杨旭^1,,
李永华^1,2,,,
苏伟¹,
孙莲¹
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

基金项目: 国家自然科学基金项目（41874108，41474072，41674064）资助


详细信息

作者简介: 杨旭, 女, 1991年生, 在读硕士研究生, 固体地球物理学专业, 目前主要从事地球内部结构方面的研究.E-mail:yangxu161@cea-igp.ac.cn

通讯作者: 李永华, 男, 1975年生, 研究员, 主要从事地球内部结构和地球动力学研究.E-mail:liyh@cea-igp.ac.cn

中图分类号: P315

收稿日期:2018-02-01
修回日期:2019-07-21
上线日期:2019-11-05

Optimized automatic pickers and quality assessment: Application to identification of local and regional P and S wave phases

YANG Xu^1,,
LI YongHua^1,2,,,
SU Wei¹,
SUN Lian¹
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


More Information

Corresponding author: LI YongHua,E-mail:liyh@cea-igp.ac.cn

MSC: P315

--> Received Date: 01 February 2018
Revised Date: 21 July 2019
Available Online: 05 November 2019


摘要
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.
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

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.
Key words:Automatic identification of seismic phase/
Optimization of picking parameters/
Assessment of picker performance/
Frequency-band method/
AICD method/
Kurtosis method



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