Scaling in a cellular automaton model of earthquake faults
M. Anghel (1,2), W. Klein (1,2), J. B. Rundle (3,4), J. S. S'a Martins, (3) ((1)Center for Nonlinear Studies, LANL, Los Alamos, NM (2) Physics, Department, Center for Computational Science, Boston University, Boston,, MA (3) Colorado Center for Chaos, Complexity, CIRES

TL;DR
This paper investigates the scaling behavior of earthquake events in a cellular automaton fault model, identifying three distinct regimes and discussing large breakout events as fluctuations near a critical point.
Contribution
It introduces a theoretical framework and simulation data revealing multiple scaling regions and characterizing large events as critical fluctuations.
Findings
Identification of three scaling regions in earthquake models
Large breakout events are outside the scaling regimes
Interpretation of events as fluctuations near a spinodal critical point
Abstract
We present theoretical arguments and simulation data indicating that the scaling of earthquake events in models of faults with long-range stress transfer is composed of at least three distinct regions. These regions correspond to three classes of earthquakes with different underlying physical mechanisms. In addition to the events that exhibit scaling, there are larger ``breakout'' events that are not on the scaling plot. We discuss the interpretation of these events as fluctuations in the vicinity of a spinodal critical point.
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Taxonomy
Topicsearthquake and tectonic studies · Earthquake Detection and Analysis · Complex Systems and Time Series Analysis
