Articles | Volume 23, issue 4
https://doi.org/10.5194/npg-23-223-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/npg-23-223-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
04 Aug 2016
Research article |
| 04 Aug 2016
Recent seismic activity at Cephalonia (Greece): a study through candidate electromagnetic precursors in terms of non-linear dynamics
Stelios M. Potirakis
Department of Electronics Engineering, Piraeus University
of Applied Sciences (TEI of Piraeus), 250 Thivon and P. Ralli, Aigalao,
Athens, 12244, Greece
Yiannis Contoyiannis
Department of Electronics Engineering, Piraeus University
of Applied Sciences (TEI of Piraeus), 250 Thivon and P. Ralli, Aigalao,
Athens, 12244, Greece
Nikolaos S. Melis
Institute of Geodynamics, National Observatory of Athens,
Lofos Nimfon, Thissio, Athens, 11810, Greece
John Kopanas
Department of Environmental Technologists, Technological
Education Institute (TEI) of the Ionian islands, Zakynthos, 29100,
Greece
George Antonopoulos
Department of Environmental Technologists, Technological
Education Institute (TEI) of the Ionian islands, Zakynthos, 29100,
Greece
Institute for Astronomy, Astrophysics, Space Applications
and Remote Sensing, National Observatory of Athens, Metaxa and Vasileos
Pavlou, Penteli, Athens, 15236, Greece
Charalampos Kontoes
Institute for Astronomy, Astrophysics, Space Applications
and Remote Sensing, National Observatory of Athens, Metaxa and Vasileos
Pavlou, Penteli, Athens, 15236, Greece
Constantinos Nomicos
Department of Electronics Engineering, Technological
Education Institute (TEI) of Athens, Ag. Spyridonos, Aigaleo, Athens,
12210, Greece
Konstantinos Eftaxias
Department of Physics, Section of Solid State Physics,
University of Athens, Panepistimiopolis, 15784, Zografos, Athens,
Greece
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Subject: Time series, machine learning, networks, stochastic processes, extreme events | Topic: Solid earth, continental surface, biogeochemistry
Extraction of periodic signals in Global Navigation Satellite System (GNSS) vertical coordinate time series using the adaptive ensemble empirical modal decomposition method
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Application of Lévy processes in modelling (geodetic) time series with mixed spectra
Seismic section image detail enhancement method based on bilateral texture filtering and adaptive enhancement of texture details
A fast approximation for 1-D inversion of transient electromagnetic data by using a back propagation neural network and improved particle swarm optimization
Negentropy anomaly analysis of the borehole strain associated with the Ms 8.0 Wenchuan earthquake
Mahalanobis distance-based recognition of changes in the dynamics of a seismic process
Denoising stacked autoencoders for transient electromagnetic signal denoising
Simple statistics for complex Earthquake time distributions
Non-linear effects of pore pressure increase on seismic event generation in a multi-degree-of-freedom rate-and-state model of tectonic fault sliding
Sandpile-based model for capturing magnitude distributions and spatiotemporal clustering and separation in regional earthquakes
Foreshocks and short-term hazard assessment of large earthquakes using complex networks: the case of the 2009 L'Aquila earthquake
Static behaviour of induced seismicity
Brief Communication: Earthquake sequencing: analysis of time series constructed from the Markov chain model
Earthquake sequencing: chimera states with Kuramoto model dynamics on directed graphs
Search for the 531-day-period wobble signal in the polar motion based on EEMD
Improved singular spectrum analysis for time series with missing data
Weiwei Li and Jing Guo
Nonlin. Processes Geophys., 31, 99–113, https://doi.org/10.5194/npg-31-99-2024, https://doi.org/10.5194/npg-31-99-2024, 2024
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Improper handling of missing data and offsets will affect the accuracy of a signal of interest. The trend in GNSS belonging to GLOSS is key to getting the absolute sea level. However, this is affected by the periodic signals that are included. Although adaptive EEMD is capable of extracting periodic signals, missing data and offsets are ignored in previous work. Meanwhile, the time-varying periodic characteristics derived by adaptive EEMD are more conducive to analyzing the driving factors.
Kuldeep Sarkar, Jit V. Tiwari, and Upendra K. Singh
Nonlin. Processes Geophys., 31, 7–24, https://doi.org/10.5194/npg-31-7-2024, https://doi.org/10.5194/npg-31-7-2024, 2024
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We evaluated three meta-heuristic algorithms using resistivity data. An enormous solution is assessed and the best-fitted solutions are chosen. The posterior probability density function with a 68.27 % confidence interval, a mean and posterior solution, and correlation and covariance matrix were calculated for the assessment of the uncertainty, stability, and mean model. We found that vPSOGWO provides reliable and consistently better results that are correlated well with borehole information.
Jean-Philippe Montillet, Xiaoxing He, Kegen Yu, and Changliang Xiong
Nonlin. Processes Geophys., 28, 121–134, https://doi.org/10.5194/npg-28-121-2021, https://doi.org/10.5194/npg-28-121-2021, 2021
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Recently, various models have been developed, including the
fractional Brownian motion (fBm), to analyse the stochastic properties of
geodetic time series, together with the estimated geophysical signals.
The noise spectrum of these time series is generally modelled as a mixed
spectrum, with a sum of white and coloured noise. Here, we are interested
in modelling the residual time series after deterministically subtracting geophysical signals from the observations with the Lévy processes.
Xiang-Yu Jia and Chang-Lei DongYe
Nonlin. Processes Geophys., 27, 253–260, https://doi.org/10.5194/npg-27-253-2020, https://doi.org/10.5194/npg-27-253-2020, 2020
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We proposed a texture detail enhancement method for seismic section image. Wavelet transform can effectively separate structure information and detail information of an image. High-frequency noise in structural information can be estimated and removed effectively by using bilateral texture filter in a low-frequency sub-band. In the high-frequency sub-band, adaptive enhancement transform can be used to enhance the image edge and texture information and effectively remove the low-frequency noise.
Ruiyou Li, Huaiqing Zhang, Nian Yu, Ruiheng Li, and Qiong Zhuang
Nonlin. Processes Geophys., 26, 445–456, https://doi.org/10.5194/npg-26-445-2019, https://doi.org/10.5194/npg-26-445-2019, 2019
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The chaotic-oscillation inertia weight back propagation (COPSO-BP) algorithm is proposed for transient electromagnetic inversion. The BP's initial weight and threshold parameters were trained by COPSO, overcoming the BP falling into a local optimum. Inversion of the layered geoelectric model showed that the COPSO-BP method is accurate and stable and needs less training time. It can be used in 1-D direct current sounding, 1-D magnetotelluric sounding, seismic-wave impedance and source detection.
Kaiguang Zhu, Zining Yu, Chengquan Chi, Mengxuan Fan, and Kaiyan Li
Nonlin. Processes Geophys., 26, 371–380, https://doi.org/10.5194/npg-26-371-2019, https://doi.org/10.5194/npg-26-371-2019, 2019
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Negentropy anomalies of borehole strain associated with the Wenchuan earthquake are analysed. The cumulative anomalies are studied on both large and small scales. Through a comparison discussion, we compare the cumulative anomalies of different time periods and stations with those at the Guza station during the study period and preliminarily exclude meteorological factors. We suspect negentropy anomalies at the Guza station to have recorded abnormal changes related to the Wenchuan earthquake.
Teimuraz Matcharashvili, Zbigniew Czechowski, and Natalia Zhukova
Nonlin. Processes Geophys., 26, 291–305, https://doi.org/10.5194/npg-26-291-2019, https://doi.org/10.5194/npg-26-291-2019, 2019
Fanqiang Lin, Kecheng Chen, Xuben Wang, Hui Cao, Danlei Chen, and Fanzeng Chen
Nonlin. Processes Geophys., 26, 13–23, https://doi.org/10.5194/npg-26-13-2019, https://doi.org/10.5194/npg-26-13-2019, 2019
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The deep-seated information is reflected in the late-stage data of the second field. By introducing the deep learning algorithm integrated with the characteristics of the secondary field data, we can map the contaminated data in late track data to a high-probability position. By comparing several filtering algorithms, the SFSDSA method has better performance and the denoising signal is conducive to further improving the effective detection depth.
Teimuraz Matcharashvili, Takahiro Hatano, Tamaz Chelidze, and Natalia Zhukova
Nonlin. Processes Geophys., 25, 497–510, https://doi.org/10.5194/npg-25-497-2018, https://doi.org/10.5194/npg-25-497-2018, 2018
Sergey B. Turuntaev and Vasily Y. Riga
Nonlin. Processes Geophys., 24, 215–225, https://doi.org/10.5194/npg-24-215-2017, https://doi.org/10.5194/npg-24-215-2017, 2017
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The influence of fluid injection on tectonic fault sliding and generation of seismic events was studied in the paper by a multi-degree-of-freedom rate-and-state friction model with a two-parametric friction law. The considered system could exhibit different types of motion. The main seismic activity could appear directly after the start of fluid injection or in the post-injection phase (after some days or months). Such an influence of injection on seismicity is observed in the real cases.
Rene C. Batac, Antonino A. Paguirigan Jr., Anjali B. Tarun, and Anthony G. Longjas
Nonlin. Processes Geophys., 24, 179–187, https://doi.org/10.5194/npg-24-179-2017, https://doi.org/10.5194/npg-24-179-2017, 2017
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The sandpile-based model is the paradigm model of self-organized criticality (SOC), a mechanism believed to be responsible for the occurrence of scale-free (power-law) distributions in nature. One particular SOC system that is rife with power-law distributions is that of earthquakes, the most widely known of which is the Gutenberg–Richter (GR) law of earthquake energies. Here, we modify the sandpile to be of use in capturing the energy, space, and time statistics of earthquakes simultaneously.
Eleni Daskalaki, Konstantinos Spiliotis, Constantinos Siettos, Georgios Minadakis, and Gerassimos A. Papadopoulos
Nonlin. Processes Geophys., 23, 241–256, https://doi.org/10.5194/npg-23-241-2016, https://doi.org/10.5194/npg-23-241-2016, 2016
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The monitoring of statistical network properties could be useful for short-term hazard assessment of the occurrence of mainshocks in the presence of foreshocks. Using successive connections between events acquired from the earthquake catalog of INGV for the case of the L’Aquila (Italy) mainshock (Mw = 6.3) of 6 April 2009, we provide evidence that network measures, both global (average clustering coefficient, small-world index) and local (betweenness centrality) ones, could potentially be used.
Arnaud Mignan
Nonlin. Processes Geophys., 23, 107–113, https://doi.org/10.5194/npg-23-107-2016, https://doi.org/10.5194/npg-23-107-2016, 2016
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Induced seismicity is a concern for the industries relying on fluid injection in the deep parts of the Earth’s crust. At the same time, fluid injection sites provide natural laboratories to study the impact of increased fluid pressure on earthquake generation. In this study, I show that simple geometric operations on a static stress field produced by volume change at depth explains two empirical laws of induced seismicity without having recourse to complex models derived from rock mechanics.
M. S. Cavers and K. Vasudevan
Nonlin. Processes Geophys., 22, 589–599, https://doi.org/10.5194/npg-22-589-2015, https://doi.org/10.5194/npg-22-589-2015, 2015
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We introduced a new modified Markov chain model to generate a time series of the earthquake sequences from a global catalogue with an optimum time sampling of 9 days. Here, we subject the time series to a known analysis method namely an ensemble empirical mode decomposition to study the state-to-state fluctuations in each of the intrinsic mode functions. Also, we establish the power-law behaviour of the time series with the Fano factor and Allan factor used in time-correlative behaviour studies
K. Vasudevan, M. Cavers, and A. Ware
Nonlin. Processes Geophys., 22, 499–512, https://doi.org/10.5194/npg-22-499-2015, https://doi.org/10.5194/npg-22-499-2015, 2015
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Earthquake sequencing is an intriguing research topic and the dynamics involved are complex. For directed graphs that represent earthquake sequencing, the Kuramoto model yields synchronization. Inclusion of non-local effects evokes the occurrence of chimera states or the co-existence of synchronous and asynchronous behavior among earthquake zones. It is the chaotic dynamics of them resulting in certain patterns that we begin to see in the sequence of seismic events with a very simple model.
H. Ding and W. Shen
Nonlin. Processes Geophys., 22, 473–484, https://doi.org/10.5194/npg-22-473-2015, https://doi.org/10.5194/npg-22-473-2015, 2015
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A 531-day wobble (531 dW) signal is clearly detected with a mean amplitude of about 7 mas after applying the ensemble empirical mode decomposition (EEMD) to the 1962-2013 polar motion (PM) time series. This signal is also detected in the two longest available superconducting gravimeter (SG) records. Synthetic tests are carried out to explain why the 531 dW signal can only be observed in recent 30-year PM time series after using EEMD.
Y. Shen, F. Peng, and B. Li
Nonlin. Processes Geophys., 22, 371–376, https://doi.org/10.5194/npg-22-371-2015, https://doi.org/10.5194/npg-22-371-2015, 2015
Cited articles
Abe, S., Sarlis, N. V., Skordas, E. S., Tanaka, H. K., and Varotsos, P. A.: Origin of the usefulness of the natural-time representation of complex time series, Phys. Rev. Lett., 94, 170601, https://doi.org/10.1103/PhysRevLett.94.170601, 2005.
Balasis, G., Daglis, I. A., Anastasiadis, A., Papadimitriou, C., Mandea, M., and Eftaxias, K.: Universality in solar flare, magnetic storm and earthquake dynamics using Tsallis statistical mechanics, Physica A, 390, 341–346, 2011.
Balasis, G., Donner, R. V., Potirakis, S. M., Runge, J., Papadimitriou, C., Daglis, I. A., Eftaxias, K., and Kurths, J.: Statistical mechanics and information-theoretic perspectives on complexity in the Earth System, Entropy, 15, 4844–4888, 2013.
Bowman, D., Ouillon, G., Sammis, C., Sornette, A., and Sornette, D.: An observational test of the critical earthquake concept, J. Geophys. Res., 103, 24359–24372, 1998.
Chelidze, T.: Percolation and fracture, Phys. Earth Planet. In., 28, 93–101, 1982.
Chelidze, T. and Kolesnikov, Yu. M.: Percolation modell des bruchprozesses, Gerlands Beitr. Geophysik. Leipzig, 91, 35–44, 1982.
Chelidze, T., Kolesnikov, Yu., and Matcharashvili, T.: Seismological criticality concept and percolation model of fracture, Geophys. J. Int., 164, 125–136, 2006.
Chouliaras, G., Melis, N. S., Drakatos, G., and Makropoulos, K.: Operational network improvements and increased reporting in the NOA (Greece) seismicity catalog, Geophys. Res. Abstracts, 15, EGU2013-12634-6, European Geosciences Union, General Assembly, 7–12 April, Vienna, Austria, 2013a.
Chouliaras, G., Melis, N. S., Drakatos, G., and Makropoulos, K.: Operational network improvements and increased reporting in the NOA (Greece) seismicity catalog, Adv. Geosci., 36, 7–9, 2013b.
Cicerone, R. D., Ebel, J. E., and Britton, J.: A systematic compilation of earthquake precursors, Tectonophysics, 476, 371–396, 2009.
Contoyiannis, Y. and Diakonos, F.: Criticality and intermittency in the order parameter space, Phys. Lett. A, 268, 286–292, 2000.
Contoyiannis, Y. F. and Diakonos, F. K.: Unimodal maps and order parameter fluctuations in the critical region, Phys. Rev. E, 76, 031138, https://doi.org/10.1103/PhysRevE.76.031138, 2007.
Contoyiannis, Y. F. and Eftaxias, K.: Tsallis and Levy statistics in the preparation of an earthquake, Nonlin. Processes Geophys., 15, 379–388, https://doi.org/10.5194/npg-15-379-2008, 2008.
Contoyiannis, Y., Diakonos, F., and Malakis, A.: Intermittent dynamics of critical fluctuations, Phys. Rev. Lett., 89, 035701, https://doi.org/10.1103/PhysRevLett.89.035701, 2002.
Contoyiannis, Y. F., Diakonos, F. K., Kapiris, P. G., Peratzakis, A. S., and Eftaxias, K. A.: Intermittent dynamics of critical pre-seismic electromagnetic fluctuations, Phys. Chem. Earth, 29, 397–408, 2004a.
Contoyiannis, Y. F., Diakonos, F. K., Papaefthimiou, C., and Theophilidis, G.: Criticality in the relaxation phase of a spontaneously contracting atria isolated from a Frog's Heart, Phys. Rev. Lett., 93, 098101, https://doi.org/10.1103/PhysRevLett.93.098101, 2004b.
Contoyiannis, Y. F., Kapiris, P. G., and Eftaxias, K. A.: A Monitoring of a pre-seismic phase from its electromagnetic precursors, Phys. Rev. E, 71, 066123, https://doi.org/10.1103/PhysRevE.71.066123, 2005.
Contoyiannis, Y. F., Nomicos, C., Kopanas, J., Antonopoulos, G., Contoyianni, L., and Eftaxias, K.: Critical features in electromagnetic anomalies detected prior to the L'Aquila earthquake, Physica A, 389, 499–508, 2010.
Contoyiannis, Y. F., Potirakis, S. M., and Eftaxias, K.: The Earth as a living planet: human-type diseases in the earthquake preparation process, Nat. Hazards Earth Syst. Sci., 13, 125–139, https://doi.org/10.5194/nhess-13-125-2013, 2013.
Contoyiannis, Y., Potirakis, S. M., Eftaxias, K., and Contoyianni, L.: Tricritical crossover in earthquake preparation by analyzing preseismic electromagnetic emissions, J. Geodynamics, 84, 40–54, 2015.
Contoyiannis, Y., Potirakis, S. M., Eftaxias, K., Hayakawa, M., and Schekotov, A.: Intermittent criticality revealed in ULF magnetic fields prior to the 11 March 2011 Tohoku earthquake (Mw = 9), Physica A, 452, 19–28, 2016.
Donner, R. V., Potirakis, S. M., Balasis, G., Eftaxias, K., and Kurths, J.: Temporal correlation patterns in pre-seismic electromagnetic emissions reveal distinct complexity profiles prior to major earthquakes, Phys. Chem. Earth, 85/86, 44–55, 2015.
Eftaxias, K. and Potirakis, S. M.: Current challenges for pre-earthquake electromagnetic emissions: shedding light from micro-scale plastic flow, granular packings, phase transitions and self-affinity notion of fracture process, Nonlin. Processes Geophys., 20, 771–792, https://doi.org/10.5194/npg-20-771-2013, 2013.
Eftaxias, K., Kapiris, P., Polygiannakis, J., Bogris, N., Kopanas, J., Antonopoulos, G., Peratzakis, A., and Hadjicontis, V.: Signatures of pending earthquake from electromagnetic anomalies, Geophys. Res. Let., 28, 3321–3324, 2001.
Eftaxias, K., Frangos, P., Kapiris, P., Polygiannakis, J., Kopanas, J., Peratzakis, A., Skountzos, P., and Jaggard, D.: Review and a model of pre-seismic electromagnetic emissions in terms of fractal electrodynamics, Fractals, 12, 243–273, 2004.
Eftaxias, K., Contoyiannis, Y., Balasis, G., Karamanos, K., Kopanas, J., Antonopoulos, G., Koulouras, G., and Nomicos, C.: Evidence of fractional-Brownian-motion-type asperity model for earthquake generation in candidate pre-seismic electromagnetic emissions, Nat. Hazards Earth Syst. Sci., 8, 657–669, https://doi.org/10.5194/nhess-8-657-2008, 2008.
Eftaxias, K., Potirakis, S. M., and Chelidze, T.: On the puzzling feature of the silence of precursory electromagnetic emissions, Nat. Hazards Earth Syst. Sci., 13, 2381–2397, https://doi.org/10.5194/nhess-13-2381-2013, 2013.
Ganas, A., Cannavo, F., Chousianitis, K., Kassaras, I., and Drakatos, G.: Displacements recorded on continuous GPS stations following the 2014 M6 Cephalonia (Greece) earthquakes: Dynamic characteristics and kinematic implications, Acta Geodyn. Geomater., 12, 5–27, 2015.
Hayakawa, M. (Ed.): The Frontier of Earthquake Prediction Studies, Nihon-Senmontosho-Shuppan, Tokyo, 2013a.
Hayakawa, M. (Ed.): Earthquake Prediction Studies: Seismo Electromagnetics, Terrapub, Tokyo, 2013b.
Hayakawa, M., Schekotov, A., Potirakis, S., and Eftaxias, K.: Criticality features in ULF magnetic fields prior to the 2011 Tohoku earthquake, Proc. Japan Acad. Ser. B, 91, 25–30, 2015a.
Hayakawa, M., Schekotov, A., Potirakis, S. M., Eftaxias, K., Li, Q., and Asano, T.: An Integrated Study of ULF Magnetic Field Variations in Association with the 2008 Sichuan Earthquake, on the Basis of Statistical and Critical Analyses, Open J. Earthq. Res., 4, 85–93, 2015b.
Huang, K.: Statistical Mechanics, 2nd Edn., John Wiley and sons, New York, 1987.
Kapiris, P., Eftaxias, K., and Chelidze, T.: Electromagnetic signature of prefracture criticality in heterogeneous media, Phys. Rev. Lett., 92, 065702, https://doi.org/10.1103/PhysRevLett.92.065702, 2004.
Kalimeris, A., Potirakis, S. M., Eftaxias, K., Antonopoulos, G., Kopanas, J., and Nomikos, C.: Multi-spectral detection of statistically significant components in pre-seismic electromagnetic emissions related with Athens 1999, M = 5.9 earthquake, J. App. Geophys., 128, 41–57, 2016.
Karamanos, K., Dakopoulos, D., Aloupis, K., Peratzakis, A., Athanasopoulou, L., Nikolopoulos, S., Kapiris, P., and Eftaxias, K.: Study of pre-seismic electromagnetic signals in terms of complexity, Phys. Rev. E, 74, 016104, https://doi.org/10.1103/PhysRevE.74.016104, 2006.
Karastathis, V. K., Mouzakiotis, E., Ganas, A., and Papadopoulos, G. A.: High-precision relocation of seismic sequences above a dipping Moho: the case of the January–February 2014 seismic sequence on Cephalonia island (Greece), Solid Earth, 6, 173–184, https://doi.org/10.5194/se-6-173-2015, 2015.
Merryman Boncori, J. P., Papoutsis, I., Pezzo, G., Tolomei, C., Atzori, S., Ganas, A., Karastathis, V., Salvi, S., Kontoes, C., and Antonioli, A.: The February 2014 Cephalonia earthquake (Greece): 3D deformation field and source modeling from multiple SAR techniques, Seismol. Res. Lett., 86, 1–14, 2015.
Minadakis, G., Potirakis, S. M., Nomicos, C., and Eftaxias, K.: Linking electromagnetic precursors with earthquake dynamics: an approach based on nonextensive fragment and self-affine asperity models, Physica A, 391, 2232–2244, 2012a.
Minadakis, G., Potirakis, S. M., Stonham, J., Nomicos, C., and Eftaxias, K.: The role of propagating stress waves in geophysical scale: Evidence in terms of nonextensivity, Physica A, 391, 5648–5657, 2012b.
Ozun, A., Contoyiannis, Y. F., Diakonos, F. K., Hanias, M., and Magafas, L.: Intermittency in stock market dynamic, J. Trading, 9, 26–33, 2014.
Papadimitriou, K., Kalimeri, M., and Eftaxias, K.: Nonextensivity and universality in the earthquake preparation process, Phys. Rev. E, 77, 036101, https://doi.org/10.1103/PhysRevE.77.036101, 2008.
Papadopoulos, G. A., Karastathis, V. K., Koukouvelas, I., Sachpazi, M., Baskoutas, I., Chouliaras, G., Agalos, A., Daskalaki, E., Minadakis, G., Moshou, A., Mouzakiotis, A., Orfanogiannaki, K., Papageorgiou, A., Spanos, D., and Triantafyllou, I.: The Cephalonia, Ionian Sea (Greece), sequence of strong earthquakes of January–February 2014: a first report, Res. Geophys., 4, 19–30, 2014.
Pingel, D., Schmelcher, P., and Diakonos, F. K.: Theory and examples of the inverse Frobenius-Perron problem for complete chaotic maps, Chaos, 9, 357–366, 1999.
Potirakis, S. M., Minadakis, G., Nomicos, C., and Eftaxias, K.: A multidisciplinary analysis for traces of the last state of earthquake generation in preseismic electromagnetic emissions, Nat. Hazards Earth Syst. Sci., 11, 2859–2879, https://doi.org/10.5194/nhess-11-2859-2011, 2011.
Potirakis, S. M., Minadakis, G., and Eftaxias, K.: Analysis of electromagnetic pre-seismic emissions using Fisher information and Tsallis entropy, Physica A, 391, 300–306, 2012a.
Potirakis, S. M., Minadakis, G., and Eftaxias, K.: Sudden drop of fractal dimension of electromagnetic emissions recorded prior to significant earthquake, Nat. Hazards, 64, 641–650, 2012b.
Potirakis, S. M., Minadakis, G., and Eftaxias, K.: Relation between seismicity and pre-earthquake electromagnetic emissions in terms of energy, information and entropy content, Nat. Hazards Earth Syst. Sci., 12, 1179–1183, https://doi.org/10.5194/nhess-12-1179-2012, 2012c.
Potirakis, S. M., Karadimitrakis, A., and Eftaxias, K.: Natural time analysis of critical phenomena: the case of pre-fracture electromagnetic emissions, Chaos, 23, 023117, https://doi.org/10.1063/1.4807908, 2013.
Potirakis, S. M., Contoyiannis, Y., Eftaxias, K., Koulouras, G., and Nomicos, C.: Recent field observations indicating an earth system in critical condition before the occurrence of a significant earthquake, IEEE Geosc. Remote Sens. Lett., 12, 631–635, 2015.
Potirakis, S. M., Eftaxias, K., Schekotov, A., Yamaguchi, H., and Hayakawa, M.: Criticality features in ULF magnetic fields prior to the 2013 M6.3 Kobe earthquake, Ann. Geophys., 59, S0317, https://doi.org/10.4401/ag-6863, 2016.
Rundle, J. B., Holliday, J. R., Graves, W. R., Turcotte, D. L., Tiampo. K. F., and Klein, W.: Probabilities for large events in driven threshold systems, Phys. Rev. E, 86, 021106, https://doi.org/10.1103/PhysRevE.86.021106, 2012.
Sakkas, V. and Lagios, E.: Fault modelling of the early-2014 ∼ M6 Earthquakes in Cephalonia Island (W. Greece) based on GPS measurements, Tectonophysics, 644/645, 184–196, 2015.
Sarlis, N. V., Skordas, E. S., Lazaridou, M. S., and Varotsos, P. A.: Investigation of seismicity after the initiation of a Seismic Electric Signal activity until the main shock, Proc. Japan Acad., Ser. B., 84, 331–343, 2008.
Sarlis, N. V., Skordas, E. S., and Varotsos, P. A.: Similarity of fluctuations in systems exhibiting self-organized criticality, Europhys. Lett., 96, 28006, https://doi.org/10.1209/0295-5075/96/28006, 2011.
Schuster, H.: Deterministic Chaos, VCH, Weinheim, 1998.
Skeberis, C., Zaharis, Z. D., Xenos, T. D., Spatalas, S., Arabelos, D. N., and Contadakis, M. E.: Time–frequency analysis of VLF for seismic-ionospheric precursor detection: Evaluation of Zhao-Atlas-Marks and Hilbert-Huang Transforms, Phys. Chem. Earth, 85/86, 174–184, 2015.
Stanley, H. E.: Introduction to Phase Transitions and Critical Phenomena, Oxford University Press, New York,1987.
Stanley, H. E.: Scaling, universality, and renormalization: Three pillars of modern critical phenomena, Rev. Modern Phys., 71, S358–S366, 1999.
Uyeda, S., Nagao, T., and Kamogawa, M.: Short-term EQ prediction: Current status of seismo-electromagnetics, Tectonophysics, 470, 205–213, 2009a.
Uyeda, S., Kamogawa, M., and Tanaka, H.: Analysis of electrical activity and seismicity in the natural time domain for the volcanic-seismic swarm activity in 2000 in the Izu Island region, Japan, J. Geophys Res., 114, B02310, https://doi.org/10.1029/2007JB005332, 2009b.
Valkaniotis, S., Ganas, A., Papathanassiou, G., and Papanikolau, M.: Field observations of geological effects triggered by the January–February 2014 Cephalonia (Ionian Sea, Greece) earthquakes, Tectonophysics, 630, 150–157, 2014.
Vallianatos, F., Michas, G., and Hloupis, G.: Multiresolution wavelets and natural time analysis before the January–February 2014 Cephalonia (Mw6.1 & 6.0) sequence of strong earthquake events, Phys. Chem. Earth, 85/86, 201–209, 2015.
Vamvakaris, D. A., Papazachos, C. B., Papaioannou, Ch. A., Scordilis, E. M., and Karakaisis, G. F.: A detailed seismic zonation model for shallow earthquakes in the broader Aegean area, Nat. Hazards Earth Syst. Sci., 16, 55–84, https://doi.org/10.5194/nhess-16-55-2016, 2016.
Varotsos, P. A.: The Physics of Seismic Electric Signals, TERRAPUB, Tokyo, 2005.
Varotsos, P. A., Sarlis, N. V., and Skordas, E. S.: Spatio-temporal complexity aspects on the interrelation between seismic electric signals and seismicity, Pract. Athens Acad., 76, 294–321, 2001.
Varotsos, P. A., Sarlis, N. V., and Skordas, E. S.: Long-range correlations in the electric signals that precede rupture, Phys. Rev. E, 66, 011902, https://doi.org/10.1103/PhysRevE.66.011902, 2002.
Varotsos, P. A., Sarlis, N. V., Tanaka, H. K., and Skordas, E. S.: Similarity of fluctuations in correlated systems: The case of seismicity, Phys. Rev. E, 72, 041103, https://doi.org/10.1103/PhysRevE.72.041103, 2005.
Varotsos, P. A., Sarlis, N. V., Skordas, E. S., Tanaka, H. K., and Lazaridou, M. S.: Entropy of seismic electric signals: Analysis in the natural time under time reversal, Phys. Rev. E, 73, 031114, https://doi.org/10.1103/PhysRevE.73.031114, 2006.
Varotsos, P., Sarlis, N., Skordas, E., Uyeda, S., and Kamogawa, M.: Natural time analysis of critical phenomena, P. Natl. Acad. Sci. USA, 108, 11361–11364, 2011a.
Varotsos, P., Sarlis, N., and Skordas, E. S.: Natural Time Analysis: The New View of Time, Springer, Berlin, 2011b.
Wanliss, J., Muñoz, V., Pastén, D., Toledo, B., and Valdivia, J. A.: Critical behavior in earthquake energy dissipation, Nonlin. Processes Geophys. Discuss., 2, 619–645, https://doi.org/10.5194/npgd-2-619-2015, 2015.
Short summary
Based on the methods of critical fluctuations and natural time, we have shown that the fracture-induced MHz electromagnetic emissions recorded by two stations in our network prior to two recent significant earthquakes that occurred in Cephalonia present criticality characteristics, implying that they emerge from a system in critical state.
Based on the methods of critical fluctuations and natural time, we have shown that the...
