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JDR Vol.5 No.3 pp. 296-306
(2010)
doi: 10.20965/jdr.2010.p0296

Paper:

A Prediction Method for Slope Failure by Means of Monitoring of Water Content in Slope-Soil Layer

Masaharu Fujita*, Seitaro Ohshio**, and Daizo Tsutsumi*

*Disaster Prevention Research Institute, Kyoto University, Yokoohji, Fushimiku, Kyoto 612-8235, Japan

**West Japan Railway Company, 2-4-24 Shibata, Kitaku, Osaka 530-8341, Japan

Received:
February 20, 2010
Accepted:
May 11, 2010
Published:
June 1, 2010
Keywords:
slope failure, sediment disaster, water content, evacuation system, warning system
Abstract

Slope failure is generally predicted based on rainfall data. For example, a critical line for slope failure in an area is drawn on coordinates of hourly and cumulative precipitations, and we can predict that slope failure occur somewhere in the area when rainfall condition crosses the critical line into the occurrence region. As slope failure depends greatly on the water content condition in slope-soil layer before the rainfall event, the rainfall amount up to slope failure occurrence must be different. Also, such a method merely predicts the possibility of slope failure in the area at a time stage of the rainfall event. In this paper slope failure was simulated under different geographical and rainfall conditions, taking actual slopes as examples, and the simulation results indicate that water content in an individual slope-soil layer is an adequate index for predicting the collapse of the slope. The characteristics of sediment disaster such as the relationship between slope failure magnitude and rainfall condition is discussed and an idea for evacuation system for successively occurrence of slope failures based on the index is presented.

Cite this article as:
Masaharu Fujita, Seitaro Ohshio, and Daizo Tsutsumi, “A Prediction Method for Slope Failure by Means of Monitoring of Water Content in Slope-Soil Layer,” J. Disaster Res., Vol.5, No.3, pp. 296-306, 2010.
Data files:
References
  1. [1] Chjeng-Lun Shieh, Chun-Ming Wang, Wen-Chi Lai, Yun-Chung Tsang, and Shin-Ping Lee, “The composite hazard resulted from Typhoon Marakot in Taiwan,” Journal of the Japan Society of Erosion Control Engineering, Vol.62, No.4, pp. 61-65, 2009.
  2. [2] M. Michiue and M. Fujita, “Method for Predicting Slope Failure,” Journal of Natural Disaster Science, Vol.12, No.1, pp. 49-62, 1990.
  3. [3] M. Michiue and E. Kojima, “Study on Forecast for Occurrence of Landslides due to Heavy Rain Storm,” Reports of the Faculty of Engineering, Tottori University, pp. 167-178, 1981 (in Japanese).
  4. [4] T. Sammori and Y. Tsuboyama, “Study on Method of Slope Stability Considering Infiltration Phenomenon,” Journal of the Japan Society of Erosion Control Engineering, Vol.43, No.4, pp. 14-21, 1990.
  5. [5] T. Takahashi, M. Matsuoka, K. Senoo, Y. Araki, K. Furukawa, and T. Mizuyama, “Study on the Debris Flow Forecast Model in Hazardous Torrent,” Journal of the Japan Society of Erosion Control Engineering, Vol.53, No.1, pp. 35-46, 2000.
  6. [6] T. Takahashi and H. Nakagawa, “Prediction of Occurrence and Volume of Surface land Slides,” Proceedings of the 30th Japanese Conference on Hydraulics, pp. 199-204, 1986 (in Japanese).
  7. [7] D. Tsutsumi, M. Fujita, and Y. Hayashi, “Numerical Simulation on a Landslide due to Typhoon 0514 in Taketa City, Oita Prefecture,” Annual Journal of Hydraulic Engineering, JSCE, Vol.51, pp. 931-936, 2007.
  8. [8] T. Uchida, N. Mori, K. Tamura, H. Terada, S. Takiguchi, and K. Kamee, “The role of data preparation on shallow landslide prediction,” Journal of the Japan Society of Erosion Control Engineering, Vol.62, No.1, pp. 23-31, 2009.
  9. [9] N. Yagi, R. Yatabe, and K. Yamamoto, “Slope Failure Mechanism due to Rain Water,” Proc. 7th, ARCSMEE, Vol.1, 1983.

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