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

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.

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Publication Details

Journal
Natural Hazards
Published
2024-11-27
DOI
https://doi.org/10.1007/s11069-024-06950-1
Primary Topic
Landslides and related hazards
Type
article
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article

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

Shucheng Tan, Tao Zhu, Lan Yao, Shaohong Xia et al.
Natural Hazards
Landslides and related hazards
article

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

Shucheng Tan, Tao Zhu, Lan Yao, Shaohong Xia, Wei Yang
article en

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.

Natural HazardsVol. 121(5)
Yunnan University (CN)
Climate action
Openalex Percentile: Top 68%
Landslides and related hazards
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Susceptibility evaluation of slip avalanche-slip geohazards in Xiangyun (Southwest China) based on lM-LR coupling — Shucheng Tan, Tao Zhu, et al. · Natural Hazards (2024) | TGRS Research Map | TGRS