Modelling seismic catalogues by cascade models: Do we need long-term magnitude correlations?

SUMMARY We consider sequences of earthquakes from northern and southern California. We study these data sets for long-term persistence using the concept of natural time and fluctuation analyses. We also construct a simulation model for regional seismicity using random background seismicity and the BASS model for aftershock occurrence. We include in the simulation model corrections for long-term persistence in the background seismicity and for missing data early in aftershock sequences. We find excellent agreement between the California data and the simulations indicating significant long-term correlations in earthquake magnitudes.

[1]  P. Varotsos,et al.  Long-range correlations in the electric signals that precede rupture. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[2]  Mark Naylor,et al.  Origin and nonuniversality of the earthquake interevent time distribution. , 2009, Physical review letters.

[3]  Shlomo Havlin,et al.  Long-term memory: a natural mechanism for the clustering of extreme events and anomalous residual times in climate records. , 2005, Physical review letters.

[4]  Armin Bunde,et al.  Eliminating finite-size effects and detecting the amount of white noise in short records with long-term memory. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[5]  David J. Varnes,et al.  Predictive modeling of the seismic cycle of the Greater San Francisco Bay Region , 1993 .

[6]  D. Turcotte,et al.  Missing data in aftershock sequences: explaining the deviations from scaling laws. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[7]  D. Turcotte,et al.  Self-similar branching of aftershock sequences , 2008 .

[8]  B. Gutenberg,et al.  Seismicity of the Earth , 1970, Nature.

[9]  Y. Kagan,et al.  Importance of small earthquakes for stress transfers and earthquake triggering , 2004, physics/0407018.

[10]  T. Utsu A statistical study on the occurrence of aftershocks. , 1961 .

[11]  Masashi Kamogawa,et al.  Analysis of electrical activity and seismicity in the natural time domain for the volcanic-seismic swarm activity in 2000 in the Izu Island region, Japan , 2009 .

[12]  Á. Corral Mixing of rescaled data and Bayesian inference for earthquake recurrence times , 2005 .

[13]  Yosihiko Ogata,et al.  Statistical Models for Earthquake Occurrences and Residual Analysis for Point Processes , 1988 .

[14]  Keiiti Aki,et al.  3-D inhomogeneities in the upper mantle , 1981 .

[15]  A. Bunde,et al.  Trend evaluation in records with long‐term memory: Application to global warming , 2009 .

[16]  D. Sornette,et al.  An observational test of the critical earthquake concept , 1998 .

[17]  D. Sornette,et al.  Subcritical and supercritical regimes in epidemic models of earthquake aftershocks , 2001, cond-mat/0109318.

[18]  S. Havlin,et al.  Indication of a Universal Persistence Law Governing Atmospheric Variability , 1998 .

[19]  Rachel E. Abercrombie,et al.  Triggering of the 1999 MW 7.1 Hector Mine earthquake by aftershocks of the 1992 MW 7.3 Landers earthquake , 2002 .

[20]  John B. Rundle,et al.  BASS, an alternative to ETAS , 2007 .

[21]  Markus Båth,et al.  Lateral inhomogeneities of the upper mantle , 1965 .

[22]  D. Turcotte,et al.  A Review of Earthquake Statistics: Fault and Seismicity-Based Models, ETAS and BASS , 2008 .

[23]  Y. Kagan Short-Term Properties of Earthquake Catalogs and Models of Earthquake Source , 2004 .

[24]  Peter L. Moore,et al.  Debris-bed friction of hard-bedded glaciers , 2004 .

[25]  L. Knopoff,et al.  Is the sequence of earthquakes in Southern California, with aftershocks removed, Poissonian? , 1974, Bulletin of the Seismological Society of America.

[26]  Alvaro Corral Long-term clustering, scaling, and universality in the temporal occurrence of earthquakes. , 2004, Physical review letters.

[27]  D Sornette,et al.  Diffusion of epicenters of earthquake aftershocks, Omori's law, and generalized continuous-time random walk models. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[28]  Shlomo Havlin,et al.  Memory in the occurrence of earthquakes. , 2005, Physical review letters.

[29]  Y. Kagan,et al.  Comparison of Short-Term and Time-Independent Earthquake Forecast Models for Southern California , 2006 .

[30]  Donald L. Turcotte,et al.  A Modified Form of Båth's Law , 2004 .

[31]  Shlomo Havlin,et al.  Long-term memory in earthquakes and the distribution of interoccurrence times , 2008 .