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Flood Disaster Risk Assessment of Rural Housings — A Case Study of Kouqian Town in China

Author

Listed:
  • Qi Zhang

    (School of Environment, Northeast Normal University, Changchun 130024, China)

  • Jiquan Zhang

    (School of Environment, Northeast Normal University, Changchun 130024, China)

  • Liupeng Jiang

    (School of Environment, Northeast Normal University, Changchun 130024, China)

  • Xingpeng Liu

    (School of Environment, Northeast Normal University, Changchun 130024, China)

  • Zhijun Tong

    (School of Environment, Northeast Normal University, Changchun 130024, China)

Abstract

Floods are a devastating kind of natural disaster. About half of the population in China lives in rural areas. Therefore, it is necessary to assess the flood disaster risk of rural housings. The results are valuable for guiding the rescue and relief goods layout. In this study, we take the severe flood disaster that happened at Kouqian Town in Jilin, China in 2010 as an example to build an risk assessment system for flood disaster on rural housings. Based on the theory of natural disaster risk formation and “3S” technology (remote sensing, geography information systems and global positioning systems), taking the rural housing as the bearing body, we assess the flood disaster risk from three aspects: hazard, exposure and vulnerability. The hazard presented as the flood submerging range and depth. The exposure presented as the values of the housing and the property in it. The vulnerability presented as the relationship between the losses caused by flood and flood depth. We validate the model by the field survey after the flood disaster. The risk assessment results highly coincide with the field survey losses. This model can be used to assess the risk of other flood events in this area.

Suggested Citation

  • Qi Zhang & Jiquan Zhang & Liupeng Jiang & Xingpeng Liu & Zhijun Tong, 2014. "Flood Disaster Risk Assessment of Rural Housings — A Case Study of Kouqian Town in China," IJERPH, MDPI, vol. 11(4), pages 1-16, April.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:4:p:3787-3802:d:34746
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    References listed on IDEAS

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    1. Peng Chen & Jiquan Zhang & Xinyu Jiang & Xingpeng Liu & Yulong Bao & Yingyue Sun, 2012. "Scenario Simulation-Based Assessment of Trip Difficulty for Urban Residents under Rainstorm Waterlogging," IJERPH, MDPI, vol. 9(6), pages 1-18, May.
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    Cited by:

    1. Nanda Khoirunisa & Cheng-Yu Ku & Chih-Yu Liu, 2021. "A GIS-Based Artificial Neural Network Model for Flood Susceptibility Assessment," IJERPH, MDPI, vol. 18(3), pages 1-20, January.
    2. 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.
    3. Yongfang Wang & Jiquan Zhang & Enliang Guo & Zhongyi Sun, 2015. "Fuzzy Comprehensive Evaluation-Based Disaster Risk Assessment of Desertification in Horqin Sand Land, China," IJERPH, MDPI, vol. 12(2), pages 1-23, February.

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