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Modeling Exact Frequency-Energy Distribution for Quakes by a Probabilistic Cellular Automaton
Mariusz Białecki1, Mateusz Gałka2, Arpan Bagchi1
1Institute of Geophysics Polish Academy of Sciences, 01-452 Warsaw, Poland.
Abstract:
We develop the notion of Random Domino Automaton, a simple probabilistic cellular automaton model for earthquake statistics, in order to provide a mechanistic basis for the interrelation of Gutenberg-Richter law and Omori law with the waiting time distribution for earthquakes. In this work, we provide a general algebraic solution to the inverse problem for the model and apply the proposed procedure to seismic data recorded in the Legnica-Głogów Copper District in Poland, which demonstrate the adequacy of the method. The solution of the inverse problem enables adjustment of the model to localization-dependent seismic properties manifested by deviations from Gutenberg-Richter law.
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