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GIS-based flood risk assessment in suburban areas: a case study of the Fangshan District, Beijing

Author

Listed:
  • Shanshan Hu

    (Capital Normal University
    Capital Normal University)

  • Xiangjun Cheng

    (Capital Normal University
    Capital Normal University)

  • Demin Zhou

    (Capital Normal University
    Capital Normal University)

  • Hong Zhang

    (Capital Normal University
    Capital Normal University)

Abstract

Suburban areas have become rapid development zones during China’s current urbanization. Generally, these areas are also regional precipitation centers that are prone to flood disasters. Therefore, it is important to assess the flood risk in suburban areas. In this study, flood risk was defined as the product of hazard and vulnerability based on disaster risk theory. A risk assessment index system was established, and the analytic hierarchy process method was used to determine the index weight. The Fangshan District in Beijing, China, which is an example of a typical suburban area undergoing rapid urbanization, was selected for this study. Six factors were considered in relation to hazard, and three factors were considered for vulnerability. Each indicator was discretized, standardized, weighted, and then combined to obtain the final flood risk map in a geographical information system environment. The results showed that the high and very high risk zones in the Fangshan District were primarily concentrated on Yingfeng Street, Xingcheng Street, Xincheng Street, and Chengguanzhen Street. The comparison to an actual flood disaster suggested that the method was effective and practical. The method can quantitatively reflect the relative magnitude and spatial distribution patterns of flood risk in a region. The method can be applied easily to most suburban areas in China for land use planning and flood risk management.

Suggested Citation

  • Shanshan Hu & Xiangjun Cheng & Demin Zhou & Hong Zhang, 2017. "GIS-based flood risk assessment in suburban areas: a case study of the Fangshan District, Beijing," 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. 87(3), pages 1525-1543, July.
  • Handle: RePEc:spr:nathaz:v:87:y:2017:i:3:d:10.1007_s11069-017-2828-0
    DOI: 10.1007/s11069-017-2828-0
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    2. Subhankar Chakraborty & Sutapa Mukhopadhyay, 2019. "Assessing flood risk using analytical hierarchy process (AHP) and geographical information system (GIS): application in Coochbehar 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. 99(1), pages 247-274, October.
    3. Quntao Yang & Shuliang Zhang & Qiang Dai & Rui Yao, 2020. "Assessment of Community Vulnerability to Different Types of Urban Floods: A Case for Lishui City, China," Sustainability, MDPI, vol. 12(19), pages 1-19, September.
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