Skip to main content

Imminent Warning Communication: Earthquake Early Warning and Short-Term Forecasting in Japan and the US

  • Chapter
  • First Online:
Disaster Risk Communication

Part of the book series: Integrated Disaster Risk Management ((IDRM))

Abstract

The ability of scientists to warn communities of the occurrence of potentially damaging earthquakes is evolving, though accurate prediction of the time, location, and magnitude of such earthquakes remains a distant goal. Anticipation of major earthquakes has taken the form of long-term forecasts, earthquake hazard mapping, and scenario development accompanied by societal impact assessments based on loss estimation methodologies. More recently, earthquake early warning systems (EEW), pioneered and first implemented in Japan, facilitated the communication of very short-term alerts that ground motion from an earthquake would arrive in a matter of seconds to tens of seconds. Currently, a nationwide EEW system exists only in Japan, but regional systems are becoming available in many earthquake vulnerable nations, including the US. A second means of anticipating an earthquake is operational earthquake forecasting (OEF) based on the occurrence of seismic activity of various kinds that raises the short-term probability that additional earthquakes, including damaging earthquakes, could occur in hours to a few days. OEF has been implemented in the US and has its most vocal champions among American scientists. These two means of anticipating potentially damaging earthquakes and the communication of information to communities at risk are the subject of this chapter.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Agnew DC, Jones LM (1991) Prediction probabilities from foreshocks. J Geophys Res 96:11959–11971

    Article  Google Scholar 

  • Allen RM, Gasparini P, Kamigaichi O, Böse M (2009) The status of earthquake early warning around the world: an introductory overview. Seismol Res Lett 80(5)

    Article  Google Scholar 

  • Allen RM, Given DD, Heaton TH, Vidale JE (2014) Successful ShakeAlert performance for the Napa quake, Abstract S44D-01 presented at 2014 Fall Meeting, AGU, San Francisco, Calif., 15–19 December

    Google Scholar 

  • Bakun WH, Aagaard B, Dost B, Ellsworth WL, Hardebeck JL, Harris RA, Ji C, Johnston MJS, Langbein J, Lienkaemper JJ, Michael AJ et al (2005) Implications for prediction and hazard assessment from the 2004 Parkfield earthquake. Nature 437(7061):969–974

    Article  Google Scholar 

  • Bakun WH, Lindh AG (1985) The Parkfield, California, earthquake prediction experiment. Science 229:619–624

    Article  Google Scholar 

  • Bakun WH, Fischer FG, Jensen EG, VanSchaack J (1994) Early warning system for aftershocks. Bull Seismol Soc Am 84(2):359–365

    Google Scholar 

  • Bay Area Rapid Transit District (2017, October 18) BART to participate in the Great California ShakeOut 2017. News Release

    Google Scholar 

  • Bolt Bruce (2006) Earthquakes: 2006 centennial update, 5th edn. Freeman, W.H

    Google Scholar 

  • Böse M, Allen R, Brown H, Gua G, Fischer M, Hauksson E, Heaten T, Hellweg M, Liukis M, Neuhauser D, Maechling P (2014) CISN ShakeAlert: an earthquake early warning demonstration system for California. Early warning for geological disasters. Springer, Berlin Heidelberg, pp 49–69

    Chapter  Google Scholar 

  • Cauzzi C, Behr Y, Le Guenan T, Douglas J, Auclair S, Woessner J, Clinton J, Wiemer S (2016) Earthquake early warning and operational earthquake forecasting as real-time hazard information to mitigate seismic risk at nuclear facilities. Bull Earthq Eng 14(9):2495–2512

    Article  Google Scholar 

  • Doughton S (2017, April 10) Earthquake early-warning system comes to Washington—but it’s not for the public yet, Seattle Times. https://www.seattletimes.com/seattle-news/science/earthquake-early-warning-system-comes-to-washington-but-its-not-for-the-public-yet/

  • Field EH (2007) A summary of previous working groups on California earthquake probabilities. Bull Seismol Soc Am 97(4):1033–1053

    Article  Google Scholar 

  • Field EH, Arrowsmith RJ, Biasi GP, Bird P, Dawson TE, Felzer KR, Jackson DD, Johnson KM, Jordan TH, Madden C, Michael AJ (2014) Uniform California earthquake rupture forecast, version 3 (UCERF3)—The time-independent model. Bull Seismol Soc Am 104(3):1122–1180

    Article  Google Scholar 

  • Field EH, Biasi GP, Bird P, Dawson TE, Felzer KR, Jackson DD, Johnson KM, Jordan TH, Madden C, Michael AJ, Milner KR (2015) Long-term time-dependent probabilities for the third Uniform California Earthquake Rupture Forecast (UCERF3). Bull Seismol Soc Am 105(2A):511–543

    Article  Google Scholar 

  • Field EH, Milner KR, Hardebeck JL, Page MT, van der Elst N, Jordan TH, Michael AJ, Shaw BE, Werner MJ (2017) A spatiotemporal clustering model for the Third Uniform California Earthquake Rupture Forecast (UCERF3-ETAS): toward an operational earthquake forecast. Bull Seismol Soc Am 107(3):1049–1081

    Article  Google Scholar 

  • Field EH, Jordan TH, Jones LM, Michael AJ, Blanpied ML, Other Workshop Participants (2016) The potential uses of operational earthquake forecasting. Seismol Res Lett 87(2A) https://doi.org/10.1785/02201501874

  • Frankel A, Chen R, Petersen M, Moschetti M, Sherrod B (2015) 2014 Update of the Pacific Northwest portion of the US National Seismic Hazard Maps. Earthq Spectra 31(S1):S131–S148

    Article  Google Scholar 

  • Fujinawa Y, Noda Y (2013) Japan’s earthquake early warning system on 11 March 2011: performance, shortcomings, and changes. Earthq Spectra 29(S1):S341–S368

    Article  Google Scholar 

  • Geller RJ (2011) Shake-up time for Japanese seismology. Nature 472:407–409

    Article  Google Scholar 

  • Gerstenberger MC, Wiemer S, Jones LM, Reasenberg PL (2005) Real-time forecasts of tomorrow’s earthquakes in California. Nature 435(7040):328–331

    Article  Google Scholar 

  • Given DD, Cochran ES, Heaton T, Hauksson E, Allen R, Hellweg P, Vidale J, Bodin P (2014) Technical implementation plan for the ShakeAlert production system—an earthquake early warning system for the West Coast of the United States: U.S. Geological Survey Open-File Report 2014–1097, p 25. http://dx.doi.org/10.3133/ofr20141097

  • Goltz JD (2003) Applications for new real-time seismic information: the TriNet project in Southern California. Seismol Res Lett 4(5):516–521

    Article  Google Scholar 

  • Goltz JD (2015) A further note on operational earthquake forecasting: an emergency management perspective. Seismol Res Lett 86(5). https://doi.org/10.1785/0220150080

    Article  Google Scholar 

  • Gomberg J, Atwater B, Beeler N, Bodin P, Davis E, Frankel A, Hayes G, McConnell V, Melbourne T, Oppenheimer D, Parrish J and others (2015) Earthquake forewarning in the Cascadia region. US Geological Survey Open-File Report, 1151(8)

    Google Scholar 

  • Grapenthin R, Johanson I, Allen RM (2014) The 2014 Mw6.0 Napa earthquake, California: observations from real-time GPS-enhanced earthquake early warning. Geophys Res Lett 41:8269–8276. https://doi.org/10.1002/2014GL061923

    Article  Google Scholar 

  • Hall SS (2011) At Fault? Nature 477:264–269

    Article  Google Scholar 

  • Hartog JR, Kress VC, Malone SD, Bodin P, Vidale JE, Crowell BW (2016) Earthquake early warning: ShakeAlert in the Pacific Northwest. Bull Seismol Soc Am 106(4):1875–1886

    Article  Google Scholar 

  • Hayes G, Meyers EK, Dewey JW, Briggs RW (2017) Tectonic summaries of magnitude 7 and greater earthquakes from 2000 to 2015. USGS Open-File Report, 2016–1192

    Google Scholar 

  • Heaton TH, Series N, May N (1985) A model for a seismic computerized alert network. Science 228:987–990

    Article  Google Scholar 

  • Hickey H (2017, April 10) USGS, partners launch a unified, West Coast-wide earthquake early warning system, University of Washington News

    Google Scholar 

  • Holden R, Reichle M, Lee R (1989) Technical and economic feasibility of an earthquake warning system in California (Special Publication 101, California Division of Mines and Geology)

    Google Scholar 

  • Japan Meteorological Agency (2012) Results of the survey on the utilization of emergency earthquake information. http://www.jma.go.jp/jma/press/1203/22c/manzokudo201203.html (in Japanese)

  • 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.data.jma.go.jp/svd/eqev/data/en/tsunami/LessonsLearned_Improvements_brochure.pdf

  • Japan Meteorological Agency (First Observed 2017) Emergency warning system: a new service to protect life, http://www.jma.go.jp/jma/en/Emergency_Warning/Leaflet (Emergency_Warning_System).pdf

  • Japan Meteorological Agency (2016) On the 2016 Kumamoto earthquake (the 39th report) (press release). http://www.jma.go.jp/ma/press/1606/10a/kaisetsu201606101000.pdf

  • Japan Ministry of Internal Affairs and Communications (2014) Booklet of best practices of resilient ICT systems in Japan. http://www.soumu.go.jp/main_content/000372211.pdf

  • Japan Times (2016, July 7) Don’t rely on quake predictions, Editorial

    Google Scholar 

  • Japan Times (2017, November 5) Anticipating a major Nankai Trough quake, Editorial

    Google Scholar 

  • Jones LM (1985) Foreshocks and time-dependent earthquake hazard assessment in southern California. Buletin Seismol Soc Am 75:1669–1679

    Google Scholar 

  • Jordan TH, Jones LM (2010) Operational earthquake forecasting: some thoughts on why and how. Seismol Res Lett 81:571–574

    Article  Google Scholar 

  • Jordan TH, Marzocchi W, Michael AJ, Gerstenberger MC (2014) Operational earthquake forecasting can enhance earthquake preparedness. Seismol Res Lett 85(5):955–959

    Article  Google Scholar 

  • Jordan TH, Chen YT, Gasparini P, Maderiaga R, Main I, Marzocchi W, Papadopoulos G, Sobolev G, Yamaoaka K, Zschau J (2011) Operational earthquake forecasting: state of knowledge and guidelines for implementation: final report of the international commission on earthquake forecasting for civil protection. Ann Geophys 54(4):315–391. https://doi.org/10.4401/ag-5350

    Article  Google Scholar 

  • Jordan TH (2013) Lessons of L’Aquila for operational earthquake forecasting. Seismol Res Lett 84(1). https://doi.org/10.1785/0220120167

    Article  Google Scholar 

  • Kamiyama M, Sugito M, Kuse M (2012) Precursor of crustal movements before the 2011 Great East Japan earthquake. In: Proceedings of the international symposium on engineering lessons learned from the 2011 Great East Japan earthquake, March 1–4 2012, Tokyo, Japan

    Google Scholar 

  • Kodera Y, Saitou J, Hayashimoto N, Adachi S, Morimoto M, Nishimae Y (2016) Earthquake early warning for the 2016 Kumamoto earthquake: performance evaluation of the current system and the next generation methods of the Japan Meteorological Agency. Earth, Planets and Space 68:202. https://doi.org/10.1186/s40623-016-0567-1

    Article  Google Scholar 

  • Kohler MD, Cochran ES, Given D, Guiwits S, Neuhauser D, Henson I, Hartog R, Bodin P, Kress V, Thompson S, Felizardo C, Brody J, Bhadha R, Schwarz S (2017) Earthquake early warning ShakeAlert system: West Coast wide production prototype. Seismol Res Lett 89(1):99–107. https://doi.org/10.1785/0220170140

    Article  Google Scholar 

  • Llenos AL, Michael AJ (2013) Modeling earthquake rate changes in Oklahoma and Arkansas: possible signatures of induced seismicity. Bull Seismol Soc Am 103(5):2850–2861

    Article  Google Scholar 

  • Marzocchi W, Lombardi AM, Casarotti E (2014) The establishment of an operational earthquake forecasting system in Italy. Seismol Res Lett 85(5):961–969

    Article  Google Scholar 

  • Mavrommatis AP, Segall P, Johnson KM (2014) A decadal-scale deformation transient prior to the 2011 Mw 9.0 Tohoku-oki earthquake. Geophys Res Lett 41:4486–4494. https://doi.org/10.1002/2014GL060139

    Article  Google Scholar 

  • Michael AJ, Field EH, Hardebeck J, Llenos AL, Milner KR, Page MT, Perry SC, van der Elst N, Wein AM (2016) Aftershock forecasting: recent developments and lessons from the 2016 M5.8 Pawnee, Oklahoma earthquake, Abstract S51E-3172 presented at 2016 Fall Meeting, AGU, San Francisco, Calif., 12–16 December

    Google Scholar 

  • Mileti D, Sorensen J (1990) Communication of emergency public warnings, ORNL-6609. Oak Ridge National Laboratory, Oak Ridge, Tennessee

    Google Scholar 

  • Mileti DS, Fitzpatrick C, Farhar BC (1992) Fostering public preparations for natural hazards: lessons from the Parkfield earthquake prediction. Environment: Science and Policy for Sustainable Development 34(3):16–39

    Google Scholar 

  • Mileti DS (1999) Disasters by design: a reassessment of natural hazards in the United States. Joseph Henry Press, Washington, D.C.

    Google Scholar 

  • Miyazaki SI, McGuire JJ, Segall P (2011) Seismic and aseismic fault slip before and during the 2011 off the Pacific coast of Tohoku Earthquake. Earth, Planets Space 63(7):23

    Article  Google Scholar 

  • Musson RM, Cecić I (2012) Intensity and intensity scales. New Man Seism Obs Pract 2:1–41

    Google Scholar 

  • Nakashima T, Okada S, Shinoda A (2017) The importance of seismic death risk assessment of households in the Kumamoto earthquake of 2016. J Disaster Res 12(6):1151–1160

    Article  Google Scholar 

  • Nanjo KZ, Tsuruoka H, Yokoi S, Ogata Y, Falcone G, Hirata N, Schorlemmer D (2012) Predictability study on the aftershock sequence following the 2011 Tohoku-Oki, Japan, earthquake: first results. Geophys J Int 191(2):653–658

    Article  Google Scholar 

  • National Institute of Earth Science and Disaster Prevention (NIED) (2012) Seismograph Networks (Hi-net, F-net, Kik-net). http://www.bosai.go.jp/e/research/the_second/earthquake/facilities.html

  • Ogata Y (1988) Statistical models for earthquake occurrences and residual analysis for point processes. J Am Stat Assoc 83:9–27

    Article  Google Scholar 

  • Ogata Y (1998) Space-time point-process models for earthquake occurrences. Ann Inst Stat Math 50(2):379–402

    Article  Google Scholar 

  • Ogata Y, Zhuang J (2006) Space–time ETAS models and an improved extension. Tectonophysics 413(1):13–23

    Article  Google Scholar 

  • Ohara M, Meguro K, Tanaka A (2011) Survey on people’s awareness of earthquake early warning before and after the 2011 Off the Pacific Coast of Tohoku Earthquake. In: Proceedings of the 10th international symposium on new technologies for urban safety of mega cities in Asia, Chiang Mai, Thailand, October 2011, 163–171

    Google Scholar 

  • Page MT, Van Der Elst N, Hardebeck J, Felzer K Michael AJ (2016) Three ingredients for improved global aftershock forecasts: Tectonic region, time‐dependent catalog incompleteness, and intersequence variability. Bulletin Seismol Soc Am 106(5). https://doi.org/10.1785/0120160073

    Article  Google Scholar 

  • Prado M (2016, September 24) Bay Area earthquake probabilities increase, updated USGS forecast says, The Mercury News, www.mercurynews.com/2016/09/24/bay-area-earthquake-probabilities-increase-updated-usgs-forecast-says/. Accessed 8 Jan 2018

  • Reasenberg PA (1999) Foreshock occurrence before large earthquakes. J Geophys Res Solid Earth 104(B3):4755–4768

    Article  Google Scholar 

  • Reasenberg PA, Jones LM (1989) Earthquake hazard after a mainshock in California. Science 243:1173–1176

    Article  Google Scholar 

  • Reasenberg PA, Jones LM (1994) Earthquake aftershocks: update. Science 265:1251

    Article  Google Scholar 

  • Rhoades DA, Liukis M, Christophersen A, Gerstenberger MC (2016) Retrospective tests of hybrid operational earthquake forecasting models for Canterbury. Geophys J Int 204(1):440–456

    Article  Google Scholar 

  • Richter CF (1958) Elementary seismology. W.H. Freeman and Company, San Francisco and London, viii+768 pp

    Google Scholar 

  • Rikitake T (1979) The large-scale earthquake countermeasures act and the earthquake prediction council in Japan. EOS Trans AGU 60(32):553–555. https://doi.org/10.1029/EO060i032p00553

    Article  Google Scholar 

  • Roeloffs E, Goltz J (2017) The California earthquake advisory plan: Aa history. Seismol Res Lett 88(3). https://doi.org/10.1785/0220160183

    Article  Google Scholar 

  • Roeloffs E, Langbein J (1994) The earthquake prediction experiment at Parkfield. California Rev Geophys 32(3):315–336

    Article  Google Scholar 

  • Segall P, Bradley AM (2012) Slow‐slip evolves into megathrust earthquakes in 2D numerical simulations. Geophys Res Lett 39(18). https://doi.org/10.1029/2012gl052811

  • Stover CW, Coffman JL (1993) Seismicity of the United States, 1568–1989 (Revised). United States geological survey professional paper 1527, U.S. Government Printing Office, Washington D.C

    Google Scholar 

  • Strader A, Schneider M, Schorlemmer D (2017) Prospective and retrospective evaluation of five-year earthquake forecast models for California. Geophys J Int 211(1):239–251

    Article  Google Scholar 

  • Uehira K, Kanazawa T, Mochizuki M, Fujimoto H, Noguchi S, Shimbo T, Shiomi K, Kunugi K, Aoi S, Matsumoto T, Sekiguchi S, Okada Y, Shinohara M, Yamada T (2015) Outline of seafloor observation network for Earthquakes and Tsunamis along the Japan Trench (S-net). EGU General Assembly 2016(EGU2016-13832):2016

    Google Scholar 

  • Umeda S (2013) Japan: legal responses to the Great East Japan Earthquake of 2011, The Law Library of Congress, Global Legal Research Center (September), law@loc.gov

    Google Scholar 

  • United States Geological Survey (2016) ShakeAlert, https://www.shakealert.org/implementation/beta-users/

  • Wallace RE, Scott S (1999) Connection: the EERI Oral History Series, Robert E. Wallace, https://www.eeri.org/site/images/projects/oralhistory/wallace.pdf. Accessed 4 Jan 2018)

  • Wang K, Rogers GC (2014) Earthquake preparedness should not fluctuate on a daily or weekly basis. Seismol Res Lett 85:569–571

    Article  Google Scholar 

  • Wein A, Becker J (2013) Communicating aftershock risk: Roles for reassuring the public, Risk Frontiers 13. https://www.riskfrontiers.com/newsletters/rfnewsVol13_Issue3_Dec13_web.pdf

  • Wood HO, Neumann F (1931) Modified Mercalli intensity scale of 1931. Bull Seismol Soc Am 21(4):277–283

    Google Scholar 

  • Working Group on California Earthquake Probabilities (WGCEP) (1988) Probabilities of large earthquakes occurring in California on the San Andreas fault. U.S. Geological Survey, Open-File Report 88-398, 62

    Google Scholar 

  • Working Group on California Earthquake Probabilities (WGCEP) (1990) Probabilities of large earthquakes in the San Francisco Bay Region, California. U.S. Geological Survey Circular 1053, 51

    Google Scholar 

  • Working Group on California Earthquake Probabilities (WGCEP) (D. D. Jackson, K. Aki, C. A. Cornell, J. H. Dieterich, T. L. Henyey, M. Mahdyiar, D. Schwartz, S. N. Ward) (1995) Seismic hazards in southern California: probable earthquakes, 1994–2024. Bull Seismol Soc Am 85:379–439

    Google Scholar 

  • Zechar JD, Schorlemmer D, Liukis M, Yu J, Euchner F, Maechling PJ, Jordan TH (2010) The collaboratory for the study of earthquake predictability perspective on computational earthquake science. Concurr Comput Pract Exp 22(12):1836–1847

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to James D. Goltz .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Goltz, J.D., Roeloffs, E. (2020). Imminent Warning Communication: Earthquake Early Warning and Short-Term Forecasting in Japan and the US. In: Yamori, K. (eds) Disaster Risk Communication. Integrated Disaster Risk Management. Springer, Singapore. https://doi.org/10.1007/978-981-13-2318-8_8

Download citation

Publish with us

Policies and ethics