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

MENG Xiaojie; ZHANG Xinshe; ZENG Qingming; WANG Dong

doi:10.19751/j.cnki.61-1149/p.2022.02.022

Northwestern Geology > 2022 > 55(2): 249-259. > DOI: 10.19751/j.cnki.61-1149/p.2022.02.022

MENG Xiaojie, ZHANG Xinshe, ZENG Qingming, et al. 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[J]. Northwestern Geology, 2022, 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: April 06, 2021
Revised Date: November 09, 2021
Available Online: July 28, 2022

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Abstract

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.
- geological hazard,
- the susceptibility evaluation,
- weighted Information model,
- GIS,
- Maiji area

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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

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