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2023 Vol. 10, No. 4
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LIU Zhongnan, GAO Yinmei, JIANG He, HUANG Yongwei, DING Huadong, YAN Zhiqiang. 2023. Sensitivity analysis of inducing factors of slope geological hazards based on CF Model: A case study of Xinning County in Hunan Province. Geological Survey of China, 10(4): 107-115. doi: 10.19388/j.zgdzdc.2023.04.13
Citation: LIU Zhongnan, GAO Yinmei, JIANG He, HUANG Yongwei, DING Huadong, YAN Zhiqiang. 2023. Sensitivity analysis of inducing factors of slope geological hazards based on CF Model: A case study of Xinning County in Hunan Province. Geological Survey of China, 10(4): 107-115. doi: 10.19388/j.zgdzdc.2023.04.13
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Sensitivity analysis of inducing factors of slope geological hazards based on CF Model: A case study of Xinning County in Hunan Province

  • 1. Hunan Geophysical and Geochemical Survey Institute, Hunan Changsha 410000, China;

  • 2. Henan Geology and Mining Vocational College, Henan Zhengzhou 450000,China;

  • 3. University of South China, Hunan Hengyang 421000, China

Received Date:  01 December 2022
Revised Date:  14 July 2023
    Abstract
  • The main controlling factors of slope geological hazards and their influence degrees are different in different regions and geological backgrounds. Analyzing the sensitivity of hazard inducing factors is beneficial to improve the accuracy of slope geological hazards prediction. On the basis of data collection and field investigation, the authors in this research selected eight factors, including slope, elevation, profile curvature, stratum, geolo-gical time, slope structure, fault, river and normalized difference vegetation index (NDVI), as the inducing factors of slope geological hazards. The sensitivity analysis is conducted by the certainty factor (CF) model based on GIS platform, and the sensitivity index was used to analyze the sensitivity of each factor and divide the sensitivity zones. The results show that areas with the most prone to disasters included characteristics of slope ≥40°, elevation [600,700) m, profile curvature ≥0.6, Triassic and Permian, along slope, [0, 500) m from the fault, [0, 200) m from the river and NDVI between [0.233, 0.595). The sensitivity was divided into five sensitive zones, namely extremely high, high, medium, low and extremely low. At the same time, the disaster data from 2020 to 2021 were used to verify that 87.50% of the disasters were located in extremely high and high sensitive areas, verifying the rationality of this study. The research results lay a foundation for the next step of risk assessment, and provide a reference for disaster prevention and for other counties and districts in Hunan Province.
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