Properties of Noise Cross‐Correlation Functions Obtained from a Distributed Acoustic Sensing Array at Garner Valley, California

声学 相关性 地质学 噪音(视频) 互相关 地震学 物理 数学 计算机科学 几何学 统计 人工智能 图像(数学)
作者
Xiangfang Zeng,C. Lancelle,Clifford H Thurber,Dante Fratta,Herb Wang,N. E. Lord,Athena Chalari,A. Clarke
出处
期刊:Bulletin of the Seismological Society of America [Seismological Society of America]
卷期号:107 (2): 603-610 被引量:117
标识
DOI:10.1785/0120160168
摘要

A field test that was conducted at Garner Valley, California, on 11 and 12 September 2013 using distributed acoustic sensing (DAS) to sense ground vibrations provided a continuous overnight record of ambient noise. Furthermore, the energy of ambient noise was concentrated between 5 and 25 Hz, which falls into the typical traffic noise frequency band. A standard procedure (Bensen et al., 2007) was adopted to calculate noise cross-correlation functions (NCFs) for 1-min intervals. The 1-min-long NCFs were stacked using the time–frequency domain phase-weighted-stacking method, which significantly improves signal quality. The obtained NCFs were asymmetrical, which was a result of the nonuniform distributed noise sources. A precursor appeared on NCFs along one segment, which was traced to a strong localized noise source or a scatterer at a nearby road intersection. NCF for the radial component of two surface accelerometers along a DAS profile gave similar results to those from DAS channels. Here, we calculated the phase velocity dispersion from DAS NCFs using the multichannel analysis of surface waves technique, and the result agrees with active-source results. We then conclude that ambient noise sources and the high spatial sampling of DAS can provide the same subsurface information as traditional active-source methods.
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