Journal of Seismology

, Volume 19, Issue 1, pp 1–8 | Cite as

Local geodetic and seismic energy balance for shallow earthquake prediction

  • Flavio CannavóEmail author
  • Alessandra Arena
  • Carmelo Monaco
Original Article


Earthquake analysis for prediction purposes is a delicate and still open problem largely debated among scientists. In this work, we want to show that a successful time-predictable model is possible if based on large instrumental data from dense monitoring networks. To this aim, we propose a new simple data-driven and quantitative methodology which takes into account the accumulated geodetic strain and the seismically-released strain to calculate a balance of energies. The proposed index quantifies the state of energy of the selected area and allows us to evaluate better the ingoing potential seismic risk, giving a new tool to read recurrence of small-scale and shallow earthquakes. In spite of its intrinsic simple formulation, the application of the methodology has been successfully simulated in the Eastern flank of Mt. Etna (Italy) by tuning it in the period 2007–2011 and testing it in the period 2012–2013, allowing us to predict, within days, the earthquakes with highest magnitude.


Earthquake prediction Strain analysis Time-predictable model 



GPS and Analisi Dati Sismici groups of Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo, is kindly acknowledged for providing the EQ database (INGV, Catania ( Our research was partially supported by funds of the agreement V3 between INGV and Italian Department of Civil Protection (DPC); we thank R. Azzaro and S. D’Amico for this support. FC would like to thank Marco Aloisi, Andrea Cannata, Pablo Gonzalez, Asta Miklius, and Mike Poland for their useful suggestions. We thank S. Ciancitto for correcting and improving the English of this manuscript. We would like to express our gratitude to the Editor M. Garcia-Fernandez, to Prof. V.G. Kossobokov, and to the anonymous referees who helped us with their comment to improve the manuscript.


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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Flavio Cannavó
    • 1
    Email author
  • Alessandra Arena
    • 1
  • Carmelo Monaco
    • 2
  1. 1.Osservatorio EtneoIstituto Nazionale di Geofisica e VulcanologiaCataniaItaly
  2. 2.Dipartimento di Science della TerraUniversità degli Studi di CataniaCataniaItaly

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