Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Connection between Variations of the Probability Distribution of the Recurrence Time and Phases of the Seismic Activity

Version 1 : Received: 8 September 2023 / Approved: 11 September 2023 / Online: 12 September 2023 (10:13:49 CEST)

A peer-reviewed article of this Preprint also exists.

Varini, E.; Rotondi, R. Connection between Variations of the Probability Distribution of the Recurrence Time and Phases of the Seismic Activity. Entropy 2023, 25, 1441. Varini, E.; Rotondi, R. Connection between Variations of the Probability Distribution of the Recurrence Time and Phases of the Seismic Activity. Entropy 2023, 25, 1441.

Abstract

The probability distribution of the interevent time between two successive earthquakes has been subject of numerous studies due to its key role in seismic hazard assessment. In recent decades, many distributions have been considered and there has been a long debate about the possible universality of the shape of this distribution when the interevent times are suitably rescaled. In this work we aim to find out if there is a link between the different phases of a seismic cycle and the variations in the distribution that best fits the interevent times. To do this, we consider the seismic activity related to the Mw 6.1 L’Aquila earthquake that occurred on April 6, 2009 in central Italy by analyzing the sequence of events recorded from April 2005 to July 2009, and then the seismic activity linked to the sequence of the Amatrice-Norcia earthquakes of Mw 6 and 6.5 respectively and recorded in the period from January 2009 to June 2018. We take into account some of the most studied distributions in the literature: q-exponential, q-generalized gamma, gamma and exponential distributions and, according to the Bayesian paradigm, we compare the value of their posterior marginal likelihood in shifting time windows with a fixed number of data. The results suggest that the distribution providing the best performance changes over time and its variations may be associated with different phases of the seismic crisis.

Keywords

Interevent time; Probability distributions; probabilistic forecasting; seismic cycle; statistical seismology; statistical methods; Bayesian inference

Subject

Environmental and Earth Sciences, Environmental Science

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