Empirical Analysis of Digital Seismograms From A Cluster of Explosions At Regional Distances For Characterizing Multiple Explosions

SUMMARY Digital seismograms from a cluster of explosions at regional distances are analysed to investigate the similarity of seismograms with the aim of identifying possible multiple explosions. It is observed that the P wave trains from nearby explosions have considerable similarities, and the digital record of single explosions can thus be used in an empirical sense to characterize multiple explosions. By inversion and forward modelling of waveforms using the seismograms of nearby ‘single’ explosions as the pseudo‐empirical Green's function, multiple explosions where the subevents occurred at nearly the same time can be clearly recognized. the resultant ‘event time functions’ correspond to a low‐resolution picture of the multiplicity, which relies on both the true ground information about the nature of the pseudo‐empirical Green's function and the resolution provided by the digital seismograms.