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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| Veröffentlicht in: | Journal of environmental management Jg. 354; S. 120308 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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Elsevier Ltd
01.03.2024
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| ISSN: | 0301-4797, 1095-8630, 1095-8630 |
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| Abstract | 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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| AbstractList | 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. 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.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. 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. |
| ArticleNumber | 120308 |
| Author | Hu, De Yan, Lin Jiang, Xuelian Zheng, Chuanxing Lian, Jijian Yan, Xue Yang, Weichao |
| Author_xml | – sequence: 1 givenname: Chuanxing surname: Zheng fullname: Zheng, Chuanxing organization: Tianjin Key Laboratory of Soft Soil Characteristics & Engineering Environment, Tianjin Chengjian University, Tianjin, 300384, China – sequence: 2 givenname: Weichao surname: Yang fullname: Yang, Weichao email: yangweichao@tju.edu.cn organization: Tianjin Key Laboratory of Soft Soil Characteristics & Engineering Environment, Tianjin Chengjian University, Tianjin, 300384, China – sequence: 3 givenname: Xuelian surname: Jiang fullname: Jiang, Xuelian organization: Tianjin Key Laboratory of Soft Soil Characteristics & Engineering Environment, Tianjin Chengjian University, Tianjin, 300384, China – sequence: 4 givenname: Jijian surname: Lian fullname: Lian, Jijian organization: State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, 300350, China – sequence: 5 givenname: De surname: Hu fullname: Hu, De organization: CCCC Tianjin Port Engineering Institute Co., Ltd., Key Laboratory of Coastal Engineering Hydrodynamics, CCCC, Tianjin, China – sequence: 6 givenname: Xue surname: Yan fullname: Yan, Xue organization: Tianjin Key Laboratory of Soft Soil Characteristics & Engineering Environment, Tianjin Chengjian University, Tianjin, 300384, China – sequence: 7 givenname: Lin surname: Yan fullname: Yan, Lin organization: Guangdong Aike Environmental Technology Co., LTD, Zhongshan, 528400, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38377751$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1016/j.gloenvcha.2010.12.005 10.1080/10106049.2021.2002422 10.3390/buildings11100429 10.1111/jfr3.12003 10.1016/j.scitotenv.2018.02.271 10.1016/j.scs.2021.102850 10.1038/ncomms13670 10.1016/j.regsus.2023.08.004 10.1007/s11069-018-3392-y 10.5194/hess-18-5399-2014 |
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| Keywords | Urban flood Dematel K-means clustering method Risk assessment GeoDetector |
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| SubjectTerms | 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 |
| Title | A novel integrated Urban flood risk assessment approach coupling GeoDetector-Dematel and clustering method |
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