Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Spatio – Temporal Characteristics of the Aftershocks Sequences that followed the Strong Earthquakes in Ionian Islands, Greece

Version 1 : Received: 3 September 2020 / Approved: 4 September 2020 / Online: 4 September 2020 (04:08:49 CEST)

How to cite: Moshou, A.; Drakatos, G.; Moussas, V.; Argyrakis, P.; Konstantaras, A.; Christina Daverona, A.; Pantazis, D.; Sagias, N.C. Spatio – Temporal Characteristics of the Aftershocks Sequences that followed the Strong Earthquakes in Ionian Islands, Greece. Preprints 2020, 2020090080 (doi: 10.20944/preprints202009.0080.v1). Moshou, A.; Drakatos, G.; Moussas, V.; Argyrakis, P.; Konstantaras, A.; Christina Daverona, A.; Pantazis, D.; Sagias, N.C. Spatio – Temporal Characteristics of the Aftershocks Sequences that followed the Strong Earthquakes in Ionian Islands, Greece. Preprints 2020, 2020090080 (doi: 10.20944/preprints202009.0080.v1).

Abstract

During the period January 2014 – October 2018, four strong earthquakes occurred in the Ionian Sea, Greece. A rich aftershock sequence followed each event of them. More analytically, according to the manual solutions of National Observatory of Athens, the first event (K1), occurred on 26 January 2014 in Kefallinia Island with magnitude ML = 5.8, which was followed by another in the same region (K2) on 3 February 2014 with magnitude ML = 5.7. The third event occurred on 17 November 2015, ML = 6.0 in Lefkas Island (L1) and the last on 25 October 2018, ML = 6.6 in Zande Island (Z1). The first three of these earthquakes caused moderate structural damages mainly in houses and produced particular unrest to the local population. This work presents first the calculation of the source parameters of the strong events as well as for all earthquakes with magnitude ML > 4.0, using the methodology of the Moment tensor inversion and secondary data from permanent GPS stations were analyzed to confirm the findings from seismological data and to investigate the displacement due to the earthquakes.

Subject Areas

earthquake; source observations; body wave modeling; seismicity; ionian sea; gnss; machine learning; neural network

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