| Titre | Automatic detection and characterization of seismic tremors in northern Cascadia |
| |
| Auteur | Kao, H ; Thompson,
P J; Rogers, G; Dragert, H; Spence, G |
| Source | Geophysical Research Letters vol. 34, no. 16, 2007 p. 1-6, https://doi.org/10.1029/2007gl030822 |
| Image |  |
| Année | 2007 |
| Séries alt. | Secteur des sciences de la Terre, Contribution externe 20070182 |
| Éditeur | Wiley-Blackwell |
| Document | publication en série |
| Lang. | anglais |
| DOI | https://doi.org/10.1029/2007gl030822 |
| Media | papier; en ligne; numérique |
| Formats | pdf |
| Programme | Réduction des risques dus aux aléas naturels |
| Diffusé | 2007 08 28 |
| Résumé | (disponible en anglais seulement)
We develop an algorithm that automatically detects and characterizes seismic waveforms associated with episodic tremor and slip (ETS) events in northern
Cascadia. For each hour-long seismogram, the process begins with the calculation of moving average and scintillation index functions. A logic chart is designed to sort the observed waveform patterns into a set of classes based on these functions. An
ETS event is always manifest by many station-hours with coherent tremor (CT) patterns. Automatic analysis of seismic waveforms recorded in the past three years gives results consistent with the work done by tedious visual inspection of seismograms.
Our algorithm, which is free from human oversight, is ideal for an automatic tremor monitoring system to give immediate notice of an ETS event. |
| GEOSCAN ID | 224156 |
|
|