International Electronic Journal of Mathematics Education

The Research of Geophysical Fields of South Yakutia
  • Article Type: Research Article
  • International Electronic Journal of Mathematics Education, 2016 - Volume 11 Issue 8, pp. 2975-2984
  • Published Online: 07 Sep 2016
  • Article Views: 652 | Article Download: 628
  • Open Access Full Text (PDF)
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Tereschenko MV, Grib NN, Mackey K. The Research of Geophysical Fields of South Yakutia. Int Elect J Math Ed. 2016;11(8), 2975-2984.
APA 6th edition
In-text citation: (Tereschenko et al., 2016)
Reference: Tereschenko, M. V., Grib, N. N., & Mackey, K. (2016). The Research of Geophysical Fields of South Yakutia. International Electronic Journal of Mathematics Education, 11(8), 2975-2984.
Chicago
In-text citation: (Tereschenko et al., 2016)
Reference: Tereschenko, Maksim V., Nikolay N. Grib, and Kevin Mackey. "The Research of Geophysical Fields of South Yakutia". International Electronic Journal of Mathematics Education 2016 11 no. 8 (2016): 2975-2984.
Harvard
In-text citation: (Tereschenko et al., 2016)
Reference: Tereschenko, M. V., Grib, N. N., and Mackey, K. (2016). The Research of Geophysical Fields of South Yakutia. International Electronic Journal of Mathematics Education, 11(8), pp. 2975-2984.
MLA
In-text citation: (Tereschenko et al., 2016)
Reference: Tereschenko, Maksim V. et al. "The Research of Geophysical Fields of South Yakutia". International Electronic Journal of Mathematics Education, vol. 11, no. 8, 2016, pp. 2975-2984.
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Tereschenko MV, Grib NN, Mackey K. The Research of Geophysical Fields of South Yakutia. Int Elect J Math Ed. 2016;11(8):2975-84.

Abstract

The data analysis of observations of seismic activity was conducted over the period of 2008-2012. The information about the quantity of seismic events which took place, the released seismic energy, and the distribution of parameters within the periods has been estimated. The lgN (K) dependency graph for the earthquake K = 11-15 ahs been plotted for South Yakutia region. The data resulting observations and the analysis conducted allow to identify the potential geophysical forerunners of earthquakes, determine their relationship to seismic activity in South Yakutia. The reliable forerunners of earthquakes have been indicated for the rapid assessment of seismic hazard. It is concluded that the anomalous distribution of seismic events in time leads to the possibility of constructing a model of seismic events with the necessary condition for the significant number of experiments conduct in order to obtain more reliable estimates of random variables in the model. Conducting a comprehensive interpretation of the observed geophysical forerunners, comparison of graphs of geophysical parameters, taking into account previous earthquake foreshocks make possible to forecast the approximate place of occurrence and the strength of earthquakes.

References

  • Berkhemer, H., Zschau, J., Ergunay, O. (1988) The German-Turkish Project on earthquake prediction research, concept and first results, in Proceedings of the ECE/UN. Seminar on Prediction of Earthquakes (pp. 579-601). C. S. Olivera, ed., Lisbon.
  • Chao, B. F., Gross, R. S. (1987) Changes in the Earth's rotation and low-degree gravitational field induced by earthquakes. Geophys. J. R. astr. Soc., 91, 569-596.
  • Chao, B. F., Gross, R. S. (1995-a) Changes in the Earth's rotational energy induced by earthquakes. Geophys. J. Int., 122, 776-783.
  • Chao, B. F., Gross, R. S., Dong, D-N. (1995-b) Changes in global gravitational energy induced by earthquakes. Geophys. J. Int., 122, 784-789.
  • Erhabor, N. I., Don, J. U. (2016) Impact of Environmental Education On the Knowledge and Attitude of Students Towards the Environment. International Journal of Environmental and Science Education, 11(12), 5367-5375. Direct access: http://www.ijese.net/makale/712
  • Fedotov, S. A. (1968) Of the seismic cycle, the possibility of quantitative seismic zoning and long-term earthquake forecasting. Seismic zoning of the USSR (pp. 121-150). Moscow: Nauka.
  • Gao, Y., Chen, X., Hu, H., Wen, J., Tang, J., Fang, G. (2014) Induced electromagnetic field by seismic waves in earth's magnetic field. Journal of Geophysical Research Atmos., 119(7), 5651-5685.
  • Garcia, R. F., Doornbos, E., Bruinsma, S., Hebert, H. (2014) Atmospheric gravity waves due to the Tohoku-Oki tsunami observed in the thermosphere by Goce. Journal of Geophysical Research Atmos., 119(5), 4498-4506.
  • Klausner, V., Kherani, E. A., Muella, M. T., Mendes, O. (2015) Rayleigh and acoustic gravity waves detection on magnetograms during the Japanese Tsunami, 2011. Journal of Geophysical Research, 15, 21-24.
  • Klausner, V., Mendes, O., Domingues, M.O., Papa, A.R.R., Tyler, R.H., Frick, P., Kherani, E.A. (2014) Advantage of wavelet technique to highlight the observed geomagnetic perturbations linked to the Chilean tsunami (2010). Journal of Geophysical Research: Space Physics, 119(4), 3077-3093.
  • Shebalin, P. (2006) Increased correlation range of seismicity before large eventsmanifested by earthquake chains. Tectonophysics, 424, 335-349
  • Shoda, A., Ando, ​​M., Ishidoshiro, K., Okada, K., Kokuyama, W., Aso, Y., Tsubono, K. (2014) Search for a stochastic gravitational-wave background using a pair of torsion-bar antennas. Phys. Rev. D., 89, 027-101. DOI: 10.1103/PhysRevD.89. 027101. Direct access:  http://dx.doi.org/10.1103/PhysRevD.89.027101.
  • Singh, M., Kumar, M., Jain, R. K., Chatrath, R. P. (1999) Radon in ground water related to seismic events. Radiation Measurements, 30, 465-469.
  • Sobolev, G. A., Ratushny, V. V., Kushnir, G. S. (1990) A concept of earthquake prediction in USSR. Moscow: IFZ AN USSR.
  • Stein, R. S., Toda, S., Parsons, T., Grunewald, E. (2006) A new probabilistic seismic hazard assessment for greater Tokyo. Phil. Trans. Roy. Soc. A, 364, 1965-1986. DOI: 10.1098/rsta.2006.1808.
  • Tiampo, K. F., Rundle, J. B., McGinnis, S. A., Klein, W. (2002b) Pattern dynamics and forecast methods in seismically active regions. Pure Appl. Geophys., 159, 2429-2467.
  • Tsapanos, T. M. (2008) Seismicity and seismic hazard assessment in Greece. In E. S. Husebey, editor, Earthquake Monitoring and Seismic Hazard Mitigation in Balkan Countries (pp. 253-270), Springer.
  • Uyeda, S., Nagao, T., Kamogawa, M. (2009b) Short-term earthquake prediction: Current status of seismo-electromagnetics. Tectonophysics, 470, 205-213. DOI: 10.1016/j.tecto.2008.07.019.
  • Wang, L. et al. (2012) Coseismic slip of the 2010 Mw 8.8 Great Maule, Chile, earthquake quantified by the inversion of Grace observations. Earth planet. Sci. Lett., 335, 167-179.
  • Yang, Y.-M., Komjathy, A., Langley, R. B., Vergados, P., Butala, M. D., Mannucci, A. J. (2014) The 2013 Chelyabinsk meteor ionospheric impact studied using GPS measurements. Radio Sci., 49, 341-350.
  • Zavyalov, D. (2006) The medium-term forecast of earthquakes: the basics, methods, implementation. Moscow: Nauka.

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.