基于概率指数模型的区域滑坡危险性评价

Regional Landslide Susceptibility Assessment Based on Probability Index Model

影响滑坡的因子很多,区域滑坡危险性因子的确定是治理滑坡的关键。以马来西亚金马仑高原作为研究区,选取岩性、地形、地貌、道路、土地利用等环境因子,在GIS平台上运用双变量统计方法,分析了滑坡与各环境因子之间的关系,根据滑坡面积密度建立了概率指数评价模型,进行了研究区滑坡危险性评价,结果表明,此模型具有较好的评价精度。

There are many factors which contribute to landslides occurrence. To confirm the regional landslide susceptibility factors is the key for landslide harnessing. The Cameron Highlands of Malaysia was selected as the study area. Bivariate statistical analysis method was used with GIS software to analyze the relationships between landslides and environmental factors（ such as lithology, geomorphy, elevation, road, landuse, etc. ）. Then, Probability Index Model was developed with Landslide Area Density. And the assessment of landslide susceptibility of Cameron Highlands was performed. The result shows that it has high prediction precision.