Modeling Exact Frequency-Energy Distribution for Quakes by a Probabilistic Cellular Automaton

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.

Keywords

• modeling
• earthquake statistics
• magnitude-frequency distribution
• modeling Gutenberg-Richter law
• probabilistic cellular automata
• solvable models