Abstract
AbstractIn this letter, we investigate the effect of station distribution (including the number and azimuthal gap of stations) upon location error based on the field data observed at Northern California Seismic Network (NCSN) using a double-difference earthquake location algorithm and a bootstrap method. The earthquakes relocated by all 117 stations are set as reference and the error of location is defined as the RMS of the difference to the reference. We find that the location error has a nonlinear relationship with the distribution of stations. The results may be used as guidelines for building seismic network.
Highlights
The effect of the distribution of seismic stations upon the location error and optimizing seismic network has long been an important issue in seismology
This study shows that the location error decreases with increasing number of stations
The log-log and semi-log plots of the results indicate that the location error can be expressed (a) in a power law form when the number of stations is small, and the errors stay almost constant when the number of stations is larger than the critical point of 15. 3.3 The effect of azimuthal gap of station
Summary
The effect of the distribution of seismic stations upon the location error and optimizing seismic network has long been an important issue in seismology. This letter studies the effect of distribution of stations upon the location error using the commonly used double-difference earthquake location algorithm (Waldhauser and Ellsworth, 2000) and the bootstrap method (Efron, 1979, 1982; Marcello et al, 2001).
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