The Petrinja earthquake sequence started on December 28, 2020, with a destructive ML 6.2 mainshock occurring in the area, preceded by a ML 5.08 foreshock, following a long period of relative seismic quiescence. Over the first six months of the Petrinja earthquake sequence, almost 14,000 events were recorded. In the present work, we separated seismic events based on their spatial concentration using a density-based clustering algorithm, DBSCAN. We identified four main clusters and analyzed their spatiotemporal properties using the notions of Non-Extensive Statistical Physics (NESP). This framework, which relies on Tsallis entropy (Sq), describes the scaling behavior of complex systems. In this frame, we investigated the inter-event time (T) and distance (D) distributions, providing the qT and qD entropic parameters, respectively. Additionally, we studiedthe frequency–magnitude distributions in terms of the fragment–asperity model, leading to the determination of the non-extensive parameter qM. The results of the analysis suggest that the statistical properties of the Petrinja earthquake sequence can be effectively reproduced utilizing NESP. Furthermore, the coseismic static Coulomb stress changes were estimated, indicating that the clusters’ seismic events may have resulted from a complex fault system’s (re)activation. In addition, the effective static stress drop was estimated for each spatial cluster. Lastly, the temporal patterns of the earthquake evolution are discussed using the superstatistics approach, indicating that the temporal progression of the Petrinja earthquake clusters is governed by a very low number of degrees of freedom, highlighting the spatiotemporal organization of each cluster.

Spatiotemporal properties of the 2020 – 2021 Petrinja (Croatia) earthquake sequence / Sardeli, Eirini; Michas, Georgios; Pavlou, Kyriaki; Zaccagnino, Davide; Vallianatos, Filippos. - In: JOURNAL OF SEISMOLOGY. - ISSN 1573-157X. - (2024).

Spatiotemporal properties of the 2020 – 2021 Petrinja (Croatia) earthquake sequence

Davide Zaccagnino
Penultimo
;
2024

Abstract

The Petrinja earthquake sequence started on December 28, 2020, with a destructive ML 6.2 mainshock occurring in the area, preceded by a ML 5.08 foreshock, following a long period of relative seismic quiescence. Over the first six months of the Petrinja earthquake sequence, almost 14,000 events were recorded. In the present work, we separated seismic events based on their spatial concentration using a density-based clustering algorithm, DBSCAN. We identified four main clusters and analyzed their spatiotemporal properties using the notions of Non-Extensive Statistical Physics (NESP). This framework, which relies on Tsallis entropy (Sq), describes the scaling behavior of complex systems. In this frame, we investigated the inter-event time (T) and distance (D) distributions, providing the qT and qD entropic parameters, respectively. Additionally, we studiedthe frequency–magnitude distributions in terms of the fragment–asperity model, leading to the determination of the non-extensive parameter qM. The results of the analysis suggest that the statistical properties of the Petrinja earthquake sequence can be effectively reproduced utilizing NESP. Furthermore, the coseismic static Coulomb stress changes were estimated, indicating that the clusters’ seismic events may have resulted from a complex fault system’s (re)activation. In addition, the effective static stress drop was estimated for each spatial cluster. Lastly, the temporal patterns of the earthquake evolution are discussed using the superstatistics approach, indicating that the temporal progression of the Petrinja earthquake clusters is governed by a very low number of degrees of freedom, highlighting the spatiotemporal organization of each cluster.
2024
Petrinja earthquake sequence; Tsallis entropy; Non-extensive statistical physics; DBScan algorithm; Complexity
01 Pubblicazione su rivista::01a Articolo in rivista
Spatiotemporal properties of the 2020 – 2021 Petrinja (Croatia) earthquake sequence / Sardeli, Eirini; Michas, Georgios; Pavlou, Kyriaki; Zaccagnino, Davide; Vallianatos, Filippos. - In: JOURNAL OF SEISMOLOGY. - ISSN 1573-157X. - (2024).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1714331
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