"GIS Based Landslide Susceptibility Assessment of Malin Area: A Case Study in Watershed, India"
Landslides are common geological phenomenon witnessed in hilly areas and are one of the major disasters commonly experienced all over the world. In India, around 15 percent of the mountainous area is susceptible to landslide. The frequency and magnitude of landslide occurrence has increased due to anthropogenic activities in the hilly region. This has resulted in massive damage to property and infrastructure, besides loss of human lives. On 30th July 2014, a landslide occurred at Malin village, Pune district, Maharashtra which resulted in loss of life and infrastructure. In order to reduce the risk from potential landslide, there is a need to generate a Landslide Susceptibility Zonation (LSZ) map of the area for an effective and efficient disaster management. To obtain LSZ map of Malin watershed relevant thematic layers pertaining to the causative factors for landslide occurrences, such as slope, aspect, drainage, lineaments, soil and road, have been generated using field survey, ancillary data, satellite imagery and Geographical Information System (GIS) techniques. The quantitative relationship between landslides and causal factors has been established using Frequency Ratio (FR) method and Certainty Factor (CF) The relative importance of the various causal factors has been evaluated using Frequency Ratio (FR) method and Certainty Factor (CF) model and a LSZ map has been generated. The accuracy of the generated LSZ map has been evaluated to ascertain the landslide prediction accuracy.