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Long-Term Earthquake Clustering

Geophysical Journal International · 1991 · Vol. 104(1) · pp. 117–134
Y. Y. KaganD. D. Jackson

Abstract

A R Y W e analyse statistically the long-term properties of several instrumental earthquake catalogues. Complete catalogues exhibit both short-and long-term clustering for earthquakes of all depth ranges. After accounting for the effect of short-term clustering, we find that in residual (declustered) catalogues, long-term clustering, not periodicity, characterizes the occurrence of all earthquakes-shallow, intermediate, and deep. T h e degree of clustering in residual catalogues is the same for earthquakes in different depth ranges. Circumstantial evidence indicates that the long-term v,ariation of seismicity is governed by a power-law temporal distribution; as in short-term clustering, it is scale invariant. T h e fractal dimension of an earthquake set on the time axis is of the order of 0.8-0.9. Therefore, mainshock occurrence is closer t o a stationary Poisson process than standard aftershock sequences of shallow earthquakes.

earthquake and tectonic studiesEarthquake Detection and AnalysisComplex Systems and Time Series AnalysisCluster analysisSeismologyTerm (time)GeologyAftershockInduced seismicityResidualMathematicsStatisticsPhysics

Funding

  • National Science Foundation
  • U.S. Geological Survey
  • University of California, Los Angeles
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References
<i>The Fractal Geometry of Nature</i>
American Journal of Physics · 1983 · 21,806 citations
Time‐predictable recurrence model for large earthquakes
Geophysical Research Letters · 1980 · 835 citations
Is the sequence of earthquakes in Southern California, with aftershocks removed, Poissonian?
Bulletin of the Seismological Society of America · 1974 · 1,732 citations
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