Comparison of Landslides Susceptibility Analysis using AHP, SMCE and GIS for Nilgiris district , India

Media
Comparison of Landslides Susceptibility Analysis
Title
Comparison of Landslides Susceptibility Analysis using AHP, SMCE and GIS for Nilgiris district , India
Description
The study conducted by S. Shanthi and Dr. K. Elangovan focuses on landslide susceptibility analysis in the Nilgiris district of India using Geographic Information Systems (GIS), Analytical Hierarchy Process (AHP), and Spatial Multi-Criteria Evaluation (SMCE). It identifies past landslide locations and relevant predictors such as geomorphology, geology, and rainfall, creating a landslide inventory map. Using AHP and SMCE, the researchers calculated weights for these predictors, generating a landslide susceptibility (LS) map categorized into five zones. The results showed that SMCE provided a more accurate representation of susceptibility zones compared to AHP, with both models validating well against historical data.
Date
April 2017
Format
pdf
Language
English

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