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Cross Correlation Analysis of Mozambique’s 7.0 M Earthquake Using the Empirical Mode Decomposition

DOI: 10.4236/oalib.1101184, PP. 1-7

Subject Areas: Geophysics, Atmospheric Sciences

Keywords: Ionospheric Anomaly, Geomagnetic Perturbations, Ionosphere, Hilbert-Huang Transforms (HHT) and Cross Correlation Coefficient Method

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Abstract

Precise determinations of ionospheric anomaly variations associated with earthquakes require the elimination of other sources of ionospheric variabilities like ionospheric storms, geomagnetic perturbations or geophysical noise. However, revealing the seismo-ionospheric anomalies when the ionosphere is known to be a complex and nonlinear system is of utmost importance. To overcome this constraint, Hilbert-Huang transform (HHT), which is a far better technique for both nonlinear and non-stationary system like ionosphere, was applied together with the cross correlation coefficient method to a 7.0 magnitude earthquake that occurred in Mozambique on 23rd of February, 2006. Three Stations (two within the earthquake preparation zone) with hourly data of f0F2 for one month were used for the study. The results clearly revealed anomalies that are as a result of the earthquake. These were first noticed 10 days and another 3 days before the occurrence of this large earthquake.

Cite this paper

Elemo, E. O. (2015). Cross Correlation Analysis of Mozambique’s 7.0 M Earthquake Using the Empirical Mode Decomposition. Open Access Library Journal, 2, e1184. doi: http://dx.doi.org/10.4236/oalib.1101184.

References

[1]  Xu, T., Hu, Y., Wu, J., Wu, Z., Suo, Y. and Feng, J. (2010) Giant Disturbance in the Ionospheric F2 Region Prior to the M8.0 Wenchuan Earthquake on 12 May 2008. Annales Geophysicae, 28, 1533-1538.
http://dx.doi.org/10.5194/angeo-28-1533-2010
[2]  Silina, A.S., Liperovskaya, E.V., Liperovsky, V.A. and Meister, C.-V. (2001) Ionospheric Phenomena before Strong Earthquakes. Natural Hazards and Earth System Sciences, 1, 113-118.
http://dx.doi.org/10.5194/nhess-1-113-2001
[3]  Pulinets, S.A. and Boyarchuk, K.A. (2004) Ionospheric Precursors of Earthquakes. Springer, Berlin.
[4]  Pulinets, S.A. (1998) Seismic Activity as a Source of the Ionospheric Variability. Advance Space Research, 22, 903- 906.
http://dx.doi.org/10.1016/S0273-1177(98)00121-5
[5]  Pulinets, S.A., Gaivoronska, T.B., Leyva Contreras, A. and Ciraolo, L. (2004) Correlation Analysis Technique Revealing Ionospheric Precursors of Earthquakes. Natural Hazards and Earth System Sciences, 4, 697-702.
http://dx.doi.org/10.5194/nhess-4-697-2004
[6]  Pulinets, S.A. (1998) Seismic Activity as a Source of the Ionospheric Variability. Advances in Space Research, 22, 903-906.
http://dx.doi.org/10.1016/S0273-1177(98)00121-5
[7]  Flandrin, P. (1999) Time-Frequency/Time-Scale Analysis. Academic Press, Cambridge, 386 p.
[8]  Grochenig, K. (2001) Foundations of Time-Frequency Analysis. Birkhauser, Switzerland, 359 p.
http://dx.doi.org/10.1007/978-1-4612-0003-1
[9]  Diks, C. (1999) Nonlinear Time Series Analysis: Methods and Applications. World Scientific Press, Singapore, 180 p.
http://dx.doi.org/10.1142/3823
[10]  Kantz, H. and Schreiber, T. (1999) Nonlinear Time Series Analysis. Cambridge University Press, Cambridge, 304 p.
[11]  Tong, H. (1990) Nonlinear Time Series Analysis. Oxford University Press, Oxford, 564 p.
[12]  Huang, N.E., Long, S.R. and Shen, Z. (1996) The Mechanism for Frequency Downshifts in Nonlinear Wave Evolution. Advances in Applied Mechanics, 32, 59-111.
http://dx.doi.org/10.1016/S0065-2156(08)70076-0
[13]  Huang, N.E., Shen, Z., Long, S.R., Wu, M.C., Shih, H.H., Zheng, Q., Yen, N.C., Tung, C.C. and Liu, H.H. (1998) The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-Stationary Time Series Analysis. Proceedings of the Royal Society of London, Series A, 454, 903-995.
http://dx.doi.org/10.1098/rspa.1998.0193
[14]  Huang, N.E., Shen, Z. and Long, S.R. (1999) A New View of Water Waves: The Hilbert Spectrum. Annual Review of Fluid Mechanics, 31, 417-457.
http://dx.doi.org/10.1146/annurev.fluid.31.1.417
[15]  Huang, N.E., Wu, M.C., Long, S.R., Shen, S.S.P., Qu, W., Gloersen, P. and Fan, K.L. (2003) A Confidence Limit for Empirical Mode Decomposition and Hilbert Spectral Analysis. Proceedings of the Royal Society of London, Series A, 459, 2317-2345.
http://dx.doi.org/10.1098/rspa.2003.1123
[16]  Tsolis, G.S. and Xenos, T.D. (2009) Seismo-Ionospheric Coupling Correlation Analysis of Earthquakes in Greece, Using Empirical Mode Decomposition. Nonlinear Processes in Geophysics, 16, 123-130.
http://dx.doi.org/10.5194/npg-16-123-2009
[17]  Dobrovolsky, I.R., Zubkov, S.I. and Myachkin, V.I. (1979) Estimation of the Size of Earthquake Preparation Zones. Pure and Applied Geophysics, 117, 1025-1044.
http://dx.doi.org/10.1007/BF00876083
[18]  Pulinets, S. and Davidenko, D. (2014) Ionospheric Precursors of Earthquakes and Global Electric Circuit. Advances in Space Research, 53, 709-723.
http://dx.doi.org/10.1016/j.asr.2013.12.035

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