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Evaluation of Geological Hazard Risk in Yiliang County, Yunnan Province, Using Combined Assignment Method

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  • Shaohan Zhang

    (Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China
    International Joint Laboratory of Critical Mineral Resource, Yunnan University, Kunming 650500, China)

  • Shucheng Tan

    (Laboratory of Critical Mineral Resource, Yunnan International Joint, School of Earth Science, Yunnan University, Kunming 650500, China)

  • Hui Geng

    (Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China
    International Joint Laboratory of Critical Mineral Resource, Yunnan University, Kunming 650500, China)

  • Ronwei Li

    (Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China
    International Joint Laboratory of Critical Mineral Resource, Yunnan University, Kunming 650500, China)

  • Yongqi Sun

    (Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China)

  • Jun Li

    (Yunnan Architectural Engineering Design Company Limited, Kunming 650501, China)

Abstract

Geological disasters are prevalent during urbanization in the mountainous areas of southwest China due to the complex geographic and fragile geologic conditions. This paper relies on the ArcGIS platform as the model operation carrier and takes Yiliang County of Yunnan Province as the research area. Nine evaluation factors such as slope and elevation were selected, and the risk assessment of geological disasters in Yiliang County is carried out by using the combination weighting method. The results show that: (1) the extremely high-risk areas and high-risk areas are distributed in the central, western, and northeastern parts of Yiliang County, of which 164 disaster points are distributed in the area, accounting for 72.56% of the total disaster points; (2) the elevation, human engineering activities, vegetation coverage, and distance from the river are the four main factors affecting the development of geological disasters in the area; (3) the proportions of extremely high-risk areas, high-risk areas, medium-risk areas, and low-risk areas in the total area of the county were 8.08%, 19.61%, 30.59%, and 41.72%, respectively; (4) the verification of the evaluation results by the receiver operating characteristic (ROC) curve shows that the evaluation accuracy is 80%, and the zoning results are consistent with the spatial and temporal distribution of historical disaster points. The combined weighting method can effectively evaluate the risk of geological disasters in Yiliang County, and the results can be used as a scientific reference for local government departments to carry out relevant work.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13978-:d:1244128
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    References listed on IDEAS

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    1. Roberta Plangg Riegel & Darlan Daniel Alves & Bruna Caroline Schmidt & Guilherme Garcia Oliveira & Claus Haetinger & Daniela Montanari Migliavacca Osório & Marco Antônio Siqueira Rodrigues & Daniela M, 2020. "Assessment of susceptibility to landslides through geographic information systems and the logistic regression model," 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. 103(1), pages 497-511, August.
    2. Shaohan Zhang & Shucheng Tan & Lifeng Liu & Duanyu Ding & Yongqi Sun & Jun Li, 2023. "Slope Rock and Soil Mass Movement Geological Hazards Susceptibility Evaluation Using Information Quantity, Deterministic Coefficient, and Logistic Regression Models and Their Comparison at Xuanwei, Ch," Sustainability, MDPI, vol. 15(13), pages 1-19, July.
    3. Krishna Devkota & Amar Regmi & Hamid Pourghasemi & Kohki Yoshida & Biswajeet Pradhan & In Ryu & Megh Dhital & Omar Althuwaynee, 2013. "Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya," 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. 65(1), pages 135-165, January.
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    Cited by:

    1. 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.
    2. Ruixia Ma & Yan Lyu & Tianbao Chen & Qian Zhang, 2023. "Preliminary Risk Assessment of Geological Disasters in Qinglong Gorge Scenic Area of Taihang Mountain with GIS Based on Analytic Hierarchy Process and Logistic Regression Model," Sustainability, MDPI, vol. 15(22), pages 1-19, November.

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