Earthquake precursory signatures in electromagnetic radiation measurements in terms of day-to-day fractal spectral exponent variation: analysis of the eastern Aegean 13/04/2017–20/07/2017 seismic activity

Cantzos, Demetrios; Nikolopoulos, Dimitrios; Petraki, Ermioni; Yannakopoulos, Panayiotis H.; Nomicos, C.

doi:10.1007/s10950-018-9781-6

Cited by 11 publications

(29 citation statements)

References 59 publications

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“…Seismic prognosis is significant among the scientific community but, despite the tremendous efforts, the earthquakes are still hard to predict [5][6][7][8]. Due to this, it remains an elusive and challenging task to identify credible and unambiguous seismic precursors [9]. To this end, different types of pre-earthquake signals are recorded [5,7,8,10,11], related to unusual activity in the regions of crust cracking and fracture [12].…”

Section: Introductionmentioning

confidence: 99%

“…The recent research focuses on the measurement of pre-seismic electromagnetic (EM) disturbances recorded by ground stations, e.g., [9,[19][20][21][22][23][24][25][26][27][28][29] and satellites, e.g., [30,31], atmospheric and soil radon variations [1][2][3][4][5][6][13][14][15][16][17][18] and other gas emissions [5,6], as well as conventional seismograph data [32,33]. In particular, the pre-earthquake EM phenomena range between 0.001 Hz and 1 Hz (ultra-low frequencies-ULF), e.g., [5,8,10,[22][23][24][25][26][27][28][29][34][35][36][37][38][39][40][41]…”

Section: Introductionmentioning

confidence: 99%

“…Five different time-evolving chaos analysis methods are employed (detrended fluctuation analysis-DFA, analysis of fractal dimensions via Higuchi's, Katz's and Sevcik's methods and power-law spectral fractal analysis). All these methods have been used by the reporting team with success in several pre-earthquake EM and radon signals in Greece [1][2][3][4]9,[13][14][15][16][17][18]20,21]. The goal is to discover if long-lasting and fractal trends exist in time-evolving sections of the recorded EM time series that could be considered to be signs of predictability prior to each one of the 17 earthquakes that constitute the post-seismic activity of the M L = 6.6 Zante earthquake, assessing these as potential precursors.…”

Section: Introductionmentioning

confidence: 99%

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Long-Lasting Patterns in 3 kHz Electromagnetic Time Series after the ML = 6.6 Earthquake of 2018-10-25 near Zakynthos, Greece

et al. 2020

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This paper reports one-month 3 kHz EM disturbances recorded at Kardamas, Ilia, Greece after a strong M L = 6.6 earthquake occurred on 2018/10/25 near Zakynthos and Ilia. During this period 17 earthquakes occurred with magnitudes M L = 4.5 and M L = 5.5 and depths between 3 km and 17 km, all near Zakynthos and Ilia. A two-stage, fully computational methodology was applied to the outcomes of five different time-evolving chaos analysis techniques (DFA, fractal dimension analysis through Higuchi, Katz and Sevcik methods and power-law analysis). Via literature-based thresholds, the out-of-threshold results of all chaos analysis methods were located and from these, the common time instances of 13 selected combinations per five, four, three and two methods. Numerous persistent segments were located with DFA exponents between 1.6 ≤ α ≤ 2.0 , fractal dimensions between 1.4 ≤ D ≤ 2.0 and power-law exponents between 2.2 ≤ β ≤ 3.0 . Out of the 17 earthquakes, six earthquakes were jointly matched by 13 selected combinations of five, four, three and two chaos analysis methods, four earthquakes by all combinations of four, three and two, while the remaining seven earthquakes were matched by at least one combination of three methods. All meta-analysis matches are within typical forecast periods.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Long-Lasting Patterns in 3 kHz Electromagnetic Time Series after the ML = 6.6 Earthquake of 2018-10-25 near Zakynthos, Greece

et al. 2020

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“…[113]. Cantzos et al have also performed the field measurement of seismic activity in the eastern Aegean sea [114], whereas Liu et al have measured the changes in the microwave radiation in terms of microwave brightness temperature from loaded granite samples. Microwave radiations associated with the fracturing of these rocks have various dependent factors which need further exploration [115].…”

Section: Rocks and Brittle Materialsmentioning

confidence: 99%

A review on deformation-induced electromagnetic radiation detection: history and current status of the technique

2020

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Development of the deformation monitoring techniques for the infrastructures so as to avoid catastrophic failure and resulting economic/human loss has remained a key interest of scientists and engineers. Among various deformation monitoring techniques utilized and explored by groups of researchers, electromagnetic radiation detection is one of the intriguing techniques which has remained popular in researchers’ community till today. Almost every type of material is being explored and studied by researchers for the electromagnetic emissions when subjected to external loading and/or failure. Experimental and theoretical investigations are demonstrating these emissions to be a suitable candidate for the deformation monitoring, as a failure predictor and to know about the complex phenomenon of fracture. This article presents extensive literature review and a rigorous discussion on the work done in the past several decades regarding the exploration of electromagnetic emissions from a wide variety of materials and the underlying physical mechanisms. Thus, this review is an attempt to highlight main findings, proposed physical mechanisms, prospective applications, future scope and challenges of the electromagnetic emission detection technique.

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“…Electromagnetic (EM) phenomena possibly related to earthquakes has also been reported in many articles [ 10 , 11 , 12 , 13 , 14 , 15 ]. Most studies have focused on the seismic electromagnetic phenomena generated by underground activities before earthquakes or the perturbations in the atmosphere and the ionosphere.…”

Section: Introductionmentioning

confidence: 99%

Statistical Analysis of the Relationship between AETA Electromagnetic Anomalies and Local Earthquakes

Guo

Yong

Wang

2021

Entropy

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To verify the relationship between AETA (Acoustic and Electromagnetics to Artificial Intelligence (AI)) electromagnetic anomalies and local earthquakes, we have performed statistical studies on the electromagnetic data observed at AETA station. To ensure the accuracy of statistical results, 20 AETA stations with few data missing and abundant local earthquake events were selected as research objects. A modified PCA method was used to obtain the sequence representing the signal anomaly. Statistical results of superposed epoch analysis have indicated that 80% of AETA stations have significant relationship between electromagnetic anomalies and local earthquakes. These anomalies are more likely to appear before the earthquakes rather than after them. Further, we used Molchan’s error diagram to evaluate the electromagnetic signal anomalies at stations with significant relationships. All area skill scores are greater than 0. The above results have indicated that AETA electromagnetic anomalies contain precursory information and have the potential to improve local earthquake forecasting.

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Earthquake precursory signatures in electromagnetic radiation measurements in terms of day-to-day fractal spectral exponent variation: analysis of the eastern Aegean 13/04/2017–20/07/2017 seismic activity

Cited by 11 publications

References 59 publications

Long-Lasting Patterns in 3 kHz Electromagnetic Time Series after the ML = 6.6 Earthquake of 2018-10-25 near Zakynthos, Greece

Long-Lasting Patterns in 3 kHz Electromagnetic Time Series after the ML = 6.6 Earthquake of 2018-10-25 near Zakynthos, Greece

A review on deformation-induced electromagnetic radiation detection: history and current status of the technique

Statistical Analysis of the Relationship between AETA Electromagnetic Anomalies and Local Earthquakes

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