Uncertainty of rainfall-induced landslides considering spatial variability of parameters

Jing Sen Cai, Tian-Chyi J Yeh, E. Chuan Yan, Yong Hong Hao, Shao Yang Huang, Jet Chau Wen

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

A cross-correlation analysis is conducted to determine the impacts of the heterogeneity of hydraulic conductivity Ks, soil cohesion c′ and soil friction angle (tan φ′) on the uncertainty of slope stability in time and space during rainfall. We find the relative importance of tan φ′ and c′ depends on the effective stress. While the sensitivity of the stability to the variability of Ks is small, the large coefficient of variation of Ks may exacerbate the variability of pore-water pressure. Therefore, characterizing the heterogeneity of hydraulic properties and pore-water distribution in the field is critical to the stability analysis.

Original languageEnglish (US)
Pages (from-to)149-162
Number of pages14
JournalComputers and Geotechnics
Volume87
DOIs
StatePublished - Jul 1 2017

Fingerprint

Landslides
Rain
landslide
porewater
Soils
rainfall
Slope stability
Hydraulic conductivity
hydraulic property
effective stress
slope stability
cohesion
stability analysis
hydraulic conductivity
Water
friction
soil
Hydraulics
Friction
parameter

Keywords

  • Cross correlation
  • Hydraulic conductivity
  • Rainfall infiltration
  • Shear strength
  • Slope stability uncertainty
  • Spatial variability

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Computer Science Applications

Cite this

Uncertainty of rainfall-induced landslides considering spatial variability of parameters. / Cai, Jing Sen; Yeh, Tian-Chyi J; Yan, E. Chuan; Hao, Yong Hong; Huang, Shao Yang; Wen, Jet Chau.

In: Computers and Geotechnics, Vol. 87, 01.07.2017, p. 149-162.

Research output: Contribution to journalArticle

Cai, Jing Sen ; Yeh, Tian-Chyi J ; Yan, E. Chuan ; Hao, Yong Hong ; Huang, Shao Yang ; Wen, Jet Chau. / Uncertainty of rainfall-induced landslides considering spatial variability of parameters. In: Computers and Geotechnics. 2017 ; Vol. 87. pp. 149-162.
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