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

Journal Article · · Bulletin of the Seismological Society of America
DOI:https://doi.org/10.1785/0120160168· OSTI ID:1379183
 [1];  [1];  [1];  [1];  [1];  [1];  [2];  [2]
  1. Univ. of Wisconsin, Madison, WI (United States)
  2. Silixa Ltd. Hertfordshire (United Kingdom)
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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.

Research Organization:
Univ. of Wisconsin, Madison, WI (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Office
Grant/Contract Number:
EE0006760; CMMI-0900663
OSTI ID:
1379183
Journal Information:
Bulletin of the Seismological Society of America, Vol. 107, Issue 2; ISSN 0037-1106
Publisher:
Seismological Society of AmericaCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 58 works
Citation information provided by
Web of Science

Cited By (8)

Automated Data Selection in the Tau–p Domain: Application to Passive Surface Wave Imaging journal April 2019
The Potential of DAS in Teleseismic Studies: Insights From the Goldstone Experiment journal February 2019
Seismic Velocity Estimation Using Passive Downhole Distributed Acoustic Sensing Records: Examples From the San Andreas Fault Observatory at Depth journal July 2019
Distributed Acoustic Sensing for Seismic Monitoring of The Near Surface: A Traffic-Noise Interferometry Case Study journal September 2017
Distributed Acoustic Sensing Using Dark Fiber for Near-Surface Characterization and Broadband Seismic Event Detection journal February 2019
Ground motion response to an ML 4.3 earthquake using co-located distributed acoustic sensing and seismometer arrays journal March 2018
Pushing the limit of earthquake detection with distributed acoustic sensing and template matching: a case study at the Brady geothermal field journal September 2018
Distributed acoustic sensing (DAS) field trials for near-surface geotechnical properties, earthquake seismology, and mine monitoring conference August 2018

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Related Subjects

58 GEOSCIENCES
Noise
Cross-correlation function
distributed acoustic sensing
DAS
phase velocity
near surface