Evaluation of regional landslide disaster susceptibility based on geodetector - analytic hierarchy process

Authors

  • Jian Cui Henan Academy of Geology, Zhengzhou, China
  • Yixuan Li North China University of Water Resources and Electric Power, Zhengzhou, China
  • Chong Wei North China University of Water Resources and Electric Power, Zhengzhou, China
  • Tianrong Qiao Henan Academy of Geology, Zhengzhou, China
  • Huizhi Wu Henan Academy of Geology, Zhengzhou, China

DOI:

https://doi.org/10.4408/IJEGE.2025-01.O-04

Keywords:

landslide, geohazard, geodetector, hierarchical analysis method, susceptibility evaluation

Abstract

Effective evaluation of regional landslide geologic disaster susceptibility can improve the timeliness and accuracy of monitoring and early warning. However, existing studies have problems such as indicator selection without considering
regional variability and strong subjectivity in evaluation. In this paper, a new evaluation method of landslide disaster susceptibility is proposed by combining geodetector and hierarchical analysis method; taking the eastern part of Qinling Mountain System in Henan Province as the study area, spatial analysis, reclassification, autocorrelation analysis and statistical methods are used for quantitative analysis and evaluation. The results show that: road density and water system density are the main influencing factors, with q-values of 0.361 and 0.242, respectively; the mean value of Landslide Susceptibility Index (LSI) in the study area is 0.402, which belongs to the moderate susceptibility class as a whole, with the high-value zones mainly located in the valley and rivers and along the roads, the LSI values show significant positive spatial correlation. Therefore, this method can more accurately quantitatively evaluate the regional landslide disaster susceptibility.

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Published

2025-07-31

How to Cite

Cui, J., Li, Y., Wei, C., Qiao, T., & Wu, H. (2025). Evaluation of regional landslide disaster susceptibility based on geodetector - analytic hierarchy process. Italian Journal of Engineering Geology and Environment, (1), 21–29. https://doi.org/10.4408/IJEGE.2025-01.O-04

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Articles