We numerically study the dynamics of a discrete spring-block model introduced by Olami, Feder, and Christensen (OFC) to mimic earthquakes and investigate to what extent this simple model is able to reproduce the observed spatiotemporal clustering of seismicity. Following a recently proposed method to characterize such clustering by networks of recurrent events [J. Davidsen, P. Grassberger, and M. Paczuski, Geophys. Res. Lett. 33, L11304 (2006)], we find that for synthetic catalogs generated by the OFC model these networks have many nontrivial statistical properties. This includes characteristic degree distributions, very similar to what has been observed for real seismicity. There are, however, also significant differences between the OFC model and earthquake catalogs, indicating that this simple model is insufficient to account for certain aspects of the spatiotemporal clustering of seismicity.
Network of recurrent events for the Olami-Feder-Christensen model.
Published 2008 in Physical review. E, Statistical, nonlinear, and soft matter physics
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- Publication year
2008
- Venue
Physical review. E, Statistical, nonlinear, and soft matter physics
- Publication date
2008-03-10
- Fields of study
Medicine, Physics, Computer Science, Geology
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Semantic Scholar, PubMed
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