Near-surface imaging and monitoring enabled by urban distributed acoustic sensing seismic arrays
Name
tle44080588.1.pdf
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10.48 MB
Format
Adobe PDF
Checksum (MD5)
a1b266630d2cfb712381aa418e7b1ed7
Date Issued
August 1, 2025
Journal
The Leading Edge
Publisher
Society of Exploration Geophysicists
Citation
Haipeng Li, Jingxiao Liu, Biondo L. Biondi; Near-surface imaging and monitoring enabled by urban distributed acoustic sensing seismic arrays. The Leading Edge 2025;; 44 (8): 588–597.
Version
Final published version
Abstract
Urban environments require high-resolution, continuous subsurface imaging and monitoring to address challenges in infrastructure resilience, groundwater management, and seismic hazard assessment. However, traditional seismic networks are often limited by sparse spatial coverage, high deployment costs, and logistical constraints in urban areas. Distributed acoustic sensing (DAS) has emerged as a promising sensing technology, repurposing preexisting telecommunication fiber networks into dense, large-scale seismic arrays. This study demonstrates the potential of urban DAS for near-surface characterization and time-lapse monitoring using data from the Stanford DAS-2 experiment. A targeted interferometry workflow extracts high-quality virtual source gathers from vehicle-induced signals, enabling daily time-lapse elastic full-waveform inversion. Ambient noise interferometry extends both the offset range and low-frequency content beyond what targeted interferometry can achieve, while the nonrepeatability of ambient noise suggests the need for careful data selection to ensure robust subsurface monitoring. Additionally, earthquake recordings provide constraints on urban fault structures through the analysis of scattered wavefields. As DAS seismic arrays continue to expand in urban settings, they are poised to play a critical role in high-resolution, continuous near-surface characterization and monitoring.
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DOI of Published Version
https://doi.org/10.1190/tle44080588.1