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Risk Assessment of Flood Disasters with Multi-Source Data and Its Spatial Differentiation Characteristics

Author

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  • Wenxia Jing

    (School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China
    Hubei Provincial Research Center for Crisis and Disaster Emergency Management, Wuhan University of Technology, Wuhan 430070, China)

  • Yinghua Song

    (School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China
    School of Geological Engineering, Qinghai University, Xining 810016, China)

  • Wei Lv

    (School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China
    Hubei Provincial Research Center for Crisis and Disaster Emergency Management, Wuhan University of Technology, Wuhan 430070, China)

  • Junyi Yang

    (School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China
    Hubei Provincial Research Center for Crisis and Disaster Emergency Management, Wuhan University of Technology, Wuhan 430070, China)

Abstract

The changing global climate and rapid urbanization make extreme rainstorm events frequent, and the flood disaster caused by rainstorm has become a prominent problem of urban public safety in China, which severely restricts the healthy and sustainable development of social economy. The weight calculation method of traditional risk assessment model is single and ignores the difference of multi-dimensional information space involved in risk analysis. This study constructs a flood risk assessment model by incorporating natural, social, and economic factors into an indicator system structured around four dimensions: hazard, exposure, vulnerability, and disaster prevention and mitigation capacity. A combination of the Analytic Hierarchy Process (AHP) and the entropy weight method is employed to optimize both subjective and objective weights. Taking the central urban area of Wuhan with a high flood risk as an example, based on the risk assessment values, spatial autocorrelation analysis, cluster analysis, outlier analysis, and hotspot analysis are applied to explore the spatial clustering characteristics of risks. The results show that the overall assessment level of flood hazard in central urban area of Wuhan is medium, the overall assessment level of exposure and vulnerability is low, and the overall disaster prevention and mitigation capability is medium. The overall flood risk levels in Wuchang and Jianghan are the highest, while some areas in Qingshan and Hanyang have the lowest levels. The spatial characteristics of each dimension evaluation index show obvious autocorrelation and spatial differentiation. These findings aim to provide valuable suggestions and references for reducing urban disaster risks and achieving sustainable urban development.

Suggested Citation

  • Wenxia Jing & Yinghua Song & Wei Lv & Junyi Yang, 2025. "Risk Assessment of Flood Disasters with Multi-Source Data and Its Spatial Differentiation Characteristics," Sustainability, MDPI, vol. 17(15), pages 1-19, August.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:15:p:7149-:d:1719332
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    References listed on IDEAS

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