2026-04-13T07:18:45Zhttps://recercat.cat/oai/request

oai:recercat.cat:2072/3775702024-12-20T12:46:38Zcom_2072_199267com_2072_4427col_2072_199862

On the scaling behavior of the earthquake inter-time distribution: Influence of large shocks and time scales in the Omori law Lippiello, E. Corral, A. Bottiglieri, M. Godano, C. de Arcangelis, L. We present a study of the earthquake inter-time distribution \linebreak $ D(\Delta t)$ for a California catalog in temporal periods of short duration $ T$ . We compare experimental results with theoretical predictions and analytical approximate solutions. For the majority of intervals, rescaling inter-times by the average rate leads to collapse of the distributions $ D(\Delta t)$ on a universal curve, whose functional form is well fitted by a Gamma distribution. The remaining intervals, exhibiting a more complex $ D(\Delta t)$ , are all characterized by the presence of large shocks. These results can be understood in terms of the relevance of the ratio between the characteristic time $ c$ in the Omori law and $ T$ : Intervals with Gamma-like behavior are indeed characterized by a vanishing $ c/T$ . The above features are also investigated by means of numerical simulations of the ETAS model. This study shows that collapse of $ D(\Delta t)$ is also observed in numerical catalogs, however the fit with a Gamma distribution is possible only assuming that $ c$ depends on the mainshock magnitude $ m$ . This result confirms that the dependence of $ c$ on $ m$ , previously observed for $ m>6$ mainshocks, extends also to small $ m>2$ . 2020-10-14T13:05:52Z 2024-09-19T13:35:05Z 2020-10-14T13:05:52Z 2024-09-19T13:35:05Z 2020-10-14T13:05:52Z 2024-09-19T13:35:05Z 2014-01-01 info:eu-repo/semantics/preprint http://hdl.handle.net/2072/377570 eng CRM Preprints info:eu-repo/semantics/openAccess L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons:http://creativecommons.org/licenses/by-nc-nd/4.0/ RECERCAT (Dipòsit de la Recerca de Catalunya)