ISSN 1003-8035 CN 11-2852/P
    Volume 34 Issue 5
    Oct.  2023
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    YANG Dehu，ZHU Jieyong，LIU Shuai，et al. Comparative analyses of susceptibility assessment for landslide disasters based on information value, weighted information value and logistic regression coupled model in Luoping County, Yunnan Province[J]. The Chinese Journal of Geological Hazard and Control，2023，34(5): 43-53. DOI: 10.16031/j.cnki.issn.1003-8035.202208030
    Citation: YANG Dehu，ZHU Jieyong，LIU Shuai，et al. Comparative analyses of susceptibility assessment for landslide disasters based on information value, weighted information value and logistic regression coupled model in Luoping County, Yunnan Province[J]. The Chinese Journal of Geological Hazard and Control，2023，34(5): 43-53. DOI: 10.16031/j.cnki.issn.1003-8035.202208030
    shu

    Comparative analyses of susceptibility assessment for landslide disasters based on information value, weighted information value and logistic regression coupled model in Luoping County, 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

    More Information
    • Received Date: August 21, 2022
    • Revised Date: October 13, 2022
    • Available Online: August 19, 2023
      Graphical Abstract
      • Abstract
    • This study focuses on landslide susceptibility assessments in Luoping County, where 9 evaluation factors, including engineering rock group, slope, slope aspect, elevation, undulation, curvature, landform type, distance from rivers, and distance from fault, were selected as the research variables. After conducting collinearity diagnosis and correlation analysis, the information value method was applied to calculate the information value for each classification level of the evaluation factors. Quantitative weights for each evaluation factor were determined using the AHP and logistic regression methods, leading to the construction and comparison of three susceptibility evaluation models: information value, and weighted information value, and information-logistic regression coupled model. The results were categorized into four grades -- none, low, medium, and high – using the GIS-based natural breakpoint method, and their accuracy was validated using ROC curves. The results show that the AUC values of the three evaluation models were 0.757, 0.723 and 0.852 respectively, with the information-logistic regression coupled model demonstrating the highest accuracy. Moreover, the model results were in good agreement with the distribution of landslide geological disaster points. The respective areas (classification ratios) for the none, low, medium, and high categories were 771.1 km2 (25.55%), 836.6 km2 (27.73%), 864.36 km2 (28.64%), and 545.94 km2 (18.08%).
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