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首页> 外文期刊>Geophysics: Journal of the Society of Exploration Geophysicists >High-resolution 3D shallow crustal structure in Long Beach, California: Application of ambient noise tomography on a dense seismic array
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High-resolution 3D shallow crustal structure in Long Beach, California: Application of ambient noise tomography on a dense seismic array

机译:加利福尼亚州长滩的高分辨率3D浅层地壳结构:环境噪声层析成像在密集地震阵列中的应用

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摘要

Ambient noise tomography has proven to be effective in resolving shallow earth structure. We applied ambient noise tomography on a dense seismic array in Long Beach, California. The array was composed of more than 5200 stations with an average spacing close to 100 m. Three weeks of passive ambient noise were crosscorrelated between each station pair, which resulted in more than 13.5 million crosscorrelations within the area. Clear fundamental-mode Rayleigh waves were observed between 0.5 and 4 Hz, which were most sensitive to structure above 1-km depth. For each station pair, we applied frequency-time analysis to determine the phase traveltime dispersion, and, for each frequency, we applied eikonal tomography to determine the Rayleigh wave phase velocity map. The eikonal tomography accounted for ray bending by tracking the wavefront and allowed uncertainties to be estimated through statistical analysis. The compilation of phase velocity maps was then used to invert for 3D shear velocity structure. The inverted model showed clear correlation with the known geologic features such as the shallow south–north velocity dichotomy and a deeper fast anomaly associated with the Newport- Inglewood fault zone. Our results can potentially be used to complement traditional active source studies.
机译:事实证明,环境噪声断层扫描可以有效解决浅层地球结构。我们在加利福尼亚州长滩的密集地震阵列上应用了环境噪声层析成像。该阵列由5200多个站组成,平均间距接近100 m。每个站对之间三周的被动环境噪声相互关联,从而导致该区域内超过1,350万个相互关联。在0.5至4 Hz之间观察到清晰的基模瑞利波,这对1 km深度以上的结构最敏感。对于每个站对,我们应用频率-时间分析来确定相位传播时间离散度,并且对于每个频率,我们使用电子体层摄影术来确定瑞利波相速度图。常规层析成像通过跟踪波前来解释射线弯曲,并允许通过统计分析来估计不确定性。然后将相速度图的汇编用于3D剪切速度结构的反演。倒转的模型与已知的地质特征具有明显的相关性,例如浅南北速度二分法和与纽波特-英格伍德断裂带相关的更深的快速异常。我们的研究结果可用于补充传统的主动来源研究。

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