题名 | Two-station analysis of passive surface waves with continuous wavelet transform and plane-wave-based beamforming |
作者 | |
通讯作者 | Li,Jing |
发表日期 | 2022-02-01
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DOI | |
发表期刊 | |
ISSN | 0926-9851
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卷号 | 197 |
摘要 | Using the cross-correlation or cross-coherence method to extract the traveltime information of surface waves between two stations from the ambient noise seismic data has become a popular method, which is widely utilized in shallow, regional, and global-scale geophysical surveys. Different from the common-used narrow-band filter (NBF), we adopt the continuous wavelet transform (CWT) as an alternative method to measure the phase velocity from the interstation cross-correlation function (CCF). On account of the distribution of urban noisy sources it is hard to satisfy the requirement of random, stable, uncorrelated, and uniform, which usually makes the measured phase-velocity uncertain. For those surveys with an ultra-short recording time of noise, the adverse effect would be more severe. Hence, we propose to adopt the plane-wave-based beamforming (PWBB) to scan the incoming direction of surface waves based on the hypothesis of plane-wave propagation. To suppress the incoherent components during the stack of CCFs, the phase-weighted stack (PWS) technique is also included in the proposed workflow. Several synthetic tests have verified the good performance of the new method. Especially when only a few seismic sensors are arranged in the research area, the advantages of our method would be more obvious. Then, the workflow is applied to the analysis of the field noise data, which were collected at Fengman hydropower station, Jilin province, China. The beamforming result indicates that the main component of the signals is produced by the effects of river scouring under the reservoir gate. Finally, the S-wave velocity tomogram of the research area and its geological interpretation are given. All data tests demonstrate that the proposed CWT with PWBB can achieve the stable dispersion measurement from the recorded seismic data of two station. |
关键词 | |
相关链接 | [Scopus记录] |
收录类别 | |
语种 | 英语
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学校署名 | 第一
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资助项目 | China Association for Science and Technology[2019QNRC001];National Natural Science Foundation of China[41874134];National Natural Science Foundation of China[42174065];
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EI入藏号 | 20220311486118
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EI主题词 | Beamforming
; Dispersion (waves)
; Geophysical prospecting
; Phase velocity
; Seismic response
; Seismic waves
; Shear waves
; Surveys
; Wavelet transforms
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EI分类号 | Geophysical Prospecting:481.4
; Seismology:484
; Secondary Earthquake Effects:484.2
; Electromagnetic Waves in Different Media:711.1
; Electromagnetic Waves in Relation to Various Structures:711.2
; Mathematical Transformations:921.3
; Mechanics:931.1
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ESI学科分类 | GEOSCIENCES
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Scopus记录号 | 2-s2.0-85122914259
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来源库 | Scopus
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引用统计 |
被引频次[WOS]:12
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/327770 |
专题 | 理学院_地球与空间科学系 |
作者单位 | 1.Department of Earth and Space Sciences,Southern University of Science and Technology,Shenzhen,518055,China 2.College of Geo-Exploration Science and Technology,Jilin University,Changchun,130026,China 3.School of Geomatics and Prospecting Engineering,Jilin Jianzhu University,Changchun,130118,China 4.School of Geological Engineering and Geomatics,Chang'An University,Xi'an,710054,China |
第一作者单位 | 地球与空间科学系 |
第一作者的第一单位 | 地球与空间科学系 |
推荐引用方式 GB/T 7714 |
Yan,Yingwei,Li,Jing,Huai,Nan,et al. Two-station analysis of passive surface waves with continuous wavelet transform and plane-wave-based beamforming[J]. JOURNAL OF APPLIED GEOPHYSICS,2022,197.
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APA |
Yan,Yingwei,Li,Jing,Huai,Nan,Guan,Jianbo,&Liu,Hui.(2022).Two-station analysis of passive surface waves with continuous wavelet transform and plane-wave-based beamforming.JOURNAL OF APPLIED GEOPHYSICS,197.
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MLA |
Yan,Yingwei,et al."Two-station analysis of passive surface waves with continuous wavelet transform and plane-wave-based beamforming".JOURNAL OF APPLIED GEOPHYSICS 197(2022).
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条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
1-s2.0-S092698512100(11859KB) | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA |
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