the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Improvement of shallow landslide prediction accuracy using soil parameterisation for a granite area in South Korea
Abstract. SHALSTAB model applied to shallow landslides induced by rainfall to evaluate soil properties related with the effect of soil depth for a granite area in Jinbu region, Republic of Korea. Soil depth measured by a knocking pole test and two soil parameters from direct shear test (a and b) as well as one soil parameters from a triaxial compression test (c) were collected to determine the input parameters for the model. Experimental soil data were used for the first simulation (Case I) and, soil data represented the effect of measured soil depth and average soil depth from soil data of Case I were used in the second (Case II) and third simulations (Case III), respectively. All simulations were analysed using receiver operating characteristic (ROC) analysis to determine the accuracy of prediction. ROC analysis results for first simulation showed the low ROC values under 0.75 may be due to the internal friction angle and particularly the cohesion value. Soil parameters calculated from a stochastic hydro-geomorphological model were applied to the SHALSTAB model. The accuracy of Case II and Case III using ROC analysis showed higher accuracy values rather than first simulation. Our results clearly demonstrate that the accuracy of shallow landslide prediction can be improved when soil parameters represented the effect of soil thickness.
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RC C35: 'Sensitivity of a shallow landslide model to soil thickness', Anonymous Referee #1, 10 Feb 2015
- AC C118: 'Reply to interactive comment by Anonymous Referee #1', Jin Kwan KIM, 04 Mar 2015
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RC C42: 'Review of: Kim et al., Improvement of shallow landslide prediction accuracy using soil parameterization for a granite area in South Korea', Dave Milledge, 11 Feb 2015
- AC C120: 'Reply to interactive comment by Dr. D. Milledge', Jin Kwan KIM, 04 Mar 2015
-
RC C35: 'Sensitivity of a shallow landslide model to soil thickness', Anonymous Referee #1, 10 Feb 2015
- AC C118: 'Reply to interactive comment by Anonymous Referee #1', Jin Kwan KIM, 04 Mar 2015
-
RC C42: 'Review of: Kim et al., Improvement of shallow landslide prediction accuracy using soil parameterization for a granite area in South Korea', Dave Milledge, 11 Feb 2015
- AC C120: 'Reply to interactive comment by Dr. D. Milledge', Jin Kwan KIM, 04 Mar 2015
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Cited
4 citations as recorded by crossref.
- Shallow Landslide Assessment Considering the Influence of Vegetation Cover T. Viet et al. 10.14481/jkges.2016.17.4.17
- Effect of Rainfall Patterns on the Response of Water Pressure and Slope Stability Within a Small Catchment: A Case Study in Jinbu-Myeon, South Korea T. Viet et al. 10.14481/jkges.2016.17.12.5
- Effect of topography and soil parameterisation representing soil thicknesses on shallow landslide modelling M. Kim et al. 10.1016/j.quaint.2015.03.057
- Modelling biome‐scale root reinforcement and slope stability T. Hales 10.1002/esp.4381