Statistics – Computation
Scientific paper
Jun 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009georl..3611301s&link_type=abstract
Geophysical Research Letters, Volume 36, Issue 11, CiteID L11301
Statistics
Computation
2
Seismology: Seismic Monitoring And Test-Ban Treaty Verification, Seismology: Computational Seismology, Mathematical Geophysics: Time Series Analysis (1872, 4277, 4475)
Scientific paper
It is demonstrated that cross-correlation methods can successfully be applied on a large scale to the detection of seismic events arising in a variety of tectonic settings. The locations of about thousand earthquakes a year occurring in and near China are reported using phase picks from a large national network. We performed more than 100 million cross correlations on the waveforms of more than 18,800 events over 20 years, as recorded by a relatively sparse network; and detected about two thirds of the nationally reported events. Additional events (70% increase), beyond what standard processing detects for China on the sparse network, were also found. A corresponding reduction in detection threshold approaches 0.9 magnitude units for increasing station distance. As networks densify and archives grow, cross-correlation is likely to become more and more useful for purposes of maximizing the number of detected events and hence to improve knowledge of seismicity.
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