Quantification of uncertainties in soil–water characteristic curve associated with fitting parameters

Zhai, Qian; Rahardjo, Harianto

doi:10.1016/j.enggeo.2013.05.014

Cited by 52 publications

(28 citation statements)

References 14 publications

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“…이와 함께 SWCC의 모델에 관한 연구도 많이 이루어져 왔는데, 그중에서 특히 Brooks andCorey (1964), van Genuchten (1980), Ahuja et al (1985), Fredlund and Xing (1994), Kosugi (1996), Pedroso et al (2009) (Zhai and Rahardjo, 2013). 이외에도 Campbell model (1974), Hutson -Cass function (1987) 및 Cresswell and Paydar (1996)이 제시한 "Two-Point method"은 북방 아한대 토양의 SWCC (Cresswell and Lilly, 2015)등에 인용되고 있다.…”

Section: 따라서 토양물리 분야에서는 오래전부터 최근까지 Swccunclassified

Relative Sensitivity Analysis of the Soil Water Characteristics Curve

Eom¹

2015

Korean Journal of Soil Science and Fertilizer

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This study was conducted to develop the SWCC estimation equation using scaling technique, and to investigate relative sensitivity of the SWCC according to the soil water tension, for the four kinds of soil texture such as Sand [S] where, Θ: water content (g/g %), Θs: water content at 0.1bar, Θr: water content at 15bar, H: soil water tension (matric potential) (bar) Relative sensitivity of soil water content was decreased as increase soil water tension, those according to soil water tension were 0.952~0.620 compared to 0.1bar case. Relative sensitivity of scale factor was also decreased as increase soil water tension, those according to soil water tension were 0.890~0.577 compared to 0.2bar case.Key words: Soil Water Characteristics Curve (SWCC), Relative sensitivity, Scale factorThe measured and estimated value for the scaled SWCC using log function [Left] and exponential function [Right].

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Section: 따라서 토양물리 분야에서는 오래전부터 최근까지 Swccunclassified

Relative Sensitivity Analysis of the Soil Water Characteristics Curve

Eom¹

2015

Korean Journal of Soil Science and Fertilizer

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“…This is a model of three Figure 4. Zones of the soil water characteristic curve [46]. continuous parameters for the entire suction domain.…”

Section: Engineering and Mathematical Topics In Rainfallmentioning

confidence: 99%

Effect of the Rainfall Infiltration Processes on the Landslide Hazard Assessment of Unsaturated Soils in Tropical Mountainous Regions

Hidalgo¹,

Vega²,

ParraObando³

2018

Engineering and Mathematical Topics in Rainfall

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Natural disasters caused by meteorological phenomena are affecting countries of the world with increasing frequency, and they are producing severe damage to population and its infrastructure, hampering the economic development of the countries. The rainfallinduced landslides occur almost every year in all mountainous regions, and globally, 14% of economic losses and 0.53% of deaths from disasters caused by natural phenomena are attributed to landslides. For this reason, landslide risk assessment has become more applied in recent years. We present an assessment of the effect of rainfall infiltration on unsaturated soils on slope stability. Initially, a theoretical approach of the problem is presented, and a model of probabilistic analysis is described. Subsequently, an application of the model is carried out in an eastern zone of Medellin, Colombia. The probability of saturation and the landslide hazard are determined and validated considering the effect of a rainfall event registered in November 2010 that caused severe damages in the studied zone. The influence of infiltration under static scenario is evaluated using two different approaches, and the soil parameters for these evaluations are determined by field and laboratory tests. Finally, the effect of the rainfall infiltration processes on the landslide hazard assessment of evaluated unsaturated soils is determined.

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“…Phoon et al [17] used the four-term Hermite expansions to carry out an uncertainty analysis of the SWCC. Zhai and Rahardjo [18] developed equations for the confidence limits of the best-fitted SWCC to quantify the uncertainties. Uncertainty of the model parameters of the SWCC is usually represented by probability distributions reflecting the objective uncertainty of the parameters.…”

Section: Introductionmentioning

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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Quantification of uncertainties in soil–water characteristic curve associated with fitting parameters

Cited by 52 publications

References 14 publications

Relative Sensitivity Analysis of the Soil Water Characteristics Curve

Relative Sensitivity Analysis of the Soil Water Characteristics Curve

Effect of the Rainfall Infiltration Processes on the Landslide Hazard Assessment of Unsaturated Soils in Tropical Mountainous Regions

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

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