Statistics – Computation
Scientific paper
Aug 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007georl..3416313k&link_type=abstract
Geophysical Research Letters, Volume 34, Issue 16, CiteID L16313
Statistics
Computation
9
Computational Geophysics: Instruments And Techniques, Seismology: Seismic Monitoring And Test-Ban Treaty Verification, Seismology: Seismic Instruments And Networks (0935, 3025), Geographic Location: North America
Scientific paper
We develop an algorithm that automatically detects and characterizes seismic waveforms associated with episodic tremor and slip (ETS) events in northern Cascadia. For each hour-long seismogram, the process begins with the calculation of moving average and scintillation index functions. A logic chart is designed to sort the observed waveform patterns into a set of classes based on these functions. An ETS event is always manifest by many station-hours with coherent tremor (CT) patterns. Automatic analysis of seismic waveforms recorded in the past three years gives results consistent with the work done by tedious visual inspection of seismograms. Our algorithm, which is free from human oversight, is ideal for an automatic tremor monitoring system to give immediate notice of an ETS event.
Dragert Herb
Kao Honn
Rogers Garry
Spence George
Thompson Philip J.
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