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Investigating the inner time properties of seismograms by using the Fisher Information Measure

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  • Telesca, Luciano
  • Lovallo, Michele
  • Alcaz, Vasile
  • Ilies, Ion

Abstract

The time dynamics of seismograms of nine tectonic earthquakes which occurred in Vrancea (Romania) registered at three seismic stations located in Moldova are analyzed by means of the informational approach of the Fisher Information Measure (FIM). The three seismic stations in Moldova are located, two (MILM and LEOM) within an area with high seismic hazard, while the third (SORM) in a less hazardous region. Our findings point out to a clear discrimination of the two stations MILM and LEOM from SORM on the basis of the informational properties of the recorded seismograms corresponding to the same earthquakes. In particular it is found that larger distance and lower azimuth characterize seismograms with lower FIM, which implies lower organization and higher disorder in seismograms recorded by SORM with respect to those recorded by MILM and LEOM. The lower FIM revealed by seismograms recorded by SORM could be put in relationship with the lower degree of seismic hazard in the area where the seismic station is installed.

Suggested Citation

  • Telesca, Luciano & Lovallo, Michele & Alcaz, Vasile & Ilies, Ion, 2014. "Investigating the inner time properties of seismograms by using the Fisher Information Measure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 409(C), pages 154-161.
    • Handle: RePEc:eee:phsmap:v:409:y:2014:i:c:p:154-161
    DOI: 10.1016/j.physa.2014.05.003
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    References listed on IDEAS

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    1. Aleksander Janicki & Aleksander Weron, 1994. "Simulation and Chaotic Behavior of Alpha-stable Stochastic Processes," HSC Books, Hugo Steinhaus Center, Wroclaw University of Technology, number hsbook9401.
    2. Telesca, Luciano & Lovallo, Michele & Hsu, Han-Lun & Chen, Chien-Chih, 2011. "Analysis of dynamics in magnetotelluric data by using the Fisher–Shannon method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(7), pages 1350-1355.
    3. Martin, M.T. & Perez, J. & Plastino, A., 2001. "Fisher information and nonlinear dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 291(1), pages 523-532.
    4. Telesca, Luciano & Lovallo, Michele & Ramirez-Rojas, Alejandro & Angulo-Brown, Fernando, 2009. "A nonlinear strategy to reveal seismic precursory signatures in earthquake-related self-potential signals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(10), pages 2036-2040.
    5. Telesca, Luciano & Lovallo, Michele & Chamoli, Ashutosh & Dimri, V.P. & Srivastava, K., 2013. "Fisher–Shannon analysis of seismograms of tsunamigenic and non-tsunamigenic earthquakes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(16), pages 3424-3429.
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    Keywords

    Seismograms; Fisher Information Measure;

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