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A Framework for Flood Risk Analysis and Benefit Assessment of Flood Control Measures in Urban Areas

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  • Chaochao Li

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
    College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China)

  • Xiaotao Cheng

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Na Li

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Xiaohe Du

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Qian Yu

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Guangyuan Kan

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

Abstract

Flood risk analysis is more complex in urban areas than that in rural areas because of their closely packed buildings, different kinds of land uses, and large number of flood control works and drainage systems. The purpose of this paper is to propose a practical framework for flood risk analysis and benefit assessment of flood control measures in urban areas. Based on the concept of disaster risk triangle (hazard, vulnerability and exposure), a comprehensive analysis method and a general procedure were proposed for urban flood risk analysis. Urban Flood Simulation Model (UFSM) and Urban Flood Damage Assessment Model (UFDAM) were integrated to estimate the flood risk in the Pudong flood protection area (Shanghai, China). S-shaped functions were adopted to represent flood return period and damage (R-D) curves. The study results show that flood control works could significantly reduce the flood risk within the 66-year flood return period and the flood risk was reduced by 15.59%. However, the flood risk was only reduced by 7.06% when the flood return period exceeded 66-years. Hence, it is difficult to meet the increasing demands for flood control solely relying on structural measures. The R-D function is suitable to describe the changes of flood control capacity. This frame work can assess the flood risk reduction due to flood control measures, and provide crucial information for strategy development and planning adaptation.

Suggested Citation

  • Chaochao Li & Xiaotao Cheng & Na Li & Xiaohe Du & Qian Yu & Guangyuan Kan, 2016. "A Framework for Flood Risk Analysis and Benefit Assessment of Flood Control Measures in Urban Areas," IJERPH, MDPI, vol. 13(8), pages 1-18, August.
  • Handle: RePEc:gam:jijerp:v:13:y:2016:i:8:p:787-:d:75420
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    References listed on IDEAS

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    1. Honghai Qi & Pu Qi & M. Altinakar, 2013. "GIS-Based Spatial Monte Carlo Analysis for Integrated Flood Management with Two Dimensional Flood Simulation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(10), pages 3631-3645, August.
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    3. Minjian Chen & Jing Ma & Yajie Hu & Fei Zhou & Jinxiu Li & Long Yan, 2015. "Is the S-shaped curve a general law? An application to evaluate the damage resulting from water-induced disasters," 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. 78(1), pages 497-515, August.
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    Cited by:

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    2. Philip Antwi-Agyei & Frank Baffour-Ata & Sarah Koomson & Nana Kwame Kyeretwie & Nana Barimah Nti & Afia Oforiwaa Owusu & Fukaiha Abdul Razak, 2023. "Drivers and coping mechanisms for floods: experiences of residents in urban Kumasi, Ghana," 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(2), pages 2477-2500, March.
    3. Xiaoliang Xie & Linglu Huang & Stephen M. Marson & Guo Wei, 2023. "Emergency response process for sudden rainstorm and flooding: scenario deduction and Bayesian network analysis using evidence theory and knowledge meta-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. 117(3), pages 3307-3329, July.
    4. Hongshi Xu & Kui Xu & Lingling Bin & Jijian Lian & Chao Ma, 2018. "Joint Risk of Rainfall and Storm Surges during Typhoons in a Coastal City of Haidian Island, China," IJERPH, MDPI, vol. 15(7), pages 1-20, June.
    5. 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.
    6. Cailin Li & Na Sun & Yihui Lu & Baoyun Guo & Yue Wang & Xiaokai Sun & Yukai Yao, 2022. "Review on Urban Flood Risk Assessment," Sustainability, MDPI, vol. 15(1), pages 1-24, December.

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