Computer Science
Scientific paper
Jun 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007ep%26s...59..567n&link_type=abstract
Earth, Planets and Space, Volume 59, p. 567-577.
Computer Science
Scientific paper
An automatic detection and a precise picking of the arrival times of seismic waves using digital seismograms are important for earthquake early detection systems. Here we suggest a new method for detecting and picking Pand S-wave signals automatically. Compared to methods currently in use, our method requires fewer assumption with properties of the data time series. We divide a record into intervals of equal lengths and check the "local and weak stationarity" of each interval using the theory of the KM2O-Langevin equations. The intervals are stationary when these include only background noise, but the stationarity breaks abruptly when a seismic signal arrives and the intervals include both the background noise and the P-wave. This break of stationarity makes us possible to detect P-wave arrival. We expand the method for picking of S-waves. We applied our method to earthquake data from Hi-net Japan, and 90% of P-wave auto-picks were found to be within 0.1 s of the corresponding manual picks, and 70% of S-wave picks were within 0.1 s of the manual picks. This means that our method is accurate enough to use as a part of the seismic early detection system.
Matsuura Mikako
Nakamula Sho
Okabe Yutaka
Takeo Minoru
No associations
LandOfFree
Automatic seismic wave arrival detection and picking with stationary analysis: Application of the KM2O-Langevin equations does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Automatic seismic wave arrival detection and picking with stationary analysis: Application of the KM2O-Langevin equations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automatic seismic wave arrival detection and picking with stationary analysis: Application of the KM2O-Langevin equations will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-878846