A Discrimination Analysis of Regional Seismic Data Recorded at Tonto Forest Observatory from Nevada Test Site Explosions and Nearby Earthquakes

Discrimination of Earthquakes and Explosions at Regional Distances Using Complexity

“…al. (1981) using the Long-Range-Seismic-Measurements (LRSM) system which peaked near 3 Hz, and implicitly in the same tectonic area by Murphy and Bennett (1982) and Bennett and Murphy (1986) since they noted that earthquakes had higher frequency L9 than explosions while the P9 spectra were similar. Similar, more recent results in Scandinavia and other areas have been obtained by Dysart andPulli (1990), Chan et.…”

“…The explosion Pn is noted to be clearly more impulsive. Murphy and Bennett (1982) and Bennett and Murphy (1986) present several NTS explosion and near-NTS earthquake signals as recorded at single elements of the Tonto Forest, Uinta Basin, and Blue Mountain Vela Array Observatories (TFO, UBO, and BMO). As they point out, the S/N for Pn is poor (These authors therefore rested their analysis on P9 and Lg.)…”

A compound linear discriminant method for small-magnitude seismic events and its application to the North Korea seismic event of October 9, 2006

“…Therefore, Lg, which is particularly deficient in high frequencies, has worked well for discriminant applications in other regions (Murphy and Bennett, 1982;Taylor et al, 1988). Gupta et al (1992) and Patton and Taylor (1995) suggested that the low-frequency part of the Lg spectra from explosions is mainly due to the S-wave generated by the near-source scattering of Rg.…”

Discrimination Using Pn and Pg

“…The ratio of the amount of S energy contained in them may thus provide the basis for a discriminant. instance, is most easily viewed in the frequency domain, but such waveform qualities as the sequence in which pulses arrive in the wave train or the sharpness of pulse onset are most easily studied in the time domain (Murphy and Bennett, 1982;Burdick and Helmberger, 1988;Blandford, 1981). Because of the tremendous complexity of high frequency regional data, most attempts at using it for discrimination purposes have involved analysis of the frequency content of the various arrivals either through transforming selected windows or through multiple bandpass filtering.…”