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A similarity-based quantitative model for assessing regional debris-flow hazard

Author

Listed:
  • Guangxu Liu
  • Erfu Dai
  • Quansheng Ge
  • Wenxiang Wu
  • Xinchuang Xu

Abstract

Debris flows belong to sudden disasters which are difficult to forecast. Thus, a detailed and coherent hazard assessment seems a necessary step to prevent or relieve such disasters and mitigate the risk effectively. Previous researchers have proposed several methods, such as regression analysis, fuzzy mathematics, and artificial neural networks for debris-flow hazard assessment. However, these methods need further improvements to eliminate the high relativity existing in their results. The current study reported a similarity-based debris-flow hazard assessment model to determine hazard levels of debris flow in regions, with steps like determining hazard-level-type regions, selecting environmental factors and calculating the similarities between the assessment-pending regions and assessed hazard-level-type ones. This methodology was then employed to assess the regional debris hazard of Yunnan Province in China as a case study and was verified via comparison with field surveys. As the results indicate, the proposed similarity-based debris-flow risk assessment model is simple and efficient and can improve the comparability and reliability of the assessment to some degree. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Guangxu Liu & Erfu Dai & Quansheng Ge & Wenxiang Wu & Xinchuang Xu, 2013. "A similarity-based quantitative model for assessing regional debris-flow hazard," 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 295-310, October.
    • Handle: RePEc:spr:nathaz:v:69:y:2013:i:1:p:295-310
    DOI: 10.1007/s11069-013-0709-8
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    References listed on IDEAS

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    1. Jeng-Wen Lin & Cheng-Wu Chen & Cheng-Yi Peng, 2012. "Potential hazard analysis and risk assessment of debris flow by fuzzy modeling," 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(1), pages 273-282, October.
    2. Francesco Gentile & Tiziana Bisantino & Giuliana Trisorio Liuzzi, 2008. "Debris-flow risk analysis in south Gargano watersheds (Southern-Italy)," 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. 44(1), pages 1-17, January.
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    Cited by:

    1. Cencen Niu & Qing Wang & Jianping Chen & Wen Zhang & Liming Xu & Ke Wang, 2015. "Hazard Assessment of Debris Flows in the Reservoir Region of Wudongde Hydropower Station in China," Sustainability, MDPI, vol. 7(11), pages 1-20, November.
    2. Guangxu Liu & Erfu Dai & Xinchuang Xu & Wenxiang Wu & Aicun Xiang, 2018. "Quantitative Assessment of Regional Debris-Flow Risk: A Case Study in Southwest China," Sustainability, MDPI, vol. 10(7), pages 1-21, June.

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