Advertisement

TXT-tool 3.081-1.2: Simulation of Landslide Induced Tsunami (LS-Tsunami) Based on the Landslide Motion Predicted by LS-RAPID

  • Khang Dang
  • Kyoji Sassa
  • Hideaki Yanagisawa
  • Bin He
Chapter

Abstract

By combining landslide dynamics research and tsunami research, we present an integrated series of numerical models quantitatively simulating the complete evolution of a landslide-induced tsunami. The integrated model simulating the landslide initiation and motion uses measured landslide dynamic parameters from a high-stress undrained dynamic-loading ring shear apparatus. It provides the numerical data of a landslide mass entering and moving under water to the tsunami simulation model as the trigger of tsunami. The series of landslide and tsunami simulation models were applied to the 1792 Unzen-Mayuyama megaslide and the ensuing tsunami disaster, which is the largest landslide disaster, the largest volcanic disaster and the largest landslide-induced tsunami disaster to have occurred in Japan. Both the 1792 megaslide and the tsunami portions of the disaster are well documented, making this an excellent test of the reliability and precision of the new simulation model. The simulated tsunami heights at the coasts well match the historical tsunami heights recorded by “Tsunami-Dome-Ishi” (a stone showing the tsunami reaching point) and memorial stone pillars.

Keywords

Unzen-Mayuyama landslide Landslide-induced tsunami Undrained ring shear test Computer simulation 

References

  1. Abe I, Goto K, Imamura F, Shimizu K (2008) Numerical simulation of the tsunami generated by the 2007 Noto Hanto Earthquake and implications for unusual tidal surges observed in Toyama Bay. Earth Planets Space 60:133–138CrossRefGoogle Scholar
  2. Baba T, Matsumoto H, Kashiwase K, Hyakudome T, Kaneda Y, Sano M (2012) Microbathymetric evidence for the effect of submarine mass movement on tsunami generation during the 2009 Suruga bay earthquake, Japan. In: Yamada et al (eds) Submarine mass movements and their consequences. Advances in natural and technological hazards research 31. Springer, Berlin, pp 485–494Google Scholar
  3. Fraser SA, Power WL, Wang X, Wallace LM, Mueler C, Johnston DM (2014) Tsunami inundation in Napier, New Zealand, due to local earthquake sources. Nat Hazard 70:415–445CrossRefGoogle Scholar
  4. Imamura F (2009) Tsunami modeling: calculating inundation and hazard maps. In: Bernard EN, Robinson AR (eds) THE SEA tsunamis. Harvard University Press, London, pp 321–332Google Scholar
  5. Inoue K (1999) Shimabara-Shigatsusaku Earthquake and topographic changes by Shimabara catastrophe. J Jpn Soc Eros Control Eng 52(4):45–54 (in Japanese)Google Scholar
  6. Intergovernmental Oceanographic Commission (IOC) (1997) Numerical method of tsunami simulation with the leap-frog scheme. IUGG/IOC Time Project IOC Manuals and Guides, No. 3, UNESCOGoogle Scholar
  7. Linsley RK, Franzini JB (1979) Water resource engineering, 3rd edn. McGraw-Hill, New YorkGoogle Scholar
  8. Ministry of Land, Infrastructure, Transport and Tourism (MLIT), Water and Disaster Management Bureau, Coastal management office (2012) Guideline for the assessment for Tsunami inundation area. Ver.1.00, http://www.mlit.go.jp/river/shishin_guideline/bousai/saigai/tsunami/shinsui_settei_ver100.pdf
  9. Sassa K, Fukuoka H, Wang G, Ishikawa N (2004) Undrained dynamic-loading ring-shear apparatus and its application to landslide dynamics. Landslides 1(1):7–19CrossRefGoogle Scholar
  10. Sassa K, Nagai O, Solidum R, Yamazaki Y, Ohta H (2010) An integrated model simulating the initiation and motion of earthquake and rain induced rapid landslides and its application to the 2006 Leyte landslide. Landslides 7(3):219–236CrossRefGoogle Scholar
  11. Sassa K, He B, Miyagi T, Strasser M, Konagai K, Ostric M, Setiawan H, Takara K, Nagai O, Yamashiki Y, Tutumi S (2012) A hypothesis of the Senoumi submarine megaslide in Suruga Bay in Japan-based on the undrained dynamic-loading ring shear tests and computer simulation. Landslides 9(4):439–455CrossRefGoogle Scholar
  12. Sassa K, Dang K, He B, Takara K, Inoue K, Nagai O (2014a) A new high-stress undrained ring-shear apparatus and its application to the 1792 Unzen–Mayuyama megaslide in Japan. Landslides 11(5):827–842CrossRefGoogle Scholar
  13. Sassa K, Bin H, Dang K, Nagai O, Takara K (2014b) Plenary: progress in landslide dynamics. Landslide Sci Saf Geoenviron 1:37–67CrossRefGoogle Scholar
  14. Satake K (2001) Tsunami modeling from submarine landslides. In: Proceedings of the international tsunami symposium, pp 665–674Google Scholar
  15. Tinti S, Tonini R (2013) The UBO-TSUFD tsunami inundation model: validation and application to a tsunami case study focused on the city of Catania, Italy. Nat Hazards Earth Syst Sci 13:1795–1816CrossRefGoogle Scholar
  16. Tsuji Y, Hino T (1993) Damage and Inundation height of the 1792 Shimabara landslide tsunami along the coast of Kumamoto Prefecture. Bull Earthq Res Inst Univ Tokyo 68:91–176 (in Japanese)Google Scholar
  17. Tsuji Y, Murakami Y (1997): Inundation height of the 1792 Mayuyama landslide tsunami in the Shimabara Peninsula side. In: Historical earthquake, No. 13, Soc. of historical earthquake studies, pp 135–197Google Scholar
  18. Unzen Restoration Office of the Ministry of Land, Infrastructure and Transport of Japan (2002) The Catastrophe in Shimabara—1791–92 eruption of Unzen–Fugendake and the sector collapse of Mayu-Yama. An English leafletGoogle Scholar
  19. Unzen Restoration Office of the Ministry of Land, Infrastructure and Transport of Japan (2003) The Catastrophe in Shimabara—1791–92 eruption of Unzen–Fugendake and the sector collapse of Mayu-Yama. A Japanese leafletGoogle Scholar
  20. Usami T (1996) Materials for comprehensive list of destructive earthquakes in Japan. University of Tokyo Press, Tokyo (in Japanese)Google Scholar
  21. Yanagisawa H, Aoki A, Sassa K, Inoue K (2014) Numerical simulation of 1792 Ariake-Kai Tsunami using Landslide-Tsunami model. J Jpn Soc Civil Eng Ser. B2 (Coast Eng) 70(2):151–155 (in Japanese)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Khang Dang
    • 1
    • 2
  • Kyoji Sassa
    • 1
  • Hideaki Yanagisawa
    • 3
  • Bin He
    • 4
  1. 1.International Consortium on LandslidesKyotoJapan
  2. 2.VNU University of ScienceHanoiVietnam
  3. 3.Department of Regional Design, Faculty of Liberal ArtsTohoku Gakuin UniversitySendaiJapan
  4. 4.State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and LimnologyChinese Academy of ScienceNanjingChina

Personalised recommendations