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1 Center for Computational Science and
Engineering
University of California
Davis, California
95616
roshch{at}cse.ucdavis.edu
rundle{at}cse.ucdavis.edu
(R.S.,
J.B.R.)
2 Department of Geology
University
of California
Davis, California
95616
turcotte{at}geology.ucdavis.edu
(D.L.T.)
Aftershock sequences present a unique opportunity to study the physics of
earthquakes. Important questions concern the fundamental origin of three widely
applicable scaling laws: (1) GutenbergRichter frequencymagnitude
scaling, (2) Omoris law for aftershock decay rates, and (3)
Båths law for the difference between the magnitude of the largest
aftershock and a mainshock. The high-resolution Parkfield seismic network
provided the opportunity for detailed studies of the aftershock sequence
following the 28 September 2004, M 6.0 Parkfield earthquake. In this
article it is shown that aftershocks satisfy the GutenbergRichter scaling
relation only for relatively large times after the mainshock. There is a
systematic time delay for the establishment of this scaling law. The temporal
evolution of the rates of occurrence of aftershocks is quantified using the
generalized Omoris law. This scaling law contains two characteristic
times c and
. The analysis suggests that the parameter
c plays the role of a characteristic time for the establishment of
Gutenberg Richter scaling. This time increases systematically with a
decreasing lower magnitude cutoff. The systematic time delay is attributed to a
cascade of energy from long wavelengths to short wavelengths. The parameter
is a measure of the average time until the first aftershock
occurs. We find that
slightly varies with the lower magnitude
cutoff of the sequence. We also note that the largest aftershock inferred from
an extrapolation of GutenbergRichter scaling, M 5.0, is equal to
the largest observed aftershock. This scaling associated with the universal
applicability of Båths law is attributed to a constant partitioning
of energy between a mainshock and its associated aftershock sequence. We also
give in this article the distribution of interoccurrence times between
successive aftershocks. We show that this distribution is well approximated by a
nonhomogeneous Poissons process driven by the modified Omoris law. The
self-consistency between interoccurrence statistics and decay rates is taken as
further evidence for the applicability of our studies.
This article has been cited by other articles:
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D. Kilb, V. G. Martynov, and F. L. Vernon Aftershock Detection Thresholds as a Function of Time: Results from the ANZA Seismic Network following the 31 October 2001 ML 5.1 Anza, California, Earthquake Bulletin of the Seismological Society of America, June 1, 2007; 97(3): 780 - 792. [Abstract] [Full Text] [PDF] |
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R. Shcherbakov, D. L. Turcotte, and J. B. Rundle Scaling Properties of the Parkfield Aftershock Sequence Bulletin of the Seismological Society of America, December 1, 2006; 96(6): 2472. [Full Text] [PDF] |
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R. A. Harris and J R. Arrowsmith Introduction to the Special Issue on the 2004 Parkfield Earthquake and the Parkfield Earthquake Prediction Experiment Bulletin of the Seismological Society of America, September 1, 2006; 96(4B): S1 - S10. [Abstract] [Full Text] [PDF] |
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