Volume 22 Issue 3
Jun.  2014
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YU Bin, ZHU Yuan, WANG Tao, CHEN Yuanjing, ZHU Yunbo. 2014: PREDICTION MODEL FOR OCCURRENCE OF DEBRIS FLOWS IN CHANNELS WITH RUNOFF INITIATION MECHANISM. JOURNAL OF ENGINEERING GEOLOGY, 22(3): 450-455. DOI: 10.13544/j.cnki.jeg.2014.03.014
Citation: YU Bin, ZHU Yuan, WANG Tao, CHEN Yuanjing, ZHU Yunbo. 2014: PREDICTION MODEL FOR OCCURRENCE OF DEBRIS FLOWS IN CHANNELS WITH RUNOFF INITIATION MECHANISM. JOURNAL OF ENGINEERING GEOLOGY, 22(3): 450-455. DOI: 10.13544/j.cnki.jeg.2014.03.014
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PREDICTION MODEL FOR OCCURRENCE OF DEBRIS FLOWS IN CHANNELS WITH RUNOFF INITIATION MECHANISM

  • State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059

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  • Received Date: March 16, 2014
  • Revised Date: May 04, 2014
    Graphical Abstract
    • Abstract
  • Many debris flows were triggered in and around the Dayi area of the Guizhou province,China during a rainstorm in 2011. High-intensity short duration rainfall was the main triggering factor for these gully type debris flows. They are probably triggered by a runoff induced mechanism. A revised prediction model is introduced for this kind of gully type debris flows. The factors are related to the topography,geology and hydrology(rainfall),and the model is applied to the Wangmo river catchment. Regarding the geological factor,thesoft lithology and loose sediments in the channel are added to the list of the average firmness coefficient for the lithology. Also the chemical weathering is taken into account for the revised geological factor. Concerning the hydrological factor,a coefficient of variation of rainfall is introduced for the normalization of the rainfall factor. The prediction model for debris flows proposed in this paper,delivers three classes of the probability of debris flow occurrence. The model is successfully validated in debris flow gullies with the same initiation mechanism in other areas of southwest China. The generic character of the model is explained by the fact that its factors are based on the initiation mechanisms and the statistical analyses of an unique variety of local factors. The result provides a new way to predict the occurrence of debris flows initiated by a runoff induced mechanism.
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    • References (1)
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