Encyclopedia of Complexity and Systems Science

Living Edition
| Editors: Robert A. Meyers

Tsunami Forecasting and Warning

  • Osamu Kamigaichi
Living reference work entry
DOI: https://doi.org/10.1007/978-3-642-27737-5_568-3

Definition of the Subject

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

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


Tsunami Wave Japan Meteorological Agency Tsunami Warning Earthquake Early Warning Great East Japan Earthquake 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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We thank Dr. Peter Bormann and Dr. Kenji Satake for reviewing the manuscript, and their comments and suggestions greatly improved it.


Primary Literature

  1. Abe K (1973) Tsunami and mechanism of great earthquakes. Phys Earth Planet Inter 7:143–153CrossRefADSGoogle Scholar
  2. Bormann P, Wylegalla K (2005) Quick estimator of the size of great earthquakes. Eos 86(46):464CrossRefADSGoogle Scholar
  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 seismological observatory practice, vol 1. GeoForschungsZentrum Potsdam, Potsbam, pp 1–94, Chap 3Google Scholar
  4. City Bureau, Ministry of Land, Infrastructure, Transport and Tourism (2011) Survey of damaged cities at the Great East Japan Earthquake, http://www.mlit.go.jp/report/press/city07_hh_000053.html (in Japanese).
  5. Geller RJ (1976) Scaling relations for earthquake source parameters and magnitudes. Bull Seism Soc Am 66:1501–1523Google Scholar
  6. González FI, Bernard EN, Meinig C, Eble M, Mofjeld HO, Stalin S (2005) The NTHMP tsunameter network. Nat Hazards 35(1):25–39, Special Issue, U.S. National Tsunami Hazard Mitigation ProgramCrossRefGoogle Scholar
  7. 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 59:227–231CrossRefADSGoogle Scholar
  8. Hatori T (1984) On the damage to houses due to tsunamis. Bull Earthq Res Inst 59:433–439 (in Japanese)Google Scholar
  9. 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
  10. Hayashi Y, Tsushima H, Hirata K, Kimura K, Maeda K (2011) Tsunami source area of the 2011 off the Pacific coast of Tohoku earthquake determined from tsunami arrival times at offshore observation stations. Earth Planets Space 63:809–813. doi:10.5407/eps.2011.06.042CrossRefADSGoogle Scholar
  11. Hoshiba M, Ozaki T (2012) Earthquake early warning and tsunami warning of JMA for the 2011 off the Pacific Coast of Tohoku earthquake. J Seismol Soc Jpn 64(3):155–168. doi:10.4294/zisin.64.155, 2012, 2nd ser, in Japanese with English abstractGoogle Scholar
  12. Ide S, Takeo M, Yoshida Y (1996) Source process of the 1995 Kobe earthquake: determination of spatio-temporal slip distribution by Bayesian modeling. Bull Seismol Soc Am 87:547–566Google Scholar
  13. 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), IOC manuals and guides, vol 35Google Scholar
  14. Japan Meteorological Agency (2005) A magnitude estimation using borehole volume strainmeters for earthquake events near the coast of Sumatra, Indonesia. Rep Coord Comm Earthq Prediction 74:575–577 (in Japanese)Google Scholar
  15. Japan Meteorological Agency (2013) Lessons learned from the tsunami disaster caused by the 2011 Great East Japan earthquake and improvements in JMA’s tsunami warning system, http://www.seisVol.kishou.go.jp/eq/eng/tsunami/Lessons Learned Improvements brochure.pdf
  16. Jim Gower J (2005) Jason 1 detects the 26 December 2004 tsunami. EOS Trans Am Geophys Union 86(4):37–38CrossRefADSGoogle Scholar
  17. Kajiura K (1970) Tsunami source, energy and the directivity of wave radiation. Bull Earthq Res Inst (Univ of Tokyo) 48:835–869Google Scholar
  18. Kamigaichi O (2004) JMA earthquake early warning. J Jpn Assoc Earthq Eng 4(Special Issue):134–137Google Scholar
  19. Kanamori H, Anderson DL (1975) Theoretical basis of some empirical relations in seismology. Bull Seismol Soc Am 65:1073–1095Google Scholar
  20. Kanamori H, Rivera L (2008) Source inversion of W phase: speeding up seismic tsunami warning. Geophys J Int 175:222–238CrossRefADSGoogle Scholar
  21. Kanazawa T (2013) Japan trench earthquake and tsunami monitoring network of cable-linked 150 ocean bottom observatories and its impact to earth disaster science, Underwater Technology Symposium (UT): Conf. Proc. of 2013, 2013 I.E. Int., doi: 10.1109/UT.2013.6519911, 5–8 Mar 2013Google Scholar
  22. Kaneda Y (2010) The advanced ocean floor real time monitoring system for mega thrust earthquakes and tsunamis -application of DONET and DONET2 data to seismological research and disaster Mitigation- MTS/IEEE OCEANSGoogle Scholar
  23. Kasahara M, Sasatani T (1986) Body wave analyses of strain seismograms observed at Erimo, Hokkaido, Japan. J Fac Sci Hokkaido Univ Ser VII (Geophys) 8:83–108Google Scholar
  24. Katsumata A (2004) Revision of the JMA displacement magnitude. Q J Seismol 67:1–10 (in Japanese)Google Scholar
  25. Katsumata A, Aoki S, Yoshida Y, Ueno H, Yokota T (2012) Rapid source parameter estimation of great earthquake for tsunami warning. In: Proceedings of the international symposium on engineering lessons learned from the 2011 Great East Japan Earthquake, March 1–4, 2012, Tokyo, pp 592–601Google Scholar
  26. Katsumata A, Ueno H, Aoki S, Yoshida Y, Barrientos S (2013) Rapid magnitude determination from peak amplitudes at local stations. Earth Planet Space 65:843–853CrossRefADSGoogle Scholar
  27. Kawai H, Satoh M, Kawaguchi K, Seki K (2013) Characteristics of the 2011 Tohoku tsunami waveform acquired around Japan by NOWPHAS equipment. Coast Eng J 55(3) (2013) 1350008 (27p.), World Scientific Publishing Company and Japan Society of Civil Engineers, DOI:10.1142/S0578563413500083Google Scholar
  28. Kikuchi M, Kanamori H (1991) Inversion of complex body waves, III. Bull Seismol Soc Am 81:2335–2350Google Scholar
  29. Lomax A, Michelini A, Piatanesi A (2007) An energy-duration procedure for rapid determination of earthquake magnitude and tsunamigenic potential. Geophys J Int 170:1195–1209CrossRefADSGoogle Scholar
  30. Matsumoto H, Hayashi Y, Kaneda Y (2012) Characteristics of water pressure disturbances on real-time tsunami data of ocean-bottom pressure gauges. J Jpn Soc Civil Eng Ser B2 (Coast Eng) 68(2):I_391–I_395. doi:10.2208/kaigan.68.I_391, in Japanese with English abstractGoogle Scholar
  31. Matsu’ura M, Hasegawa Y (1987) A maximum likelihood approach to nonlinear inversion under constraints. Phys Earth Planet Inter 47:179–187CrossRefADSGoogle Scholar
  32. Nishimura T, Imakiire T, Tobita M (2010) Development on the rapid estimation for an earthquake fault model using real-time 1-second sampling GPS data. J Geospatial Inf Authority Jpn 120:63–73 (in Japanese)Google Scholar
  33. Ohta Y, Kobayashi T, Tsushima H, Miura S, Hino R, Takasu T, Fujimoto H, Iinuma T, Tachibana K, Demachi T, Sato T, Ohzono M, Umino N (2012) Quasi real-time fault model estimation for near-field tsunami forecasting based on RTK-GPS analysis: application to the 2011 Tohoku-Oki earthquake (Mw9.0). J Geophys Res 117:B02311. doi:10.1029/2011JB008750ADSGoogle Scholar
  34. Okada M, Tanioka Y (1998) Relation of tsunami generation ratio with earthquake magnitude and hypocentral depth. Mon Kaiyo 15(special issue):18–22, in JapaneseGoogle Scholar
  35. Okada Y (1985) Surface deformation due to shear and tensile faults in a half-space. Bull Seismol Soc Am 75:1,135–1,154Google Scholar
  36. Ozawa S (1996) Geodetic inversion for the fault model of the 1994 Shikotan earthquake. Geophys Res Lett 23(16):2009–2012CrossRefADSGoogle Scholar
  37. 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 94:5,627–5,636CrossRefADSGoogle Scholar
  38. Satake K (1995) Linear and nonlinear computations of the 1992 Nicaragua earthquake tsunami. PAGEOPH 144:455–470CrossRefGoogle Scholar
  39. Shuto N (1991) Historical changes in characteristics of tsunami disasters. In: Natural disaster reduction and civil engineering. Japan Society of Civil Engineering, pp 77–86Google Scholar
  40. Shuto N (1992) Tsunami Intensity and damage. In: Tsunami engineering technical report, vol 9. Tohoku Univ., pp 101–136 (in Japanese)Google Scholar
  41. Shuto N (1998) Present state of tsunami research and defense works. Bull Coast Oceanogr 35(2):147–157 (in Japanese)ADSGoogle Scholar
  42. Shuto N et al (1986) A study of numerical techniques on the tsunami propagation and run-up. Sci Tsunami Hazard 4:111–124Google Scholar
  43. Takanami T, Kitagawa G (eds) (2002) Methods and application of signal processing in seismic network operations, vol 98, Lecture Notes in Earth Science. Springer, BerlinGoogle Scholar
  44. Titov VV, González FI, Bernard EN, Eble MC, Mofjeld HO, Newman JC, Venturato AJ (2005) Real-time tsunami forecasting: challenges and solutions. Nat Hazards 35(1):41–58, Special Issue, U.S. National Tsunami Hazard Mitigation ProgramCrossRefGoogle Scholar
  45. Tsuboi S, Abe K, Takano K, Yamanaka Y (1995) Rapid determination of Mw from broadband P waveforms. Bull Seismol Soc Am 83:606–613Google Scholar
  46. Tsushima H, Hino R, Fujimoto H, Tanioka Y, Imamura F (2009) Near-field tsunami forecasting from cabled ocean bottom pressure data. J Geophys Res 114:B06309. doi:10.1029/2008JB005988ADSGoogle Scholar
  47. Tsushima H, Hirata K, Hayashi Y, Tanioka Y, Kimura K, Sakai S, Shinohara M, Kanazawa T, Hino R, Maeda K (2011) Near-field tsunami forecasting using offshore tsunami data from the 2011 off the Pacific coast of Tohoku earthquake. Earth Planets Space 63:821–826CrossRefADSGoogle Scholar
  48. Tsushima H, Hino R, Tanioka Y, Imamura F, Fujimoto H (2012) Tsunami waveform inversion incorporating permanent seafloor deformation and its application to tsunami forecasting. J Geophys Res 117:B03311. doi:10.1029/2011JB008877ADSGoogle Scholar
  49. Ueno H, Hatakeyama S, Aketagawa T, Funasaki J, Hamada N (2002) Improvement of hypocenter determination procedures in the Japan Meteorological Agency. Q J Seismol 65:123–134, in JapaneseGoogle Scholar
  50. Utsu T, Shima E, Yoshii T, Yamashina K (eds) (2001) Encyclopedia of earthquakes, 2nd edn. Asakura, Tokyo, p 657, in JapaneseGoogle Scholar
  51. 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 Seosmol Soc Am 85:779–799CrossRefGoogle Scholar
  52. Wells DL, Coppersmith (1994) New empirical relationships among magnitude, rupture length, rupture width, rupture area, and surface displacement. Bull Seismol Soc Am 84(4):974–1002Google Scholar
  53. Yahagi T, Miyagawa K, Kawamoto S, Oshima K, Yamaguchi K, Muramatsu H, Ohta Y, Demachi T, Miura S, Hino R, Saida Y, Douke Y (2014) Enhancement of GEONET real-time analysis system for covering Japan. In: Proceedings of Japan Geoscience Union Meeting 2014, in Yokohama, Japan (HDS27-09)Google Scholar
  54. 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 JapaneseGoogle Scholar

Books and Reviews

  1. Bormann P (ed) (2002) IASPEI New manual of seismological observatory practice, Vol. 1 and 2, GeoForschungsZentrum PotsdamGoogle Scholar
  2. Satake K (2007) Tsunamis, chap. 4.17. In: Treatise on geophysics, vol.4. Elsevier, Amsterdam, pp 483–511Google Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Japan Meteorological AgencyTokyoJapan