首页> 外文会议>Asian conference on remote sensing >PROBABILITY OF LANDSLIDE OCCURENCE MAPPING USING PROBABILITY DENSITY FUNCTION: A CASE STUDY OF THE MAE THA GROUP IN NAM LI WATERSHED, THAILAND
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PROBABILITY OF LANDSLIDE OCCURENCE MAPPING USING PROBABILITY DENSITY FUNCTION: A CASE STUDY OF THE MAE THA GROUP IN NAM LI WATERSHED, THAILAND

机译:利用概率密度函数的滑坡发生概率 - 以泰国南霖的Mae Tha组为例

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Due to the spatial complication of mixing kinds of rocks in a geological mapping unit and its structure, any quantitative engineering property related to the landslide is not a single value. It exists in a range. This leads to existence in range of the landslide susceptibility indexes (LSIs) calculated from varying properties of a rock unit. The objective of the study is to analyze the probability of landslide occurrence of the Mae Tha Group in Nam Li watershed, Thailand using Probability Density Function (PDF). Referring to Tanang et al. (2010), by using GIS analysis, the range of LSIs in this rock unit (0.63-1.603) associated with landslide scars could be extracted. In this study, these LSIs were sliced into 11 ranges captured by 12 values (0.63, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, and 1.603) which were candidates to be a critical LSI. Performing on each TIN polygon of each candidate, slope of the polygon, the mean and standard deviation of LSIs calculated from the possible composite properties of the rock unit were input to PDF and resulted in the Probability of Failure Indexes (PFIs). For each candidate, a raster map layer of PFIs was generated and modified to be PFI-1 layer. Any cell with PFI equal to 1 was kept as 1 or as 0 otherwise. Then, overlay analysis of a PFI-1 raster layer of each candidate and landslide scar layer was operated to obtain the fitting ratio. Any PFI-1 layer depicting the most fitting ratio was identified as the layer of critical LSI, which herein was 1.2. The PFIs raster layer of the critical LSI was then classified into 5 classes - very low, low, moderate, high, and very high, corresponding to the probability of landslide occurrence in the rock unit.
机译:由于地质映射单元中混合种类的空间并发症及其结构,与滑坡相关的任何定量工程性质都不是单一价值。它存在于范围内。这导致从岩石单元的不同性质计算的滑坡敏感指数(LSI)的范围存在。该研究的目的是利用概率密度函数(PDF)分析泰国南丽流域Mae Tha集团的滑坡局部发生的概率。参考Tanang等人。 (2010),通过使用GIS分析,可以提取与滑坡疤痕相关的该岩石单元(0.63-1.603)中的LSI范围。在本研究中,将这些LSI切成12个值捕获的11个范围(0.63,0.7,0.8,0.9,1.0,1.1,1.2,1.3,1.4,1.5,1.6和1.603),该候选人是关键的LSI。在每种候选的每个锡的多边形上执行从多边形的斜率,从岩石单元的可能复合性能计算的LSI的平均值和标准偏差被输入到PDF,并导致失效指数(PFI)的概率。对于每个候选者,生成并修改PFI的光栅映射层是PFI-1层。否则将具有PFI等于1的任何细胞保持1或0。然后,操作每个候选和滑坡层的PFI-1光栅层的覆盖分析以获得配合比。描绘最多拟合比的任何PFI-1层被鉴定为关键LSI的层,在此为1.2。然后将关键LSI的PFIS光栅层分为5级 - 非常低,低,中等,高,非常高,对应于岩石单元中的滑坡发生的概率。

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