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| Titel |
Mixing of rescaled data and Bayesian inference for earthquake recurrence times |
| VerfasserIn |
A. Corral |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 12, no. 1 ; Nr. 12, no. 1 (2005-01-25), S.89-100 |
| Datensatznummer |
250010383
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| Publikation (Nr.) |
 copernicus.org/npg-12-89-2005.pdf |
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| Zusammenfassung |
| The limits of a recently proposed universal
scaling law for the probability distributions
of earthquake recurrence times are explored.
The scaling properties allow to improve the statistics
of occurrence of large earthquakes over small areas
by mixing rescaled recurrence times for different areas.
In this way, the scaling law still holds for events
with M≥5.5 at scales of about 20km,
and for M≥7.5 at 600km.
A Bayesian analysis supports the
temporal clustering of seismicity against
a description based on nearly-periodic events.
The results are valid for stationary seismicity as
well as for the nonstationary case, illustrated by the
seismicity of Southern California after the Landers earthquake. |
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