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Published August 16, 2015 | Published + Supplemental Material
Journal Article Open

Imaging widespread seismicity at midlower crustal depths beneath Long Beach, CA, with a dense seismic array: Evidence for a depth-dependent earthquake size distribution

Abstract

We use a dense seismic array composed of 5200 vertical geophones to monitor microseismicity in Long Beach, California. Poor signal-to-noise ratio due to anthropogenic activity is mitigated via downward-continuation of the recorded wavefield. The downward-continued data are continuously back projected to search for coherent arrivals from sources beneath the array, which reveals numerous, previously undetected events. The spatial distribution of seismicity is uncorrelated with the mapped fault traces, or with activity in the nearby oil-fields. Many events are located at depths larger than 20 km, well below the commonly accepted seismogenic depth for that area. The seismicity exhibits temporal clustering consistent with Omori's law, and its size distribution obeys the Gutenberg-Richter relation above 20 km but falls off exponentially at larger depths. The dense array allows detection of earthquakes two magnitude units smaller than the permanent seismic network in the area. Because the event size distribution above 20 km depth obeys a power law whose exponent is near one, this improvement yields a hundred-fold decrease in the time needed for effective characterization of seismicity in Long Beach.

Additional Information

© 2015 American Geophysical Union. Received 13 JUN 2015; Accepted 24 JUL 2015; Accepted article online 29 JUL 2015; Published online 13 AUG 2015. We thank Dan Hollis of Nodalseismic Inc for supplying the data used in this study and Signal Hill Petroleum for giving permission to use it. Comments from two anonymous reviewers have helped improve this manuscript. This work was supported by the NSF award EAR-1214912 and a THOR award that funded the mass-storage system for data archiving. The Editor thanks two anonymous reviewers for their assistance in evaluating this paper.

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Published - grl53271.pdf

Supplemental Material - grl53271-sup-0001-supinfo.pdf

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