Express Method for Operational Tsunami Forecasting: Possibility of its Application on the Pacific Coast of Russia

Yu. P. Korolev

Institute of Marine Geology and Geophysics, Far Eastern Branch of RAS, Yuzhno-Sakhalinsk, Russian Federation

e-mail: Yu_P_K@mail.ru

Abstract

Purpose. The work is aimed at studying the possibility of short-term tsunami forecasting in the Kuril Islands based on the data on tsunamis in the open ocean.

Methods and Results. The methods underlying the actions of tsunami warning services in the northwestern Pacific Ocean are considered. The warning services relying on primary seismological information on an earthquake (magnitude criterion), produce a large number of false tsunami alarms. An adequate forecast is provided by the services that use information on a tsunami formed in the open ocean (hydrophysical methods). The problem of short-term (operational) tsunami forecasting for the Kuril Islands is described. Information on the actions of tsunami warning services during the events is provided. The process of forecasting using the express method of tsunami operational forecast is numerically simulated under the assumption of obtaining real-time information on tsunamis in the ocean. The events of 2006–2020 in the northwest Pacific Ocean are simulated. The results of numerical experiments involving actual data confirms the fact that the express method can be used for a short-term tsunami forecast in specific locations of the Kuril Islands with an advance time sufficient for taking a timely decision to declare an alarm and evacuate the population from hazardous places..

Conclusions. Development of the express method for short-term tsunami forecasting, provided that information on tsunamis in the ocean is available quickly, will make it possible to improve in future the quality of forecasting and thereby reduce the number of false tsunami alarms on the Kuril Islands. The necessity of creating own, Russian, deep-sea ocean level measurement stations is shown.

Keywords

tsunami, tsunami forecast, short-term tsunami forecast, operational tsunami forecast, tsunami alarm, false tsunami alarms, Tohoku tsunami, ocean level, ocean level measurements, tsunami warning services, Pacific Ocean, Kuril Islands

Acknowledgements

The author is grateful to the reviewers for their useful comments and suggestions, which were taken into account when finalizing the article.

Original russian text

Original Russian Text © Yu. P. Korolev, 2024, published in MORSKOY GIDROFIZICHESKIY ZHURNAL, Vol. 40, Iss. 5 (2024)

For citation

Korolev, Yu.P., 2024. Express Method for Operational Tsunami Forecasting: Possibility of its Application on the Pacific Coast of Russia. Physical Oceanography, 31(5), pp. 736-754.

References

  1. Bernard, E. and Titov, V., 2015. Evolution of Tsunami Warning Systems and Products. Philosophical Transactions of Royal Society A, 373, 20140371. https://doi.org/10.1098/rsta.2014.0371
  2. Kânoğlu, U., Titov, V., Bernard, E. and Synolakis, C., 2015. Tsunamis: Bridging Science, Engineering and Society. Philosophical Transactions of Royal Society A, 373, 20140369. https://doi.org/10.1098/rsta.2014.0369
  3. Korolev, Yu.P., 2023. Evaluation of the Express Method Effectiveness in Short-Term Forecasting on the Examples of the Peruvian (2007) and the Chilean (2010, 2014 and 2015) Tsunamis. Physical Oceanography, 30(3), pp. 315-330. https://doi.org/10.29039/1573-160X-2023-3-315-330
  4. Korolev, Yu.P., 2011. An Approximate Method of Short-Term Tsunami Forecast and the Hindcasting of Some Recent Events. Natural Hazards and Earth System Sciences, 11(11), pp. 3081-3091. https://doi.org/10.5194/nhess-11-3081-2011
  5. Gusiakov, V.K., 2011. Relationship of Tsunami Intensity to Source Earthquake Magnitude as Retrieved from Historical Data. Pure and Applied Geophysics, 168(11), pp. 2033-2041. https://doi.org/10.1007/s00024-011-0286-2
  6. Gusiakov, V.K., 2016. Tsunamis on the Russian Pacific Coast: History and Current Situation. Russian Geology and Geophysics, 57(9), pp. 1259-1268. https://doi.org/10.1016/j.rgg.2016.08.011
  7. Allen, S.C.R. and Greenslade, D.J.M., 2016. A Pilot Tsunami Inundation Forecast System for Australia. Pure and Applied Geophysics, 173, pp. 3955-3971. https://doi.org/10.1007/s00024-016-1392-y
  8. Frolov, A.V., Kamaev, D.A., Martyshchenko, V.A., and Shershakov, V.M., 2012. Experience of the Russian Tsunami Warning System Updating. Russian Meteorology and Hydrology, 37(6), pp. 357-368. https://doi.org/10.3103/S1068373912060015
  9. Percival, D.B., Denbo, D.W., Eblé, M.C., Giga, E., Mofjeld, H.O., Spillane, M.C., Tang, L. and Titov, V.V., 2011. Extraction of Tsunami Source Coefficients via Inversion of DART® Buoy Data. Natural Hazards, 58(1), pp. 567-590. https://doi.org/10.1007/s11069-010-9688-1
  10. Titov, V.V., 2009. Tsunami Forecasting. In: E.N. Bernard and A.R. Robinson, eds., 2009. Tsunamis. The Sea: Ideas and Observations on Progress in the Study of the Seas, vol. 15. Cambridge, MA; London, England: Harvard University Press, pp. 367-396.
  11. Voronina, T.A. and Voronin, V.V., 2023. Data Selection Method for Restoring a Tsunami Source Form. Geosystems of Transition Zones, 7(3), pp. 292-303. https://doi.org/10.30730/gtrz.2023.7.3.292-303
  12. Kaystrenko, V.M., Shevchenko, G.V. and Ivelskaya, T.N., 2011. Manifestation of the Tohoku Tsunami of 11 March, 2011 on the Russian Pacific Ocean Coast. Problems of Engineering Seismology, 38(1), pp. 41-64 (in Russian).
  13. Levin, B.W., Kaistrenko, V.M., Rybin, A.V., Nosov, M.A., Pinegina, T.K., Razzhigaeva, N.G., Sasorova, E.V., Ganzei, K.S., Ivel'skaya, T.N. [et al.], 2008. Manifestations of the Tsunami on November 15, 2006, on the Central Kuril Islands and Results of the Runup Heights Modeling. Doklady Earth Sciences, 419(1), pp. 335-338. https://doi.org/10.1134/S1028334X08020335
  14. MacInnes, B.T., Pinegina, T.K., Bourgeois, J., Razhigaeva, N.G., Kaistrenko, V.M. and Kravchunovskaya, E.A., 2009. Field Survey and Geological Effects of the 15 November 2006 Kuril Tsunami in the Middle Kuril Islands. Pure and Applied Geophysics, 166, pp. 9-36. https://doi.org/10.1007/s00024-008-0428-3
  15. Korolev, Yu.P. and Korolev, P.Yu., 2020. Simulation of the Process of Short-Term Forecasting of the 25.03.2020 Onekotan Tsunami. Geosystems of Transition Zones, 4(2), pp. 259- 265. https://doi.org/10.30730/gtrz.2020.4.2.259-265 (in Russian).
  16. Shevchenko, G.V., Ivel’skaya, T.N., Kovalev, P.D., Kovalev, D.P., Kurkin, A.A., Levin, B.V., Likhacheva, O.N., Chernov, A.G. and Shishkin, A.A., 2011. New Data about Tsunami Evidence on Russia’s Pacific Coast Based on Instrumental Measurements for 2009-2010. Doklady Earth Sciences, 438(2), pp. 893-898. https://doi.org/10.1134/S1028334X11060341
  17. Shevchenko, G., Ivelskaya, T., Loskutov, A. and Shishkin, A., 2013. The 2009 Samoan and 2010 Chilean Tsunamis Recorded on the Pacific Coast of Russia. Pure and Applied Geophysics, 170, pp. 1511-1527. https://doi.org/10.1007/s00024-012-0562-9
  18. Korolev, Yu.P. and Ivelskaya, T.N., 2012. Improving Operational Tsunami Forecast and Tsunami Alarm. Analysis of Recent Tsunamis. Issues of Risk Analysis, 9(2), pp. 76-91 (in Russian).
  19. Korolev, Y.P. and Khramushin, V.N., 2016. Short-Term Forecast of Tsunami Occurred on April 1, 2014 on the Kuril Islands Coast. Russian Meteorology and Hydrology, 41(4), pp. 293-298. https://doi.org/10.3103/S1068373916040099
  20. Lavrentiev, M., Lysakov, K., Marchuk, A., Oblaukhov, K. and Shadrin, M., 2019. Fast Evaluation of Tsunami Waves Heights around Kamchatka and Kuril Islands. Science of Tsunami Hazards, 38(1), pp. 1-13. Available at: http://www.tsunamisociety.org/STHVol38N1Y2019.pdf [Accessed: 15 April 2024].
  21. Smith, W.H.F. and Sandwell, D.T., 1994. Bathymetric Prediction from Dense Satellite Altimetry and Sparse Shipboard Bathymetry. Journal of Geophysical Research: Solid Earth, 99(B11), pp. 21803-21824. https://doi.org/10.1029/94JB00988
  22. Smith, W.H.F. and Sandwell, D.T., 1997. Global Sea Floor Topography from Satellite Altimetry and Ship Depth Soundings. Science, 277(5334), pp. 1956-1962. doi:10.1126/science.277.5334.1956
  23. Pararas-Carayanis, G., 2011. Tsunamigenic Source Mechanism and Efficiency of the March 11. 2011 Sanriku Earthquake in Japan. Science of Tsunami Hazards, 30(2), pp. 126-152. Available at: http://www.tsunamisociety.org/STHVol30N2Y2011.pdf [Accessed: 15 June 2024].

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