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Flood Risk Assessment under Land Use and Climate Change in Wuhan City of the Yangtze River Basin, China

Author

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  • Zhihui Li

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Keyu Song

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Lu Peng

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Frequently occurring flood disasters caused by extreme climate and urbanization processes have become the most common natural hazard and pose a great threat to human society. Therefore, urban flood risk assessment is of great significance for disaster mitigation and prevention. In this paper, the analytic hierarchy process (AHP) was applied to quantify the spatiotemporal variations in flood risk in Wuhan during 2000–2018. A comprehensive flood risk assessment index system was constructed from the hazard, sensitivity, and vulnerability components with seven indices. The results showed that the central urban area, especially the area in the west bank of the Yangtze river, had high risk due to its high flood sensitivity that was determined by land use type and high vulnerability with dense population and per unit GDP. Specifically, the Jianghan, Qiaokou, Jiangan, and Wuchang districts had the highest flood risk, more than 60% of whose area was in medium or above-medium risk regions. During 2000–2018, the flood risk overall showed an increasing trend, with Hongshan district increasing the most, and the year of 2010 was identified as a turning point for rapid risk increase. In addition, the comparison between the risk maps and actual historical inundation point records showed good agreement, indicating that the assessment framework and method proposed in this study can be useful to assist flood mitigation and management, and relevant policy recommendations were proposed based on the assessment results.

Suggested Citation

  • Zhihui Li & Keyu Song & Lu Peng, 2021. "Flood Risk Assessment under Land Use and Climate Change in Wuhan City of the Yangtze River Basin, China," Land, MDPI, vol. 10(8), pages 1-16, August.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:8:p:878-:d:618895
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    References listed on IDEAS

    as
    1. Avashia, Vidhee & Garg, Amit, 2020. "Implications of land use transitions and climate change on local flooding in urban areas: An assessment of 42 Indian cities," Land Use Policy, Elsevier, vol. 95(C).
    2. Abhishek Ghosh & Shyamal Kumar Kar, 2018. "Application of analytical hierarchy process (AHP) for flood risk assessment: a case study in Malda district of West Bengal, India," 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. 94(1), pages 349-368, October.
    3. Hai-Min Lyu & Ye-Shuang Xu & Wen-Chieh Cheng & Arul Arulrajah, 2018. "Flooding Hazards across Southern China and Prospective Sustainability Measures," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    4. Jie Liu & Shao-yu Wang & Dong-mei Li, 2014. "The Analysis of the Impact of Land-Use Changes on Flood Exposure of Wuhan in Yangtze River Basin, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(9), pages 2507-2522, July.
    5. Abhishek Ghosh & Shyamal Kumar Kar, 2018. "Correction to: Application of analytical hierarchy process (AHP) for flood risk assessment: a case study in Malda district of West Bengal, India," 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. 94(1), pages 369-369, October.
    6. Nengcheng Chen & Shuang Yao & Chao Wang & Wenying Du, 2019. "A Method for Urban Flood Risk Assessment and Zoning Considering Road Environments and Terrain," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
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    Cited by:

    1. Meiyan Gao & Zongmin Wang & Haibo Yang, 2022. "Review of Urban Flood Resilience: Insights from Scientometric and Systematic Analysis," IJERPH, MDPI, vol. 19(14), pages 1-19, July.
    2. Chaowei Xu & Hao Fu & Jiashuai Yang & Lingyue Wang, 2022. "Assessment of the Relationship between Land Use and Flood Risk Based on a Coupled Hydrological–Hydraulic Model: A Case Study of Zhaojue River Basin in Southwestern China," Land, MDPI, vol. 11(8), pages 1-24, July.

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