Automatic seismic wave arrival detection and picking with stationary analysis:: Application of the KM2O-Langevin equations
Automatic seismic wave arrival detection and picking with stationary analysis:: Application of the KM2O-Langevin equations
复制标题
DOI：
10.1186/bf03352719
复制
发表时间：
2007-01-01
影响因子：
3
通讯作者：
Matsuura, Masaya
中科院分区：
文献类型：
--
作者：
Nakamula, Sho;Takeo, Minoru;Matsuura, Masaya
利用数字地震记录自动检测和精确拾取地震波的到达时间是地震早期探测系统的重要内容。本文提出了一种自动检测和拾取P波和S波信号的新方法。与目前使用的方法相比，我们的方法需要更少的假设与数据时间序列的属性。我们将记录分成等长的区间，并使用KM 2 O-朗之万方程理论检查每个区间的“局部和弱平稳性”。当这些间隔仅包括背景噪声时，间隔是平稳的，但是当地震信号到达并且间隔包括背景噪声和P波时，平稳性突然中断。这种平稳性的破坏使我们有可能检测到P波的到来。我们扩展了S波拾取的方法。我们将我们的方法应用于Hi-net日本的地震数据，发现90%的P波自动拾取在相应手动拾取的0.1 s内，70%的S波拾取在0.手动拾取的1 s。这意味着我们的方法足够精确，可以用作地震早期检测系统的一部分。
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 P and 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.