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 µ = 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.

Power-Law Time Distribution of Large Earthquakes

Grigolini P;
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 µ = 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.
Campo DC Valore Lingua
dc.authority.ancejournal PHYSICAL REVIEW LETTERS (PRINT) -
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.orgunit Istituto per i Processi Chimico-Fisici - IPCF -
dc.authority.people Mega MS it
dc.authority.people Allegrini P it
dc.authority.people Grigolini P it
dc.authority.people Latora V it
dc.authority.people Palatella L it
dc.authority.people Rapisarda A it
dc.authority.people Vinciguerra S it
dc.collection.id.s b3f88f24-048a-4e43-8ab1-6697b90e068e *
dc.collection.name 01.01 Articolo in rivista *
dc.contributor.appartenenza Istituto per i Processi Chimico-Fisici - IPCF *
dc.contributor.appartenenza.mi 948 *
dc.date.accessioned 2024/02/18 08:47:58 -
dc.date.available 2024/02/18 08:47:58 -
dc.date.issued 2003 -
dc.description.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 µ = 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. -
dc.description.affiliations (1) IPCF CNR Pisa -
dc.description.allpeople Mega M.S.; Allegrini P.; Grigolini P. ; Latora V.; Palatella L.; Rapisarda A.; Vinciguerra S. -
dc.description.allpeopleoriginal Mega M.S., Allegrini P., Grigolini P. (1), Latora V., Palatella L., Rapisarda A., Vinciguerra S. -
dc.description.fulltext none en
dc.description.numberofauthors 1 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/146772 -
dc.relation.firstpage 188501 -
dc.relation.volume 90 -
dc.subject.keywords Scaling detection -
dc.subject.keywords main-shocks -
dc.subject.keywords diffusion entropy -
dc.subject.singlekeyword Scaling detection *
dc.subject.singlekeyword main-shocks *
dc.subject.singlekeyword diffusion entropy *
dc.title Power-Law Time Distribution of Large Earthquakes en
dc.type.driver info:eu-repo/semantics/article -
dc.type.full 01 Contributo su Rivista::01.01 Articolo in rivista it
dc.type.miur 262 -
dc.ugov.descaux1 168325 -
iris.orcid.lastModifiedDate 2024/02/22 16:03:07 *
iris.orcid.lastModifiedMillisecond 1708614187134 *
iris.sitodocente.maxattempts 1 -
Appare nelle tipologie: 01.01 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/146772
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