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GIS-based landslide hazard zonation model and its application

机译:基于GIS的滑坡危险区划模型及其应用

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Multi-source earth observation data are highly desirable in nowaday landslide hazard prediction modeling. Landslide Hazard Zonation (LHZ) is a very important content of landslide hazard prediction modeling. In this paper, take Wan county for instance, we investigate the potentials of derivation from hybrid data sets to study landslide hazard zonation based on the ordinal scale relative weighting-rating technique. LHZ is then performed with chosen factor layers including: buffer map of thrusts, lithology, slope angle and relative relief calculated from DEM, NDVI, buffer map of drainage and Lineaments extracted from the digital satellite scene (TM). Then the Landslide Hazard Index (LHI) value is calculated and landslide hazard zonation is decided by slicing LHI histogram. The statistics demonstrate that High stable slope zone, Stable slope zone, Quasi-stable slope zone, Relatively unstable slope zone, Unstable slope zone and Defended slope zone account for 2.20%, 14.02%, 39.88%, 28.27%, 12.17% and 3.47% respectively. Then, GPS deformation control points on the landslide bodies are used to verify the validity of the LHZ technique.
机译:现在,多源地球观察数据在如今的滑坡危险预测模型中是非常理想的。 Landslide危险区划(LHZ)是山体滑坡危害预测建模的一个非常重要的内容。本文采用万县,我们研究了混合数据集的推导潜力,以基于序序相对加权评级技术研究滑坡危害区划。然后使用所选择的因子层进行LHz,包括:从DEM,NDVI,从数字卫星场景(TM)中提取的排水和谱系的排水和谱系的缓冲图的缓冲晶片图。然后计算滑坡危险指数(LHI)值,并通过切割LHI直方图来决定滑坡危险区段。统计数据表明,高稳定的斜坡区,稳定的坡度,准稳定区域,相对不稳定的斜坡区,不稳定的斜坡区,守卫坡度区占2.20%,14.02%,39.88%,28.27%,12.17%和3.47%分别。然后,滑坡体上的GPS变形控制点用于验证LHZ技术的有效性。

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