Aquifer Monitoring Using Ambient Seismic Noise Recorded With Distributed Acoustic Sensing (DAS) Deployed on Dark Fiber
| dc.citation.articleNumber | e2020JB021004 | |
| dc.citation.issueNumber | 4 | |
| dc.citation.journalTitle | Journal of Geophysical Research: Solid Earth | |
| dc.citation.volumeNumber | 126 | |
| dc.contributor.author | Tribaldos, Verónica Rodríguez | |
| dc.contributor.author | Ajo-Franklin, Jonathan B. | |
| dc.date.accessioned | 2021-06-07T20:22:23Z | |
| dc.date.available | 2021-06-07T20:22:23Z | |
| dc.date.issued | 2021 | |
| dc.description.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 fluctuations. We analyze 5 months of ambient noise acquired along an unused, 23 km-long telecommunication fiber-optic cable in the Sacramento Valley, CA, a so-called “dark fiber.' Three array subsections, ∼6 km apart, are processed and the stretching technique is applied to retrieve daily dv/v beneath each location. Near the Sacramento river, dv/v variations in the order of 2%–3% correlate with precipitation events and fluctuations in river stage of ∼1.5 m. In contrast, regions away (2.5 km) from the river do not experience large dv/v variations. These observations reveal short-scale spatial variability in aquifer dynamics captured by this approach. Dispersion analysis and surface wave inversion of noise gathers reveal that seismic velocity perturbations occur at depths of 10–30 m. Rock physics modeling confirms that observed dv/v are linked to pore pressure changes at these depths, caused by groundwater table fluctuations. Our results suggest that DAS combined with ambient noise interferometry provides a means of tracking aquifer dynamics at high spatial and temporal resolutions at local to regional scales, relevant for effective groundwater resource management. | |
| dc.identifier.citation | Tribaldos, Verónica Rodríguez and Ajo-Franklin, Jonathan B.. "Aquifer Monitoring Using Ambient Seismic Noise Recorded With Distributed Acoustic Sensing (DAS) Deployed on Dark Fiber." <i>Journal of Geophysical Research: Solid Earth,</i> 126, no. 4 (2021) Wiley: https://doi.org/10.1029/2020JB021004. | |
| dc.identifier.digital | 2020JB021004 | |
| dc.identifier.doi | https://doi.org/10.1029/2020JB021004 | |
| dc.identifier.uri | https://hdl.handle.net/1911/110668 | |
| dc.language.iso | eng | |
| dc.publisher | Wiley | |
| dc.rights | This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.title | Aquifer Monitoring Using Ambient Seismic Noise Recorded With Distributed Acoustic Sensing (DAS) Deployed on Dark Fiber | |
| dc.type | Journal article | |
| dc.type.dcmi | Text | |
| dc.type.publication | publisher version |
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