题名 | Crustal S-Wave Velocity Structure Beneath the Northwestern Bohemian Massif, Central Europe, Revealed by the Inversion of Multimodal Ambient Noise Dispersion Curves |
作者 | |
通讯作者 | Chen, Xiaofei |
发表日期 | 2022-02-08
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DOI | |
发表期刊 | |
EISSN | 2296-6463
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卷号 | 10 |
摘要 | The northwestern Bohemian Massif and adjacent areas are a tectonically active region associated with complex geodynamic activities, that manifest as Quaternary volcanism, earthquake swarms in the upper and middle crust, degassing of CO2, and crustal fluid migration. The intricate tectonic evolution and activities of this region reflect the complexity of the crustal structure therein. However, the crustal models derived from previous studies in this area offer different, even contradictory information regarding the existence of a mid-crustal low-velocity zone (LVZ). In this study, we apply the frequency-Bessel transform (F-J) method to extract the fundamental-mode and up to five higher-mode Rayleigh wave dispersion curves from ambient seismic noise data recorded in the study area and perform multimodal ambient noise dispersion curves inversion. The addition of higher-mode dispersion curves enhances the vertical resolution of the velocity structure inversion results. Our models support the view that the general S-wave velocity level of the crust is high within the study area. We detect two S-wave LVZs beneath the study area that are distributed mainly in the middle crust rather than the lower crust, and these LVZs are separated by a high-velocity zone. Considering the results of previous studies in the area, we infer that these S-wave LVZs may be the consequence of crustal fluids, plastic deformation and even partial melting of the felsic middle crust at relatively high crustal temperatures. Furthermore, these S-wave LVZs could be responsible for the origin and foci depth distribution of earthquake swarms. S-wave low-velocity anomalies are also observed in the uppermost mantle beneath the study area. These S-wave models based on the joint inversion of multimodal dispersion curves can provide new references for understanding the tectonic activity and geodynamic evolution of the northwestern Bohemian Massif and adjacent areas. |
关键词 | |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
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学校署名 | 通讯
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资助项目 | National Natural Science Foundation of China["U1901602",41790465]
; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)[GML2019ZD0203]
; Shenzhen Key Laboratory of Deep Offshore Oil and Gas Exploration Technology[ZDSYS20190902093007855]
; Shenzhen Science and Technology Program[KQTD20170810111725321]
; leading talents of Guangdong province program[2016LJ06N652]
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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:000760619400001
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出版者 | |
来源库 | Web of Science
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引用统计 |
被引频次[WOS]:6
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/291028 |
专题 | 理学院_地球与空间科学系 |
作者单位 | 1.Univ Sci & Technol China, Sch Earth & Space Sci, Hefei, Peoples R China 2.Southern Univ Sci & Technol, Shenzhen Key Lab Deep Offshore Oil & Gas Explorat, Shenzhen, Peoples R China 3.Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou, Peoples R China 4.Southern Univ Sci & Technol, Dept Earth & Space Sci, Shenzhen, Peoples R China |
第一作者单位 | 南方科技大学 |
通讯作者单位 | 南方科技大学; 地球与空间科学系 |
推荐引用方式 GB/T 7714 |
Ma, Qingbo,Pan, Lei,Wang, Jian-nan,et al. Crustal S-Wave Velocity Structure Beneath the Northwestern Bohemian Massif, Central Europe, Revealed by the Inversion of Multimodal Ambient Noise Dispersion Curves[J]. FRONTIERS IN EARTH SCIENCE,2022,10.
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APA |
Ma, Qingbo,Pan, Lei,Wang, Jian-nan,Yang, Zhentao,&Chen, Xiaofei.(2022).Crustal S-Wave Velocity Structure Beneath the Northwestern Bohemian Massif, Central Europe, Revealed by the Inversion of Multimodal Ambient Noise Dispersion Curves.FRONTIERS IN EARTH SCIENCE,10.
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MLA |
Ma, Qingbo,et al."Crustal S-Wave Velocity Structure Beneath the Northwestern Bohemian Massif, Central Europe, Revealed by the Inversion of Multimodal Ambient Noise Dispersion Curves".FRONTIERS IN EARTH SCIENCE 10(2022).
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