| 基于优化参数的地震P、S波震相到时自动拾取及质量评估 |
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| 引用本文： | 杨旭,李永华,苏伟,孙莲.基于优化参数的地震P、S波震相到时自动拾取及质量评估[J].地球物理学报,2019,62(11):4290-4299. |
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| 作者姓名： | 杨旭 李永华 苏伟 孙莲 |
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| 作者单位： | 1. 中国地震局地球物理研究所, 北京 100081;2. 中国地震局地震观测与地球物理成像重点实验室, 北京 100081 |
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| 基金项目： | 国家自然科学基金项目（41874108，41474072，41674064）资助. |
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| 摘 要： | 准确拾取P、S波震相到时是深入开展地震波研究工作的基础，本文改进了自动拾取参数优化函数算法和质量评估方案，引入了拾取到时优化方案，使用基于参数优化的频带-带宽拾取算法、AICD拾取算法和峰度拾取算法对腾冲地区7个宽频带地震台站记录的地震资料开展了地震P、S波到时自动拾取，对拾取结果进行了优化和质量判定.结果表明：经参数优化、拾取优化后，采用3种方法自动拾取的P、S波到时与人工拾取到时的时差在0.1 s内的记录占比分别达到74.66%、70.98%.这些参数值均优于算法改进前的同类参数，证明了优化方法的可靠性.
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| 关 键 词： | 震相自动拾取 拾取参数优化 质量评估 频带-带宽拾取算法 AICD拾取算法 峰度拾取算法 |
| 收稿时间： | 2018-02-01 |
Optimized automatic pickers and quality assessment: Application to identification of local and regional P and S wave phases |
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| YANG Xu,LI YongHua,SU Wei,SUN Lian.Optimized automatic pickers and quality assessment: Application to identification of local and regional P and S wave phases[J].Chinese Journal of Geophysics,2019,62(11):4290-4299. |
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| Authors: | YANG Xu LI YongHua SU Wei SUN Lian |
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| Affiliation: | 1. Institute of Geophysics, China Earthquake Administration, Beijing 100081, China;2. Key Laboratory of Seismic Observation and Geophysical Imaging, China Earthquake Administration, Beijing 100081, China |
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| Abstract: | Accurate phase detection and picking of seismic wave arrivals are the foundation of subsequent seismic analyses. This paper presents an optimization method to pick arrivals of seismic P and S waves, and puts forward a revised cost minimization approach to train three automatic pickers:the frequency-band picker, the Akaike information criteria function derivative picker and the kurtosis picker at 7 broadband stations located in the Tengchong area, Yunnan. We also propose a revised weighting scheme that uses four independent factors of weight to assign a weight to 1533 automatic phase picks of local and regional earthquakes. Four independent factors are calculated to assess the quality of the automatic identification of P- and S-phase. Comparison of automatic picks and manual picks shows that 74.66% for P-picks and 70.98% for S-picks are less than 0.1 seconds. These automatic pickers using the optimized approaches described here improve the accuracy of the automatic picks compared with previous automatic pickers. |
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| Keywords: | Automatic identification of seismic phase Optimization of picking parameters Assessment of picker performance Frequency-band method AICD method Kurtosis method |
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