地球物理学进展 ›› 2019, Vol. 34 ›› Issue (3): 862-869.doi: 10.6038/pg2019CC0218

• 固体地球物理及空间物理学(大气、行星、地球动力学、重磁电及地震学、地热学) • 上一篇    下一篇

基于接收函数与背景噪声联合反演的研究与应用

陈俊磊,郑定,龙飞明   

  1. 云南省地震局,昆昌, 650224
  • 收稿日期:2018-10-11 修回日期:2019-04-18 出版日期:2019-06-20 发布日期:2019-07-09
  • 作者简介:陈俊磊,男,1985年生,云南永善人,在读博士研究生,助理研究员,主要从事地球内部结构研究.(E-mail: phdcjl@126.com)
  • 基金资助:
    云南省地震局地震科技自立项目(2017ZX01);云南省地震局地震科技自立项目(2017K04)

Joint inversion of receiver function and ambient noise: research and application

CHEN Jun-lei,ZHENG Ding-chang,LONG Fei   

  1. Yunnan Earthquake Agency,Kunming 650224,China
  • Received:2018-10-11 Revised:2019-04-18 Online:2019-06-20 Published:2019-07-09

摘要:

本文回顾了接收函数线性反演及接收函数与频散曲线联合反演的理论.为了检验两种方法在实测数据中的应用效果,我们选择云南区域台网位于四个不同次级块体的四个台站为例:首先,计算了四个台站的远震P波接收函数;然后,分别运用接收函数线性反演和接收函数与背景噪声数据联合反演两种方法分别得到台站下方的S波速度结构;另外,运用H-k扫描方法验证两种反演方法获取的莫霍面深度的可靠性.在反演过程中,当我们提供具有深一些莫霍面的初始模型时,联合反演获取的莫霍面深度与H-k扫描结果具有很好的一致性,同时联合反演也能有效地捕捉低速层,对反演的S波速度也有较好的约束.由此推知,加入背景噪声相速度数据后的联合反演对初始模型的依赖性低于单独用接收函数反演的结果.

关键词: P波接收函数, 线性反演, 联合反演, H-k扫描

Abstract:

In this article we review the theories of Receiver Functions (RFS) linearized inversion and joint inversion of RFS and dispersion curves. To test the application of those two methods in real data, we take 4 stations located in 4 deferent geotectonics which belong to Yunnan area as examples. Firstly we obtain 181 teleseismic waveforms and compute the P receiver functions of these 4 stations. Then we select the RFS with good Signal to Noise Ratio (SNR) and without stacking to inverse these 4 stations'S wave velocity by the two methods mentioned above. In the joint inversion method, the Rayleigh Wave Phase Velocities (RWPV) dispersion curves come from ambient noise tomography phase velocities distribution data. In addition, we use the H-k scanning technology to verify the reliability of Moho depths from inversions. According to the results of inversions we find that when we apply an initial model with deeper Moho discontinuity surface, the joint inversion method can obtain reliable Moho depths according well with H-k scanning method. Meanwhile the joint inversion method can restrain well on the inversed S wave velocity structure comparing to just by RFS inversion. Thus we infer that the joint inversion method depends less on initial model than RFS linearized inversion method.

Key words: P receiver functions, Linearized inversion, Joint inversion, H-k scanning

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