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An assessment of multidimensional flood vulnerability at the provincial scale in China based on the DEA method

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  • Dapeng Huang
  • Renhe Zhang
  • Zhiguo Huo
  • Fei Mao
  • Youhao E
  • Wei Zheng

Abstract

China suffers frequent and severe floods. A lot of studies have been done in the field of flood disaster, including flood vulnerability assessment. This paper develops assessment models of multidimensional flood vulnerability based on the data envelopment analysis method and identifies multidimensional flood vulnerability—population, death, agriculture and economy—at the provincial scale in China using flood damage data and socioeconomic statistical data from 2001 to 2010. Based on the characteristics of multidimensional flood vulnerability of each province, some suggestions for flood prevention and mitigation are suggested. The assessment models of multidimensional flood vulnerability are simple and can be used for vulnerability analysis of natural disaster at regional or national levels. The assessment of multidimensional flood vulnerability can provide multifaceted information that contributes to a deeper understanding of the flood vulnerability and provides a scientific base for the policy making and implementation of flood prevention and mitigation designs. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Dapeng Huang & Renhe Zhang & Zhiguo Huo & Fei Mao & Youhao E & Wei Zheng, 2012. "An assessment of multidimensional flood vulnerability at the provincial scale in China based on the DEA 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. 64(2), pages 1575-1586, November.
    • Handle: RePEc:spr:nathaz:v:64:y:2012:i:2:p:1575-1586
    DOI: 10.1007/s11069-012-0323-1
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    Cited by:

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    2. Xiao-Chen Yuan & Bao-Jun Tang & Yi-Ming Wei & Xiao-Jie Liang & Hao Yu & Ju-Liang Jin, 2015. "China’s regional drought risk under climate change: a two-stage process assessment approach," 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. 76(1), pages 667-684, March.
    3. Mingze Li & Jun Lv & Xin Chen & Nan Jiang, 2015. "Provincial evaluation of vulnerability to geological disaster in China and its influencing factors: a three-stage DEA-based analysis," 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. 79(3), pages 1649-1662, December.
    4. Li Liao & Jianzhong Zhou & Qiang Zou, 2013. "Weighted fuzzy kernel-clustering algorithm with adaptive differential evolution and its application on flood classification," 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. 69(1), pages 279-293, October.
    5. Bahaa Elboshy & Shinjiro Kanae & Mona Gamaleldin & Hany Ayad & Toshihiro Osaragi & Waleed Elbarki, 2019. "A framework for pluvial flood risk assessment in Alexandria considering the coping capacity," Environment Systems and Decisions, Springer, vol. 39(1), pages 77-94, March.
    6. Yi Ge & Wen Dou & Ning Liu, 2017. "Planning Resilient and Sustainable Cities: Identifying and Targeting Social Vulnerability to Climate Change," Sustainability, MDPI, vol. 9(8), pages 1-19, August.
    7. Sitotaw Haile Erena & Hailu Worku, 2019. "Urban flood vulnerability assessments: the case of Dire Dawa city, Ethiopia," 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. 97(2), pages 495-516, June.
    8. Yang Zhou & Ning Li & Wenxiang Wu & Jidong Wu & Peijun Shi, 2014. "Local Spatial and Temporal Factors Influencing Population and Societal Vulnerability to Natural Disasters," Risk Analysis, John Wiley & Sons, vol. 34(4), pages 614-639, April.
    9. Peng Wang & Yifan Zhu & Ping Yu, 2022. "Assessment of Urban Flood Vulnerability Using the Integrated Framework and Process Analysis: A Case from Nanjing, China," IJERPH, MDPI, vol. 19(24), pages 1-19, December.
    10. Pilar Baquedano Julià & Tiago Miguel Ferreira, 2021. "From single- to multi-hazard vulnerability and risk in Historic Urban Areas: a literature review," 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. 108(1), pages 93-128, August.
    11. Tugkan Tanir & Andre de Souza de Lima & Gustavo A. Coelho & Sukru Uzun & Felicio Cassalho & Celso M. Ferreira, 2021. "Assessing the spatiotemporal socioeconomic flood vulnerability of agricultural communities in the Potomac River Watershed," 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. 108(1), pages 225-251, August.
    12. Zahra Ebrahimi Gatgash & Seyed Hamidreza Sadeghi, 2023. "Prioritization-based management of the watershed using health assessment analysis at sub-watershed scale," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 9673-9702, September.
    13. Aishwarya Narendr & S. Vinay & Bharath Haridas Aithal & Sutapa Das, 2022. "Multi-dimensional parametric coastal flood risk assessment at a regional scale using GIS," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9569-9597, July.

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