| 一种适用于地方震事件的S波到时自动拾取方法 |
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| 引用本文： | 张红才,廖诗荣,陈智勇,黄玲珠.一种适用于地方震事件的S波到时自动拾取方法[J].地震学报,2021,43(3):338-349. |
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| 作者姓名： | 张红才 廖诗荣 陈智勇 黄玲珠 |
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| 作者单位： | 中国福州 350003 福建省地震局;中国福建厦门 361000 中国地震局厦门海洋地震研究所;中国福州 350003 福建省地震局 |
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| 基金项目： | 地震科技星火计划（XH20028Y）和国家自然科学基金（E0810）共同资助 |
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| 摘 要： | 基于特征值分解方法，本文讨论了一种适用于地方震事件S波震相到时拾取的自动处理算法。该算法计算参数少、简便快捷、易于实现，通过选用七个不同长度的时间窗，有效地减小了窗长选择不合理所引起的震相拾取误差。利用福建地震台网记录的9 855条三分向波形记录进行测试，结果表明:本文方法的S波平均拾取偏差为（0.003±1.34） s，其中79.6%的记录拾取偏差小于0.5 s，4.1%的记录拾取偏差超过2.0 s，说明本文方法能够满足日常工作基本需求。综上分析认为，波形记录质量是影响拾取算法结果精度的最主要因素，信噪比较高的记录，其S波到时拾取偏差显著优于信噪比较低的记录，对信噪比较低的部分记录进行带通滤波预处理后，S波震相拾取精度也有所提升。
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| 关 键 词： | 特征值分解 S波 震相拾取 实时处理 信噪比 |
| 收稿时间： | 2020-07-09 |
An automatic S phase picking algorithm for local earthquake events |
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| Zhang Hongcai,Liao Shirong,Chen Zhiyong,Huang Lingzhu.An automatic S phase picking algorithm for local earthquake events[J].Acta Seismologica Sinica,2021,43(3):338-349. |
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| Authors: | Zhang Hongcai Liao Shirong Chen Zhiyong Huang Lingzhu |
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| Affiliation: | 1.Fujian Earthquake Agency，Fuzhou 350003，China2.Institute of Xiamen Marine Seismology，China Earthquake Administration，Fujian Xiamen 361000，China |
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| Abstract: | Base on eigenvalue decomposition calculation, we discussed an automatic S phase picking algorithm suitable for local earthquake events. The algorithm needs few parameters, less computer resources and is easy to realize. By choosing seven time windows with different time length, it effectively reduce the S phase pick errors that caused by unreasonable time window selection. By taking 9 855 three-component records of Fujian seismic monitoring network, we test the applicability and accuracy of this algorithm. The results show that average S phase picking error by this method is （0.003±1.34） s, 79.6% of them are within 0.5 s, 4.1% of them are greater than 2.0 s, which indicates that the algorithm can meet the demands for daily S phase picking. All above-mentioned suggests that the quality of records is the most important factor that affects the accuracy of picking results, the S phase picking errors for high signal-noise ratio records are usually smaller than those for low signal-noise ratio records, and the accuracy of S phase picking for some low signal-noise ratio records will be improved after a band-pass filter preprocess. |
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