2010/04/12 by Tiago P. Peixoto, Katharina Doblhoff-Dier, Katharina Doblhoff‐Dier +1 · 11 citations
Earth and Planetary Sciences · Physics and Astronomy · #Aftershock #Distribution (mathematics) #Earthquake Detection and Analysis #Event (particle physics) #High-pressure geophysics and materials #Sequence (biology) #Spatial distribution #Stochastic modelling #earthquake and tectonic studies #physics.gen-ph #physics.geo-ph
paper · pdf · doi:10.1029/2010jb007626
published in Journal of Geophysical Research Atmospheres 115(B10) (American Geophysical Union) · 31 pages, 5 figures
arxiv created 2010/04/12 · openalex publication_date 2010/10/01 · arxiv updated 2015/05/18 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05
Aftershock sequences are of particular interest in seismic research because they may condition seismic activity in a given region over long time spans. Although they are typically identified with periods of enhanced seismic activity after a large earthquake as characterized by the Omori law, our knowledge of the spatiotemporal correlations between events in an aftershock sequence is limited. Here, we study the spatiotemporal correlations of two aftershock sequences form California (Parkfield and Hector Mine) using the recently introduced concept of “recurrent” events. We find that both sequences have very similar properties and that most of them are captured by the space‐time epidemic‐type aftershock sequence (ETAS) model if one takes into account catalog incompleteness. However, the stochastic ETAS model does not capture those spatiotemporal correlations that give rise to the observed distribution of recurrent events on small spatial scales. We also find that there is no clear evidence for stress shadows that have been observed for smaller earthquakes.