有关方面已经对喜马拉雅山脉地质构造运动活跃地区进行了基于GIS（地理信息系统；下同）滑坡风险地带分区，该地区面临经济快速发展的巨大压力。有关方还根据地形图、卫星成像、地质图出版物和地面实况制作了各类层状斜坡资料、断层资料、地质资料、土地使用资料、流动积累资料、排水资料、路况资料，并将滑坡风险分为5级；整个地区有54%的部分被归为“很高风险”或“高风险”类。有关方面对在这部分地区观察到的滑坡现象也作了记录北京英语翻译。

GIS-based landslide hazard zonation has been carried out for a tectonically active region of the Himalayas,which is under pressure for rapid economic development. Thematic  layers of slope, fault, geology, land use, flow accumulation, drainage and roads were prepared based on topographic maps, satellite imagery, published geological maps and ground truth. Five classes of landslide hazard were identified; 24% of the total area falls into the Very high or High hazard zones where 54% of the observed landslides were recorded.

每种参数均被赋予了一个同滑坡发生频率有关的权值。这个权值是根据滑坡频率和已测得的参数图之间的联系估算出来的。将该权值同滑坡概率结合起来，便可得出滑坡后验概率。如上所述，每个参数图均被缩减为离散的域类。该特征的型式为二元，代表其有无（像点的形式）（Weston 1993）。我们可以使用二元统计法作出这样一个假设：某个研究区域中的所有滑坡现象均在相同的参数集合条件下发生，并且所有参数集均为有条件独立集翻译公司。

Each parameter was assigned a weight in terms of its correlation with the occurrence of landslides, estimated from the measured association between landslides and the values on the selected parameter maps. This was combined with the probability of occurrence of landslides to derive the posterior probability of occurrence. As discussed above, each parameter map was reduced to discrete domain classes. In its simplest form, the  attern
of the feature is binary, representing its presence or absence in pixels (Weston 1993). Using bivariate statistics,an assumption is made that all landslides in a given study area occur under the same combination of parameters and all sets of parameters are  conditionally independent.