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Evaluating pluvial flood hazard for highly urbanised cities: a case study of the Pearl River Delta Region in China

Author

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  • Wei Jian

    (Nanyang Technological University)

  • Shanshan Li

    (South China University of Technology)

  • Chengguang Lai

    (South China University of Technology)

  • Zhaoli Wang

    (South China University of Technology)

  • Xiangju Cheng

    (South China University of Technology)

  • Edmond Yat-Man Lo

    (Nanyang Technological University
    Nanyang Technological University
    Sino-Singapore International Joint Research Institute (SSIJRI))

  • Tso-Chien Pan

    (Nanyang Technological University
    Nanyang Technological University
    Sino-Singapore International Joint Research Institute (SSIJRI))

Abstract

Rapid urbanisation and economic growth in developing Asian countries have exacerbated their exposure to flood hazards, particularly evident in low-lying urban cities that are currently facing increasing risks from extreme precipitations, likely made worse by the impending climate change. We present a set of simplified indices representative of the characteristics of rainfall-run-off process for evaluating pluvial flood hazard using the fuzzy comprehensive evaluation method. The highly urbanised Pearl River Delta (PRD) region in southern China is studied as an example of mapping the regional pluvial flood hazard and assessing the socio-economic exposure at risk. The developed hazard map captures the broad patterns of high flood hazard zones when compared with reported surface water flooding hotspots and the PRD riverine flood map from the 2015 Global Assessment Report. Further analysis on the regional socio-economic profiles suggests that most PRD cities are faced with large flood loss potential, with estimates of approximate 23 million people and 2.4 trillion RMB gross domestic product exposed to high flood hazard. Mega cities Guangzhou and Shenzhen top the ranking with over 20–40% of their dense urban settlements in the high flood hazard zone. This highlights the impact of human activities on the natural surface run-off process, and the need for robust flood hazard assessment for better understanding and design of holistic solutions towards more adequate flood mitigation systems for continuous urbanisation and future climate conditions.

Suggested Citation

  • Wei Jian & Shanshan Li & Chengguang Lai & Zhaoli Wang & Xiangju Cheng & Edmond Yat-Man Lo & Tso-Chien Pan, 2021. "Evaluating pluvial flood hazard for highly urbanised cities: a case study of the Pearl River Delta Region in China," 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. 105(2), pages 1691-1719, January.
    • Handle: RePEc:spr:nathaz:v:105:y:2021:i:2:d:10.1007_s11069-020-04372-3
    DOI: 10.1007/s11069-020-04372-3
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    References listed on IDEAS

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    1. Stephane Hallegatte & Colin Green & Robert J. Nicholls & Jan Corfee-Morlot, 2013. "Future flood losses in major coastal cities," Nature Climate Change, Nature, vol. 3(9), pages 802-806, September.
    2. Chengguang Lai & Xiaohong Chen & Xiaoyu Chen & Zhaoli Wang & Xushu Wu & Shiwei Zhao, 2015. "A fuzzy comprehensive evaluation model for flood risk based on the combination weight of game theory," 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. 77(2), pages 1243-1259, June.
    3. Xinhua Xue & Xingguo Yang, 2014. "Seismic liquefaction potential assessed by fuzzy comprehensive evaluation method," 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. 71(3), pages 2101-2112, April.
    4. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    5. Zhongyi Sun & Jiquan Zhang & Qi Zhang & Yue Hu & Denghua Yan & Chunyi Wang, 2014. "Integrated risk zoning of drought and waterlogging disasters based on fuzzy comprehensive evaluation in Anhui Province, China," 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. 71(3), pages 1639-1657, April.
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    1. M. Kubilay Kelesoglu & Rasim Temur & Sezar Gülbaz & Nurdan Memisoglu Apaydin & Cevza Melek Kazezyılmaz-Alhan & Ilknur Bozbey, 2023. "Site assessment and evaluation of the structural damages after the flood disaster in the Western Black Sea Basin on August 11, 2021," 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. 116(1), pages 587-618, March.
    2. Gizem Mestav Sarica & Tinger Zhu & Wei Jian & Edmond Yat-Man Lo & Tso-Chien Pan, 2021. "Spatio-temporal dynamics of flood exposure in Shenzhen from present to future," Environment and Planning B, , vol. 48(5), pages 1011-1024, June.

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