以绥德县为例基于ArcGIS及逻辑回归法的地质灾害危险性评价

发布时间：2018-04-03 19:11

本文选题：地质灾害危险性分区　切入点：影响因子体系　出处：《长安大学》2015年硕士论文

【摘要】：地质灾害每年在全球范围内大量发生,对人类的生活产生巨大的影响。地质灾害危险性区划及分析的研究,对政府相关部门的地质灾害防治工作的部署有关键的依据作用。世界范围内对于危险性分区的研究始于二十世纪五十年代,在相关领域已经取得了一些研究成果。此类研究多集中于如滑坡、崩塌等的单体灾害的风险性研究,对于大范围的,多灾种的研究尚处于发展阶段。区域地质灾害的危险性分析研究,将不仅仅帮助该区域的地质灾害的防治工作,在不断结合相关领域发展的基础上,终会将地质灾害调查及危险性分析工作变得节能而高效。本文以绥德县的地质灾害详细调查项目为背景,结合相关领域的现有研究成果,根据绥德县的地质环境条件,选取了绥德县的地质灾害危险性影响因子体系。基于ArcGIS平台,进行因子的量化提取以及归一化处理,而后编录入SPSS平台,进行逻辑回归分析。得到相关的逻辑回归系数,而后得到各因子对于地质灾害危险性分析的权重。在ArcGIS平台中,结合各因子归一化图与逻辑回归分析得到的权重,可以得到区域地质灾害发生概率图。在此基础上,结合ArcGIS中水文分析模块的斜坡单元划分方法,重置危险性分析的单元,并进行地质灾害的危险性区划和分析,进而得到绥德县的地质灾害危险性分区图。将全县分为四个危险性等级区:不危险区、低危险区、中危险区、高危险区,其面积分别为413km2、771.9km2、473km2、217.8km2。所得危险性情况基本吻合该县实际情况,验证了逻辑回归法在地质灾害危险性分区领域的应用性。
[Abstract]:Geological hazards occur in large numbers in the world every year, which have a great impact on human life.The study of geological hazard risk regionalization and analysis plays a key role in the arrangement of geological hazard prevention and control work in relevant government departments.Worldwide research on hazard zoning began in the 1950s, and has made some achievements in related fields.Most of these studies focus on the risk of single disasters, such as landslides and collapses, but the study of large-scale and multi-disaster is still in the stage of development.The risk analysis and study of regional geological hazards will not only help the prevention and control of geological hazards in this region, but also will make the investigation and risk analysis of geological hazards energy efficient and efficient on the basis of the continuous development of related fields.Based on the detailed investigation project of geological hazards in Suide County and the existing research results in relevant fields, according to the geological environment conditions of Suide County, the paper selects the risk factors system of geological hazards in Suide County.Based on the ArcGIS platform, the factors are extracted and normalized, and then compiled into the SPSS platform for logical regression analysis.The relevant logical regression coefficients are obtained, and then the weight of each factor for geological hazard risk analysis is obtained.In the ArcGIS platform, the probability map of regional geological hazards can be obtained by combining the weights obtained from the normalized map of each factor and the logical regression analysis.On this basis, combining with the slope unit division method of hydrologic analysis module in ArcGIS, resetting the risk analysis unit, and carrying out the risk zoning and analysis of geological hazards, the geological hazard zoning map of Suide County is obtained.The county is divided into four dangerous areas: no danger area, low risk area, middle risk area and high risk area, whose area is 413km2771.9km2473km2217.8 km2, respectively413km2771.9km2473km2217.8 km2.The results are in good agreement with the actual situation of the county and verify the application of the logical regression method in the field of geological hazard risk zoning.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P694;P208

【参考文献】