Modeling Landslide Hazard in the Eastern Himalayan Mountain Region of the Papumpare District of Arunachal Pradesh, India Using Multicriteria Decision-Making (MCDM) and Geospatial Techniques
2024
Tilling Riming, Praduyt Dey, Santanu Kumar Patnaik and Manju Narzary
Landslides are significant natural hazards that cause damage to the environment, life, and properties, mainly in hilly terrain. This research was mostly focused on generating a landslide susceptibility zone map of Papumpare District, Arunachal Pradesh, and classifying the region from high susceptibility to least susceptibility using AHP modeling techniques considering the landslide causative factors. The Analytical Hierarchy Process (AHP) is a multicriteria decision-making model (MCDM) in which each parameter is compared based on its role in triggering a landslide. A total of eight parameters were selected based on the factors that could affect the most, like Slope, Rainfall, Drainage Density, Lineament Density, Geomorphology, Soil, Geology, and Land use/Land cover. These layers were prepared using ArcGIS 10.8 software and ERDAS IMAGINE 2014. Based on the output, the region was classified into five zones of landslide susceptibility classes. Of these, the high-very-high landslides are mostly amassed near the steep and disturbed slopes due to earth-cutting, especially for building or construction of roads. Validation was done using the ROC curve (73.2%) suggesting good performance of the model. The outcome of this work will provide information for proper landslide hazard management and will help in formulating suitable mitigation strategies in the future.
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