Landslide is an important geological hazard in the large extent of geo-environment, damaging the human lives and properties. The present work, intends to identify the landslide susceptibility zones for Darjeeling, India, using the ensembles of important knowledge driven statistical technique i.e. fuzzy logic with Landslide Numerical Risk Factor (LNRF) and Analytical Hierarchical Process (AHP). In the study area, 326 landslides have been identified and a landslide inventory map has been prepared based on these landslides. The landslide inventory map has considered as the dependent factor and the geo-environmental factors like rainfall, slope, aspect, altitude, geology, soil texture, distance from river, lineament and road, land use/ land cover, NDVI and TWI have been considered as independent factors. Landslide susceptibility maps were prepared based on the Fuzzy- Landslide Numerical Risk Factor (LNRF) and Fuzzy- analytic hierarchy process (AHP) methods in a GIS environment. According to the results of LNRF and AHP based fuzzy logic 34 and 22% areas are highly susceptible to landslide in this district. The landslide maps of both models have been validated through ROC curve and RMSE. The areas under curves are 91% (for Fuzzy-LNRF) and 90% (for Fuzzy-AHP) and RMSE values of these models are 0.18 and 0.14 which are indicating the good accuracy of both models in the identification of landslide susceptibility zones. Moreover, the Fuzzy-LNRF model is promising and sufficient to be advised as a method to prepare landslide susceptibility map at regional scale.

中文翻译：

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使用知识驱动的统计模型在印度西孟加拉邦大吉岭区进行滑坡敏感性地图

在很大程度上，滑坡是重要的地质灾害，对人类的生命和财产造成损害。本工作旨在使用重要的知识驱动统计技术，即具有滑坡数值风险因子（LNRF）和层次分析法（AHP）的模糊逻辑，确定印度大吉岭的滑坡敏感性区。在研究区域，已识别出326个滑坡，并根据这些滑坡编制了滑坡清单图。滑坡清单图已被认为是相关因素，并考虑了诸如降雨，坡度，纵横比，高度，地质，土壤质地，与河流，线路和道路的距离，土地利用/土地覆盖，NDVI和TWI等地质环境因素作为独立因素。在GIS环境下，基于模糊滑坡数值风险因子（LNRF）和模糊层次分析法（AHP），绘制了滑坡敏感性图。根据基于LNRF和AHP的模糊逻辑的结果，该地区34％和22％的地区极易发生滑坡。两种模型的滑坡图均已通过ROC曲线和RMSE进行了验证。这些模型的曲线下面积分别为91％（对于Fuzzy-LNRF）和90％（对于Fuzzy-AHP），并且RMSE值分别为0.18和0.14，这表明这两种模型在识别滑坡敏感性区域方面都具有良好的准确性。此外，Fuzzy-LNRF模型具有广阔的前景，可作为区域规模滑坡敏感性图的编制方法。