| 陕南秦巴山区地质灾害危险性评价研究 |
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| 引用本文： | 周静静,张晓敏,赵法锁,李辉,刘海南.陕南秦巴山区地质灾害危险性评价研究[J].地质力学学报,2019,25(4):544-553. |
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| 作者姓名： | 周静静 张晓敏 赵法锁 李辉 刘海南 |
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| 作者单位： | 长安大学地质工程与测绘学院,陕西 西安,710054;国土资源部矿山地质灾害成灾机理与防控重点实验室, 陕西 西安710054;陕西省地质环境监测总站, 陕西 西安710054 |
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| 基金项目： | 国家自然科学基金项目（41877247） |
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| 摘 要： | 陕西省是中国地质灾害最严重的省份之一，而陕南秦巴山区地质灾害灾情尤为严峻，因此进行地质灾害危险性评价对指导防灾减灾工作意义重大。文章以陕南秦巴山区为研究区，基于GIS技术与2001-2016年研究区地质灾害灾情数据，分析研究了区内地质灾害与各指标因子之间的敏感性关系，并确定了高程、岩土体类型、断裂构造、降雨等7个影响地质灾害发生较大的因子作为区域地质灾害危险性评价指标。其次，以各指标条件下地质灾害数量和累计发生频次曲线斜率的突变为依据，对评价指标因子进行状态分级。最后，运用信息量法建立栅格数据模型展开区域地质灾害危险性评价。研究结果表明:高危险性、较高危险性、中危险性的地区占研究区总面积的百分比分别为10.52%、28.31%、30.19%，区内地质灾害点的空间分布与地质灾害危险性评价结果基本一致，信息量模型的预测精度为90.16%。文章将经验知识与数据驱动的分析方法相结合，应用于较大范围的地质灾害危险性区划，研究结果可为区域地质灾害防治工作提供参考依据。
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| 关 键 词： | 地质灾害 GIS 指标因子 信息量 危险性评价 陕南秦巴山区 |
| 收稿时间： | 2018/9/4 0:00:00 |
| 修稿时间： | 2019/1/4 0:00:00 |
RESEARCH ON RISK ASSESSMENT OF GEOLOGICAL HAZARDS IN QINLING-DABA MOUNTAIN AREA, SOUTH SHAANXI PROVINCE |
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| ZHOU Jingjing,ZHANG Xiaomin,ZHAO Fasuo,LI Hui and LIU Hainan.RESEARCH ON RISK ASSESSMENT OF GEOLOGICAL HAZARDS IN QINLING-DABA MOUNTAIN AREA, SOUTH SHAANXI PROVINCE[J].Journal of Geomechanics,2019,25(4):544-553. |
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| Authors: | ZHOU Jingjing ZHANG Xiaomin ZHAO Fasuo LI Hui and LIU Hainan |
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| Institution: | 1.College of Geology Engineering and Surveying Engineering, Chang'an University, Xi'an 710054, Shaanxi, China2.Key Laboratory of Mine Geological Hazards Mechanism and Control, Ministry of Land and Resources, Xi'an 710054, Shaanxi, China3.Shaanxi Institute of Geo-Environment Monitoring, Xi'an 710054, Shaanxi, China |
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| Abstract: | 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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| Keywords: | geological hazards geographic information system(GIS) index factors information risk assessment Qinling-Daba mountain area in south Shaanxi Province |
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