A Time-Domain Detection Approach to Identify Small Earthquakes within the Continental United States Recorded by the USArray and Regional Networks

摘要: Abstract Technological advances in combination with the onslaught of data availability allow for large seismic streams to automatically and systematically be recorded, processed, stored. Here, we develop an automated approach identify small, local earthquakes within these continuous records. Our aim is automate process detecting small events triggered by a distant earthquake, recorded at single station. Specifically, apply time‐domain short‐term average (STA) long‐term (LTA) ratio algorithms three‐component create catalog detections. We remove some false detections requiring detection on minimum two channels. To calibrate algorithm, compare our automatic set analyst‐derived P ‐wave arrival times subset occurring December 2008 Yellowstone swarm. Of four STA/LTA test (1 s/10 s; 4 s/40 s; 8 s/80 s; 16 s/160 s), 1 s/10 s 4 s/40 s detectors proved most effective identifying majority ±45  hrs ±5  hrs USArray from 2011 Japan M  9.0 2010 Chile  8.8 earthquakes, respectively. Using time‐of‐day versus number relationships, 38 728 available stations that exhibit strong anthropogenic noise following earthquake. algorithm identified three regional concurrent passage S ‐ surface waves mainshock station R11A locate Coso region California, as well Texas