2021
DOI: 10.1029/2020jb021004
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Aquifer Monitoring Using Ambient Seismic Noise Recorded With Distributed Acoustic Sensing (DAS) Deployed on Dark Fiber

Abstract: Groundwater is a critical resource for human activities worldwide, and a vital component of many natural ecosystems. However, the state and dynamics of water‐bearing aquifers remain uncertain, mostly due to the paucity of subsurface data at high spatial and temporal resolution. Here, we show that analysis of infrastructure‐generated ambient seismic noise acquired on distributed acoustic sensing (DAS) arrays has potential as a tool to track variations in seismic velocities (dv/v) caused by groundwater level flu… Show more

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Cited by 58 publications
(42 citation statements)
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“…Under this framework, derived a relation between dv/v and the temperature perturbation at depth. The sensitivity of dv/v to changes in surface temperature is positive; the dilating effect of heating counter balances the confinement of rocks Lecocq et al, 2017;Rodríguez Tribaldos & Ajo-Franklin, 2021).…”
Section: Thermoelastic Dv/vmentioning
confidence: 99%
“…Under this framework, derived a relation between dv/v and the temperature perturbation at depth. The sensitivity of dv/v to changes in surface temperature is positive; the dilating effect of heating counter balances the confinement of rocks Lecocq et al, 2017;Rodríguez Tribaldos & Ajo-Franklin, 2021).…”
Section: Thermoelastic Dv/vmentioning
confidence: 99%
“…In an urban environment, ambient noise from traffic was used to measure shear‐wave velocities in the top 20 m as a function of time, finding that the estimates did not change significantly but that repeated measurements provided estimates of uncertainty (Dou et al., 2017). DAS observations using a dark fiber in the Sacramento Valley of California have estimated variations in δv / v that correlated with groundwater levels in an aquifer, suggesting a role for seismology in the dynamics of aquifers at unprecedented spatiotemporal resolutions (Rodríguez Tribaldos & Ajo‐Franklin, 2021).…”
Section: Science Enabled By Big Data Seismologymentioning
confidence: 99%
“…To achieve this objective while maintaining a satisfactory spatial resolution, the number of seismic sensors in the acquisition network must be very dense, for instance through the use of distributed acoustic sensors (DAS). In this case, spatially continuous seismic information is provided by superficially buried optical fibers, or those already existing for communication purposes in urban areas, which can be interrogated regularly (Rodríguez Tribaldos & Ajo-Franklin, 2021).…”
Section: Potential Applications For the Monitoring Of Various Hydrolo...mentioning
confidence: 99%