This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
Aquifers are vital groundwater reservoirs for residential, agricultural, and industrial activities worldwide. Tracking their state with high temporal and spatial resolution is critical for water resource management at the regional scale yet is rarely achieved from a single dataset.
Here, we show that variations in groundwater levels can be mapped using perturbations in seismic velocity (dv/v). We recover daily measurements of dv/v in the San Gabriel Valley, California, from cross correlation of the ambient seismic field. dv/v reproduces the groundwater level changes that are marked by the multi-year depletions and rapid recharges typical of California’s cycles of droughts and floods. dv/v correlates spatially with vertical surface displacements and deformation measured with GPS. Our results successfully predict the volume of water lost in the San Gabriel Valley during the 2012-2016 drought and thus provide a new approach to monitor groundwater storage.
https://doi.org/10.31223/osf.io/x7u8q
Earth Sciences, Geophysics and Seismology, Hydrology, Physical Sciences and Mathematics
drought, groundwater, Ambient seismic noise, seismic velocity change
Published: 2018-02-27 22:23
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