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Memory and renewal aging of strong earthquakes in Hellenic seismicity

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  • Iliopoulos, A.
  • Chorozoglou, D.
  • Kourouklas, C.
  • Mangira, O.
  • Papadimitriou, E.

Abstract

The complex turbulent dynamics of seismogenesis in the area of Greece is investigated, by applying an alternative approach based on renewal theory, specifically the Renewal Aging Algorithm, to two earthquake interevent (waiting) time series. The data sets were extracted from the regional earthquake catalogue compiled from the Geophysics Department, Aristotle University of Thessaloniki and concern: 576 earthquakes of M ≥5.5, during 1911–2017 and 113 earthquakes of M≥6.5, in the period of 1845–2017. The methodology is efficient for studying persistency and/or intermittent structures in different time scales of Hellenic seismogenesis by qualitative estimating the amount of memory, corresponding to the ratio between Poisson events and non-Poisson critical events. For the application of the Renewal Aging Algorithm time scales corresponding to short and intermediate-term forecasting were considered, namely 2 and 3 weeks to several years corresponding to the maximum Waiting Time for each data set. The results of the statistical analysis reveal transitions from time-homogeneous Poisson to time-homogeneous non-Poisson dynamics and non-homogeneous non-Poisson dynamics, starting from short time scales and going to longer time scales. These results can shed more light to the concept of the seismic cycle hypothesis and to the generation of time-dependent stochastic modeling. It has to be mentioned that these time series are relatively short and therefore additional statistical analysis is required to verify the aforementioned findings.

Suggested Citation

  • Iliopoulos, A. & Chorozoglou, D. & Kourouklas, C. & Mangira, O. & Papadimitriou, E., 2020. "Memory and renewal aging of strong earthquakes in Hellenic seismicity," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    • Handle: RePEc:eee:chsofr:v:131:y:2020:i:c:s0960077919304631
    DOI: 10.1016/j.chaos.2019.109511
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    References listed on IDEAS

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    1. Elsa Garavaglia & Raffaella Pavani, 2011. "About Earthquake Forecasting by Markov Renewal Processes," Methodology and Computing in Applied Probability, Springer, vol. 13(1), pages 155-169, March.
    2. Allegrini, P. & Barbi, F. & Grigolini, P. & Paradisi, P., 2007. "Aging and renewal events in sporadically modulated systems," Chaos, Solitons & Fractals, Elsevier, vol. 34(1), pages 11-18.
    3. P. Dimitriu & E. Scordilis & V. Karacostas, 2000. "Multifractal Analysis of the Arnea, Greece Seismicity with Potential Implications for Earthquake Prediction," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 21(2), pages 277-295, May.
    4. Paradisi, Paolo & Allegrini, Paolo, 2015. "Scaling law of diffusivity generated by a noisy telegraph signal with fractal intermittency," Chaos, Solitons & Fractals, Elsevier, vol. 81(PB), pages 451-462.
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    Cited by:

    1. Chichigina, Olga A. & Valenti, Davide, 2021. "Strongly super-Poisson statistics replaced by a wide-pulse Poisson process: The billiard random generator," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).

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