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Temporal analysis of croatian seismogenic zones to improve earthquake magnitude prediction

Earth Science Informatics volume 10, pages 303–320 (2017)Cite this article

Abstract

The prediction of earthquakes is a task of utmost difficulty that has been addressed in many different ways. However, an initial definition of the area of interest is needed, with adequate catalogs. In this work, different seismogenic zones proposals in the Republic of Croatia are studied, in terms of predictability. Such zones have been characterized with widely used seismicity parameters. Later, studies based on training and test sets properties as well as the quality of the data involved are carried out. The studies presented in this work analyze the prediction performance across the earthquake magnitude time series of the target seismogenic zones. Results show that specific prediction techniques could be used in some zones to improve earthquake magnitude prediction.

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Acknowledgments

The authors would like to thank anonymous referees and journal editors for their careful reading of the paper and insightful comments that helped us improve the paper. This work was supported by the Spanish Government through research project TIN2014-55894-C2-2-R, by the Junta de Andalucía through project P12-TIC-1728, and by the Croatian Science Foundation through research grants IP-2016-06-8350.

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Authors and Affiliations

  1. Department of Computer Science, Pablo de Olavide University of Seville, Seville, Spain

    G. Asencio–Cortés & F. Martínez–Álvarez

  2. Faculty of Civil Engineering, University of Osijek, Osijek, Croatia

    S. Scitovski

  3. Department of Mathematics, University of Osijek, Osijek, Croatia

    R. Scitovski

Authors
  1. G. Asencio–Cortés
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  2. S. Scitovski
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  3. R. Scitovski
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  4. F. Martínez–Álvarez
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Corresponding author

Correspondence to F. Martínez–Álvarez.

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Communicated by: H. A. Babaie

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Asencio–Cortés, G., Scitovski, S., Scitovski, R. et al. Temporal analysis of croatian seismogenic zones to improve earthquake magnitude prediction. Earth Sci Inform 10, 303–320 (2017). https://doi.org/10.1007/s12145-017-0295-5

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  • DOI: https://doi.org/10.1007/s12145-017-0295-5

Keywords

  • Seismogenic zoning
  • Earthquake prediction
  • Machine learning