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2022 Vol. 33, No. 5
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Article navigation > The Chinese Journal of Geological Hazard and Control > 2022 > 33(5): 119-127
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SUN Bin, ZHU Chuanbing, KANG Xiaobo, YE Lei, LIU Yi. Susceptibility assessment of debris flows based on information model in Dongchuan, Yunnan Province[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(5): 119-127. doi: 10.16031/j.cnki.issn.1003-8035.202204003
Citation: SUN Bin, ZHU Chuanbing, KANG Xiaobo, YE Lei, LIU Yi. Susceptibility assessment of debris flows based on information model in Dongchuan, Yunnan Province[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(5): 119-127. doi: 10.16031/j.cnki.issn.1003-8035.202204003
shu

Susceptibility assessment of debris flows based on information model in Dongchuan, Yunnan Province

  • 1.

    Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, Yunnan　650093, China

  • 2.

    Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area, MNR, Kunming, Yunnan　650093, China

  • 3.

    Yunnan Geological Environment Monitoring Institute, Kunming, Yunnan　650216, China

  • 4.

    Yunnan Dianxiang Mining Industry Consultants Co. Ltd., Kunming, Yunnan　650217, China

More Information
Received Date:  04 April 2022
Revised Date:  07 May 2022
Accepted Date:  11 May 2022
Publish Date:  25 October 2022
    Abstract

  • In this paper, taking debris flow in Dongchuan as the research object, nine influence factors are chosen as the selected indices, including the elevation, slope, aspect, relief, curvature, engineering rock group, distance to faults, distance to faults rivers, and land use types, sample data from 144 debris flows in the study area are used to establish the Dongchuan debris flow susceptibility assessment system. Based on the information model and GIS platform, the information vaule of each factor classification is calculated, and the natural discontinuity method is used to divide the debris flow susceptibility into 4 levels: extremely high-prone areas, high-prone areas, medium-prone areas, and low-prone areas in the study area. The results show that the number of debris flow disasters in the extremely high and high-risk areas in the study area accounted for 94.44%, and the AUC value was 0.876, indicating that the selection of evaluation indicators was reasonable, and the information model was suitable for the evaluation of debris flow susceptibility in Dongchuan.

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