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JIA Lina, CHEN Shichang. 2024. Geological Hazard Susceptibility Evaluation Based on AHP and GIS in Zhouqu County, Gansu. Northwestern Geology, 57(1): 23-33. doi: 10.12401/j.nwg.2023094
Citation: JIA Lina, CHEN Shichang. 2024. Geological Hazard Susceptibility Evaluation Based on AHP and GIS in Zhouqu County, Gansu. Northwestern Geology, 57(1): 23-33. doi: 10.12401/j.nwg.2023094
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Geological Hazard Susceptibility Evaluation Based on AHP and GIS in Zhouqu County, Gansu

  • Key Laboratory of Groundwater Engineering and Geothermal Resources of Gansu Province, Geological Environment Monitoring Institute of Gansu Province, Lanzhou 730050, Gansu, China

Received Date:  11 September 2022
Revised Date:  20 April 2023
Accepted Date:  16 May 2023
Publish Date:  20 February 2024
    Abstract

  • Zhouqu County is a rare national area with a high incidence of landslides and debris flows, and its disaster prevention and mitigation work is challenging. Relying on the 1∶50 000 geological disaster risk survey work in Zhouqu County, we deeply analyze the geological conditions for disaster, select 11 evaluation factors of geological disaster frequency ratio, geological disaster area modulus ratio, geological disaster volume modulus ratio, slope, slope change rate, slope shape, cutting depth, gully density, rock and soil type, faults, vegetation index, establish an evaluation model using analytic hierarchy process (AHP), determine the weight assignment of each factor, and use The GIS platform was used to comprehensively evaluate the vulnerability of geological disasters in Zhouqu County.. The results show that the areas of extremely high-prone and high-prone areas are 68.98 km2 and 390.9 km2 respectively in Zhouqu County, Gongba River Basin, middle area of Zhouqu section of Boyu River Basin , where people and properties are concentrated. The corresponding areas of the middle-prone and low-prone areas are 1166.21 km2 and 1387.76 km2, respectively. The research results provide references for the overall planning of Zhouqu County and geological disaster prevention and control.

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