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2022 Vol. 55, No. 2
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MENG Xiaojie, ZHANG Xinshe, ZENG Qingming, WANG Dong. 2022. The Susceptibility Evaluation of Loess Landslide Based on Weighted Information Value Method—Taking 1: 50 000 Map of Maiji District of Tianshui City As an Example. Northwestern Geology, 55(2): 249-259. doi: 10.19751/j.cnki.61-1149/p.2022.02.022
Citation: MENG Xiaojie, ZHANG Xinshe, ZENG Qingming, WANG Dong. 2022. The Susceptibility Evaluation of Loess Landslide Based on Weighted Information Value Method—Taking 1: 50 000 Map of Maiji District of Tianshui City As an Example. Northwestern Geology, 55(2): 249-259. doi: 10.19751/j.cnki.61-1149/p.2022.02.022
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The Susceptibility Evaluation of Loess Landslide Based on Weighted Information Value Method—Taking 1: 50 000 Map of Maiji District of Tianshui City As an Example

  • Key Laboratory for Geo-hazards in Loess Area, MLR, Xi'an Center of Geological Survey, China Geologic Survey, Xi'an 710054, Shaanxi, China

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Received Date:  07 April 2021
Revised Date:  10 November 2021
    Abstract
  • Based on the field work of 1:50,000 geological hazard survey, the elevation,slope,engineering geological rock group, normalized difference vegetative index, distance to faults, distance to water system and distance to roads are selected as evaluation factors in the study area, and the weighted information value model is used to evaluate the susceptibility based on ArcGIS platform according to grid division. According to the evaluation results, the study area could be divided into four classes:very high susceptibility area, high susceptibility area, medium susceptibility area and low susceptibility area, with the distribution areas of 97.29 km2, 124.71 km2, 94.99 km2and 121.73 km2. The evaluation results are verified by ROC curve and demonstrate that evaluation accuracy come to 75.04%. The evaluation results could provide a scientific basis for geological disaster prevention and control planning, major project planning and construction.
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