| Adaptive Denoising Approach for High-Rate GNSS Seismic Waveform Preservation Application to the 2010 El Mayor-Cucapah Earthquake and 2012 Brawley Seismic Swarm | |
Li, Yanyan; Xu, Caijun; Chen, Chuanfa; Yin, Haitao; Yi, Lei ; He, Xiaoxing
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| 2019 | |
| 发表期刊 | IEEE ACCESS
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| ISSN | 2169-3536 |
| 卷号 | 7 |
| 摘要 | The high noise levels of high-rate Global Navigation Satellite System (GNSS) solutions limit their seismological applications, including capturing earthquake-induced coseismic displacements. In this study, we developed a new adaptive denoising approach for high-rate GNSS observations to improve the precision of seismic displacements and preserve seismic waveforms in GNSS coseismic signals. The performance of the proposed method was evaluated using high-rate (5 Hz) GNSS data acquired from the moderate El Mayor-Cucapah earthquake (M-w 7.2) on 4 April 2010 and the small Brawley seismic swarm (M-w 4.6-5.5) on 26 August 2012. The performance of the proposed method was compared with those of modified sidereal filtering, Stacking filtering, and MSF plus Stacking. The comparison showed that the proposed method is more precise than other widely used method. It can significantly remove high-frequency white noise and low-frequency colored noise caused by CME, multipath errors, and/or other unmodeled systematic errors in high-rate GNSS displacements. The results were also compared with collocated strong motion data (50 and 200 Hz). The high precision of the proposed method was mainly afforded by the high performance of complete ensemble empirical mode decomposition, which was used to decompose the GNSS signal into different frequency modes. However, the normalized autocorrelation function and correlation coefficients used to determine the noise-dominated high-frequency modes and the wavelet-like soft-threshold used for direct denoising of the noise-dominated high-frequency modes also contributed. Despite the high noise levels of GNSS solutions, especially regarding the vertical displacement components, some small-amplitude details, which are usually only detectable by seismic instruments, could be observed in the denoised displacements in this study. The results reported herein indicate that the proposed method significantly improves the precision and reliability of GNSS displacements and the effectiveness of seismic signal detection, which is particularly critical for the measurement of earthquake-induced coseismic displacements. |
| DOI | 10.1109/ACCESS.2019.2956780 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.isl.ac.cn/handle/363002/34001 |
| 专题 | 盐湖地质与环境实验室 中国科学院青海盐湖研究所 |
| 推荐引用方式 GB/T 7714 | Li, Yanyan,Xu, Caijun,Chen, Chuanfa,et al. Adaptive Denoising Approach for High-Rate GNSS Seismic Waveform Preservation Application to the 2010 El Mayor-Cucapah Earthquake and 2012 Brawley Seismic Swarm[J]. IEEE ACCESS,2019,7. |
| APA | Li, Yanyan,Xu, Caijun,Chen, Chuanfa,Yin, Haitao,Yi, Lei,&He, Xiaoxing.(2019).Adaptive Denoising Approach for High-Rate GNSS Seismic Waveform Preservation Application to the 2010 El Mayor-Cucapah Earthquake and 2012 Brawley Seismic Swarm.IEEE ACCESS,7. |
| MLA | Li, Yanyan,et al."Adaptive Denoising Approach for High-Rate GNSS Seismic Waveform Preservation Application to the 2010 El Mayor-Cucapah Earthquake and 2012 Brawley Seismic Swarm".IEEE ACCESS 7(2019). |
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| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Adaptive Denoising A（3257KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 | |
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