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The Operating Experience of the Tsunami Observer Automatic System for Assessment of Earthquake Tsunami Hazard

  • Physics of Earth, Atmosphere, and Hydrosphere
  • Published:
Moscow University Physics Bulletin Aims and scope

Abstract

The Tsunami Observer automatic system for assessment of earthquake tsunami hazard has been operating since January 25, 2018. In this report we analyze the results of the system over the past year and a half, comparison of the estimates made by the system and in situ observations data is performed. The time delay of issue of focal mechanism, which is critical to fast tsunami hazards assessment, is discussed.

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References

  1. E. N. Pelinovsky, Hydrodynamics of Tsunami Waves (Inst. Prikl. Fiz. Ross. Akad. Nauk, Nizhny Novgorod, 1996).

    MATH  Google Scholar 

  2. E. Bryant, Tsunami: The Underrated Hazard (Springer, 2014).

  3. V. K. Gusiakov, Izv., Atmos. Oceanic Phys. 50, 435 (2014).

    Article  ADS  Google Scholar 

  4. M. A. Nosov, Izv., Atmos. Oceanic Phys. 50, 474 (2014).

    Article  ADS  Google Scholar 

  5. B. W. Levin and M. A. Nosov, Physics of Tsunamis, 2nd ed. (Springer, 2016).

  6. A. A. Poplavskii, L. N. Poplavskaya, A. I. Spirin, Yu. Yu. Permikin, and T. V. Nagornykh, J. Volcanol. Seismol. 3, 59 (2009).

    Article  Google Scholar 

  7. V. K. Gusiakov, Seism. Instrum. 47, 203 (2011).

    Article  Google Scholar 

  8. User’s Guide for the Pacific Tsunami Warning Center Enhanced Products for the Tsunami and Other Coastal Hazards Warning System for the Caribbean and Adjacent Regions (CARIBE-EWS) (UNESCO/IOC, Paris, 2017).

  9. Use’s Guide for the Pacific Tsunami Warning Center Enhanced Products for the Pacific Tsunami Warning System (UNESCO/IOC, Paris, 2014).

  10. D. V. Chebrov, Vychisl. Tekhnol. 24(1), 120 (2019).

    Google Scholar 

  11. V. K. Gusiakov, Pure Appl. Geophys. 168, 2033 (2011).

    Article  ADS  Google Scholar 

  12. M. A. Nosov, S. V. Kolesov, A. V. Bol’shakova, G. N. Nurislamova, K. A. Sementsov, and V. A. Karpov, Uch. Zap. Fiz. Fak. Mosk. Gos. Univ., No.5, 1850901 (2018).

  13. Y. Okada, Bull. Seism. Soc. Am. 75, 1135 (1985).

    Google Scholar 

  14. M. Leonard, Bull. Seism. Soc. Am. 100, 1971 (2010).

    Article  Google Scholar 

  15. Y. Tanioka and K. Satake, Geophys. Res. Lett. 23, 861 (1996).

    Article  ADS  Google Scholar 

  16. M. A. Nosov, A. V. Bolshakova, and S. V. Kolesov, Pure Appl. Geophys. 171, 3515 (2014).

    Article  ADS  Google Scholar 

  17. M. A. Nosov and S. V. Kolesov, Moscow Univ. Phys. Bull. 64, 208 (2009) https://doi.org/10.3103/S0027134909020222

    Article  ADS  Google Scholar 

  18. I. V. Fain and E. A. Kulikov, Vychisl. Tekhnol. 16(2), 111 (2011).

    Google Scholar 

  19. M. A. Nosov and K. A. Sementsov, Izv., Atmos. Oceanic Phys. 50, 539 (2014).

    Article  ADS  Google Scholar 

  20. V. K. Gusiakov, in The Sea, Vol. 15: Tsunamis, Ed. by A. Robinson and E. Bernard (Harvard Univ. Press, 2009), p. 23.

  21. NGDC/WDS Global Historical Tsunami Database. https://www.ngdc.noaa.gov/hazard/tsu_db.shtml.

  22. M. A. Nosov and S. V. Kolesov, Pure Appl. Geophys. 168, 1223 (2011).

    Article  ADS  Google Scholar 

  23. http://ocean.phys.msu.ru/projects/tsunami-observer/?id=us1000dyad.

  24. http://ocean.phys.msu.ru/projects/tsunami-observer/?id=gfz2018isln.

  25. http://ocean.phys.msu.ru/projects/tsunami-observer/?id=us1000g3ub.

  26. http://ocean.phys.msu.ru/projects/tsunami-observer/?id=gfz2018pfnz.

  27. http://ocean.phys.msu.ru/projects/tsunami-observer/?id=us1000gjaz.

  28. http://ocean.phys.msu.ru/projects/tsunami-observer/?id=gfz2018qwuk.

  29. http://ocean.phys.msu.ru/projects/tsunami-observer/?id=us1000h3p4.

  30. http://ocean.phys.msu.ru/projects/tsunami-observer/?id=gfz2018tabt.

  31. A. I. Zaytsev, E. N. Pelinovsky, A. Yalciiner, H. Susmoro, G. Prasetya, R. Hidayat, G. I. Dolgikh, S. G. Dolgikh, A. A. Kurkin, G. Dogan, N. Zahibo, and P.I. Pronin, Dokl. Earth Sci. 486, 588 (2019). https://doi.org/10.1134/S1028334X19050295

    Article  Google Scholar 

  32. M. Heidarzadeh, A. Muhari, and A. B. Wijanarto, Pure Appl. Geophys. 176, 25 (2019). https://doi.org/10.1007/s00024-018-2065-9

    Article  ADS  Google Scholar 

  33. http://ocean.phys.msu.ru/projects/tsunami-observer/?id=us1000hhb1.

  34. http://ocean.phys.msu.ru/projects/tsunami-observer/?id=gfz2018uyjt.

  35. http://ocean.phys.msu.ru/projects/tsunami-observer/?id=us1000i2gt.

  36. http://ocean.phys.msu.ru/projects/tsunami-observer/?id=gfz2018xtwo.

  37. http://ocean.phys.msu.ru/projects/tsunami-observer/?id=us600040ja.

  38. http://ocean.phys.msu.ru/projects/tsunami-observer/?id=gfz2019lnrd.

  39. http://ocean.phys.msu.ru/projects/tsunami-observer/?id=us6000417i.

  40. http://ocean.phys.msu.ru/projects/tsunami-observer/?id=gfz2019lrfj.

  41. http://ocean.phys.msu.ru/projects/tsunami-observer/?id=us600042fx.

  42. http://ocean.phys.msu.ru/projects/tsunami-observer/?id=gfz2019lvyz.

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Funding

This work was supported by the Russian Foundation for Basic Research (project no. 19-05-00351).

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Corresponding authors

Correspondence to S. V. Kolesov or M. A. Nosov.

Additional information

Russian Text © The Author(s), 2019, published in Vestnik Moskovskogo Universiteta, Seriya 3: Fizika, Astronomiya, 2019, No. 6, pp. 96–105.

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Kolesov, S.V., Nosov, M.A. The Operating Experience of the Tsunami Observer Automatic System for Assessment of Earthquake Tsunami Hazard. Moscow Univ. Phys. 74, 679–689 (2019). https://doi.org/10.3103/S0027134919060183

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  • DOI: https://doi.org/10.3103/S0027134919060183

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