Ionospheric precursors of earthquakes and Global Electric Circuit

Пулинец, С. А.; Davidenko, Dmitry

doi:10.1016/j.asr.2013.12.035

Cited by 218 publications

(227 citation statements)

References 45 publications

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“…Together the studies suggest that the ionosphere not only in the lower region but also is extremely sensitive to the pre-seismic activity in the F2 layer. A few possible mechanisms for seismo-ionospheric perturbations have already been proposed (e.g., Hayakawa et al 2004;Pulinets and Boyarchuk 2004;Molchanov and Hayakawa 2008) but it is not well understood and which mechanism is dominant (Hayakawa et al 2011).…”

Section: Introductionmentioning

confidence: 99%

“…It has been recently shown that there exist electromagnetic precursors to earthquakes (EQs) (e.g., Hayakawa 1999Hayakawa , 2009aHayakawa and Molchanov 2002;Pulinets and Boyarchuk 2004;Molchanov and Hayakawa 2008;Uyeda et al 2009;Hayakawa and Hobara 2010). The observation of seismo-electromagnetic and related phenomena can be customarily classified into the two categories: (1) direct effects emitted from the lithosphere and received on the Earth's surface, and (2) the indirect effects of EQs which are the perturbations (or disturbances) taking place either in the atmosphere or in the ionosphere due to pre-EQ lithospheric activities.…”

Section: Introductionmentioning

confidence: 99%

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The Ionospheric Precursor to the 2011 March 11 Earthquake Based upon Observations Obtained from the Japan-Pacific Subionospheric VLF/LF Network

Hayakawa¹,

Hobara²,

Рожной³

et al. 2013

Terr. Atmos. Ocean. Sci.

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By using network observation of subionospheric VLF (very low frequency)/LF (low frequency) signals in Japan and in Russia, we have found a significant ionospheric perturbation prior to the recent 2011 March 11 Japan earthquake (EQ) which occurred at sea proximate to the Tohoku area on the main island (Honshu) of Japan was an exceptionally huge plate-type EQ. A remarkable anomaly (with a decrease in the nighttime amplitude and also with enhancement in dispersion) was detected on March 5 and 6 along the propagation path from the NLK (Seattle, USA) transmitter to Chofu (together with Kochi and Kasugai). We also have observed the corresponding VLF anomaly during a prolonged period of March 1 -6, with minima in the nighttime amplitude on March 3 and 4 along the path from JJI (Miyazaki, Kyushu) to Kamchatka, Russia. This ionospheric perturbation has been discussed extensively with respect to its reliability. (1) How abnormal is this VLF/LF propagation anomaly? (2) What was the temporal evolution of terminator times? (3) Were there any solar-terrestrial effects (especially the effect from geomagnetic storms) on the VLF/LF propagation anomaly? (4) The effect of any other EQs and foreshock activities on the VLF/LF anomaly? (5) Were there any correlations with other related phenomena? Finally, (6) are there any other examples of a VLF/LF propagation anomaly for oceanic EQs? We then compared the temporal properties of ionospheric perturbations for this EQ with those of a huge number of inland EQs and compared the corresponding spatial scale with the former result of the same oceanic 2004 Sumatra EQ with nearly the same magnitude. Finally, the generation mechanism of those seismo-ionospheric perturbations is briefly discussed.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Ionospheric Precursor to the 2011 March 11 Earthquake Based upon Observations Obtained from the Japan-Pacific Subionospheric VLF/LF Network

Hayakawa¹,

Hobara²,

Рожной³

et al. 2013

Terr. Atmos. Ocean. Sci.

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“…The process cause electromagnetic anomalies that can be used as precursors of earthquakes (Freund et al, 2006). These anomalies that appear in the ionosphere before the main seismic shock can be considered as ionospheric precursors (Pulinets and Boyarchuk, 2004;Le et al, 2011). The main phenomenological features of ionospheric variations appearing before strong earthquakes are well established and are described by Legen'ka et al (2003), where the GPS TEC is useful to register pre-earthquake ionospheric anomalies (Liu et al, 2004).…”

Section: Introductionmentioning

confidence: 96%

Analysis of Ionospheric Precursor of Earthquake using GIM-TEC, Kriging and Neural Network

Sompota¹,

Puspito²,

Joelianto³

et al. 2015

Asian J. of Earth Sciences

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Analysis of ionospheric precursor is not easy because the ionosphere is very dynamic as well as the earthquake phenomena. If the analysis method is the same dynamics with the earthquake phenomena, the estimation of earthquake parameters is possible to be realized. Neural network is an adaptive system that changes its structure to solve the problem during a learning phase. Therefore, the neural network is potentially to estimate the parameter of earthquake based on ionospheric precursor. A preliminary attempt was made to construct the neural network that can estimate the epicenter area. The GIM-TEC star method is useful to determine ionospheric anomalies associated with large earthquakes as ionospheric precursor data. The Kriging method is good to interpolate GIM-TEC star data as input of neural networks to estimate the epicenter area. The conclusion of five models of the ionosphere anomalies due to seismic activity show that the epicenter is at the edge of the less developed anomalies, whereas, for the growing anomalies, the epicenter is always located near the boundary of high and low density of TEC anomalies. The boundary is projection of the boundary of the unstressed and stressed rock area below the earth's surface.

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“…Therefore, the nonlinear influence from solar radiation at the monthly timescale can be efficiently removed through the MWT-based method by eliminating the wavelet's 6th order approximation. The association of seismic events with ionospheric parameters are known (Pulinets & Boyarchuk 2004). Many researchers have been successful in finding the anomaly character in the ionospheric TEC (Liu et al 2000(Liu et al , 2001Hayakawa & Molchanov 2002;Pulinets 2004;Liu et al 2006;Karia & Pathak 2011;He et al 2012;Karia et al 2013Karia et al , 2014.…”

Section: Correlation Coefficient Detailsmentioning

confidence: 99%

Removal of solar radiation effect based on nonlinear data processing technique for Seismo-Ionospheric Anomaly before few earthquakes

Yadav

Karia

Pathak

2015

Geomatics, Natural Hazards and Risk

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The study of ionospheric precursorsof earthquakehas gained interest among many researchers, specially the precursor obtained in terms of anomalous variation in total electron content (TEC). If earthquake occurs during a period of moderate to high solar activity, the TEC derived using global positioning system (GPS) measurements requires the elimination of solar effect so as to identify the precursory signature. This paperincludes multi-resolution time series technique to remove the nonlinear effect from solar radiation on GPS-based TEC. The technique is based on wavelet transform applicable to RINEX TEC data. This technique is used to remove nonlinear background solar effect from TEC prior to four different earthquakes (M > 6.0). Further in order to evaluate the extracted TEC, we obtain the correlation between the decomposed TEC A6 and measured solar index (F10.7) and extreme ultraviolet (EUV). A good correlation is obtained between decomposed TEC A6 and EUV for all the cases. This suggests that this technique is useful in removal of background solar effect for identifying earthquake precursor in TEC.

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Ionospheric precursors of earthquakes and Global Electric Circuit

Cited by 218 publications

References 45 publications

The Ionospheric Precursor to the 2011 March 11 Earthquake Based upon Observations Obtained from the Japan-Pacific Subionospheric VLF/LF Network

The Ionospheric Precursor to the 2011 March 11 Earthquake Based upon Observations Obtained from the Japan-Pacific Subionospheric VLF/LF Network

Analysis of Ionospheric Precursor of Earthquake using GIM-TEC, Kriging and Neural Network

Removal of solar radiation effect based on nonlinear data processing technique for Seismo-Ionospheric Anomaly before few earthquakes

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