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Risk Assessment of Geological Hazards in the Alpine Gorge Region and Its Influencing Factors: A Case Study of Jiulong County, China

Author

Listed:
  • Xin Zhang

    (School of Emergency Management, Xihua University, Chengdu 610039, China
    School of Architecture and Civil Engineering, Xihua University, Chengdu 610039, China)

  • Lijun Jiang

    (School of Emergency Management, Xihua University, Chengdu 610039, China)

  • Wei Deng

    (Southwest Jiaotong University Hope College, Chengdu 610400, China)

  • Zhile Shu

    (School of Emergency Management, Xihua University, Chengdu 610039, China)

  • Meiben Gao

    (School of Emergency Management, Xihua University, Chengdu 610039, China
    Key Laboratory of Landslide Risk Early-Warning and Control, Ministry of Emergency Management, Chengdu University of Technology, Chengdu 610059, China)

  • Guichuan Liu

    (School of Architecture and Civil Engineering, Xihua University, Chengdu 610039, China)

Abstract

The mountainous areas in the western part of Sichuan Province are mostly Alpine Gorge regions with high mountains, steep slopes, complex topography and geomorphology, special climatic conditions, infertile soils, and fragile ecological environments. In this study, a geohazard risk assessment was carried out in the Alpine Gorge region to prevent geohazards from hindering socio-economic development, affecting the lives and safety of residents, and undermining sustainable development in the region. With the help of a geographic information system (GIS), the analysis of geohazard influence factors was carried out; eight indicators, such as elevation and slope aspect, were selected to construct the evaluation index system. Additionally, the time and space distribution pattern of each influence factor and geohazard was analyzed. Geologic hazards in the region are influenced mainly by precipitation and human engineering activities. The prediction and evaluation of geohazard risk in Jiulong County are based on the Information Value model (IV), the Logistic Regression model (LR), and the Random Forest model (RF). Comparing the Receiver operating characteristic (ROC) curves of the three models for the accuracy test, the results show that all three models are suitable for the Alpine Gorge region, and the Logistic Regression model has the highest accuracy. Based on the evaluation results, measures and countermeasures for geologic disaster prevention and mitigation are proposed in light of the reality of geologic disaster prevention and mitigation work in Jiulong County. The research results can guide the government’s disaster prevention and mitigation work, provide a scientific basis for formulating regional geologic disaster prevention and control strategies, and ultimately promote the region’s sustainable development.

Suggested Citation

  • Xin Zhang & Lijun Jiang & Wei Deng & Zhile Shu & Meiben Gao & Guichuan Liu, 2024. "Risk Assessment of Geological Hazards in the Alpine Gorge Region and Its Influencing Factors: A Case Study of Jiulong County, China," Sustainability, MDPI, vol. 16(5), pages 1-16, February.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:1949-:d:1346913
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    References listed on IDEAS

    as
    1. Shaohan Zhang & Shucheng Tan & Jinxuan Zhou & Yongqi Sun & Duanyu Ding & Jun Li, 2023. "Geological Disaster Susceptibility Evaluation of a Random-Forest-Weighted Deterministic Coefficient Model," Sustainability, MDPI, vol. 15(17), pages 1-21, August.
    2. Peng Yu & Jie Dong & Hongwei Hao & Yongjian Xie & Hui Zhang & Jianshou Wang & Chenghao Zhu & Yong Guan & Haochen Yu, 2023. "Risk Assessment and Prevention Planning for Collapse Geological Hazards Considering Extreme Rainfall—A Case Study of Laoshan District in Eastern China," Land, MDPI, vol. 12(8), pages 1-22, August.
    3. Leli Zong & Ming Zhang & Zi Chen & Xiaonan Niu & Guoguang Chen & Jie Zhang & Mo Zhou & Hongying Liu, 2023. "Ecological Risk Assessment of Geological Disasters Based on Probability-Loss Framework: A Case Study of Fujian, China," IJERPH, MDPI, vol. 20(5), pages 1-19, March.
    4. Shaohan Zhang & Shucheng Tan & Hui Geng & Ronwei Li & Yongqi Sun & Jun Li, 2023. "Evaluation of Geological Hazard Risk in Yiliang County, Yunnan Province, Using Combined Assignment Method," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
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