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Susceptibility evaluation of slip avalanche-slip geohazards in Xiangyun (Southwest China) based on lM-LR coupling

Author

Listed:
  • Wei Yang

    (Yunnan University
    Yunnan International Joint Laboratory of Critical Mineral Resource)

  • Shucheng Tan

    (Yunnan International Joint Laboratory of Critical Mineral Resource
    Yunnan University)

  • Tao Zhu

    (Yunnan International Joint Laboratory of Critical Mineral Resource
    Yunnan University)

  • Siyuan Xia

    (Yunnan University
    Yunnan International Joint Laboratory of Critical Mineral Resource)

  • Yunxiang Lan

    (Yunnan University)

Abstract

Xiangyun County is a typical mountainous county. At present, few people have studied geological hazards in Xiangyun County, so it is particularly important to choose appropriate methods for disaster assessment in the study area. (1) Research background: Xiangyun County is located in western Yunnan, China, where geological disasters such as landslides and collapses occur frequently. Not only endanger the safety of people's lives and property, but also destroy the ecological environment within the territory. (2) Methods: The distribution characteristics and influencing factors of geological hazards in Xiangyun County were studied and analyzed, and 9 influencing factors such as elevation, slope, slope direction, stratigraphic lithology, NDVI and rainfall were selected to evaluate the disaster susceptibility of the study area. Through the correlation analysis of evaluation factors, the evaluation system is constructed by combining the information model and the information—logistic regression model. Using ArcGIS software, the study was divided into 5 grades: extremely high, high, medium, low and extremely low prone areas. (3) Results: ROC curve was used to test the evaluation results of the two models respectively. The accuracy of the information model was 74%, and the accuracy of the coupling model was 83%. Extremely high and high-risk areas account for 18% and 24% of the total area, respectively. (4) Conclusion: The results show that the coupled model test has a high precision and can provide a reliable basis for this evaluation.

Suggested Citation

  • Wei Yang & Shucheng Tan & Tao Zhu & Siyuan Xia & Yunxiang Lan, 2025. "Susceptibility evaluation of slip avalanche-slip geohazards in Xiangyun (Southwest China) based on lM-LR coupling," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(5), pages 5993-6010, March.
    • Handle: RePEc:spr:nathaz:v:121:y:2025:i:5:d:10.1007_s11069-024-06950-1
    DOI: 10.1007/s11069-024-06950-1
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    References listed on IDEAS

    as
    1. S. Boussouf & T. Fernández & A. B. Hart, 2023. "Landslide susceptibility mapping using maximum entropy (MaxEnt) and geographically weighted logistic regression (GWLR) models in the Río Aguas catchment (Almería, SE Spain)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(1), pages 207-235, May.
    2. Zhuo Chen & Danqing Song & Lihu Dong, 2023. "An innovative method for landslide susceptibility mapping supported by fractal theory, GeoDetector, and random forest: a case study in Sichuan Province, SW China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(3), pages 2543-2568, September.
    3. Abdul Baser Qasimi & Vahid Isazade & Ronny Berndtsson, 2024. "Flood susceptibility prediction using MaxEnt and frequency ratio modeling for Kokcha River in Afghanistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(2), pages 1367-1394, January.
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