基于GIS的典型黄土区地质灾害致灾因子的优选与地表灾害过程模拟

项目名称： 基于GIS的典型黄土区地质灾害致灾因子的优选与地表灾害过程模拟

项目编号： No.41461084

项目类型： 地区科学基金项目

立项/批准年度： 2015

项目学科： 天文学、地球科学

项目作者： 牛全福

作者单位： 兰州理工大学

项目金额： 40万元

中文摘要： 以典型黄土地形地貌为例，通过深入研究黄土地形地貌形态特征，构建定量表达典型黄土地貌与地表地质灾害相关的地表形态数字指标体系，利用GIS空间分析与遥感影像的复合分析、3D可视化等新技术方法和高精度DEM数据实现典型黄土地貌类型与地表地质灾害相关的地表形态数字指标的自动提取，研究典型黄土地貌的演化与地质灾害形成过程之间的因果关系，应用相关系数法、叠加分析和对比分析方法探索致灾因子的优选方法，并进行地表灾害过程模拟。

中文关键词： 数字地形分析；地形特征提取；相关分析；地形建模；数字高程模型

英文摘要： A case study of typical loess landforms, The loess landform morphological characteristics were studyed deeply to build a digital indicators for quantitative expression of typical loess landform.which were also related to the geological disasters of the area. The digital indicators were extracted automatically with the GIS spatial analysis, composite analysis of remote sensing image and new technologies such as 3D visualization method using high precision DEM data.The evolution of the typical loess landforms were researched and the causal relationship between the loess landform and the geological disasters were also explored. Studying the optimization methods of disaster-causing factors were carried on with the method of correlation coefficient, overlay analysis and comparative analysis for the process simulation of ground surface disasters.

英文关键词： digital landform analysis;feature extraction of landform;correlation analysis;landform modeling;digital elevation model