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Flood hazard in Hunan province of China: an economic loss analysis

Author

Listed:
  • Xin Huang
  • Hongzhuan Tan
  • Jia Zhou
  • Tubao Yang
  • Abuaku Benjamin
  • Shi Wen
  • Shuoqi Li
  • Aizhong Liu
  • Xinhua Li
  • Shuidong Fen
  • Xinli Li

Abstract

Natural and man-made disasters have been increasing and affecting millions of people throughout the world. Floods are the most common natural disasters affecting more people across the globe than all other natural or technological disasters and also are the most costly in terms of human hardship and economic loss. In order to explore the total economic loss, components of economic loss, and factors influencing economic loss during flooding, a retrospective study was carried out in year 2000 in areas that suffered floods in 1998 in Hunan province, China. A total of 10,722 families were investigated using a multistage sampling method. We found that the total economic loss to the 10,722 families investigated was US$ 8.925 million; translating into an average economic loss of US$ 832.45 per family and US$ 216.75 per person. Economic loss related to property loss, income loss, and increased medical cost accounted for 57.38%, 40.00%, and 2.62% of the total economic loss, respectively. Economic loss was significantly related to a family’s pre-flood income; duration of the flood; severity of flood; and type of flood. River floods yielded the highest economic loss and drainage problem floods yielded the lowest loss. We recommended that flood-related preventive measures should focus on the prevention of river floods and shortening the duration of floods with the view of significantly minimizing economic losses associated with floods. Copyright Springer Science+Business Media B.V. 2008

Suggested Citation

  • Xin Huang & Hongzhuan Tan & Jia Zhou & Tubao Yang & Abuaku Benjamin & Shi Wen & Shuoqi Li & Aizhong Liu & Xinhua Li & Shuidong Fen & Xinli Li, 2008. "Flood hazard in Hunan province of China: an economic loss 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. 47(1), pages 65-73, October.
    • Handle: RePEc:spr:nathaz:v:47:y:2008:i:1:p:65-73
    DOI: 10.1007/s11069-007-9197-z
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    References listed on IDEAS

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    1. Atthanan Lekuthai & Suphat Vongvisessomjai, 2001. "Intangible Flood Damage Quantification," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 15(5), pages 343-362, October.
    2. S. Jonkman, 2005. "Global Perspectives on Loss of Human Life Caused by Floods," 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. 34(2), pages 151-175, February.
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    2. Toshio Fujimi & Hirokazu Tatano, 2012. "Estimation of indirect economic loss caused by house destruction in a natural disaster," 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. 61(3), pages 1367-1388, April.
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    4. Chengjing Nie & Hairong Li & Linsheng Yang & Shaohong Wu & Yi Liu & Yongfeng Liao, 2012. "Spatial and temporal changes in flooding and the affecting factors 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. 61(2), pages 425-439, March.
    5. Van Lantz & Ryan Trenholm & Jeff Wilson & William Richards, 2012. "Assessing market and non-market costs of freshwater flooding due to climate change in the community of Fredericton, Eastern Canada," Climatic Change, Springer, vol. 110(1), pages 347-372, January.
    6. Yanfang Lyu & Yun Xiang & Dong Wang, 2023. "Evaluating Indirect Economic Losses from Flooding Using Input–Output Analysis: An Application to China’s Jiangxi Province," IJERPH, MDPI, vol. 20(5), pages 1-17, March.
    7. Umesh Chaudhary & Mohammad Aminur Rahman Shah & Bijay Man Shakya & Anil Aryal, 2024. "Flood Susceptibility and Risk Mapping of Kathmandu Valley Watershed, Nepal," Sustainability, MDPI, vol. 16(16), pages 1-28, August.
    8. Khabat Khosravi & Ebrahim Nohani & Edris Maroufinia & Hamid Reza Pourghasemi, 2016. "A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making techn," 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. 83(2), pages 947-987, September.
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