Real-time characterization of large earthquakes using the predominant period derived from 1Hz GPS data
Earthquake early warning (EEW) systems’ performance is driven by the trade-off between the need for a rapid alert and the accuracy of each solution. A challenge for many EEW systems has been the magnitude saturation for large events (Mw>7) and the resulting underestimation of seismic moment magni...
| Main Authors: | , , |
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| Format: | Article |
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American Geophysical Union
2018
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| Online Access: | https://eprints.nottingham.ac.uk/49321/ |
| _version_ | 1848797972422197248 |
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| author | Psimoulis, Panos Houlié, Nicolas Behr, Yannik |
| author_facet | Psimoulis, Panos Houlié, Nicolas Behr, Yannik |
| author_sort | Psimoulis, Panos |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Earthquake early warning (EEW) systems’ performance is driven by the trade-off between the need for a rapid alert and the accuracy of each solution. A challenge for many EEW systems has been the magnitude saturation for large events (Mw>7) and the resulting underestimation of seismic moment magnitude. In this study, we test the performance of high-rate (1Hz) GPS, based on seven seismic events, to evaluate whether long-period ground motions can be measured well enough to infer reliably earthquake predominant periods. We show that high-rate GPS data allow the computation of a GPS-based predominant period (τg) to estimate lower bounds for the magnitude of earthquakes and distinguish between large (MW>7) and great (MW>8) events and thus extend the capability of EEW systems for larger events. It is also identified the impact of the different value of the smoothing factor α on the τg results and how the sampling rate and the computation process differentiates τg from the commonly used τp. |
| first_indexed | 2025-11-14T20:12:22Z |
| format | Article |
| id | nottingham-49321 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:12:22Z |
| publishDate | 2018 |
| publisher | American Geophysical Union |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-493212020-05-04T19:28:18Z https://eprints.nottingham.ac.uk/49321/ Real-time characterization of large earthquakes using the predominant period derived from 1Hz GPS data Psimoulis, Panos Houlié, Nicolas Behr, Yannik Earthquake early warning (EEW) systems’ performance is driven by the trade-off between the need for a rapid alert and the accuracy of each solution. A challenge for many EEW systems has been the magnitude saturation for large events (Mw>7) and the resulting underestimation of seismic moment magnitude. In this study, we test the performance of high-rate (1Hz) GPS, based on seven seismic events, to evaluate whether long-period ground motions can be measured well enough to infer reliably earthquake predominant periods. We show that high-rate GPS data allow the computation of a GPS-based predominant period (τg) to estimate lower bounds for the magnitude of earthquakes and distinguish between large (MW>7) and great (MW>8) events and thus extend the capability of EEW systems for larger events. It is also identified the impact of the different value of the smoothing factor α on the τg results and how the sampling rate and the computation process differentiates τg from the commonly used τp. American Geophysical Union 2018-01-24 Article PeerReviewed Psimoulis, Panos, Houlié, Nicolas and Behr, Yannik (2018) Real-time characterization of large earthquakes using the predominant period derived from 1Hz GPS data. Geophysical Research Letters . ISSN 0094-8276 http://onlinelibrary.wiley.com/doi/10.1002/2017GL075816/abstract doi:10.1002/2017GL075816 doi:10.1002/2017GL075816 |
| spellingShingle | Psimoulis, Panos Houlié, Nicolas Behr, Yannik Real-time characterization of large earthquakes using the predominant period derived from 1Hz GPS data |
| title | Real-time characterization of large earthquakes using the predominant period derived from 1Hz GPS data |
| title_full | Real-time characterization of large earthquakes using the predominant period derived from 1Hz GPS data |
| title_fullStr | Real-time characterization of large earthquakes using the predominant period derived from 1Hz GPS data |
| title_full_unstemmed | Real-time characterization of large earthquakes using the predominant period derived from 1Hz GPS data |
| title_short | Real-time characterization of large earthquakes using the predominant period derived from 1Hz GPS data |
| title_sort | real-time characterization of large earthquakes using the predominant period derived from 1hz gps data |
| url | https://eprints.nottingham.ac.uk/49321/ https://eprints.nottingham.ac.uk/49321/ https://eprints.nottingham.ac.uk/49321/ |