Bulletin of the Seismological Society of America; August 2002; v. 92; no. 6;
p. 2145-2162; DOI: 10.1785/0120010264
© 2002 Seismological Society of America
Instrumental Intensity Distribution for the Hector Mine, California, and the Chi-Chi, Taiwan, Earthquakes: Comparison of Two Methods
Vladimir Sokolov and
David J. Wald
Geophysical Institute
Karlsruhe University
Hertzstr.
16
Karlsruhe, Germany
(V.S.)
U.S. Geological Survey
525 South Wilson Ave.
Pasadena,
California 91106
(D.J.W.)
We compare two methods of seismic-intensity estimation from ground-motion
records for the two recent strong earthquakes: the 1999 (M 7.1)
Hector Mine, California, and the 1999 (M 7.6) Chi-Chi, Taiwan. The
first technique utilizes the peak ground acceleration (PGA) and velocity
(PGV), and it is used for rapid generation of the instrumental intensity map
in California. The other method is based on the revised relationships between
intensity and Fourier amplitude spectrum (FAS). The results of using the
methods are compared with independently observed data and between the
estimations from the records. For the case of the Hector Mine earthquake, the
calculated intensities in general agree with the observed values. For the case
of the Chi-Chi earthquake, the areas of maximum calculated intensity
correspond to the areas of the greatest damage and highest number of
fatalities. However, the FAS method producees higher-intensity values than
those of the peak amplitude method. The specific features of ground-motion
excitation during the large, shallow, thrust earthquake may be considered a
reason for the discrepancy. The use of PGA and PGV is simple; however, the use
of FAS provides a natural consideration of site amplification by means of
generalized or site-specific spectral ratios. Because the calculation of
seismic-intensity maps requires rapid processing of data from a large network,
it is very practical to generate a "first-order" map from the
recorded peak motions. Then, a "second-order" map may be compiled
using an amplitudespectra method on the basis of available records and
numerical modeling of the site-dependent spectra for the regions of sparse
station spacing.
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