The Petrinja earthquake sequence started on December 28, , with a destructive M L 6. Over the first six months of the Petrinja earthquake sequence, almost 14, events were recorded. In the present work, we separated seismic events based on their spatial concentration using a density-based clustering algorithm, DBSCAN. This framework, which relies on Tsallis entropy S q , describes the scaling behavior of complex systems.
In this frame, we investigated the inter-event time T and distance D distributions, providing the q T and q D entropic parameters, respectively. Additionally, we studied the frequency—magnitude distributions in terms of the fragment—asperity model, leading to the determination of the non-extensive parameter q M.
The results of the analysis suggest that the statistical properties of the Petrinja earthquake sequence can be effectively reproduced utilizing NESP. 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.
This is a preview of subscription content, log in via an institution to check access. Rent this article via DeepDyve. Institutional subscriptions. The earthquake catalogue for the Petrinja sequence and the catalogue of focal mechanisms were extracted from the Supplementary Material of Herak, M. Properties of the Petrinja Croatia earthquake sequence of — — Results of seismological research for the first six months of activity.
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