Robust automatic P-phase picking: an on-line implementation in the analysis of broadband seismogram recordings
Robust automatic P-phase picking: an on-line implementation in the analysis of broadband seismogram recordings
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DOI：
10.1016/s0031-9201(99)00007-2
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发表时间：
1999-06-01
影响因子：
2.3
通讯作者：
van Eck, T
中科院分区：
文献类型：
--
作者：
Sleeman, R;van Eck, T
地震信号的爆发是通过噪声和地震信号的联合 AR 建模以及使用爆发时间作为参数应用 Akaike 信息准则 (AIC) 来确定的。这种所谓的 AR-AIC 相位选择器已成功测试并在宽带站 HGN 的 Z 组件上实施，为快速预警系统提供自动 P 相位选择。 AR-AIC 选择器被证明可以在大型实验数据库上提供准确且强大的自动选择。在本地、区域和远震地震中信噪比 (SNR) 高于 1 的 1109 个 P 相爆发中，我们的实施检测到了 71%，并给出了手动选取 0.1 秒的平均差异。 Baer 和 Kradolfer 完善的选取器的最佳版本 [Baer, M., Kradolfer, U., 用于本地和远震事件的自动相位选取器，Bull。地震。秒。是。 77 (1987) 1437-1445] 检测到小于 41%，并使用相同的数据集给出与手动选取 0.3 s 的平均差异。 (C) 1999 Elsevier Science B.V. 保留所有权利。
The onset of a seismic signal is determined through joint AR modeling of the noise and the seismic signal, and the application of the Akaike Information Criterion (AIC) using the onset time as parameter. This so-called AR-AIC phase picker has been tested successfully and implemented on the Z-component of the broadband station HGN to provide automatic P-phase picks for a rapid warning system. The AR-AIC picker is shown to provide accurate and robust automatic picks on a large experimental database. Out of 1109 P-phase onsets with signal-to-noise ratio (SNR) above 1 from local, regional and teleseismic earthquakes, our implementation detects 71% and gives a mean difference with manual picks of 0.1 s. An optimal version of the well-established picker of Baer and Kradolfer [Baer, M., Kradolfer, U., An automatic phase picker for local and teleseismic events, Bull. Seism. Sec. Am. 77 (1987) 1437-1445] detects less than 41% and gives a mean difference with manual picks of 0.3 s using the same dataset. (C) 1999 Elsevier Science B.V. All rights reserved.