Downie Slide: numerical simulation of groundwater fluctuations influencing the behaviour of a massive landslide

Kalenchuk, K. S.; Hutchinson, D. Jean; Diederichs, Mark S.

doi:10.1007/s10064-013-0484-5

Cited by 14 publications

(9 citation statements)

References 9 publications

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“…These studies were carried out based on: (i) post-failure in deposits of colluvial, weathered and pyroclastic origin [ 118 ]; (ii) simulation of the probability of occurrence in hydrographic basins using GEOtop-FS [ 117 ]; (iii) the quantification of morphology and hydrological conditions [ 165 ]; and (iv) an evaluation of susceptibility and slope stability for landslide prevention [ 166 ]. Other studies reflect the slope instability that can cause significant hazards, mainly influenced by the deposit type, the rapid flows generated by seismic movements [ 167 , 168 , 169 ], large-scale deforestation [ 170 ], groundwater fluctuation, and different triggering scenarios [ 132 , 171 ].…”

Section: Resultsmentioning

confidence: 99%

Worldwide Research Trends in Landslide Science

Carrión-Mero

Montalván-Burbano

Morante-Carballo

et al. 2021

IJERPH

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Landslides are generated by natural causes and by human action, causing various geomorphological changes as well as physical and socioeconomic loss of the environment and human life. The study, characterization and implementation of techniques are essential to reduce land vulnerability, different socioeconomic sector susceptibility and actions to guarantee better slope stability with a significant positive impact on society. The aim of this work is the bibliometric analysis of the different types of landslides that the United States Geological Survey (USGS) emphasizes, through the SCOPUS database and the VOSviewer software, for the analysis of their structure, scientific production, and the close relationship with several scientific fields and its trends. The methodology focuses on: (i) search criteria; (ii) data extraction and cleaning; (iii) generation of graphs and bibliometric mapping; and (iv) analysis of results and possible trends. The study and analysis of landslides are in a period of exponential growth, focusing mainly on techniques and solutions for the stabilization, prevention, and categorization of the most susceptible hillslope sectors. Therefore, this research field has the full collaboration of various authors and places a significant focus on the conceptual evolution of the landslide science.

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Section: Resultsmentioning

confidence: 99%

Worldwide Research Trends in Landslide Science

Carrión-Mero

Montalván-Burbano

Morante-Carballo

et al. 2021

IJERPH

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“…methods and limit equilibrium methods [52]. In this paper, the limit equilibrium analysis was carried out with the widely used Morgenstern-Price method [53].…”

Section: The Results Of Uncertainty Estimationmentioning

confidence: 99%

Uncertainty of the Soil–Water Characteristic Curve and Its Effects on Slope Seepage and Stability Analysis under Conditions of Rainfall Using the Markov Chain Monte Carlo Method

Liu

Luo

Huang

et al. 2017

Water

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Abstract:It is important to determine the soil-water characteristic curve (SWCC) for analyzing slope seepage and stability under the conditions of rainfall. However, SWCCs exhibit high uncertainty because of complex influencing factors, which has not been previously considered in slope seepage and stability analysis under conditions of rainfall. This study aimed to evaluate the uncertainty of the SWCC and its effects on the seepage and stability analysis of an unsaturated soil slope under conditions of rainfall. The SWCC model parameters were treated as random variables. An uncertainty evaluation of the parameters was conducted based on the Bayesian approach and the Markov chain Monte Carlo (MCMC) method. Observed data from granite residual soil were used to test the uncertainty of the SWCC. Then, different confidence intervals for the model parameters of the SWCC were constructed. The slope seepage and stability analysis under conditions of rainfall with the SWCC of different confidence intervals was investigated using finite element software (SEEP/W and SLOPE/W). The results demonstrated that SWCC uncertainty had significant effects on slope seepage and stability. In general, the larger the percentile value, the greater the reduction of negative pore-water pressure in the soil layer and the lower the safety factor of the slope. Uncertainties in the model parameters of the SWCC can lead to obvious errors in predicted pore-water pressure profiles and the estimated safety factor of the slope under conditions of rainfall.

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“…The current methods used to calculate the landslide stability coefficient considering the matrix suction generally include strength reduction methods and limiting equilibrium methods [36]. Limiting equilibrium methods are widely used and mainly include the Swedish circle method [37], Bishop method [38], Residual thrust method [39] and the Morgenstern-Price (M-P) method [40].…”

Section: Calculation Theory Of the Stability Coefficientmentioning

confidence: 99%

Stability Analysis of Hydrodynamic Pressure Landslides with Different Permeability Coefficients Affected by Reservoir Water Level Fluctuations and Rainstorms

Huang

Luo

Liu

2017

Water

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Abstract:It is significant to study the variations in the stability coefficients of hydrodynamic pressure landslides with different permeability coefficients affected by reservoir water level fluctuations and rainstorms. The Sifangbei landslide in Three Gorges Reservoir area is used as case study. Its stability coefficients are simulated based on saturated-unsaturated seepage theory and finite element analysis. The operating conditions of stability coefficients calculation are reservoir water level variations between 175 m and 145 m, different rates of reservoir water level fluctuations, and a three-day continuous rainstorm. Results show that the stability coefficient of the hydrodynamic pressure landslide decreases with the drawdown of the reservoir water level, and a rapid drawdown rate leads to a small stability coefficient when the permeability coefficient ranges from 1.16 × 10 −6 m/s to 4.64 × 10 −5 m/s. Additionally, the landslide stability coefficient increases as the reservoir water level increases, and a rapid increase in the water level leads to a high stability coefficient when the permeability coefficient ranges from 1.16 × 10 −6 m/s to 4.64 × 10 −5 m/s. The landslide stability coefficient initially decreases and then increases as the reservoir water level declines when the permeability coefficient is greater than 4.64 × 10 −5 m/s. Moreover, for structures with the same landslide, the landslide stability coefficient is most sensitive to the change in the rate of reservoir water level drawdown when the permeability coefficient increases from 1.16 × 10 −6 m/s to 1.16 × 10 −4 m/s. Additionally, the rate of decrease in the stability coefficient increases as the permeability coefficient increases. Finally, the three-day rainstorm leads to a significant reduction in landslide stability, and the rate of decrease in the stability coefficient initially increases and then decreases as the permeability coefficient increases.

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Downie Slide: numerical simulation of groundwater fluctuations influencing the behaviour of a massive landslide

Cited by 14 publications

References 9 publications

Worldwide Research Trends in Landslide Science

Worldwide Research Trends in Landslide Science

Uncertainty of the Soil–Water Characteristic Curve and Its Effects on Slope Seepage and Stability Analysis under Conditions of Rainfall Using the Markov Chain Monte Carlo Method

Stability Analysis of Hydrodynamic Pressure Landslides with Different Permeability Coefficients Affected by Reservoir Water Level Fluctuations and Rainstorms

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