Depth-dependent seismic sensing of groundwater recovery from the atmospheric-river storms of 2023
In early 2023, a series of intense atmospheric-river storms eased California's historic drought, yet the spatiotemporal extent of groundwater recovery remains poorly understood. We tracked two-decadal changes in groundwater in Greater Los Angeles using seismic ambient-field interferometry. The derived seismic hydrographs reveal distinct expressions of groundwater and surficial water droughts: Whereas surface and near-surface water storage nearly fully recovered in the epic wet season of 2023, only about 25% of the groundwater lost since 2006 was restored. On a decadal scale, we find substantial depletion in aquifers below 50-meter depth, with only limited storm-related recovery. Our analysis underscores the need to monitor deep aquifers for a more complete assessment of total water deficits, using high-resolution tools such as seismic sensing.
Authors
- Yujie Zheng (ORCID: https://orcid.org/0000-0001-9013-451X)
- William L. Ellsworth (ORCID: https://orcid.org/0000-0001-8378-4979)
- Shujuan Mao (ORCID: https://orcid.org/0000-0002-6488-1762)
- Gregory C. Beroza (ORCID: https://orcid.org/0000-0002-8667-1838)
Institutions
- The University of Texas at Dallas (US)
- Stanford Medicine (US)
- The University of Texas at Austin (US)
- University of North Texas at Dallas (US)
- Stanford University (US)
Publication Details
- Journal
- Science
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1126/science.adr6139
- Citations
- 19
- Primary Topic
- Seismic Waves and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 35.46