Applying Waveform Correlation and Waveform Template Metadata to Aftershocks in the Middle East to Reduce Analyst Workload

Abstract

Organizations that monitor for underground nuclear explosive tests are interested in techniques that automatically characterize recurring events such as aftershocks to reduce the human analyst effort required to produce high - quality event bulletins. Waveform correlation is a technique that is effective in finding similar waveforms from repeating seismic events . In this study , we apply waveform correlation in combination with template event metadata to two aftershock sequences in the Middle East to seek corroborating detections from multiple stations in the International Monitoring System of the Preparatory Commission for the Comprehensive Nuclear - Test - Ban Treaty Organization . We use waveform templates from stations that are within regional distance of aftershock sequences to detect subsequent events , then use template ev ent metadata to discover what stations are likely to record corroborating arrival waveforms for recurring aftershock events at the same location , and develop additional waveform templates to seek corroborating detections. We evaluate the results with the goal of determining whether applying the method to aftershock events will improve the choice of waveform correlation detections that lead to bulletin - worthy events and reduction of analyst effort.