Estimating the effects of heavy rainfall conditions on shallow landslides using a distributed landslide conceptual model

Shuin, Yasuhiro; Hotta, Norifumi; Suzuki, Masatoshi; Ogawa, Ki ichiro

doi:10.1016/j.pce.2011.06.002

Cited by 24 publications

(10 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mountainous areas all over the world are subjected to heavy rainfall in the wet season [8,9]. During rainfall events, rainwater infiltrates into the pores of the soil, increasing the water content of the soil in the dry zone (above the groundwater table and near the surface), which becomes a wetting zone or transient saturated zone [10][11][12][13]. Water that infiltrates into the soil increases the shear stress and the pore water pressure of the soil.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Effect of Soil Hydraulic Conductivity Anisotropy on Slope Stability Using a Coupled Hydromechanical Framework

Yeh

Tsai

2018

Water

View full text Add to dashboard Cite

In studies on the effect of rainfall on slope stability, soil hydraulic conductivity is usually assumed to be isotropic to simplify the analysis. In the present study, a coupled hydromechanical framework based on transient seepage analysis and slope stability analysis is used to investigate the effects of hydraulic conductivity anisotropy on rainfall infiltration and slope safety at various slope locations (the top of the slope, the slope itself and the toe of the slope). The results show that when the vertical hydraulic conductivity (K y) is constant, the horizontal hydraulic conductivity (K x) increases (i.e., anisotropy increases). This occurs because rainfall tends to infiltrate into the interior of the slope, resulting in the soil on top of the slope and on the slope itself being easily influenced by rainfall, leading to soil instability. The change of rainfall infiltration at the slope itself is the most significant. When the anisotropic ratio K r (=K x /K y) increased from 1 to 100, the depth of the wetting zones for loam, silt and clay slopes increased by 23.3%, 33.3% and 50%, respectively. However, increased K r led to a slower infiltration rate in the vertical direction at the toe of the slope. Compared to the results for K r = 1 and for K r = 100, the thickness of the wetting zones at the toe of loam and silt slopes decreased by 23.3% and 30.0%, respectively. For the clay slope, K r changes did not significantly affect the wetting zones because of poor permeability. The results of this study suggest that the effect of soil hydraulic conductivity anisotropy should be considered when estimating slope stability to better understand the effect of rainfall on slopes.

show abstract

Section: Introductionmentioning

confidence: 99%

Analyzing the Effect of Soil Hydraulic Conductivity Anisotropy on Slope Stability Using a Coupled Hydromechanical Framework

Yeh

Tsai

2018

Water

View full text Add to dashboard Cite

show abstract

“…Hydrological models can be integrated with slope stability analysis methods to calculate the factor of safety and predict the time and magnitude of landslides (Crosta and Frattini, 2008;Shuin et al, 2012;Aleotti and Chowdhury, 1999;Westen et al, 2006). Combined hydro-mechanical models can roughly be divided into two types: simplified conceptual models (Montrasio and Valentino, 2008;Dai et al, 2002) and numerical models (Stead et al, 2001;Jing, 2003;Brinkgreve et al, 2010;Pastor et al, 2008), and have different levels of complexity depending on the scale and the research purpose.…”

Section: Introductionmentioning

confidence: 99%

“…The limit equilibrium method or infinite slope stability approach is frequently integrated with Richards' equation (Lanni et al, 2013;Ng and Shi, 1998;Godt et al, 2008;Shuin et al, 2012;Wilkinson et al, 2002;Talebi et al, 2008;Greco et al, 2013) or conceptual models (Arnone et al, 2011;Simoni et al, 2008;Qiu et al, 2007) for landslide hazard evaluation. The limit equilibrium method and infinite slope approach assume or search for a potential failure surface.…”

Section: Introductionmentioning

confidence: 99%

Quantification of the influence of preferential flow on slope stability using a numerical modelling approach

Shao

Bogaard

Bakker

et al. 2015

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. The effect of preferential flow on the stability of landslides is studied through numerical simulation of two types of rainfall events on a hypothetical hillslope. A model is developed that consists of two parts. The first part is a model for combined saturated/unsaturated subsurface flow and is used to compute the spatial and temporal water pressure response to rainfall. Preferential flow is simulated with a dual-permeability continuum model consisting of a matrix domain coupled to a preferential flow domain. The second part is a soil mechanics model and is used to compute the spatial and temporal distribution of the local factor of safety based on the water pressure distribution computed with the subsurface flow model. Two types of rainfall events were considered: long-duration, low-intensity rainfall, and shortduration, high-intensity rainfall. The effect of preferential flow on slope stability is assessed through comparison of the failure area when subsurface flow is simulated with the dualpermeability model as compared to a single-permeability model (no preferential flow). For the low-intensity rainfall case, preferential flow has a positive effect on drainage of the hillslope resulting in a smaller failure area. For the highintensity rainfall case, preferential flow has a negative effect on the slope stability as the majority of rainfall infiltrates into the preferential flow domain when rainfall intensity exceeds the infiltration capacity of the matrix domain, resulting in larger water pressure and a larger failure area.

show abstract

“…Both empirical models (e.g., Au, 1993;Aleotti, 2004;Lee et al, 2013) and physically-based models (e.g., Montgomery and Dietrich, 1994;Wu and Sidle, 1995;Dietrich and Montgomery, 1998;Crosta and Frattini, 2003;Zhou et al, 2003;Frattini et al, 2004;Baum et al, 2008;Godt et al, 2008;Arnone et al, 2011;Shuin et al, 2012;Park et al, 2013;Chen and Zhang, 2014) have been proposed to predict space and time for rainfall-induced slope failures in regional scale. Both empirical models (e.g., Au, 1993;Aleotti, 2004;Lee et al, 2013) and physically-based models (e.g., Montgomery and Dietrich, 1994;Wu and Sidle, 1995;Dietrich and Montgomery, 1998;Crosta and Frattini, 2003;Zhou et al, 2003;Frattini et al, 2004;Baum et al, 2008;Godt et al, 2008;Arnone et al, 2011;Shuin et al, 2012;Park et al, 2013;Chen and Zhang, 2014) have been proposed to predict space and time for rainfall-induced slope failures in regional scale.…”

Section: Spatially Distributed Model Of Hazard Assessment Of Rainfallmentioning

confidence: 99%

Stability Analysis of Slope under Rainfall Infiltration Based on Limit Equilibrium

2016

Rainfall-Induced Soil Slope Failure

View full text Add to dashboard Cite

Estimating the effects of heavy rainfall conditions on shallow landslides using a distributed landslide conceptual model

Cited by 24 publications

References 21 publications

Analyzing the Effect of Soil Hydraulic Conductivity Anisotropy on Slope Stability Using a Coupled Hydromechanical Framework

Analyzing the Effect of Soil Hydraulic Conductivity Anisotropy on Slope Stability Using a Coupled Hydromechanical Framework

Quantification of the influence of preferential flow on slope stability using a numerical modelling approach

Stability Analysis of Slope under Rainfall Infiltration Based on Limit Equilibrium

Contact Info

Product

Resources

About