Dynamical scaling in branching models for seismicity.
We propose a branching process based on a dynamical scaling hypothesis relating time and mass. In the context of earthquake occurrence, we show that experimental power laws in size and time distribution naturally originate solely from this scaling hypothesis. We present a numerical protocol able to generate a synthetic catalog with an arbitrary large number of events. The numerical data reproduce the hierarchical organization in time and magnitude of experimental interevent time distribution.
Lippiello
Eugenio
E
Department of Physical Sciences, University of Naples "Federico II," 80125 Napoli, Italy.
Godano
Cataldo
C
de Arcangelis
Lucilla
L
D003198:Computer Simulation; D020378:Confined Spaces; D004190:Disasters; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D013997:Time Factors