Volume 25 Issue 4
Aug.  2019
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ZHOU Jingjing, ZHANG Xiaomin, ZHAO Fasuo, et al., 2019. RESEARCH ON RISK ASSESSMENT OF GEOLOGICAL HAZARDS IN QINLING-DABA MOUNTAIN AREA, SOUTH SHAANXI PROVINCE. Journal of Geomechanics, 25 (4): 544-553. DOI: 10.12090/j.issn.1006-6616.2019.25.04.053
Citation: ZHOU Jingjing, ZHANG Xiaomin, ZHAO Fasuo, et al., 2019. RESEARCH ON RISK ASSESSMENT OF GEOLOGICAL HAZARDS IN QINLING-DABA MOUNTAIN AREA, SOUTH SHAANXI PROVINCE. Journal of Geomechanics, 25 (4): 544-553. DOI: 10.12090/j.issn.1006-6616.2019.25.04.053

RESEARCH ON RISK ASSESSMENT OF GEOLOGICAL HAZARDS IN QINLING-DABA MOUNTAIN AREA, SOUTH SHAANXI PROVINCE

doi: 10.12090/j.issn.1006-6616.2019.25.04.053
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  • Received: 2018-09-04
  • Revised: 2019-01-04
  • Published: 2019-08-28
  • Shaanxi Province is one of the provinces with the most serious geological disasters in China, especially the Qinling-Daba mountain area in south Shaanxi Province. Therefore, it is of great significance to conduct geological hazard assessment to guide disaster prevention and reduction. Taking Qinling-Daba mountain area as the study area, firstly based on GIS technology and the geological hazard data of the study area from 2001 to 2016, the sensitivity relationship between geological hazards and various index factors in the area is studied, and seven factors affecting the occurrence of geological hazards, such as elevation, type of rock and soil mass, fault structure and rainfall, are determined as the risk assessment indexes of regional geological hazards. Secondly, according to the number of geological disasters and the slope abrupt change of cumulative frequency curves under each index, the assessment index factors are graded into different states. Finally, the grid data model is established to carry out regional geological hazards assessment by using information value model. The results show that the percentages of high-risk, relatively high-risk, and medium-risk areas in the study area are 10.52%, 28.31% and 30.19%, respectively. The spatial distribution of geological hazards in the region is basically consistent with the hazard assessment results, and the prediction accuracy is 90.16%. This research combines empirical knowledge with data-driven analysis methods and applies to a wide range of geological hazard zoning. The conclusions provide reference for prevention and control of regional geological hazards.

     

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