Skip to main content
Log in

Methodology, results, and problems of forecasting earthquakes

  • On the Rostrum of the RAS Presidium
  • Published:
Herald of the Russian Academy of Sciences Aims and scope Submit manuscript

Abstract

In densely populated large cities and complex engineering environments, violation of the standard functioning procedures of which is fraught with many negative consequences, floods, volcanic eruptions, natural fires, earthquakes, and tsunamis caused by earthquakes are factors of social and economic instability. In addition, all the above natural disasters are hard to predict and erroneous predictions sometimes lead to damages comparable in scale. Nevertheless, the prediction methods are being improved; in particular, substantial progress has been reached in recent decades in midterm forecasting earthquakes, and this success would have been impossible without the contribution of Russian scientists to the development of these studies. It becomes obvious from the paper published below and heard at a meeting of the RAS Presidium that the available knowledge and approaches allow us to establish the time interval, the localization zone, and the magnitude of an anticipated earthquake and to determine the probability of its occurrence. This information is designed to neutralize at least part of the negative consequences of the seismic activity of our planet.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. G. A. Sobolev, “The concept of earthquake predictability based on seismic dynamics under the trigger effect,” in Extreme Natural Phenomena and Catastrophes (RAN, Moscow, 2010), Vol. 1 [in Russian].

    Google Scholar 

  2. G. A. Sobolev, “Seismicity dynamics and earthquake predictability,” Nat. Hazards Earth Syst. Sci. 11, 1 (2011).

    Article  Google Scholar 

  3. S. A. Fedotov, A. V. Solomatin, and S. D. Chernyshev, “A long-term earthquake forecast for the Kuril-Kamchatka arc for the period from September 2011 to August 2016. The likely location, time, and evolution of the next great earthquake with M ≥ 7.7 in Kamchatka,” J. Volcanol. Seismol. 6(2), 65 (2012).

    Article  Google Scholar 

  4. G. A. Sobolev, “Seismological evidence for the nucleation of two strong earthquakes,” Izv., Phys. Solid Earth 44(11), 873 (2008).

    Article  Google Scholar 

  5. A. D. Zav’yalov, A Medium-Term Earthquake Forecast (Nauka, Moscow, 2006) [in Russian].

    Google Scholar 

  6. A. A. Lyubushin, “Synchronization trends and rhythms of multifractal parameters of the field of low-frequency microseisms,” Izv., Phys. Solid Earth 45(5), 369 (2009).

    Article  Google Scholar 

  7. A. Lyubushin, “Prognostic properties of low-frequency seismic noise,” Natural Science 4, Special Issue, 659 (2012).

    Article  Google Scholar 

  8. V. G. Kossobokov, “Earthquake prediction: 20 years of global experiment,” Natural Hazards 69, 1155 (2013).

    Article  Google Scholar 

  9. G. Sobolev and V. Chebrov, “The experience of realtime earthquake predictions on Kamchatka,” in Earthquake Hazard, Risk, and Disasters, Ed. by M. Wyss and J. L. Shroder (Elsevier, 2014), pp. 449–473.

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gennadii Aleksandrovich Sobolev.

Additional information

Original Russian Text © G.A. Sobolev, 2015, published in Vestnik Rossiiskoi Akademii Nauk, 2015, Vol. 85, No. 3, pp. 203–208.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sobolev, G.A. Methodology, results, and problems of forecasting earthquakes. Her. Russ. Acad. Sci. 85, 107–111 (2015). https://doi.org/10.1134/S1019331615020069

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1019331615020069

Keywords

Navigation