Spatial probabilistic modeling of slope failure using an integrated GIS Monte Carlo simulation approach

G. Zhou, T. Esaki, Y. Mitani, M. Xie, J. Mori

Research output: Contribution to journalArticle

149 Citations (Scopus)

Abstract

Spatial probabilistic modeling of slope failure using a combined Geographic Information System (GIS), infinite-slope stability model and Monte Carlo simulation approach is proposed and applied in the landslide-prone area of Sasebo city, southern Japan. A digital elevation model (DEM) for the study area has been created at a scale of 1/2500. Calculated results of slope angle and slope aspect derived from the DEM are discussed. Through the spatial interpolation of the identified stream network, the thickness distribution of the colluvium above Tertiary strata is determined with precision. Finally, by integrating an infinite-slope stability model and Monte Carlo simulation with GIS, and applying spatial processing, a slope failure probability distribution map is obtained for the case of both low and high water levels.

Original languageEnglish
Pages (from-to)373-386
Number of pages14
JournalEngineering Geology
Volume68
Issue number3-4
DOIs
Publication statusPublished - Mar 1 2003

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Geology

Fingerprint Dive into the research topics of 'Spatial probabilistic modeling of slope failure using an integrated GIS Monte Carlo simulation approach'. Together they form a unique fingerprint.

  • Cite this