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Assessment of Urban Flood Vulnerability Using the Integrated Framework and Process Analysis: A Case from Nanjing, China

Author

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  • Peng Wang

    (Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212013, China)

  • Yifan Zhu

    (Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212013, China)

  • Ping Yu

    (Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212013, China)

Abstract

Flooding is a serious challenge that increasingly affects residents as well as policymakers. Many studies have noted that decreasing the urban flood vulnerability (UFV) is an indispensable strategy for reducing flood risks; however, some studies have several pertinent assessment limitations. The objective of this study is to assess the UFV of the Xuanwu-Qinhuai-Jianye-Gulou-Yuhua (XQJGY) region from 2012 to 2018 by integrating various indicators into a composite index. This study uses the environment for visualizing images (ENVI) and the geographic information system (GIS) to extract indicators that have geographic attributes for the assessment of UFV and the process analysis method is then used to explore the relationship between these indicators. The results indicated that: (1) The UFV of Xuanwu, Qinhuai, and Gulou decreased from 2012 to 2018 and the UFV of Jianye and Gulou increased from 2012 to 2015 and decreased from 2015 to 2018. (2) The vegetation coverage, precipitation during the flood season, population density, and highway density significantly contributed to the UFV. (3) There also exist transformation pathways between the indicators that led to vulnerability in five districts. This study provides a theoretical basis for the government to manage floods.

Suggested Citation

  • Peng Wang & Yifan Zhu & Ping Yu, 2022. "Assessment of Urban Flood Vulnerability Using the Integrated Framework and Process Analysis: A Case from Nanjing, China," IJERPH, MDPI, vol. 19(24), pages 1-19, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16595-:d:999363
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    References listed on IDEAS

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    Cited by:

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    4. Raymond Seyeram Nkonu & Mary Antwi & Mark Amo-Boateng & Benjamin Wullobayi Dekongmen, 2023. "GIS-based multi-criteria analytical hierarchy process modelling for urban flood vulnerability analysis, Accra Metropolis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(2), pages 1541-1568, June.

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