose a comprehensive urban flood risk assessment approach...

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Published in:Journal of environmental management Vol. 354; p. 120308
Main Authors: Zheng, Chuanxing, Yang, Weichao, Jiang, Xuelian, Lian, Jijian, Hu, De, Yan, Xue, Yan, Lin
Format: Journal Article
Language:English
Published: England Elsevier Ltd 01.03.2024
Subjects:
Beijing
China
decision making
Dematel
disaster preparedness
Disasters - prevention & control
environmental management
Floods
GeoDetector
K-means clustering method
methodology
Risk assessment
Risk Assessment - methods
risk assessment process
Risk Factors
risk management
Urban flood
Beijing
China
Urban flood
Dematel
K-means clustering method
Risk assessment
GeoDetector
ISSN:0301-4797, 1095-8630, 1095-8630
Online Access:Get full text
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Summary:Urban flood risk assessment plays a crucial role in disaster prevention and mitigation. A scientifically accurate assessment and risk stratification method are of paramount importance for effective flood risk management. This study aims to propose a comprehensive urban flood risk assessment approach by coupling GeoDetector-Dematel and Clustering Method to enhance the accuracy of urban flood risk evaluation. Based on simulation results from hydraulic models and existing literature, the research established a set of urban flood risk assessment indicators comprising 10 metrics across two dimensions: hazard factors and vulnerability factors, among which vulnerability factors include exposure factors, sensitivity factors, and adaptability factors. Subsequently, the research introduced the GeoDetector-Dematel method to determine indicator weights, significantly enhancing the scientific rigor and precision of weight calculation. Finally, the research employed the K-means clustering method to risk zonation, providing a more scientifically rational depiction of the spatial distribution of urban flood risks. This novel comprehensive urban flood risk assessment method was applied in the Fangzhuang area of Beijing. The results demonstrated that this integrated approach effectively enhances the accuracy of urban flood risk assessment. In conclusion, this research offers a new methodology for urban flood risk assessment and contributes to decision-making in disaster prevention and control measures. [Display omitted] •A novel integrated urban flood risk assessment approach is proposed.•A set of urban flood risk assessment index system is established.•A novel method using GeoDetector-Dematel determines index weights.•K-means method is introduced to obtain more scientific flood risk.
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ISSN:0301-4797
1095-8630
1095-8630
DOI:10.1016/j.jenvman.2024.120308