基于FVEM的滑坡危险度评价研究
发布时间：2018-08-10 07:14
【摘要】：我国是世界上滑坡灾害最严重的国家之一,特别是随着近几年交通、水利等基础设施建设的进一步完善,产生了很多边坡失稳的事件,给国家的建设、人民的财产造成了严重的损失。研究区域—清平乡位于绵竹市的西北部,属于山地,地形地貌复杂,相对高差较大。区内支流众多,呈树形结构分布;断裂构造发育,受龙门山中央断裂和山前断裂影响,存在很大的地灾隐患,对其进行滑坡危险度评价研究,将对政府后期的规划建设有很大的意义。论文主要是结合前人的研究成果、滑坡发生的机理和研究区的实际情况,基于模糊证据权模型,对研究区滑坡危险度评价进行了研究,主要成果有:(1)滑坡危险度评价体系是一个复杂的、系统的的工作,论文较为全面地分析了这部分的内容:包括评价因子的建立、因素量化方法选择、数学模型的选取、危险度等级的确定以及危险度评价的成果,对未来的滑坡危险度评价的研究工作有较大的意义。(2)在因素量化这部分,基于模糊数学和统计分析的相关理论,定性和定量相结合,建立了隶属度函数,很大程度上减少了人为主观因素的影响,而且此方法更利于缺失数据的处理,使得量化结果更为精确。(3)采用模糊证据权模型,将致灾因子进行叠加,建立研究区域的滑坡危险度概率分布图,最后借用ArcGIS平台,对区域滑坡危险度概率分布图进行转化,输出滑坡危险度评价模拟图,并与实际灾害情况进行对比,表明评价结果符合实际。
[Abstract]:China is one of the countries with the most serious landslide disasters in the world. Especially, with the further improvement of infrastructure construction such as transportation and water conservancy in recent years, many incidents of slope instability have resulted in the construction of the country. The property of the people caused serious damage. Qingping Township is located in the northwest of Mianzhu City. There are many tributaries in this area, which are distributed in tree structure, and the fault structure is developed, which is affected by the central fault of Longmen Mountain and the fault in front of the mountain, so there is a great hidden danger to the ground, so the risk degree of landslide is evaluated and studied. It will be of great significance to the planning and construction of the later period of the government. Combined with the previous research results, the mechanism of landslide occurrence and the actual situation of the study area, based on the fuzzy evidence weight model, the risk assessment of landslide in the study area is studied in this paper. The main results are as follows: (1) the evaluation system of landslide risk is a complex and systematic work. This paper comprehensively analyzes the contents of this part: including the establishment of evaluation factors, the selection of factor quantification methods, the selection of mathematical models, The determination of risk grade and the results of risk assessment have great significance for the future landslide risk assessment. (2) in this part of factor quantification, based on the relevant theories of fuzzy mathematics and statistical analysis, qualitative and quantitative analysis are combined. The membership function is established, which reduces the influence of human subjective factors to a great extent, and this method is more favorable to the processing of missing data, which makes the quantization results more accurate. (3) using fuzzy evidential weight model, the disaster factors are superimposed. The probability distribution map of landslide risk degree is established in the study area. Finally, the probability distribution map of landslide risk degree is transformed by using ArcGIS platform, and the simulation map of landslide hazard evaluation is output, and the result is compared with the actual disaster situation. The results show that the evaluation results are in line with the reality.
【学位授予单位】：成都理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P642.22
本文编号：2175343
[Abstract]:China is one of the countries with the most serious landslide disasters in the world. Especially, with the further improvement of infrastructure construction such as transportation and water conservancy in recent years, many incidents of slope instability have resulted in the construction of the country. The property of the people caused serious damage. Qingping Township is located in the northwest of Mianzhu City. There are many tributaries in this area, which are distributed in tree structure, and the fault structure is developed, which is affected by the central fault of Longmen Mountain and the fault in front of the mountain, so there is a great hidden danger to the ground, so the risk degree of landslide is evaluated and studied. It will be of great significance to the planning and construction of the later period of the government. Combined with the previous research results, the mechanism of landslide occurrence and the actual situation of the study area, based on the fuzzy evidence weight model, the risk assessment of landslide in the study area is studied in this paper. The main results are as follows: (1) the evaluation system of landslide risk is a complex and systematic work. This paper comprehensively analyzes the contents of this part: including the establishment of evaluation factors, the selection of factor quantification methods, the selection of mathematical models, The determination of risk grade and the results of risk assessment have great significance for the future landslide risk assessment. (2) in this part of factor quantification, based on the relevant theories of fuzzy mathematics and statistical analysis, qualitative and quantitative analysis are combined. The membership function is established, which reduces the influence of human subjective factors to a great extent, and this method is more favorable to the processing of missing data, which makes the quantization results more accurate. (3) using fuzzy evidential weight model, the disaster factors are superimposed. The probability distribution map of landslide risk degree is established in the study area. Finally, the probability distribution map of landslide risk degree is transformed by using ArcGIS platform, and the simulation map of landslide hazard evaluation is output, and the result is compared with the actual disaster situation. The results show that the evaluation results are in line with the reality.
【学位授予单位】：成都理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P642.22
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