Discrimination of earthquakes and explosions in the eastern United States using regional high-frequency data

Details Discrimination of earthquakes and explosions in the eastern United States using regional high-frequency data Discrimination of earthquakes and explosions in the eastern United States using regional high-frequency data

Jul 1993

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1993georl..20.1507k&link_type=abstract

Geophysical Research Letters (ISSN 0094-8276), vol. 20, no. 14, p. 1507-1510.

Mathematics

Functional Analysis

9

Discriminant Analysis (Statistics), Earthquakes, P Waves, Robustness (Mathematics), Functional Analysis, High Frequencies, United States

Scientific paper

High-frequency regional records from small earthquakes (between magnitudes 1.3 and 4), and comparable magnitude explosions, are analyzed to find a reliable seismic discriminant in the eastern U.S. Over 500 digital vertical-component seismograms recorded by the New York State Seismic Network in the distance ranges 10 to 610 km are used. Mean P/Lg spectral ratios in the band 1-25 Hz are about 0.5 and 1.25 for earthquakes and explosions, respectively, in the eastern United States. We find that the high-frequency P/Lg spectral amplitude ratio in the frequency band 5-25 Hz is a reliable and robust discriminant for classifying these events. A linear discriminant function analysis indicates that the P/Lg spectral amplitude ratio method provides discrimination power with a total misclassification probability of about 1 percent. Single-hole instantaneous explosions and ripple-fired quarry blasts have somewhat different P/Lg spectral ratios, but as a group are distinctly different from earthquakes.

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