Improving signal-to-noise ratios of ambient noise cross-correlation functions using local attributes

IF 2.8 3区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Geophysical Journal International Pub Date : 2024-07-03 DOI:10.1093/gji/ggae228
Bin He, Hejun Zhu, David Lumley
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Abstract

Summary For seismographic stations with short acquisition duration, the signal-to-noise ratios (SNRs) of ambient noise cross-correlation functions (CCFs) are typically low, preventing us from accurately measuring surface wave dispersion curves or waveform characteristics. In addition, with noisy CCFs, it is difficult to extract relatively weak signals such as body waves. In this study, we propose to use local attributes to improve the SNRs of ambient noise CCFs, which allows us to enhance the quality of CCFs for stations with limited acquisition duration. Two local attributes: local cross-correlation and local similarity, are used in this study. The local cross-correlation allows us to extend the dimensionality of daily CCFs with computational costs similar to global cross-correlation. Taking advantage of this extended dimensionality, the local similarity is then used to measure non-stationary similarity between the extended daily CCFs with a reference trace, which enables us to design better stacking weights to enhance coherent features and attenuate incoherent background noises. Ambient noise recorded by several broadband stations from the USArray in North Texas and Oklahoma, the Superior Province Rifting EarthScope Experiment in Minnesota and Wisconsin and a high-frequency nodal array deployed in the northern Los Angeles basin are used to demonstrate the performance of the proposed approach for improving the SNR of CCFs.
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利用局部属性改善环境噪声交叉相关函数的信噪比
摘要 对于采集时间较短的地震台站,环境噪声交叉相关函数(CCF)的信噪比(SNR)通常较低,使我们无法准确测量面波频散曲线或波形特征。此外,由于 CCF 存在噪声,因此很难提取体波等相对较弱的信号。在本研究中,我们建议使用局部属性来提高环境噪声 CCF 的信噪比,这样我们就能在采集时间有限的站点提高 CCF 的质量。本研究使用了两种局部属性:局部交叉相关性和局部相似性。局部交叉相关允许我们扩展每日 CCF 的维度,计算成本与全局交叉相关类似。利用这种扩展维度的优势,局部相似性可用于测量扩展的每日 CCF 与参考轨迹之间的非稳态相似性,这使我们能够设计更好的堆叠权重,以增强相干特征并减弱非相干背景噪声。来自北德克萨斯州和俄克拉荷马州的美国阵列、明尼苏达州和威斯康星州的苏必利尔省裂陷地球范围实验以及部署在洛杉矶盆地北部的高频节点阵列的几个宽带站记录的环境噪声被用来演示所提出的提高 CCF 信噪比的方法的性能。
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来源期刊
Geophysical Journal International
Geophysical Journal International 地学-地球化学与地球物理
CiteScore
5.40
自引率
10.70%
发文量
436
审稿时长
3.3 months
期刊介绍: Geophysical Journal International publishes top quality research papers, express letters, invited review papers and book reviews on all aspects of theoretical, computational, applied and observational geophysics.
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