基于SRTM DEM的地形起伏度对天水市黄土滑坡的影响分析

发布时间：2018-05-21 03:19

本文选题：黄土滑坡 + 地形起伏度　；参考：《冰川冻土》2017年03期

【摘要】：以天水市辖区30 m分辨率的SRTM DEM数据为基础,首先利用GIS空间分析模块中邻域统计分析法,依次选取2×2、3×3、4×4、…、28×28、29×29、30×30共29个矩形邻域分析窗口,运用均值变点分析法进行最佳计算单元的计算分析。结果表明:12×12的网格大小(12.96×10~4m~2)为曲线突变的拐点,作为曲线由陡变缓的阈值,确定12×12的网格大小(12.96×10~4m~2)为研究区地形起伏度计算的最佳单元,生成研究区地形起伏度分级图。进而采用确定性系数法(CF)、证据权法、信息量法和条件概率法对研究区发育的黄土滑坡灾害与地形起伏度之间的相关关系进行了定量分析。研究结果表明,区内地形起伏度影响因子层中地形起伏度60~120 m的分级因子层为黄土滑坡灾害的易发因子层,而其中60~90 m区间的值最大,为黄土滑坡灾害的优势因子区间,对滑坡的响应最敏感。
[Abstract]:Based on the SRTM DEM data with a resolution of 30 m in Tianshui City area, firstly, by using the neighborhood statistical analysis method of GIS spatial analysis module, 2 脳 2 脳 3 脳 3 脳 4 脳 4, 2 脳 2 脳 3 脳 3 脳 4, 2 脳 2 脳 3 脳 3 脳 4, respectively. In this paper, 29 rectangular neighborhood analysis windows of 28 脳 28 脳 29 脳 29 脳 30 脳 30 are used to calculate and analyze the optimal calculation unit by means of mean value change point analysis. The results show that the mesh size of 12 脳 12 脳 12 (12.96 脳 10 ~ (4) m ~ (2) is the inflection point of curve abrupt change, as the threshold of curve from steep to slow, the 12 脳 12's mesh size is determined to be 12.96 脳 10 ~ (4) m ~ (2) as the best unit to calculate the topographic fluctuation degree of the study area, and the topographic relief grading map of the study area is generated. Then the deterministic coefficient method, the evidence weight method, the information quantity method and the conditional probability method are used to quantitatively analyze the correlation between the loess landslide disaster and the topographic fluctuation in the study area. The results show that the graded factor layer of the topographic fluctuation degree of 60 ~ 120 m is the vulnerable factor layer of loess landslide disaster, and the value of the range of 60 ~ 90 m is the largest, which is the dominant factor interval of loess landslide disaster. The response to the landslide is the most sensitive.
【作者单位】：兰州大学资源环境学院西部环境教育部重点实验室;甘肃省科学院地质自然灾害防治研究所;中国科学院西北生态环境资源研究院冰冻圈科学国家重点实验室;
【基金】：国家自然科学基金项目(41362014) 国家重点基础研究发展计划“973计划”项目(2014CB744703) 甘肃省科学院应用研发项目(2012JK-07;2013JK-06;2013JK-07;2014JK-04;2014JK-05;2015JK-01;2017JK-01) 甘肃省青年基金项目(145RJYA314)资助
【分类号】：P642.22

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