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COMPARISION OF INFORMATION VALUE AND WEIGHT OF EVIDENCE MODELS IN LANDSLIDE HAZARD ASSESSMENT IN CHURE REGION: A CASE FROM SURKHET
Radhika Maharjan

Last modified: 2017-08-28

Abstract


ABSTRACT

Landslides are the main natural hazard in Nepal due to its geological condition, continuous mountain forming process and diverse topography. Huge loss of lives and property due to landslides and flood is high in case of Nepal. Every year Nepal is facing problem related to landslide usually during monsoon season. Landslide hazard mapping is essential for the zonation of hazard prone areas. The landslide hazard maps are very useful for planning, development, and disaster management.  In this study, the weights-of-evidence and information value methods were applied, within a geographical information system (GIS), to derive landslide hazard map of the Siwalik region of Nepal. Chhinchu watershed which lies in Surkhet district and also lies in Siwalik region of Nepal was taken as site for the hazard mapping and analysis. The main purposes of this study are to evaluate the predictive power of weights-of-evidence and information value methods for the landslide hazard assessment Siwalik region of Nepal and to illustrate relation between landslides and its triggering factors. Relevant thematic maps representing various factors (e.g. slope, aspect, elevation, plan and profile curvature, land use, geology and average rainfall from 1980-2016) that are related to landslide activity were generated using field data and GIS techniques. In order to validate the prediction model, landslides were overlaid over the landslide hazard maps and the areas of landslides that fall into each hazard class were calculated. The resulted landslide hazard value calculated from landslides data showed nearly 80% prediction accuracy by weight of evidence and only 65% prediction accuracy by information value method. The weights-of-evidence methods seem to have extensive applicability in Siwalik region of Nepal than information value method using these eight causative factors. And landslides triggering factors such as slope, aspect, land use, geology and rainfall had played significant role in causing landslides in Siwalik region.

 

Keywords: GIS, Hazard map, Information value, Landslides, Nepal, Rainfall, Siwalik region, Weight of evidence


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