Determination of Failure Mechanism of Slope Calibration Chamber Tests Using Rainfall Simulation (I)

Jeong, Ji-Su; Jung, Chun-Gyo; Lee, Jong-In; Lee, Seongho

doi:10.7843/kgs.2011.27.2.027

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…Existing studies of the relationships between rainfall and landslides include predictions of landslide events, intensity and duration of rainfall, establishment of critical values through cumulative rainfall analysis, and rainfall-based GIS predictions (Caine, 1980;Crozier, 1995Crozier, , 1999Aleotti, 2004;Chae and Seo, 2010;Jang et al, 2010). Additionally, to compensate for insufficient observational data in (Wang and Sassa, 2001;Okura et al, 2002;Chae et al, 2006;Sagong et al, 2006;Jeong et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Development of a Method for Detecting Unstable Behaviors in Flume Tests using a Univariate Statistical Approach

Kim¹,

Seo²,

Kim³

et al. 2014

The Journal of Engineering Geology

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We describe a method for detecting slope instability in flume tests using pore pressure and water content data in conjunction with a statistical control chart analysis. Specifically, we conducted univariate statistical analysis on x-MR control chart data (pore pressure and water content) collected at several points along the flume slope, which we separated into three parts: upper, middle, and lower. To assess our results in the context of landslide forecasting and warning systems, we applied control limit lines at 1σ, 2σ, and 3σ levels of uncertainty. In doing so, we observed that dispersion time varies depending on the control limit line used. Moreover, the detection of instabilities is highly dependent on the position and type of sensor. Our findings indicate that different characteristics of the data on various factors predict slope failure differently and these characteristics can be identified by univariate statistical analysis. Therefore, we suggest that a univariate statistical approach is an effective method for the early detection of slope instability.

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Section: Introductionmentioning

confidence: 99%

Development of a Method for Detecting Unstable Behaviors in Flume Tests using a Univariate Statistical Approach

Kim¹,

Seo²,

Kim³

et al. 2014

The Journal of Engineering Geology

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Effect of Rainfall Intensity, Soil Slope and Geology on Soil Erosion

Nam¹,

Lee²,

Chung³

et al. 2014

The Journal of Engineering Geology

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This study aims to elucidate the relative importance of geological characteristics, soil slope, and rainfall intensity in relation to soil erosion. To this end, indoor rainfall simulation experiments were carried out under different conditions of rainfall intensities, soil slope, and geological characteristics. The test results show that the factors affect soil erosion in the order of soil slope > rainfall intensity > organic content in the soil. Erosion rates were proportional to rainfall, and increase with increasing clay content. Therefore, the soil erosion rate increases strongly with increasing organic content and clay content. The results show that the soil erosion rate in areas of metamorphic rocks shows a marked increase compared with areas of steep slope and sedimentary rocks. These results indicate that the geological characteristics to produce soil are closely related to sedimentation before and after erosion, providing basic information for the development of models to predict soil erosion rates.

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Characteristics of Debris Sedimentation by Drainage According to Rainfall Intensity of Duration Times

송

이

et al. 2017

Korean Soc Hazard Mitig

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Determination of Failure Mechanism of Slope Calibration Chamber Tests Using Rainfall Simulation (I)

Cited by 3 publications

References 2 publications

Development of a Method for Detecting Unstable Behaviors in Flume Tests using a Univariate Statistical Approach

Development of a Method for Detecting Unstable Behaviors in Flume Tests using a Univariate Statistical Approach

Effect of Rainfall Intensity, Soil Slope and Geology on Soil Erosion

Characteristics of Debris Sedimentation by Drainage According to Rainfall Intensity of Duration Times

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