Data di Pubblicazione:
2003
Abstract:
We study the statistical properties of time distribution of seismicity in California by means of a new
method of analysis, the diffusion entropy.We find that the distribution of time intervals between a large
earthquake (the main shock of a given seismic sequence) and the next one does not obey Poisson
statistics, as assumed by the current models.We prove that this distribution is an inverse power law with
an exponent 2:06 0:01.We propose the long-range model, reproducing the main properties of the
diffusion entropy and describing the seismic triggering mechanisms induced by large earthquakes.
Tipologia CRIS:
03A-Articolo su Rivista
Elenco autori:
Mega M.S.; Allegrini P.; Grigolini P.; Latora V.; Palatella L.; Rapisarda A.; Vinciguerra S
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