single-dr.php

JDR Vol.18 No.8 pp. 859-867
(2023)
doi: 10.20965/jdr.2023.p0859

Paper:

Applicability of a Modified I-D Method for Predicting Slope Failure to Different Slopes

Toru Danjo and Tomohiro Ishizawa

National Research Institute for Earth Science and Disaster Resilience (NIED)
3-1 Tennodai, Tsukuba, Ibaraki 305-0006, Japan

Corresponding author

Received:
April 19, 2023
Accepted:
October 23, 2023
Published:
December 1, 2023
Keywords:
rainfall intensity, duration, saturation, pore pressure, slope failure
Abstract

The authors have proposed a modified intensity–duration (I-D) method that incorporates field measurements of tensiometer to improve the accuracy of predicting the risk of slope failure. This method uses an indicator that considers the relationship of the duration from the time point at which the saturated zone is assumed to have formed to the average rainfall intensity during that period. The usefulness of this method has been verified, but its applicability to different slopes has not yet been investigated. Here, the authors collected long-term observations on a natural slope in Minamiashigara City, Kanagawa Prefecture, and examined the Modified I-D method using data on slope failures in the surrounding area. The authors also compared the results with plots of previous rainfall index (soil water index–accumulated rainfall in 60 min, effective rainfall amount with a half-life of 72 h–effective rainfall amount with a half-life of 1.5 h, and accumulated rainfall–accumulated rainfall in 60 min). The snake curves for rainfall events during slope failure and non-failure were clearly separated. The accuracy was high, confirming the applicability of the modified I-D method.

Cite this article as:
T. Danjo and T. Ishizawa, “Applicability of a Modified I-D Method for Predicting Slope Failure to Different Slopes,” J. Disaster Res., Vol.18 No.8, pp. 859-867, 2023.
Data files:
References
  1. [1] Ministry of Land, Infrastructure, Transport and Tourism, “The number of sediment-related disasters in the 4th year of Reiwa was 795,” 2023 (in Japanese). https://www.mlit.go.jp/report/press/sabo02_hh_000138.html [Accessed September 1, 2023]
  2. [2] Y. Ishihara and S. Kobatake, “Runoff model for flood forecasting,” Bulletin of the Disaster Prevention Research Institute, Kyoto University, Vol.29, No.1, pp. 27-43, 1979.
  3. [3] K. Kosugi, “Evaluation of storm events triggering slope failures,” J. of the Japan Society of Erosion Control Engineering, Vol.67, No.5, pp. 12-23, 2015 (in Japanese). https://doi.org/10.11475/sabo.67.5_12
  4. [4] Y. Shuin, N. Hotta, Y. Yamakawa, and M. Suzuki, “Evaluation of sediment-related disasters risk with a single rainfall index based on a return period: Case study of Izu-Oshima, Tokyo, Japan,” J. of the Japan Society of Erosion Control Engineering, Vol.71, No.1, pp. 28-34, 2018 (in Japanese). https://doi.org/10.11475/sabo.71.1_28
  5. [5] K. Ono and S. Mori, “Analysis of rainfall characteristics for landslide disasters in southwestern part of Ehime Prefecture resulting from the July 2018 heavy rain event,” Japanese Geotechnical J., Vol.16, No.2, pp. 105-115, 2021 (in Japanese). https://doi.org/10.3208/jgs.16.105
  6. [6] T. Takahara, K. Kondo, and K. Ueno, “A study on the applicability of parallel tanks model index for critical lines development in landslide risk information,” Japan National Conf. on Geotechnical Engineering, pp. 2025-2026, 2018 (in Japanese).
  7. [7] K. Sakuradani, D. Mizutani, K. Obama, K. Kaito, and T. Onji, “Methodology to determine rainfall standards of traffic regulation for slope disaster on expressways,” J. of Japan Society of Civil Engineers, Ser. F6 (Safety Problem), Vol.75, No.1, pp. 12-30, 2019 (in Japanese). https://doi.org/10.2208/jscejsp.75.12
  8. [8] K. Takahashi, H. Ohtsu, and Y. Ohnishi, “Research on the slope risk evaluation due to rainfall using the storage tank model,” J. of Construction Management, JSCE, Vol.10, pp. 341-348, 2003 (in Japanese). https://doi.org/10.2208/procm.10.341
  9. [9] W. Mairaing, “Landslide conditions and problems in Thailand,” Proc. of EIT-Japan-AIT 2005 Seminar on Geo-Risk Engineering and Management, pp. 193-203, 2005.
  10. [10] H. Ohtsu, Y. Hotta, S. Soralump, and T. Nimura, “Study on moisture infiltration of subsoil in a slope due to tropical rainfall,” J. of the Society of Materials Science, Japan, Vol.59, No.3, pp. 192-198, 2010 (in Japanese). https://doi.org/10.2472/jsms.59.192
  11. [11] N. Caine, “The rainfall intensity–duration control of shallow landslides and debris flows,” Geografiska Annaler. Series A, Physical Geography, Vol.62, Nos.1-2, pp. 23-27, 1980. https://doi.org/10.2307/520449
  12. [12] H. Saito, D. Nakayama, and H. Matsuyama, “Relationship between the initiation of a shallow landslide and rainfall intensity–duration thresholds in Japan,” Geomorphology, Vol.118, Nos.1-2, pp. 167-175, 2010. https://doi.org/10.1016/j.geomorph.2009.12.016
  13. [13] T. Danjo et al., “Improvement of prediction accuracy on rainfall-induced slope failures using a rainfall index considering measurement results with a tensiometer,” J. of Japan Society of Civil Engineers, Ser. C (Geosphere Engineering), Vol.77, No.1, pp. 87-102, 2021 (in Japanese). https://doi.org/10.2208/jscejge.77.1_87
  14. [14] Y. Kawahara, “Natural disasters and railways: ‘Planned Service Suspension’ as a new method of disaster prevention and reduction for railways,” IATSS Review, Vol.45, No.2, pp. 88-99, 2020 (in Japanese). https://doi.org/10.24572/iatssreview.45.2_88
  15. [15] T. Danjo et al., “Consideration of setting up a series of rainfall events to improvement of hazard prediction accuracy on slope failure by modified I-D method,” J. of Disaster Mitigation for Historical Cities, Vol.15, pp. 57-62, 2021 (in Japanese). https://doi.org/10.34382/00014976
  16. [16] T. Danjo et al., “Proposal for estimation method of a saturated zone formation time in slope failure hazard prediction by modified I-D method,” J. of Japan Society of Civil Engineers, Ser. C (Geosphere Engineering), Vol.78, No.3, pp. 165-179, 2022 (in Japanese). https://doi.org/10.2208/jscejge.78.3_165
  17. [17] Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology, “1:200,000 seamless digital geological map of Japan,” (in Japanese). https://gbank.gsj.jp/seamless/index.html?lang=ja& [Accessed September 1, 2023]
  18. [18] Method for Portable Dynamic Cone Penetration Test (in Japanese). http://terra.futene.net/jiban.html [Accessed September 1, 2023]
  19. [19] Kanagawa Prefecture Sediment-Related Disaster Information Portal (in Japanese). https://dosyasaigai.pref.kanagawa.jp/website/kanagawa/gis/index.html [Accessed September 1, 2023]

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Oct. 01, 2024