Preprints
https://doi.org/10.5194/nhessd-3-227-2015
https://doi.org/10.5194/nhessd-3-227-2015
07 Jan 2015
 | 07 Jan 2015
Status: this preprint was under review for the journal NHESS but the revision was not accepted.

Improvement of shallow landslide prediction accuracy using soil parameterisation for a granite area in South Korea

M. S. Kim, Y. Onda, and J. K. Kim

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.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
M. S. Kim, Y. Onda, and J. K. Kim
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
M. S. Kim, Y. Onda, and J. K. Kim
M. S. Kim, Y. Onda, and J. K. Kim

Viewed

Total article views: 1,318 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
912 332 74 1,318 87 101
  • HTML: 912
  • PDF: 332
  • XML: 74
  • Total: 1,318
  • BibTeX: 87
  • EndNote: 101
Views and downloads (calculated since 07 Jan 2015)
Cumulative views and downloads (calculated since 07 Jan 2015)

Cited

Saved

Latest update: 09 Nov 2024
Download
Short summary
The accuracy of shallow landslide prediction based on SHALSTAB model varying the input soil data was examined. Soil parameters calculated from a stochastic hydro-geomorphological model were applied to the SHALSTAB model. Results showed that the use of soil properties reflecting soil thickness can improve the accuracy of shallow landslide prediction.
Altmetrics