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Debris flow susceptibility assessment by GIS and information value model in a large-scale region, Sichuan Province (China)

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Listed:
  • Wenbo Xu
  • Wenjuan Yu
  • Shaocai Jing
  • Guoping Zhang
  • Jianxi Huang

Abstract

Debris flow susceptibility assessment is the premise of risk assessment. In this paper, Sichuan Province is chosen as a study area, where debris flow disasters happen frequently. Information value model is applied to calculate the information values of seven environmental factors, namely elevation, slope, aspect, flow accumulation, vegetation coverage, soil type and land-use type. Geographic information system technology is used to analyze the comprehensive information values so as to determine the debris flow susceptibility. The results show that the northeast, the central and the south of Sichuan are the most hazardous regions, which display a zonal distribution feature from the southeast to the south. From the validation results, 7.53 % of the total area suffers from high susceptibility and 19.97 % suffers from very high susceptibility. However, 80 % of the debris flows are concentrated in two regions. The actual occurrence ratios of debris flows of the high-susceptibility and very high-susceptibility areas are 4.95 and 2.14, respectively. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Wenbo Xu & Wenjuan Yu & Shaocai Jing & Guoping Zhang & Jianxi Huang, 2013. "Debris flow susceptibility assessment by GIS and information value model in a large-scale region, Sichuan Province (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. 65(3), pages 1379-1392, February.
    • Handle: RePEc:spr:nathaz:v:65:y:2013:i:3:p:1379-1392
    DOI: 10.1007/s11069-012-0414-z
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    References listed on IDEAS

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    1. Wenbo Xu & Wenjuan Yu & Guoping Zhang, 2012. "Prediction method of debris flow by logistic model with two types of rainfall: a case study in the Sichuan, 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. 62(2), pages 733-744, June.
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    Citations

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    Cited by:

    1. Rajesh Kumar Dash & Philips Omowumi Falae & Debi Prasanna Kanungo, 2022. "Debris flow susceptibility zonation using statistical models in parts of Northwest Indian Himalayas—implementation, validation, and comparative evaluation," 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. 111(2), pages 2011-2058, March.
    2. Shengwu Qin & Shuangshuang Qiao & Jingyu Yao & Lingshuai Zhang & Xiaowei Liu & Xu Guo & Yang Chen & Jingbo Sun, 2022. "Establishing a GIS-based evaluation method considering spatial heterogeneity for debris flow susceptibility mapping at the regional scale," 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. 114(3), pages 2709-2738, December.
    3. Wenbo Xu & Wenjuan Yu & Shaocai Jing & Zhaoxian Wang & Guoping Zhang & Jianxi Huang, 2013. "Debris flow prediction models based on environmental factors and susceptible subarea classification in Sichuan, 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. 67(2), pages 869-878, June.
    4. Qianqian Wang & Dongchuan Wang & Yong Huang & Zhiheng Wang & Lihui Zhang & Qiaozhen Guo & Wei Chen & Wengang Chen & Mengqin Sang, 2015. "Landslide Susceptibility Mapping Based on Selected Optimal Combination of Landslide Predisposing Factors in a Large Catchment," Sustainability, MDPI, vol. 7(12), pages 1-17, December.
    5. D. W. Park & S. R. Lee & N. N. Vasu & S. H. Kang & J. Y. Park, 2016. "Coupled model for simulation of landslides and debris flows at local scale," 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. 81(3), pages 1653-1682, April.

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