题名 | Improved High-Resolution 3D Vs Model of Long Beach, CA: Inversion of Multimodal Dispersion Curves From Ambient Noise of a Dense Array |
作者 | |
通讯作者 | Chen, Xiaofei |
发表日期 | 2022-02-28
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DOI | |
发表期刊 | |
ISSN | 0094-8276
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EISSN | 1944-8007
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卷号 | 49期号:4 |
摘要 | ["Ambient noise recorded by a dense seismic array provides an opportunity to resolve detailed 3D shear wave velocity (Vs) structures. We utilize the frequency-Bessel transform (F-J) method to compute the dispersion spectrogram for ambient noise recorded by the Long Beach seismic array, extract multimodal dispersion curves with a deep learning approach, and invert multimodal dispersion curves with a gradient algorithm. The addition of higher-mode dispersion curves reduces nonuniqueness and provides an improved high-resolution 3D Vs model that shows good correlations with the known stratigraphic sequence and geologic features in the study area. Furthermore, the Richard fault between the Pacific Coast Highway and Newport-Inglewood faults, which have never been discussed in previous studies, is resolved. Our study demonstrates the potential of using the F-J method to extract multimodal dispersion curves and consequently retrieve an improved high-resolution 3D Vs model from a dense seismic array.","Plain Language Summary A seismometer not only records earthquake events but also records weak vibration signals in the environment. Researchers use the seemingly irregular ambient vibration recorded by a dense seismic array to obtain the shear wave velocity (Vs) structure underground. In this study, the ambient vibration recorded by the Long Beach seismic array is analyzed with a recently developed frequency-Bessel transform method, which can effectively extract higher-mode dispersion curves. For each subarray, we measure the dispersion curves with this recently developed method and simultaneously invert the fundamental and higher-mode dispersion curves to obtain a 1D Vs model. Then, we merge all 1D Vs models at each subarray to construct a 3D Vs model. Our model shows high-resolution features in both lateral and vertical directions, which correlate well with known geological backgrounds. In addition, the Pacific Coast Highway fault, Newport-Inglewood fault, and Richfield fault never discussed in the previous velocity model, are clearly resolved in this study."] |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
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学校署名 | 第一
; 通讯
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资助项目 | National Natural Science Foundation of China[41974044,41790465,"U1901602",42004032,42104048]
; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)[GML2019ZD0203]
; Shenzhen Science and Technology Program[KQTD20170810111725321]
; China Postdoctoral Science Foundation[2021M691406]
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WOS研究方向 | Geology
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WOS类目 | Geosciences, Multidisciplinary
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WOS记录号 | WOS:000765659300088
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出版者 | |
EI入藏号 | 20221111771049
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EI主题词 | 3D modeling
; Acoustic noise
; Beaches
; Deep learning
; Seismology
; Shear flow
; Shear waves
; Stratigraphy
; Wave propagation
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EI分类号 | Coastal Engineering:407.3
; Ergonomics and Human Factors Engineering:461.4
; Geology:481.1
; Earthquake Measurements and Analysis:484.1
; Fluid Flow, General:631.1
; Data Processing and Image Processing:723.2
; Acoustic Noise:751.4
; Mechanics:931.1
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ESI学科分类 | GEOSCIENCES
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来源库 | Web of Science
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引用统计 |
被引频次[WOS]:20
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/308545 |
专题 | 理学院_地球与空间科学系 前沿与交叉科学研究院 |
作者单位 | 1.Southern Univ Sci & Technol, Shenzhen Key Lab Deep Offshore Oil & Gas Explorat, Shenzhen, Peoples R China 2.Southern Univ Sci & Technol, Dept Earth & Space Sci, Shenzhen, Peoples R China 3.Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou, Peoples R China 4.Southern Univ Sci & Technol, Acad Adv Interdisciplinary Studies, Shenzhen, Peoples R China 5.Univ Sci & Technol China, Sch Earth & Space Sci, Hefei, Peoples R China |
第一作者单位 | 南方科技大学; 地球与空间科学系 |
通讯作者单位 | 南方科技大学; 地球与空间科学系 |
第一作者的第一单位 | 南方科技大学 |
推荐引用方式 GB/T 7714 |
Fu, Lei,Pan, Lei,Li, Zhengbo,et al. Improved High-Resolution 3D Vs Model of Long Beach, CA: Inversion of Multimodal Dispersion Curves From Ambient Noise of a Dense Array[J]. GEOPHYSICAL RESEARCH LETTERS,2022,49(4).
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APA |
Fu, Lei,Pan, Lei,Li, Zhengbo,Dong, Sheng,Ma, Qingbo,&Chen, Xiaofei.(2022).Improved High-Resolution 3D Vs Model of Long Beach, CA: Inversion of Multimodal Dispersion Curves From Ambient Noise of a Dense Array.GEOPHYSICAL RESEARCH LETTERS,49(4).
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MLA |
Fu, Lei,et al."Improved High-Resolution 3D Vs Model of Long Beach, CA: Inversion of Multimodal Dispersion Curves From Ambient Noise of a Dense Array".GEOPHYSICAL RESEARCH LETTERS 49.4(2022).
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