重庆市武隆县滑坡地质灾害遥感调查与评价分析研究

发布时间：2018-05-18 09:17

本文选题：地质灾害 + 滑坡　；参考：《重庆交通大学》2013年硕士论文

【摘要】：武隆县是典型的喀斯特地貌地区,也是滑坡地质灾害多发区和易发区。滑坡地质灾害的发生不仅造成了巨大经济损失和人员伤亡,往往还造成严重的生态破坏,善后处理及整治费用更是无法估量,已严重阻碍了当地社会经济可持续发展。因此,利用当前高新技术对滑坡地质灾害进行调查、评价、监测和防治,已成为刻不容缓的任务。本论文是在总结前人的研究成果和研究经验的基础上,以TM遥感影像、航空影像资料、区域1：5万地形图和第二次土地利用调查现状图等为研究的基础资料,通过对遥感图像的处理和其他资料的分析,对武隆县境内的滑坡点进行了遥感解译。滑坡点的遥感解译结果经调查验证,符合武隆县的实际情况。以遥感图像和相关资料所提取的地形信息为基础,结合研究区的地形地貌、地层岩性、地质构造、河流、人类活动、降雨、植被等影响滑坡的因素,采用层次分析法、模糊数学等方法对研究区的滑坡地质灾害调查和滑坡危险性评价做了深入的探讨,将地质灾害危险性划分为五个等级,最终得到研究区滑坡地质灾害危险性区划图。本文研究过程中有以下创新： ①针对武隆县喀斯特独特的地质环境,形成了一套基于遥感和GIS的从数据来源选择→数据源分析研究→滑坡地质灾害遥感解译→滑坡地质灾害因素分析(危险性评价指标的建立)→评价模型的建立→危险性评价区划的方法体系和工作流程。 ②本文将TM遥感影像和航空影像的优势结合,使得融合后的图像既具有TM的光谱信息,又具有航空影像的高空间分辨率,最大限度地提取本次工作所需的地质灾害信息。 ③本文将遥感调查的基础资料与研究区的地形地貌、地层岩性、地质构造、河流、人类活动、降雨、植被等影响滑坡的因素进行叠加,采用层次分析法和模糊数学综合评判对研究区的滑坡危险性进行评价,揭示出武隆县不同等级的滑坡灾害危险性的一些空间分布规律。
[Abstract]:Wulong County is a typical karst landform area, and also a prone area for landslide geological hazards. The occurrence of landslide geological disaster not only caused huge economic losses and casualties, but also caused serious ecological damage. The cost of after-treatment and remediation is inestimable, which has seriously hindered the sustainable development of local social economy. Therefore, it has become an urgent task to investigate, evaluate, monitor and prevent landslide geological hazards by using current high and new technology. This paper is based on summarizing the previous research results and experiences, taking TM remote sensing image, aerial image data, regional 1: 50,000 topographic map and the status map of the second land use survey as the basic data. Through the processing of remote sensing image and the analysis of other data, the landslide point in Wulong county is interpreted by remote sensing. The result of remote sensing interpretation of landslide points is in accordance with the actual situation of Wulong County. Based on the topographic information extracted from remote sensing images and related data, the analytic hierarchy process (AHP) is used to analyze the factors affecting landslides, such as topography, stratigraphy, lithology, geological structure, rivers, human activities, rainfall, vegetation, and so on. The methods of fuzzy mathematics and so on have made a deep discussion on the investigation and evaluation of landslide geological hazard in the study area. The geological hazard is divided into five grades, and finally the geological hazard zoning map of landslide in the study area is obtained. In this paper, there are the following innovations: 1. Aiming at the unique geological environment of karst in Wulong county, A set of data sources Analysis based on remote Sensing and GIS to analyze landslide Geological hazards remote Sensing interpretation of landslide Geological hazards factors Analysis (Establishment of risk Assessment Index) and the Establishment of Evaluation Model The method system and work flow of risk assessment regionalization. 2 combining the advantages of TM remote sensing image and aeronautical image, the fused image not only has the spectral information of TM, but also has the high spatial resolution of aerial image, so that the geological hazard information needed in this work can be extracted to the maximum extent. (3) the basic data of remote sensing survey are superposed with the factors influencing landslide, such as topography and landform, stratigraphic lithology, geological structure, river, human activity, rainfall, vegetation, etc. In this paper, AHP and fuzzy mathematics are used to evaluate the landslide hazard in the study area, and some spatial distribution laws of landslide hazard in different grades in Wulong County are revealed.
【学位授予单位】：重庆交通大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P237;P642.22

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