Deformation characteristics of unstable shallow slopes triggered by rainfall infiltration

Yang, Kuo-Hsin; Nguyen, Thanh Son; Rahardjo, Harianto; Lin, Der‐Guey

doi:10.1007/s10064-020-01942-4

Cited by 28 publications

(22 citation statements)

References 96 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Table 1 presents the mechanical properties of the input soil used in the MPM simulation. The soil properties of the Sakuragawa River sand were selected on the basis of those reported by Moriwaki et al [33], Ghasemi et al [37], and Yang et al [38]. Sand behavior was analyzed using the elastic-perfectly plastic model.…”

Section: Modelmentioning

confidence: 99%

“…A shallow slope with a 3 m thick residual soil layer on top of the impermeable rock layer, a length of 90 m, and an incline of 30°(Figure 6) was adopted in this study to evaluate the influence of soil parameters and groundwater level on the postfailure characterization and kinematic behavior of shallow landslides. The slope model and input soil properties were designed according to the statistical data reported in a companion paper by Yang et al [38]. In this study, the soil properties, the thickness of the residual soil, and slope angle used in this study were statistically determined from a large soil database (i.e., 57 soil types) compiled from 35 landslide case histories of the literature (see Table 6 in Yang et al [38]).…”

Section: Numerical Model and Inputsmentioning

confidence: 99%

“…The slope model and input soil properties were designed according to the statistical data reported in a companion paper by Yang et al [38]. In this study, the soil properties, the thickness of the residual soil, and slope angle used in this study were statistically determined from a large soil database (i.e., 57 soil types) compiled from 35 landslide case histories of the literature (see Table 6 in Yang et al [38]). The datasets cover a wide range of soil types, including residual weathered soils and transported colluvium deposits worldwide.…”

Section: Numerical Model and Inputsmentioning

confidence: 99%

“…The numerical analyses were performed in two series: a baseline case and a parametric study. For the baseline case, the input soil properties listed in Table 2 were obtained based on the mean soil property values from a previously compiled dataset of 35 landslide case histories in the literature [38]. A low soil cohesion value (i.e., c ′ = 1 kPa) was selected for the baseline case for a better observation of the postfailure behavior of landslide.…”

Section: Numerical Model and Inputsmentioning

confidence: 99%

“…In total, 11 cases of numerical simulations were performed in this study (Table 3). The soil property values within one standard deviation (SD) of the mean (μ ± SD) from the landslide database [38] were selected in the parametric study. If μ − SD was negative or unreasonable, the minimum value of the parameter from the landslide database was used as the lower bound.…”

Section: Numerical Model and Inputsmentioning

confidence: 99%

See 4 more Smart Citations

Postfailure Characterization of Shallow Landslides Using the Material Point Method

Nguyen

Yang

et al. 2021

Geofluids

Self Cite

View full text Add to dashboard Cite

Although the mechanisms of slope failure caused by rising groundwater have been widely investigated, the kinematic behavior of landslides in the postfailure stage, which contains essential information for hazard mitigation and risk assessment, has not yet been fully studied. Thus, in this study, a series of numerical simulations using the material point method (MPM) were conducted to analyze the kinematic behavior and soil movement of shallow landslides (infinite slope problems). First, the proposed MPM formulation was validated in a full-scale landslide flume test. The simulated results of final slope profile, runout distance, deposit height, shear band development, slope displacement, and velocity accorded with the experimental results, suggesting that the MPM can quantitatively simulate large deformations. A parametric study of shallow slopes with various hydrological conditions and soil hydraulic and soil mechanical parameters was then performed to assess the influence of the aforementioned factors on landslide kinematics. The simulation results indicated that mechanical behavior at the slope toe is complex; the multiple plastic shear bands generated at the slope toe were due to a combination of shearing and compression. The deposition profile of the slopes was significantly influenced by all input parameters. Among the aforementioned parameters, soil cohesion, location of the groundwater table, and saturated soil permeability most greatly affected runout distance in the sensitivity assessment. Soil friction angle had a minor influence on the kinematic behavior of the slope.

show abstract

Section: Modelmentioning

confidence: 99%

Section: Numerical Model and Inputsmentioning

confidence: 99%

Section: Numerical Model and Inputsmentioning

confidence: 99%

Section: Numerical Model and Inputsmentioning

confidence: 99%

Section: Numerical Model and Inputsmentioning

confidence: 99%

See 3 more Smart Citations

Postfailure Characterization of Shallow Landslides Using the Material Point Method

Nguyen

Yang

et al. 2021

Geofluids

Self Cite

View full text Add to dashboard Cite

show abstract

Establishing Thresholds for Rainfall‐Induced Shallow Landslides Using Fully Coupled Hydro-Mechanical Model

Nguyen

Pham

Nguyen

et al. 2021

Lecture Notes in Civil Engineering

View full text Add to dashboard Cite

Temporal prediction of shallow landslides exploiting soil saturation degree derived by ERA5-Land products

Bordoni

Vivaldi

Ciabatta

et al. 2023

Bull Eng Geol Environ

View full text Add to dashboard Cite

ERA5-Land service has been released recently as an integral and operational component of Copernicus Climate Change Service. Within its set of climatological and atmospheric parameters, it provides soil moisture estimates at different soil depths, represeting an important tool for retrieving saturation degree for predicting natural hazards as shallow landslides. This paper represents an innovative attempt aiming to exploit the use of saturation degree derived from ERA5-Land soil moisture products in a data-driven model to predict the daily probability of occurence of shallow landslides. The study was carried out by investigating a multi-temporal inventory of shallow landslides occurred in Oltrepò Pavese (northern Italy). The achieved results follow: (i) ERA5-Land-derived saturation degree reconstructs well field trends measured in the study area until 1 m from ground; (ii) in agreement with the typical sliding surfaces depth, saturation degree values obtained since ERA5-Land 28–100 cm layer represent a significant predictor for the estimation of temporal probability of occurrence of shallow landslides, able especially to reduce overestimation of triggering events; (iii) saturation degree estimated by ERA5-Land 28–100 cm layer allows to detect soil hydrological conditions leading to triggering in the study area, represented by saturation degree in this layer close to complete saturation. Even if other works of research are required in different geological and geomorphological settings, this study demonstrates that ERA5-Land-derived saturation degree could be implemented to identify triggering conditions and to develop prediction methods of shallow landslides, thanks also to its free availability and constantly updating with a delay of 5 days.

show abstract

Deformation characteristics of unstable shallow slopes triggered by rainfall infiltration

Cited by 28 publications

References 96 publications

Postfailure Characterization of Shallow Landslides Using the Material Point Method

Postfailure Characterization of Shallow Landslides Using the Material Point Method

Establishing Thresholds for Rainfall‐Induced Shallow Landslides Using Fully Coupled Hydro-Mechanical Model

Temporal prediction of shallow landslides exploiting soil saturation degree derived by ERA5-Land products

Contact Info

Product

Resources

About