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Tsunami Forecasting and Warning

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Encyclopedia of Complexity and Systems Science

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...

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Abbreviations

Centroid Moment Tensor solution:

One of the representation of seismic source process. It is represented by the moment tensor, which is a combination of six independent equivalent force couples, and is a weighted average of the source process in time and space. Since it represents an overall image of the source process, it is suitable to evaluate tsunamigenic potential of the earthquake.

Earthquake early warning:

Earthquake early warning is to enable countermeasures in advance for strong motion disaster by detecting seismic P wave at stations near the epicenter, quickly estimate seismic intensity and arrival time of S wave, and transmit these estimations before the S-wave arrival. The Japan Meteorological Agency (JMA) started to provide EEW to the general public in October 2007. This technique is applicable to quicken tsunami warning dissemination.

Forecast point:

In this article, it is defined as the location of the offshore point where tsunami amplitude is evaluated by using numerical tsunami propagation simulation.

Intergovernmental Coordination Group:

The group established under UNESCO/IOC to facilitate international cooperation for the tsunami disaster mitigation. There are four ICGs as of now (Pacific Ocean, Indian Ocean, Caribbean Sea, Northeastern Atlantic Ocean, and Mediterranean Sea). One of the most important characteristics of tsunami is that it can cause huge disaster even after long-distance propagation due to amplification near the coast. Therefore, international cooperation, especially the prompt data and information exchange, is essential for the disaster mitigation.

Simulation point:

In this article, it is defined as the surface projection location of the hypothetical earthquake fault center. The vertical component of ocean bottom deformation due to earthquake fault dislocation calculated by elastic theory gives the initial tsunami waveform for the numerical tsunami propagation simulation.

Tsunami amplitude:

Amplitude is measured from undisturbed sea level to peak or trough of the wave. By definition, it can be positive or negative. Tsunami amplitude can be measured in real time by instruments like tide gauge, pressure sensor, etc. and can be reproduced by numerical tsunami propagation simulation. One need not be confused with the term “run-up height.” It is the maximum height of inundation on land and measured in post-tsunami field surveys from traces of tsunami (i.e., damage of constructions, vegetative markers, etc.).

Tsunami Early Warning System:

It consists of four components, namely, (1) seismic network, (2) seismic data processing system, (3) tsunami forecast system, and (4) sea level data monitoring system. In a broader sense, warning transmission system (downlink to disaster management organizations and public) is also included.

Bibliography

Primary Literature

  • Abe K (1973) Tsunami and mechanism of great earthquakes. Phys Earth Planet Inter 7:143–153

    Article  ADS  Google Scholar 

  • Bormann P, Wylegalla K (2005) Quick estimator of the size of great earthquakes. Eos 86(46):464

    Article  ADS  Google Scholar 

  • 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 3

    Google Scholar 

  • 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).

  • Geller RJ (1976) Scaling relations for earthquake source parameters and magnitudes. Bull Seism Soc Am 66:1501–1523

    Google Scholar 

  • 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 Program

    Article  Google Scholar 

  • 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 59:227–231

    Article  ADS  Google Scholar 

  • Hatori T (1984) On the damage to houses due to tsunamis. Bull Earthq Res Inst 59:433–439 (in Japanese)

    Google Scholar 

  • Hayashi Y (2008) Extracting the 2004 Indian Ocean tsunami signals from sea surface height data observed by satellite altimetry. J Geophys Res 113:C01001

    ADS  Google Scholar 

  • 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.2011.06.042

    Article  ADS  Google Scholar 

  • 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 abstract

    Google Scholar 

  • 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 87:547–566

    Google Scholar 

  • 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 35

    Google Scholar 

  • 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 

  • 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

  • Jim Gower J (2005) Jason 1 detects the 26 December 2004 tsunami. EOS Trans Am Geophys Union 86(4):37–38

    Article  ADS  Google Scholar 

  • Kajiura K (1970) Tsunami source, energy and the directivity of wave radiation. Bull Earthq Res Inst (Univ of Tokyo) 48:835–869

    Google Scholar 

  • Kamigaichi O (2004) JMA earthquake early warning. J Jpn Assoc Earthq Eng 4(Special Issue):134–137

    Google Scholar 

  • Kanamori H, Anderson DL (1975) Theoretical basis of some empirical relations in seismology. Bull Seismol Soc Am 65:1073–1095

    Google Scholar 

  • Kanamori H, Rivera L (2008) Source inversion of W phase: speeding up seismic tsunami warning. Geophys J Int 175:222–238

    Article  ADS  Google Scholar 

  • 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 2013

    Google Scholar 

  • 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 OCEANS

    Google Scholar 

  • Kasahara M, Sasatani T (1986) Body wave analyses of strain seismograms observed at Erimo, Hokkaido, Japan. J Fac Sci Hokkaido Univ Ser VII (Geophys) 8:83–108

    Google Scholar 

  • Katsumata A (2004) Revision of the JMA displacement magnitude. Q J Seismol 67:1–10 (in Japanese)

    Google Scholar 

  • 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 592–601

    Google Scholar 

  • Katsumata A, Ueno H, Aoki S, Yoshida Y, Barrientos S (2013) Rapid magnitude determination from peak amplitudes at local stations. Earth Planet Space 65:843–853

    Article  ADS  Google Scholar 

  • 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/S0578563413500083

    Google Scholar 

  • Kikuchi M, Kanamori H (1991) Inversion of complex body waves, III. Bull Seismol Soc Am 81:2335–2350

    Google Scholar 

  • Lomax A, Michelini A, Piatanesi A (2007) An energy-duration procedure for rapid determination of earthquake magnitude and tsunamigenic potential. Geophys J Int 170:1195–1209

    Article  ADS  Google Scholar 

  • 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 abstract

    Google Scholar 

  • Matsu’ura M, Hasegawa Y (1987) A maximum likelihood approach to nonlinear inversion under constraints. Phys Earth Planet Inter 47:179–187

    Article  ADS  Google Scholar 

  • 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 

  • 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:10.1029/2011JB008750

    ADS  Google Scholar 

  • Okada M, Tanioka Y (1998) Relation of tsunami generation ratio with earthquake magnitude and hypocentral depth. Mon Kaiyo 15(special issue):18–22, in Japanese

    Google Scholar 

  • Okada Y (1985) Surface deformation due to shear and tensile faults in a half-space. Bull Seismol Soc Am 75:1,135–1,154

    Google Scholar 

  • Ozawa S (1996) Geodetic inversion for the fault model of the 1994 Shikotan earthquake. Geophys Res Lett 23(16):2009–2012

    Article  ADS  Google Scholar 

  • 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 94:5,627–5,636

    Article  ADS  Google Scholar 

  • Satake K (1995) Linear and nonlinear computations of the 1992 Nicaragua earthquake tsunami. PAGEOPH 144:455–470

    Article  Google Scholar 

  • Shuto N (1991) Historical changes in characteristics of tsunami disasters. In: Natural disaster reduction and civil engineering. Japan Society of Civil Engineering, pp 77–86

    Google Scholar 

  • Shuto N (1992) Tsunami Intensity and damage. In: Tsunami engineering technical report, vol 9. Tohoku Univ., pp 101–136 (in Japanese)

    Google Scholar 

  • Shuto N (1998) Present state of tsunami research and defense works. Bull Coast Oceanogr 35(2):147–157 (in Japanese)

    ADS  Google Scholar 

  • Shuto N et al (1986) A study of numerical techniques on the tsunami propagation and run-up. Sci Tsunami Hazard 4:111–124

    Google Scholar 

  • Takanami T, Kitagawa G (eds) (2002) Methods and application of signal processing in seismic network operations, vol 98, Lecture Notes in Earth Science. Springer, Berlin

    Google Scholar 

  • 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 Program

    Article  Google Scholar 

  • Tsuboi S, Abe K, Takano K, Yamanaka Y (1995) Rapid determination of Mw from broadband P waveforms. Bull Seismol Soc Am 83:606–613

    Google Scholar 

  • 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:10.1029/2008JB005988

    ADS  Google Scholar 

  • 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 63:821–826

    Article  ADS  Google Scholar 

  • 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:10.1029/2011JB008877

    ADS  Google Scholar 

  • 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 Japanese

    Google Scholar 

  • Utsu T, Shima E, Yoshii T, Yamashina K (eds) (2001) Encyclopedia of earthquakes, 2nd edn. Asakura, Tokyo, p 657, in Japanese

    Google Scholar 

  • 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 85:779–799

    Article  Google Scholar 

  • Wells DL, Coppersmith (1994) New empirical relationships among magnitude, rupture length, rupture width, rupture area, and surface displacement. Bull Seismol Soc Am 84(4):974–1002

    Google Scholar 

  • 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 

  • 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

  • Bormann P (ed) (2002) IASPEI New manual of seismological observatory practice, Vol. 1 and 2, GeoForschungsZentrum Potsdam

    Google Scholar 

  • Satake K (2007) Tsunamis, chap. 4.17. In: Treatise on geophysics, vol.4. Elsevier, Amsterdam, pp 483–511

    Google Scholar 

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Acknowledgments

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

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Correspondence to Osamu Kamigaichi .

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Kamigaichi, O. (2015). Tsunami Forecasting and Warning. In: Meyers, R. (eds) Encyclopedia of Complexity and Systems Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27737-5_568-3

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