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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。
Based on the SRTM DEM data of 30 m resolution in Tianshui district, firstly, using the neighborhood statistical analysis method of GIS spatial analysis module, we select 2 × 2, 3 × 3, 4 × 4, ..., 28 × 28, 29 × 29, 30 × 30, a total of 29 rectangular neighborhood analysis window, the use of mean-shift analysis of the best calculation unit analysis. The results show that the grid size of 12 × 12 (12.96 × 10 ~ 4m ~ 2) is the inflection point of the curve mutation. As the threshold value of the curve, the grid size of 12 × 12 (12.96 × 10 ~ 4m ~ 2) As the best unit for the calculation of the topographic relief in the study area, the topographic relief map of the study area was generated. Furthermore, the relationship between the loess landslide disaster and topographic relief developed in the study area was quantitatively analyzed by the method of deterministic coefficient (CF), evidence right method, information method and conditional probability method. The results show that the grading factor layer with topographic relief of 60 ~ 120 m in the influencing factor layer of topographic relief in the area is a susceptible factor layer of loess landslide hazard, of which the value of 60 ~ 90 m is the largest, which is the value of the loess landslide hazard Advantage factor interval, the response to landslide is the most sensitive.