Landslide susceptibility mapping using frequency ratio method and GIS in south eastern part of Nilgiri District, Tamilnadu, India
Author(s)– Ram Mohan.V et.al.,
The study area is located in the Nilgiri district of TamilNadu, India. Most of the landslides during November, 2009 occurred between Burliyar and Katteri along the road, Nagapattinam – Gudalur National Highway (NH-67). More than 80 major landslides were reported within three days from 8 to 10 November, 2009, which took 48 human lives, and also imparted severe damage to houses, roads and railway lines. Detailed investigation was carried out on the landslide that occurred during the month of November, 2009 in Nilgiri District. The investigation involved systematic collection of data pertaining to the geological, structural and geomorphic variables. The Landslide Susceptibility Index map was prepared using GIS and it divides the study area into five zones of landslide susceptibility viz., very low, low, moderate, high and very high.
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A GIS and frequency ratio based landslide susceptibility mapping: Aghnashini river catchment, Uttara Kannada, India
Author(s)-Avinash K.G, Ashamanjari K.G
Landslides are encountered during the monsoon season in the undulating terrains of the Western Ghats, resulting in significant damage to life and property. Here landslide susceptible regions are modelled in the Aghnashini river catchment of Uttara Kannada district of Karnataka, India, using the frequency ratio method. Factors that influence landslides like slope, aspect, distance from roads and lineament, soil depth, soil type, and Land use and land cover, were extracted from the spatial database. Using the factors and detected landslide based on the field work, the relationships were calculated using frequency ratio, one of the probabilistic model of frequency ratio model. The computed index for each grid for each factor was summed and grouped into five classes. The susceptibility in the region with Argillit, clayey-skeletal, slope greater than 45, slope facing Southwest having grassland showed highest susceptibility. The landslide-susceptibility map can be used to reduce damage associated with landslides and to land cover planning.
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