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Comparison of Two Empirical Models for Gully-Specific Debris Flow Hazard Assessment in Xiaojiang Valley of Southwestern China

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  • Xilin Liu
  • Dan Zhang

Abstract

Two sets of empirical models for debris flow hazard assessment on gully-specific scale are presented herein, which may be the first step toward developing a formalized procedure for debris flow hazard assessment. Emphasis is put on comparison of the two models between Multiple Factor Composite Assessment Model (MFCAM) and Multivariate Stepwise Regression Assessment Model (MSRAM). From the aspects of data acquisition and model construct, this paper shows the advantages and limitations of two models. From the assessment results, two models are still of uncertainty. Fundamental researches of debris flow hazard, especially the relationship between debris flow magnitude and its frequency of occurrence should be given a priority in future study. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • Xilin Liu & Dan Zhang, 2004. "Comparison of Two Empirical Models for Gully-Specific Debris Flow Hazard Assessment in Xiaojiang Valley of Southwestern 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. 31(1), pages 157-175, January.
    • Handle: RePEc:spr:nathaz:v:31:y:2004:i:1:p:157-175
    DOI: 10.1023/B:NHAZ.0000020274.54664.a0
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    References listed on IDEAS

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    1. A. Carrara & F. Guzzetti & M. Cardinali & P. Reichenbach, 1999. "Use of GIS Technology in the Prediction and Monitoring of Landslide 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. 20(2), pages 117-135, November.
    2. C. Van Westen & A. Seijmonsbergen & F. Mantovani, 1999. "Comparing Landslide Hazard Maps," 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. 20(2), pages 137-158, November.
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    Cited by:

    1. Mengya Li & Jun Wang & Xiaojing Sun, 2016. "Scenario-based risk framework selection and assessment model development for natural disasters: a case study of typhoon storm surges," 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. 80(3), pages 2037-2054, February.
    2. Mengya Li & Jun Wang & Xiaojing Sun, 2016. "Scenario-based risk framework selection and assessment model development for natural disasters: a case study of typhoon storm surges," 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. 80(3), pages 2037-2054, February.
    3. Der-Guey Lin & Sen-Yen Hsu & Kuang-Tsung Chang, 2009. "Numerical simulations of flow motion and deposition characteristics of granular debris flows," 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. 50(3), pages 623-650, September.

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