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http://dx.doi.org/10.7848/ksgpc.2012.30.3.313

Landslide Risk Assessment in Inje Using Logistic Regression Model  

Lee, Hwan-Gil (강릉원주대학교 토목공학과)
Kim, Gi-Hong (강릉원주대학교 토목공학과)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.30, no.3, 2012 , pp. 313-321 More about this Journal
Abstract
Korea has been continuously affected by landslides, as 70% of the land is covered by mountains and most of annual rainfall concentrates between June and September. Recently, abrupt climate change affects the increase of landslide occurrence. Gangwon region is especially suffered by landslide damages, because the most of the part is mountainous, steep, and having shallow soil. In this study, a landslide risk assessment model was developed by applying logistic regression to the various data of Duksan-ri, Inje-eup, Inje-gun, Gangwon-do, which has suffered massive landslide triggered by heavy rain in July 2006. The information collected from field investigation and aerial photos right after the landslide of study area were stored in GIS DB for analysis. Slope gradient entered in two ways-as categorical variable and as linear variable. Error matrix for each case was made, and developed model showed the classification accuracy of 81.4% and 81.9%, respectively.
Keywords
landslide; logistic regression; GIS; Inje-gun;
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