Application of Frequency Ratio Model for the Development of Landslide Susceptibility Mapping at Part of Uttarakhand State, India

摘要

Frequency Ratio model has been successfully applied as statistical approach for landslide susceptibility assessment in many regions all over the world. In the present study, a part of Uttarakhand Himalaya has been selected as a case study to apply the FR model for landslide susceptibility assessment and mapping. For this, landslide inventory map was firstly constructed with 276 landslide locations identified from various sources with the help of GIS technology. These landslide locations were then randomly split into two parts: (i) 70% landslide locations (for training process) and (ii) 30% landslide locations (for validation process). Presently, in total eleven landslide conditioning factors (slope, aspect, elevation, curvature, land use, geomorphology, depth material, slope forming material, distance to road, distance to river and rainfall) have been selected for analyzing the spatial relationship with landslide occurrences. Using training dataset, the FR model was then built to assess landslide susceptibility in the study area. Finally Landslide Density (LD) was used to validate performance of the FR model. Results indicated that FR model is an effective method for the landslide susceptibility assessment of hilly areas.