Encyclopedia of Complexity and Systems Science

2009 Edition
| Editors: Robert A. Meyers (Editor-in-Chief)

Tsunami Forecasting and Warning

  • Osamu Kamigaichi
Reference work entry
DOI: https://doi.org/10.1007/978-0-387-30440-3_568

Definition of the Subject

A tsunami is, along with strong motion, one of the two major disasters caused by earthquake. To mitigate tsunami disaster, it is important tointegrate software countermeasures like tsunami forecast to enable timely evacuation from area at risk before tsunami strikes the coast, as well as tointensify hardware countermeasures particularly in vulnerable coastal areas like building banks and water-gates. Tsunami disaster mitigation can beachieved effectively by the appropriate combination of the software and hardware countermeasures. Also, improving people's awareness on the tsunamidisaster, necessity of spontaneous evacuation when they notice an imminent threat of tsunami on their own (feeling strong shaking near the coast, seeingabnormal sea level change, etc.) and how to respond to a tsunami forecast, and conducting tsunami evacuation drill are very important issues fordisaster mitigation.

In this article, a tsunami forecast, as the most typical software...

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We thank Dr. Peter Bormann and Dr. Kenji Satake for reviewing the manuscript, theircomments and suggestions greatly improved it.


Primary Literature

  1. 1.
    Abe K (1973) Tsunami and mechanism of great earthquakes. Phys Earth Planet Inter 7:143–153ADSGoogle Scholar
  2. 2.
    Bormann P, Wylegalla K (2005) Quick estimator of the size of great earthquakes. Eos 86(46):464ADSGoogle Scholar
  3. 3.
    Bormann P, Baumbach M, Bock G, Grosser H, Choy GL, Boatwright J (2002) Seismic sources and source parameters. In: Bormann P (ed) IASPEI new manual seismological observatory practice, vol 1, Chap 3. GeoForschungsZentrum Potsdam, Potsdam, pp 1–94Google Scholar
  4. 4.
    Geller RJ (1976) Scaling relations for earthquake source parameters and magnitudes. Bull Seism Soc Am 66:1501–1523Google Scholar
  5. 5.
    Geographical Survey Institute of Japan (2006) Real-time collection and analysis of crustal deformation data, Report on technical development and promotion plan concerning prompt disaster mitigation countermeasures based on disaster information, Chap 2. Ministry of Land, Infrastructure and Transport, TokyoGoogle Scholar
  6. 6.
    González FI, Bernard EN, Meinig C, Eble M, Mofjeld HO, Stalin S (2005) The NTHMP tsunameter network. Nat Hazards (Special Issue, US National Tsunami Hazard Mitigation Program) 35(1):25–39Google Scholar
  7. 7.
    Jim Gower J (2005) Jason 1 detects the 26 December 2004 tsunami. EOS Trans Am Geophys Union 86(4):37–38ADSGoogle Scholar
  8. 8.
    Hara T (2007) Measurement of duration of high‐frequency energy radiation and its application to determination of magnitudes of large shallow earthquakes. Earth Planets Space 59:227–231ADSGoogle Scholar
  9. 9.
    Hatori T (1984) On the damage to houses due to tsunamis. Bull Earthq Res Inst 59:433–439 (in Japanese)Google Scholar
  10. 10.
    Hayashi Y (2008) Extracting the 2004 Indian Ocean tsunami signals from sea surface height data observed by satellite altimetry. J Geophys Res 113:C01001ADSGoogle Scholar
  11. 11.
    Ide S, Takeo M, Yoshida Y (1996) Source process of the 1995 Kobe earthquake: Determination of spatio‐temporal slip distribution by Baysian modeling. Bull Seism Soc Am 87:547–566Google Scholar
  12. 12.
    Imamura F (1997) IUGG/IOC TIME PROJECT Numerical method of tsunami simulation with the leap-frog scheme, part 3 (Programme lists for near field tsunami), vol 35. IOC Manuals and Guides, ParisGoogle Scholar
  13. 13.
    Japan Meteorological Agency (2005) A magnitude estimation using borehole volume strainmeters for earthquake events near the coast of Sumatra, Indonesia. Rep Coord Comm Earthq Predict 74:575–577 (in Japanese)Google Scholar
  14. 14.
    Kajiura K(1970) Tsunami source, energy and the directivity of wave radiation. Bull Earthq Res Inst (Univ. of Tokyo) 48:835–869Google Scholar
  15. 15.
    Kamigaichi O (2004) JMA earthquake early warning. J Japan Assoc Earthq Eng (Special Issue) 4:134–137Google Scholar
  16. 16.
    Kanamori H, Anderson DL (1975) Theoretical basis of some empirical relations in seismology. Bull Seism Soc Am 65:1073–1095Google Scholar
  17. 17.
    Kanamori H, Rivera L (2007) Speeding up seismic tsunami warning using W phase. In: Abstracts of AGU Fall Meeting 2007, S43C-06Google Scholar
  18. 18.
    Kasahara M, Sasatani T (1986) Body wave analyses of strain seismograms observed at Erimo, Hokkaido, Japan. J Fac Sc Hokkaido Univ Ser. VII (Geophysics) 8:83–108Google Scholar
  19. 19.
    Katsumata A (2004) Revision of the JMA displacement magnitude. Q J Seismol 67:1–10 (in Japanese)Google Scholar
  20. 20.
    Kikuchi M, Kanamori H (1991) Inversion of complex body waves, III. Bull Seism Soc Am 81:2335–2350Google Scholar
  21. 21.
    Lomax A, Michelini A, Piatanesi A (2007) An energy‐duration procedure for rapid determination of earthquake magnitude and tsunamigenic potential. Geophys J Int 170:1195–1209ADSGoogle Scholar
  22. 22.
    Matsu'ura M, Hasegawa Y (1987) A maximum likelihood approach to nonlinear inversion under constraints. Phys Earth Planet Inter 47:179–187ADSGoogle Scholar
  23. 23.
    Okada M, Tanioka Y (1998) Relation of tsunami generation ratio with earthquake magnitude and hypocentral depth. Mon Kaiyo (Special issue) 15:18–22 (in Japanese)Google Scholar
  24. 24.
    Okada Y (1985) Surface deformation due to shear and tensile faults in a half-space. Bull Seism Soc Am 75:1135–1154Google Scholar
  25. 25.
    Ozawa S (1996) Geodetic inversion for the fault model of the 1994 Shikotan Earthquake. Geophys Res Lett 23(16):2009–2012ADSGoogle Scholar
  26. 26.
    Satake K (1989) Inversion of tsunami waveforms for the estimation of heterogeneous fault motion of large submarine earthquakes – the 1968 Tokachi‐Oki and 1983 Japan Sea earthquakes. J Geophys Res 94:5627–5636ADSGoogle Scholar
  27. 27.
    Satake K (1995) Linear and nonlinear computations of the 1992 Nicaragua earthquake tsunami. PAGEOPH 144:455–470Google Scholar
  28. 28.
    Shuto N (1991) Historical changes in characteristics of tsunami disasters. In: Proc of international symposium on natural disaster reduction and civil engineering. Japan Society of Civil Engineering, Tokyo, pp 77–86Google Scholar
  29. 29.
    Shuto N (1992) Tsunami Intensity and damage, Tsunami engineering technical report. Tohoku Univ 9:101–136 (in Japanese)Google Scholar
  30. 30.
    Shuto N (1998) Present state of tsunami research and defense works. Bull Coastal Oceanogr 35(2):147–157 (in Japanese)ADSGoogle Scholar
  31. 31.
    Shuto N et al (1986) A study of numerical techniques on the tsunami propagation and run-up. Sci Tsunami Hazard 4:111–124Google Scholar
  32. 32.
    Takanami T, Kitagawa G (eds) (2002) Methods and application of signal processing in seismic network operations. Lecture Notes in Earth Science vol 98. Springer, BerlinGoogle Scholar
  33. 33.
    Titov VV, González FI, Bernard EN, Eble MC, Mofjeld HO, Newman JC, Venturato AJ (2005) Real-time tsunami forecasting: Challenges and solutions. Nat Hazards (Special Issue, US National Tsunami Hazard Mitigation Program) 35(1):41–58Google Scholar
  34. 34.
    Tsuboi S, Abe K, Takano K, Yamanaka Y (1995) Rapid determination of Mw from broadband P waveforms. Bull Seism Soc Am 83:606–613Google Scholar
  35. 35.
    Tsushima H, Hino R, Fujimoto H, Tanioka Y (2007) Application of cabled offshore ocean bottom tsunami gauge data for real-time tsunami forecasting. In: Proc symposium on underwater technology 2007/Workshop on scientific use of submarine cables and related technologies 2007. The University of Tokyo, Tokyo, pp 631–639Google Scholar
  36. 36.
    Ueno H, Hatakeyama S, Aketagawa T, Funasaki J, Hamada N (2002) Improvement of hypocenter determination procedures in the Japan Meteorological Agency. Q J Seism 65:123–134 (in Japanese)Google Scholar
  37. 37.
    Utsu T, Shima E, Yoshii T, Yamashina K (2001) Encyclopedia of Earthquakes, 2nd edn. Asakura, Tokyo, pp 657Google Scholar
  38. 38.
    Weinstein S, Okal E (2005) The mantle magnitude Mm and the slowness parameter theta: Five years of real-time use in the context of tsunami warning. Bull Seosm Soc Am 85:779–799Google Scholar
  39. 39.
    Wells DL, Coppersmith KJ (1994) New empirical relationships among magnitude, rupture length, rupture width, rupture area, and surface displacement. Bull Seism Soc Am 84(4):974–1002Google Scholar
  40. 40.
    Yokota T, Zhou S, Mizoue M, Nakamura I (1981) An automatic measurement of arrival time of seismic waves and its application to an on-line processing system. Bull Earthq Res Inst 56:449–484 (in Japanese)Google Scholar

Books and Reviews

  1. 41.
    Bormann P (ed) (2002) IASPEI new manual of seismological observatory practice, vol 1 and 2. GeoForschungsZentrum Potsdam, PotsdamGoogle Scholar
  2. 42.
    Satake K (2007) Tsunamis, chap 4, 17. Treatise on geophysics, vol 4. Elsevier, Amsterdam, pp 483–511Google Scholar

Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  • Osamu Kamigaichi
    • 1
  1. 1.Japan Meteorological AgencyTokyoJapan