Seismic Electric Signals: An additional fact showing their physical interconnection with seismicity

2013 ◽  
Vol 589 ◽  
pp. 116-125 ◽  
Author(s):  
P.A. Varotsos ◽  
N.V. Sarlis ◽  
E.S. Skordas ◽  
M.S. Lazaridou
Keyword(s):  
Seismic Electric Signals ◽  
Electric Signals

Pulsed Charge Model of Fault Behavior Producing Seismic Electric Signals (SES)

1997 ◽  
Vol 07 (03) ◽  
pp. 153-164 ◽  
Author(s):  
Motoji Ikeya ◽  
Shunji Takaki ◽  
Hiroshi Matsumoto ◽  
Atsushi Tani ◽  
Takahide Komatsu
Keyword(s):  
Power Spectra ◽  
Charge Generation ◽  
Electric Pulses ◽  
Charge Densities ◽  
Seismic Electric Signals ◽  
Atmospheric Molecules ◽  
Fault Behavior ◽  
Charge Model ◽  
Seismic Stress ◽  
Electric Signals

The electromagnetic (EM) behavior of a geological fault is postulated to follow the mathematical model of a fault in seismology that illustrates seismic EM anomalies EMAs). Charge densities, +q and -q in C/m2 are generated at a fault zone by the change in seismic stress, α as d q/ d t = -α d σ/ d t - q/∊ρ, where σ,∊ and ρ are the charge generation constants measured in C/N, dielectric constant and reisitivity of bedrocks, respectively. A fault of length, 2a, plane area, A and the displacement or rupture time, τ gives pulsed charge densities, +q(t) and -q(t), or a dipole moment of P(t) = 2aAq(t) = αM0[∊ρ/(τ - ∊ρ) - exp (-t/∊ρ)] using the earthquake moment M0. Maxwell's equations for this dipole in a conductive earth give power spectra of EM waves at diferrent distances. Seismic electric signals (SES) including the DC VAN method can be explained as EM waves. Electrons with density n in the atmosphere are accelerated by the electric field and travel a distance l. resulting in the exictation and ionization of atmospheric molecules leading to earthquake lightning (EQL). They also polarize the ionosphere by disturbing the transmission of EM waves prior to an earthquake and artificial electronic noises. The same pulsed field surprised eels and hamsters, suggesting seismic anomalous animal ehavious animal behavior (SAAB) as electro-physiological responses to the stimuli of electric pulses.

scholarly journals Comments on the generation mechanism of Seismic Electric Signals

2011 ◽  
Vol 11 (12) ◽  
pp. 3093-3096 ◽  
Author(s):  
E. Dologlou
Keyword(s):  
Power Law ◽  
Thermodynamic Model ◽  
Stress Drop ◽  
Lead Time ◽  
Generation Mechanism ◽  
Laboratory Measurements ◽  
Bulk Properties ◽  
Seismic Electric Signals ◽  
Electric Signals ◽  
Recent Laboratory

Abstract. Recent laboratory measurements on rocks under varying pressure lead to results which strengthen a model suggested by the author for the explanation of the power law relation that interconnects the lead time of Seismic Electric Signals and earthquake stress drop. In addition, recent applications of a thermodynamic model that interrelates the defect parameters in materials of geophysical interest and their bulk properties open a new window to further advance the aforementioned explanation.

scholarly journals Electrical precursors of earthquakes in Aegean Sea during the last decade (1997–2007)

2008 ◽  
Vol 8 (1) ◽  
pp. 123-128 ◽  
Author(s):  
E. Dologlou ◽  
V. Hadjicontis ◽  
C. Mavromatou
Keyword(s):  
Lead Time ◽  
Aegean Sea ◽  
Time Difference ◽  
Lead Times ◽  
Main Interest ◽  
Seismic Electric Signals ◽  
Precursors Of Earthquakes ◽  
Electric Signals ◽  
Large Earthquakes ◽  
Regional Tectonics

Abstract. The purpose of this study is to investigate some properties of the Seismic Electric Signals (SES) that preceded large earthquakes which occurred in the Aegean Sea (24–27)° E, (37–40)° N, during the last decade. Our main interest is focused on the important parameter of the lead time Δt, which is the time difference between the occurrence of the earthquake and the detection of the associated SES signal. Two groups of lead times, a short (i.e. Δt~ some weeks) and a long one (Δt~ some months) have been observed. We examine whether this difference could be related to the regional tectonics. Furthermore the property of SES selectivity is discussed.

Statistical significance of the precursory minima of the order parameter fluctuations of seismicity by modern methods of Statistical Physics

2020 ◽  
Author(s):  
Panayiotis A. Varotsos ◽  
Nicholas V. Sarlis ◽  
Efthimios S. Skordas ◽  
Stavros-Richard G. Christopoulos
Keyword(s):  
Time Series ◽  
Order Parameter ◽  
Statistical Physics ◽  
Statistical Significance ◽  
Time Analysis ◽  
Seismic Electric Signals ◽  
Natural Time ◽  
Natural Time Analysis ◽  
Global Seismicity ◽  
Electric Signals

<p>An order parameter for seismicity was introduced in the frame of natural time analysis [1].  Recent studies of the fluctuations of this order parameter revealed the existence of minima preceding major earthquakes [2-7]. Here, we review the statistical significance of these minima by using recent methods of Statistical Physics, such as receiver operating characteristics [8] and event coincidence analysis [9,10]. These methods are also applied to the investigation [11] of the statistical significance of Seismic Electric Signals [12].</p><p>References</p><ol><li>Varotsos, P.A.; Sarlis, N.V.; Skordas, E.S. Natural Time Analysis: The new view of time. Precursory Seismic Electric Signals, Earthquakes and other Complex Time-Series; Springer-Verlag: Berlin Heidelberg, 2011.</li> <li>Sarlis, N.V.; Skordas, E.S.; Varotsos, P.A.; Nagao, T.; Kamogawa, M.; Tanaka, H.; Uyeda, S. Minimum of the order parameter fluctuations of seismicity before major earthquakes in Japan, Proc. Natl. Acad. Sci. USA 110 (2013) 13734–13738, dx.doi.org/10.1073/pnas.1312740110.</li> <li>Varotsos, P.A.; Sarlis, N.V.; Skordas, E.S. Study of the temporal correlations in the magnitude time series before major earthquakes in Japan. J. Geophys. Res.: Space Physics 119 (2014) 9192–9206, dx.doi.org/10.1002/2014JA020580.</li> <li>Sarlis, N.V.; Christopoulos, S.R.G.; Skordas, E.S. Minima of the fluctuations of the order parameter of global seismicity. Chaos 25 (2015) 063110, dx.doi.org/10.1063/1.4922300.</li> <li>Sarlis, N.V.; Skordas, E.S.; Christopoulos, S.-R.G.; Varotsos, P.A. Statistical significance of minimum of the order parameter fluctuations of seismicity before major earthquakes in Japan, Pure Appl. Geophys. 173 (2016) 165–172, dx.doi.org/10.1007/s00024-014-0930-8.</li> <li>Sarlis, N.V.; Skordas, E.S.; Mintzelas, A.; Papadopoulou, K.A. Micro-scale, mid-scale, and macro-scale in global seismicity identified by empirical mode decomposition and their multifractal characteristics. Scientific Reports 8 (2018) 9206, dx.doi.org/10.1038/s41598-018-27567-y.</li> <li>Mintzelas, A.; Sarlis, N. Minima of the fluctuations of the order parameter of seismicity and earthquake networks based on similar activity patterns. Physica A 527 (2019) 121293, dx.doi.org/10.1016/j.physa.2019.121293.</li> <li>Fawcett, T., An introduction to ROC analysis, Pattern Recognit. Lett. 27 (2006) 861–874, dx.doi.org/10.1016/j.patrec.2005.10.010.</li> <li>Donges, J.; Schleussner, C.F.; Siegmund, J.; Donner, R. Event coincidence analysis for quantifying statistical interrelationships between event time series. The European Physical Journal Special Topics 225 (2016) 471–487, dx.doi.org/10.1140/epjst/e2015-50233-y.</li> <li>Siegmund, J.F.; Siegmund, N.; Donner, R.V. CoinCalc - A new R package for quantifying simultaneities of event series. Computers & Geosciences 98 (2017) 64-72, dx.doi.org/10.1016/j.cageo.2016.10.004.</li> <li>Sarlis, N.V. Statistical Significance of Earth’s Electric and Magnetic Field Variations Preceding Earthquakes in Greece and Japan Revisited. Entropy 20 (2018) 561, dx.doi.org/10.3390/e20080561.</li> <li>Varotsos, P.; Lazaridou, M. Latest aspects of earthquake prediction in Greece based on seismic electric signals, Tectonophysics 188 (1991) 321–347, dx.doi.org/10.1016/0040-1951(91)90462-2.</li> </ol>

SHORT TERM EARTHQUAKE PREDICTION IN GREECE BY SEISMIC ELECTRIC SIGNALS

1996 ◽  
pp. 29-76 ◽  
Author(s):  
P. VAROTSOS ◽  
M. LAZARIDOU ◽  
K. EFTAXIAS ◽  
G. ANTONOPOULOS ◽  
J. MAKRIS ◽  
...  
Keyword(s):  
Earthquake Prediction ◽  
Short Term ◽  
Seismic Electric Signals ◽  
Electric Signals
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