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http://dx.doi.org/10.9720/kseg.2015.3.331

Prediction of Rainfall-Induced Slope Failure Using Hotelling's T-Square Statistic  

Kim, Seul-Bi (Dept. of Earth & Environmental Sciences, Chungbuk National University)
Na, Jong-Hwa (Dept. of Information Statistics, Chungbuk National University)
Seo, Yong-Seok (Dept. of Earth & Environmental Sciences, Chungbuk National University)
Publication Information
The Journal of Engineering Geology / v.25, no.3, 2015 , pp. 331-337 More about this Journal
Abstract
A new technique is presented to detect unstable slope behavior, based on Hotelling's T2 analysis of pore pressure and water content obtained during flume tests using granitic and gneissic weathered soils. Three sets of pore pressure-water content values were simultaneously obtained during each test, and T2 statistics at the 90.0% and 95.0% confidence levels were calculated based on the correlations between values. The results show that unsuccessful detection of some local failures of the flume slope depended on the sensor position. In the case of global slope failures, anomalous behavior was detected between several hundred and several thousand seconds before the event as T2 statistics exceeded the confidence interval 90%. Hotelling's T2 analysis provides a single control criterion because it enables correlations between diverse measured values within the same slope; the criterion also includes stepwise criteria for a forecasting and warning system based on confidence levels.
Keywords
flume test; rainfall; pore pressure; water content; Hotelling's T2 statistic;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
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1 Ahn, S. J., 2012, Statistical quality control: MINITAB, Freeacademy, 331-333.
2 Brand, E. W., 1981, Some thoughts on rain-induced slope failures, In Proceedings of the 10th International Conference on Soil Mechanics and Foundation Engineering, Stockholm, 3, 373-376.
3 Kim, S. B., Seo, Y. S., Kim, H. S., Chae, B. G., Choi, J. H., and Kim, J. S., 2014, Development of a method for detecting unstable behaviors in flume tests using a univariate statistical approach, The Journal of Engineering Geology, 24(2), 191-199.   DOI
4 Caine, N., 1980, Rainfall intensity-duration control of shallow landslides and debris flows, Geografiska Annaler Series A, Physical Geography, 62(1/2), 23-27.
5 Collins, B. D. and Znidarcic, D., 2004, Stability analyses of rainfall induced landslides, Journal of Geotechnical and Geoenvironmental Engineering, 130(4), 362-372.   DOI
6 Kim, M. I. and Nishigaki, M., 2006, Slope failure predicting method using the monitoring of volumetric water content in soil slope, The Journal of Engineering Geology, 16(2), 135-143.
7 Yoshida, Y., Kuwano, J., and Kuwano R., 1991, Raininduced slope failures caused by reduction in soil strength, Soils and Foundations, 31(4), 187-193.   DOI
8 Oh, J. R. and Park, H. J., 2014, Analysis of landslide triggering rainfall threshold for prediction of landslide occurrence, Journal of Korean Society Hazard Mitigation, 14(2), 115-129 (in Korean with English abstract).   DOI
9 Reid, M. E., 1994, A pore-pressure diffusion model for estimating landslide-inducing rainfall, The Journal of Geology, 102(6), 709-717.   DOI
10 Wieczorek, G. F., 1996, Landslide triggering mechanisms, in Turner, A. K., and Schuster, R. L.(eds), Landslides: Investigations and Mitigation: Transportation Research Board, Special Report 247, Washington, D.C., USA, 76-90.
11 Crosta G. B. and Frattini P., 2008, Rainfall induced landslides and debris flows, Hydrological Processes, 22(4), 473-477.   DOI
12 Crozier, M. J., 1986, Landslides: causes, consequences and environment, Journal of the Royal Society of New Zealand, 18(3), 343p.   DOI
13 Hong, W. P., Kim, W. Y., Song, Y. S., and Lim, S. G., 2004, Prediction of landslide using artificial neural network model, Journal of the Korean Geotechnical Society, 20(8), 67-75 (in Korean with English abstract).
14 Huang, C. C. and Yuin, S. C., 2010, Experimental investigation of rainfall criteria for shallow slope failures, Geomorphology, 120(3), 326-338.   DOI
15 Kang, I. J., Chang, Y. K., and Kwak, J. H., 1993, Forecasting of landslides using geographic information system, Journal of the Korean Society of Surveying,Geodesy, Photogrammetry and Cartography, 11(2), 53- 58.
16 Kim, M. I. and Jeong, G. C., 2008, Characterization of physical factor of unsaturated ground deformation induced by rainfall, The Journal of Engineering Geology, 18(2), 117-126 (in Korean with English abstract).
17 Kim, W. Y., Chae, B. G., Kim, J. S., Cho, Y. C., Choi, Y. S., Lee, C. O., Lee, C. W., and Kim, G. Y., 2003, Prediction and mitigation of landslide hazards, Report of Ministry of science and technology, 18-20 (in Korea).
18 Kourti, T. and MacGregor, J. F., 1995, Process analysis, monitoring and diagnosis, using multivariate projection methods, Chemometrics and Intelligent Laboratory System, 28, 3-21.   DOI
19 Lee, S. W., Kim, G. H., Yune, C. Y., Ryu, H. J., and Hong, S. J., 2012, Development of landslide-risk prediction model thorough database construction, Journal of the Korean Geotechnical Society, 28(4), 23-33 (in Korean with English abstract).   DOI
20 Lee, K. I., Chang, Y. C., Kim, T. H., and Chung, Y. I., 2006, Stability Analysis of a slope in unsaturated weathered residual soil considering the rainfall characteristics, Journal of the Korean Geotechnical Society, 7(2), 5-14 (in Korean with English abstract).
21 Meilani, I., Rahardjo, H., and Leong, E. C., 2005, Porewater pressure and water volume change of an unsaturated soil under infiltration conditions, Candian Geo-Technical Journal, 42(6), 1509-1531.   DOI
22 Yune, C. Y., Jun, K. J., Kim, K. S., Kim, G. H., and Lee, S. W., 2010, Analysis of slope hazard-triggering rainfall characteristics in Gangwon province by database construction, Journal of Korean Geotechnical Society, 26(10), 27-38 (in Korean with English abstract).