2022
DOI: 10.1029/2021wr031390
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Development and Application of a 1D Compaction Model to Understand 65 Years of Subsidence in the San Joaquin Valley

Abstract: California's San Joaquin Valley (SJV) has experienced periods of land subsidence, triggered by the extraction of groundwater and subsequent compaction of subsurface clays, since the 1920s (Poland et al., 1975). The magnitude and extent of this subsidence have been vast: up to 9 m has been observed at some locations, while the footprint of subsiding regions exceeded 13,000 km 2 by the 1980s and has continued to grow since (Faunt et al., 2016;Ireland et al., 1984). The subsidence has been immensely damaging to l… Show more

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Cited by 22 publications
(22 citation statements)
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References 39 publications
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“…We calculated a scaling factor to extend our point-based estimate of subsidence to valley-wide subsidence from 2004 to 2020. We chose to exclude the first 20 years of our deformation model because the model was calibrated to data from 2014 to 2020, and the model spin-up period is likely less accurate due to the delayed response in fine-grained layers to changes in head within aquifers (i.e., Lees et al, 2022;R. Smith & Knight, 2019).…”
Section: Estimating Fine-grained Storage Change With Insar Datamentioning
confidence: 99%
“…We calculated a scaling factor to extend our point-based estimate of subsidence to valley-wide subsidence from 2004 to 2020. We chose to exclude the first 20 years of our deformation model because the model was calibrated to data from 2014 to 2020, and the model spin-up period is likely less accurate due to the delayed response in fine-grained layers to changes in head within aquifers (i.e., Lees et al, 2022;R. Smith & Knight, 2019).…”
Section: Estimating Fine-grained Storage Change With Insar Datamentioning
confidence: 99%
“…We wish to make it clear that we are not attempting to describe the large deformations that occur within the aquifers themselves, which involve significant grain rotation and re-arrangement (Meade, 1964). Models of such deformation are very complicated and need to account for inelastic and hysteritic behavior, and involve large finite strains, requiring an entirely different conceptual model (Helm, 1975;Sneed, 2001;Lees et al, 2022). At a sufficient distance from the source volume, e.g.…”
Section: Pressure Dependent Elastic Propertiesmentioning
confidence: 99%
“…(2021), and Lees et al. (2022). For analyzing the loading response in the Central Valley and adjacent mountain range (Argus et al., 2014, 2017) used Global Positioning System (GPS) data.…”
Section: Introductionmentioning
confidence: 97%