1. Threshold Magnitudes for a Multichannel Correlation Detector in Background Seismicity
- Author
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Hans E. Hartse and Joshua D. Carmichael
- Subjects
010504 meteorology & atmospheric sciences ,Explosive material ,Cross-correlation ,Detector ,Induced seismicity ,010502 geochemistry & geophysics ,01 natural sciences ,Correlation detector ,Geophysics ,Amplitude ,Geochemistry and Petrology ,Waveform ,Seismology ,0105 earth and related environmental sciences ,Statistical signal processing - Abstract
Colocated explosive sources often produce correlated seismic waveforms. Multichannel correlation detectors identify these signals by scanning template waveforms recorded from known reference events against "target" data to find similar waveforms. This screening problem is challenged at thresholds required to monitor smaller explosions, often because non-target signals falsely trigger such detectors. Therefore, it is generally unclear what thresholds will reliably identify a target explosion while screening non-target background seismicity. Here, we estimate threshold magnitudes for hypothetical explosions located at the North Korean nuclear test site over six months of 2010, by processing International Monitoring System (IMS) array data with a multichannel waveform correlation detector. Our method (1) accounts for low amplitude background seismicity that falsely triggers correlation detectors but is unidentifiable with conventional power beams, (2) adapts to diurnally variable noise levels and (3) uses source-receiver reciprocity concepts to estimate thresholds for explosions spatially separated from the template source. Furthermore, we find that underground explosions with body wave magnitudes mb = 1.66 are detectable at the IMS array USRK with probability 0.99, when using template waveforms consisting only of P -waves, without false alarms. We conservatively find that these thresholds also increase by up to a magnitude unit for sources locatedmore » 4 km or more from the Feb.12, 2013 announced nuclear test.« less
- Published
- 2016
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