Seismic imaging and monitoring of the near-surface structure are crucial for the sustainable development of urban areas. However, standard seismic surveys based on cabled or autonomous geophone arrays are expensive and hard to adapt to noisy metropolitan environments. Distributed acoustic sensing (DAS) with pre-existing telecom fiber optic cables, together with seismic ambient noise interferometry, have the potential to fulfill this gap. However, a detailed noise wavefield characterization is needed before retrievingcoherent waves from chaotic noise sources. We analyze local seismic ambient noise by tracking five-month changes in signal-to-noise ratio (SNR) of Rayleigh surface wave estimated from traffic noise recorded by DAS along the straight university campus busy road. We apply the seismic interferometry method to the 800 m long part of the Penn State Fiber-Optic For Environment Sensing (FORESEE) array. We evaluate the 160 virtual shot gathers (VSGs) by determining the SNR using the slant-stack technique. We observe strong SNR variations in time and space. We notice higher SNR for virtual source points close to road obstacles. The spatial noise distribution confirms that noise energy focuses mainly on bumps and utility holes. We also see the destructive impact of precipitation, pedestrian traffic, and traffic along main intersections on VSGs. A similar processing workflow can be applied to various straight roadside fiber optic arrays in metropolitan areas.
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Geometric Phase Sensing of Environmental Conditions Using Ambient Seismic Noise: An Application From Southwest Iceland
Abstract We leverage ambient seismic noise to implement a novel geometric phase sensing method for investigating the effects of environmental conditions on near‐surface ground properties. The geometric phase, derived from topological acoustics, characterizes the geometry of a wavefield by incorporating cross‐correlation information between seismic sensors. Changes in geometric phase, , are expressed as changes in vectorial orientation, describing the wavefield evolution over time. To demonstrate the method, we designed an end‐to‐end workflow by applying an open access temporal high‐resolution data from a seismic array in southwest Iceland and measured over a 2‐year period. We observe that the seasonal fluctuations of are highly correlated with surface air temperature, reflecting changes in ground properties during the freeze‐thaw cycle. We assess the seasonal stability of the noise source distribution and conduct a numerical test to verify that the seasonal pattern in is minimally affected by shifts in noise source direction. Several advantages of geometric phase measurements, including the elimination of lag window selection and reduced computational costs, suggest their strong effectiveness in monitoring changes in ground properties with time. We suggest that the geometric phase can play a significant role in the future of environmental monitoring.
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- Award ID(s):
- 2242925
- PAR ID:
- 10690107
- Publisher / Repository:
- Wiley-Blackwell
- Date Published:
- Journal Name:
- Earth and Space Science
- Volume:
- 12
- Issue:
- 10
- ISSN:
- 2333-5084
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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