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http://dx.doi.org/10.9719/EEG.2014.47.1.49

Assessment of Landslide Susceptibility of Physically Based Model Considering Characteristics of the Unsaturated Soil  

Kim, Jin Seok (Dept. of Geoinformation Engineering, Sejong University)
Park, Hyuck Jin (Dept. of Geoinformation Engineering, Sejong University)
Publication Information
Economic and Environmental Geology / v.47, no.1, 2014 , pp. 49-59 More about this Journal
Abstract
Rainfall-induced landslides are caused by reduction of effective stress and shear strength due to rainfall infiltration. In order to analyze the susceptibility of landslides, the statistical analysis approach has been used widely but this approach has the limitation which cannot take into account of landslide triggering mechanism. Therefore, the physically based model which can consider the process of landslide occurrence was proposed and commonly used. However, the most previous physically based model analyses evaluate and consider the strength characteristics for saturated soil only in the susceptibility analysis. But the strength parameters for unsaturated soil such as matric suction should be considered with the strength parameters for saturated soil since the shear strength in unsaturated soil also plays important role in the stability of slope. Consequently this study suggested the modified physically based slope model which can evaluate strength characteristics for both of saturated and unsaturated soils. In addition, this study evaluated the thickness of saturated part in slope with rainfall intensity and hydraulic characteristics of slope on the basis of physically based model. In order to evaluate the feasibility, the proposed model was applied to practical example in Jinbu area, Gangwon-do, which was experienced large amount of landslides in July 2006. The ROC graph analysis was used to evaluate the validation of the model, and the analysis results were compared with the results of the previous analysis approach.
Keywords
unsaturated soil; physically based model; rainfall intensity; Geographic Information System(GIS); ROC analysis;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
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