International Journal of Earth Sciences

, Volume 103, Issue 6, pp 1527–1532 | Cite as

The critical behaviour of a power law between preseismic electric signals and earthquakes of different mechanism in Greece and Japan

  • Elizabeth Dologlou
Review article


The consistency of the critical exponent in the power law relation between the stress drop of the earthquake and the lead time of the precursory seismic electric signal is checked using new data from the recent M w 4.9 earthquake of strike-slip mechanism that occurred on 12 November 2013 in northern Evia island, Greece and the megathrust M w 9.0 Tohoku earthquake on 11 March 2011, in Japan. For the first case, the derived exponent is in excellent agreement with previous ones obtained from all non thrust events analysed by the author and matches the value of critical exponent for fracture. On the other hand, the megathrust Tohoku earthquake follows the behaviour of all thrust events studied by the author, and thus, the calculated exponent significantly deviates from this critical value. The different behaviour between non thrust and thrust-type events could be attributed to the fact that thrust mechanism earthquakes usually occur in collision or subduction zones which are characterised by high accumulation of strain. However, a larger number of thrust events are required in order to obtain reliable results and shed light in the above experimental findings.


Evia-Greece Japan SES Lead time Stress drop Power law 


  1. Abe S, Sarlis NV, Skordas ES, Tanaka HK, Varotsos PA (2005) Origin of the usefulness of the natural time representation of complex time series. Phys Rev Lett 94:170601. doi: 10.1103/PhysRevLett.94.170601 Google Scholar
  2. Doglioni C, Agostini S, Crespi M, Innocenti F, Manetti P, Riguzzi F, Savasçin Y (2002) On the extension in western Anatolia and the Aegean sea. In: Rosenbaum G, Lister GS (eds) Reconstruction of the evolution of the Alpine-Himalayan Orogen. J Virtual Explorer 8: 161–176. doi: 10.3809/jvirtex.2002.00049
  3. Dologlou E (2008a) Possible relationship between Seismic Electric Signals (SES) lead time and earthquake stress drop. Proc Jpn Acad Ser B 84:117–122. doi: 10.2183/pjab.84.117 Google Scholar
  4. Dologlou E (2008b) Power law relationship between parameters of earthquakes and precursory electrical phenomena. Nat Hazards Earth Syst Sci 8:977–983. doi: 10.5194/nhess-8-977-2008 Google Scholar
  5. Dologlou E (2009) Power law relationship between parameters of earthquakes and precursory electrical phenomena revisited. Nat Hazards Earth Syst Sci 9:17–23. doi: 10.5194/nhess-9-17-2009 Google Scholar
  6. Dologlou E (2010) Power law relationship between parameters of earthquakes and precursory electrical phenomena revisited II. Nat Hazards Earth Syst Sci 10:1403–1409. doi: 10.5194/nhess-10-1403-2010 Google Scholar
  7. Dologlou E (2012) Stability of a power law relation between characteristics of earthquakes and electric precursors. Nat Hazards Earth Syst Sci 12:1783–1787. doi: 10.5194/nhess-12-1783-2012 Google Scholar
  8. Dologlou E (2013) Features of criticality in precursory seismic electric signals and earthquakes in Greece. Nonlin Process Geophys 20:411–416. doi: 10.5194/npg-20-411-2013 Google Scholar
  9. Dologlou E (2014) Brief communication: the recent seismic activity in Central Greece in 2013 and its precursory electric signals in terms of criticality. Nonlin Process Geophys 21:149–153Google Scholar
  10. Dologlou E, Hadjicontis V, Mavromatou C (2008) Electrical precursors of earthquakes in Aegean Sea during the last decade (1997–2007). Nat Hazards Earth Syst Sci 8:123–128. doi: 10.5194/nhess-8-123-2008 Google Scholar
  11. Gokhberg M, Morgunov V, Tomizawa I (1982) Experimental measurements of electromagnetic emissions possibly related to earthquake in Japan. J Geophys Res 87:7824–7828Google Scholar
  12. Hanks T, Wyss M (1972) The use of body wave spectra in the determination of seismic source parameters. Bull Seism Soc Am 62:561–589Google Scholar
  13. Hayakawa M, Itoh T, Hattori K, Yumoto K (2000) ULF electromagnetic precursors for an earthquake at Biak, Indonesia on 17 February 1996. Geophys Res Lett 27:1531–1534Google Scholar
  14. Kiratzi AA, Wagner GS, Langston CA (1991) Source parameters of some large earthquakes in Northern Aegean determined by body waveform inversion. Pure Appl Geophys (PAGEOPH) 135:515–527Google Scholar
  15. Orihara Y, Kamogawa M, Nagao T, Uyeda S (2012) Preseismic anomalous telluric current signals observed in Kozu-shima Island, Japan. Proc Natl Acad Sci USA 109:19125–19128. doi: 10.1073/pnas.1215669109 Google Scholar
  16. Sarlis N, Varotsos P (2002) Magnetic field near the outcrop of an almost horizontal conductive sheet. J Geodyn 33:463–476Google Scholar
  17. Sarlis NV, Skordas ES, Lazaridou MS, Varotsos PA (2008) Investigation of the seismicity after the initiation of a Seismic Electric Signal activity until the main shock. Proc Jpn Acad Series Β 84:331–343Google Scholar
  18. Sarlis NV, Varotsos PA, Skordas ES (2013a) Fluctuation theorem and natural time analysis. ArXiv e-prints arXiv:1301.7634v4 [cond-mat.stat-mech] 13 pp, online first 2013Google Scholar
  19. Sarlis NV, Skordas ES, Varotsos PA, Nagao T, Kamogawa M, Tanaka H, Uyeda S (2013b) Minimum of the order parameter fluctuations of seismicity before major earthquakes in Japan. Proc Natl Acad Sci USA 110:3734–13738. doi: 10.1073/pnas.1312740110 Google Scholar
  20. Skordas ES, Sarlis NV (2014) On the anomalous changes of seismicity and geomagnetic field prior to the 2011 Mw 9.0 Tohoku earthquake. J Asian Earth Sci 80:161–164Google Scholar
  21. Taymaz T, Jackson JA, McKenzie D (1991) Active tectonics of the north and central Aegean Sea. Geophys J Int 106:433–490Google Scholar
  22. Telesca L, Lapenna V, Macchiato M (2005) Multifractal fluctuations in seismic interspike series. Phys A 354:629–640. doi: 10.1016/j.physa.2005.02.053 Google Scholar
  23. Teotia SS, Kumar D (2011) Role of multifractal analysis in understanding the preparation zone for large size earthquake in the North-Western Himalaya region. Nonlin Proc Geophys 18:111–118. doi: 10.5194/npg-18-111-2011 Google Scholar
  24. Uyeda S, Hayakawa M, Nagao T, Molchanov O, Hattori K, Orihara Y, Gotoh K, Akinaga Y, Tanaka H (2002) Electric and magnetic phenomena observed before the volcano-seismic activity in 2000 in the Izu Island Region Japan. PNAS 99:7352–7355. doi: 10.1073/pnas.072208499 Google Scholar
  25. Varotsos PA (2005) The Physics of Seismic Electric Signals. TerraPub Tokyo 2005Google Scholar
  26. Varotsos P (2007) Calculation of point defect parameters in diamond. Phys Rev B 75:172107. doi: 10.1103/PhysRevB.75.172107 Google Scholar
  27. Varotsos P, Alexopoulos K (1977) Calculation of the formation entropy of vacancies due to anharmonic effects. Phys Rev B 15:4111–4114Google Scholar
  28. Varotsos P, Alexopoulos K (1984a) Physical properties of the variations of the electric field of the earth preceding earthquakes, I. Tectonophysics 110:73–98Google Scholar
  29. Varotsos P, Alexopoulos K (1984b) Physical properties of the variations of the electric field of the earth preceding earthquakes, II. Determination of epicentre and magnitude. Tectonophysics 110:99–125Google Scholar
  30. Varotsos P, Alexopoulos K (1986) Thermodynamics of point defects and their relation with the bulk properties. North Holland, AmsterdamGoogle Scholar
  31. Varotsos P, Lazaridou M (1991) Latest aspects of earthquake prediction in Greece based on seismic electric signals. Tectonophysics 188:321–347Google Scholar
  32. Varotsos P, Alexopoulos K, Lazaridou M (1993) Latest aspects of earthquake prediction in Greece based on Seismic Electric Signals II. Tectonophysics 224:1–37Google Scholar
  33. Varotsos PA, Sarlis NV, Skordas ES (2001) Spatio-temporal complexity aspects on the interrelation between seismic electric signals and seismicity. Practica Athens Acad 76:294–321Google Scholar
  34. Varotsos PA, Sarlis NV, Skordas ES (2002) Long-range correlations in the electric signals that precede rupture. Phys Rev E 66:article 011902. doi: 10.1103/PhysRevE.66.011902 Google Scholar
  35. Varotsos PA, Sarlis NV, Skordas ES (2003) Electric fields that ‘‘Arrive’’ before the time derivative of the magnetic field prior to major earthquakes. Phys Rev Lett 91:148501–148504. doi: 10.1103/PhysRevLett.91.148501 Google Scholar
  36. Varotsos P, Sarlis N, Skordas E, Tanaka H, Lazaridou M (2006a) Entropy of seismic electric signals: analysis in natural time under time reversal. Phys Rev E 73:article 031114. doi: 10.1103/PhysRevE.73.031114 Google Scholar
  37. Varotsos P, Sarlis N, Skordas E, Tanaka H, Lazaridou M (2006b) Attempt to distinguish long-range temporal correlations from the statistics of the increments by natural time analysis. Phys Rev E 74:article 021123. doi: 10.1103/PhysRevE.74.021123 Google Scholar
  38. Varotsos PA, Sarlis NV, Skordas ES (2011) Natural time analysis: the new view of time Precursory seismic electric signals, earthquakes and other complex time-series. Springer, BerlinGoogle Scholar
  39. Varotsos PA, Sarlis NV, Skordas ES, Lazaridou MS (2013) Seismic Electric Signals: An additional fact showing their physical interconnection with seismicity. Tectonophysics 589:116–125. doi: 10.1016/j.tecto.2012.12.020 Google Scholar
  40. Xu G, Han P, Huang Q, Hattori K, Febriani F, Yamaguchi H (2013) Anomalous behaviours of geomagnetic diurnal variations prior to the 2011 off the Pacific coast Tohoku earthquake (Mw 9.0). J Asian Earth Sci 77:59–65Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Solid State Section, Department of PhysicsUniversity of AthensAthensGreece

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