Rapid Station and Network Quality Analysis for Temporary Deployments

Research Article| May 08, 2019 Rapid Station and Network Quality Analysis for Temporary Deployments David C. Wilson; David C. Wilson Corresponding Author aAlbuquerque Seismological Laboratory, U.S. Geological Survey, P.O. Box 82010, Albuquerque, New Mexico 87198‐2010 U.S.A., dwilson@usgs.gov Search for other works by this author on: GSW Google Scholar Adam T. Ringler; Adam T. Ringler aAlbuquerque Seismological Laboratory, U.S. Geological Survey, P.O. Box 82010, Albuquerque, New Mexico 87198‐2010 U.S.A., dwilson@usgs.gov Search for other works by this author on: GSW Google Scholar Tyler L. Storm; Tyler L. Storm aAlbuquerque Seismological Laboratory, U.S. Geological Survey, P.O. Box 82010, Albuquerque, New Mexico 87198‐2010 U.S.A., dwilson@usgs.gov Search for other works by this author on: GSW Google Scholar Robert E. Anthony Robert E. Anthony aAlbuquerque Seismological Laboratory, U.S. Geological Survey, P.O. Box 82010, Albuquerque, New Mexico 87198‐2010 U.S.A., dwilson@usgs.gov Search for other works by this author on: GSW Google Scholar Author and Article Information David C. Wilson Corresponding Author aAlbuquerque Seismological Laboratory, U.S. Geological Survey, P.O. Box 82010, Albuquerque, New Mexico 87198‐2010 U.S.A., dwilson@usgs.gov Adam T. Ringler aAlbuquerque Seismological Laboratory, U.S. Geological Survey, P.O. Box 82010, Albuquerque, New Mexico 87198‐2010 U.S.A., dwilson@usgs.gov Tyler L. Storm aAlbuquerque Seismological Laboratory, U.S. Geological Survey, P.O. Box 82010, Albuquerque, New Mexico 87198‐2010 U.S.A., dwilson@usgs.gov Robert E. Anthony aAlbuquerque Seismological Laboratory, U.S. Geological Survey, P.O. Box 82010, Albuquerque, New Mexico 87198‐2010 U.S.A., dwilson@usgs.gov Publisher: Seismological Society of America First Online: 08 May 2019 Online Issn: 1938-2057 Print Issn: 0895-0695 © Seismological Society of America Seismological Research Letters (2019) 90 (4): 1494–1501. https://doi.org/10.1785/0220180365 Article history First Online: 08 May 2019 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation David C. Wilson, Adam T. Ringler, Tyler L. Storm, Robert E. Anthony; Rapid Station and Network Quality Analysis for Temporary Deployments. Seismological Research Letters 2019;; 90 (4): 1494–1501. doi: https://doi.org/10.1785/0220180365 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietySeismological Research Letters Search Advanced Search ABSTRACT Seismic station data quality is commonly defined by metrics such as data completeness or background seismic noise levels in specific frequency bands. However, for temporary networks such as aftershock deployments or induced seismicity monitoring, the most critical metric is often how well the station performs when recording events of interest. A timely measure of station performance can be used for real‐time network maintenance and to help make decisions about which stations may need to be moved or are redundant. We develop new event‐based methods to quickly assess station and network performance, including estimating network magnitude of completeness, determining station signal‐to‐noise ratios as a function of earthquake magnitude, and computing relative station amplitudes. At times, a complete catalog of local seismic events may not exist such as in an aftershock deployment in which hundreds to thousands of small earthquakes may be happening and catalog generation efforts cannot keep up. To overcome this, we use an envelope of the average energy recorded by the network to identify events of interest. We find the log amplitude of events identified using this technique scales linearly with local earthquake magnitudes. We examine two U.S. Geological Survey aftershock networks in Oklahoma to demonstrate this approach can be used to identify poorly performing stations and determine network detection thresholds as early as one day following the deployment of a temporary network. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.