This study focuses on landslide susceptibility mapping in the eastern hills of Rara Lake, located in Mugu District, western Nepal. Using GIS and statistical methods, factors such as slope gradient, aspect, elevation, proximity to roads and streams, land use, and lithology were analyzed to assess susceptibility. The study identified high-risk zones with LSI values ranging from -7.12 to 5.45, corresponding to areas prone to landslides due to factors like steep slopes, specific geological formations, and proximity to infrastructure. Field validation showed a 76% success rate in predicting landslide occurrence which showed the utility of such maps for disaster preparedness and mitigation planning.
Research Paper
2016