Subsurface Water Flux in California's Central Valley and Its Source Watershed From Space Geodesy

Argus, Donald F.; Martens, H. R.; Borsa, A. A.; Knappe, E.; Wiese, D. N.; Alam, Sarfaraz; Anderson, Mackenzie; Khatiwada, Ashlesha; Lau, Nicholas; Peidou, Athina; Swarr, Matthew; White, Alissa; Bos, M. S.; Ellmer, Matthias; Landerer, F. W.; Gardner, W. Payton

doi:10.1029/2022gl099583

Cited by 18 publications

(18 citation statements)

References 66 publications

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“…The TWS inferred using the Green's function and SBF methods show good agreement with the GRACE/GFO and hydrologic models, but there are differences in the spatial and temporal patterns in some regions [26]. Other recent studies focused on obtaining more reliable TWS estimates through the joint inversion of the GNSS and GRACE/GFO in the CONUS [27][28][29] and China [26,[30][31][32]. Adusumilli et al [27] and Carlson et al [29] pointed out that the integration of GNSS and GRACE produces a higher spatiotemporal resolution than does GRACE alone.…”

Section: Introductionmentioning

confidence: 83%

“…According to the elastic deformation theory [5,28,56,57], the relationship between vertical displacements and TWS in the EWH reads:…”

Section: Gnss Inversion Methodsmentioning

confidence: 99%

“…The CO-NUS is divided into 18 watersheds by the United States Geological Survey (USGS), which are shown in Figure 2a and listed by 2-digit hydrological unit codes (HUC-2) [36] in Table 1. The CONUS is affected by complex terrain and climate change; its TWS variations differ significantly over regions, e.g., a severe drought from 2012 to 2015, heavy precipitation from 2016 to 2017 in California [28], and hurricane Harvey in August 2017, which induced heavy precipitation and water gain along the Gulf Coast [33]. We aim to improve the spatial distributions of TWS variations across the CONUS in this study.…”

Section: Study Areamentioning

confidence: 99%

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Water Storage Variations Recovered from Global Navigation Satellite System Network Using Spatial Constraints: A Case Study of the Contiguous United States

Yin,

Mu,

2023

Remote Sensing

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Global Navigation Satellite System (GNSS) vertical displacements are widely used to infer terrestrial water storage (TWS) variations. The traditional Laplacian inversion requires dedicated efforts to determine the optimal parameters, which has an important effect on the spatial patterns. In this study, we develop a new GNSS inversion method with flexible spatial constraints. One major merit is that the new method only requires loose boundary conditions rather than optimal parameters. A closed-loop simulation shows that the inversion using spatial constraints is improved by 7–21% compared with the Laplacian constraints. We apply this method to 18 watersheds across the Contiguous United States (CONUS) to infer daily TWS variations from January 2018 to August 2022. The results show that the amplitudes of monthly TWS time series from the spatial and Laplacian constraints are comparable to the Gravity Recovery and Climate Experiment (GRACE) Follow-On (GFO) in 16 watersheds. Furthermore, the standard deviation between the spatial constraints and GFO is at the same level as that between the Laplacian constraints and GFO. We also extract the daily TWS variations caused by heavy precipitation events in California. Our results demonstrate that spatial constraint inversion supplements the existing constraint strategies of GNSS inversion in hydrogeodesy; therefore, spatial constraint inversion can be an alternative tool for GNSS inversion.

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Section: Introductionmentioning

confidence: 83%

“…According to the elastic deformation theory [5,28,56,57], the relationship between vertical displacements and TWS in the EWH reads:…”

Section: Gnss Inversion Methodsmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

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Water Storage Variations Recovered from Global Navigation Satellite System Network Using Spatial Constraints: A Case Study of the Contiguous United States

Yin,

Mu,

2023

Remote Sensing

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“…Despite the enactment of the Sustainable Groundwater Management Act in 2014, − which aims to combat overdraft in the SJV, groundwater depletion is still occurring. Specifically, Argus et al (2022) concluded that the southern SJV lost 1.5 ± 0.4 km 3 yr –1 during 2006–2021 . Similarly, Liu et al (2022) observed a decrease in groundwater storage (2.55 ± 0.60 km 3 yr –1 ) in the southern SJV over the present drought (2019–2022) .…”

Section: Discussionmentioning

confidence: 98%

“…Specifically,Argus et al (2022) concluded that the southern SJV lost 1.5 ± 0.4 km 3 yr −1 during 2006−2021 70. Similarly, Liu et al (2022) observed a decrease in groundwater storage (2.55 ± 0.60 km 3 yr −1 ) in the southern SJV over the present drought (2019−2022) 71.…”

mentioning

confidence: 96%

Historic and Contemporary Surface Disposal of Produced Water Likely Inputs Arsenic and Selenium to Surficial Aquifers

Rossi

Tisherman

Jaeger

et al. 2023

Environ. Sci. Technol.

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Oil and gas development generates large amounts of wastewater (i.e., produced water), which in California has been partially disposed of in unlined percolation/evaporation ponds since the mid-20th century. Although produced water is known to contain multiple environmental contaminants (e.g., radium and trace metals), prior to 2015, detailed chemical characterizations of pondwaters were the exception rather than the norm. Using a state-run database, we synthesized samples (n = 1688) collected from produced water ponds within the southern San Joaquin Valley of California, one of the most productive agricultural regions in the world, to examine regional trends in pondwater arsenic and selenium concentrations. We filled crucial knowledge gaps resulting from historical pondwater monitoring by constructing random forest regression models using commonly measured analytes (boron, chloride, and total dissolved solids) and geospatial data (e.g., soil physiochemical data) to predict arsenic and selenium concentrations in historical samples. Our analysis suggests that both arsenic and selenium levels are elevated in pondwaters and thus this disposal practice may have contributed substantial amounts of arsenic and selenium to aquifers having beneficial uses. We further use our models to identify areas where additional monitoring infrastructure would better constrain the extent of legacy contamination and potential threats to groundwater quality.

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Analyzing the 3D Deformation Induced by Non-tidal Loading in GNSS Time Series in Finland

Ejigu,

Boy,

Raja-Halli

et al. 2024

International Association of Geodesy Symposia

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Improving our understanding of non-tidal loading (NTL) in geodetic time series, especially at regional and local scales, holds paramount importance. This deeper comprehension enables accurate modeling and effective removal of NTL effects from the time series, consequently enhancing the overall stability and reliability of geodetic observations. In this study, we compared the performance of different loading products and investigated their impact on the 20-year time series of four permanent GNSS stations within the Finnish permanent GNSS network (FinnRef). We employed original GNSS time series data products generated by four different analysing centers. We qualitatively compared NTL corrections involving ten different combinations of different hydrological, non-tidal atmospheric, and non-tidal oceanic loading models to see how various loading configurations operate and how they affect the noise characteristics of GNSS 3D time series, and ultimately to figure out which models are the most realistic in Finland. We observed weighted RMS reduction rates of up to 20% for the vertical coordinate and up to 10% for the horizontal coordinate. Additionally, we identified a maximum annual amplitude reduction rate of 87.2%. The results demonstrate a substantial improvement through the integration of hydrological loading products derived from GRACE satellites in our study conducted over Finland.

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Subsurface Water Flux in California's Central Valley and Its Source Watershed From Space Geodesy

Cited by 18 publications

References 66 publications

Water Storage Variations Recovered from Global Navigation Satellite System Network Using Spatial Constraints: A Case Study of the Contiguous United States

Water Storage Variations Recovered from Global Navigation Satellite System Network Using Spatial Constraints: A Case Study of the Contiguous United States

Historic and Contemporary Surface Disposal of Produced Water Likely Inputs Arsenic and Selenium to Surficial Aquifers

Analyzing the 3D Deformation Induced by Non-tidal Loading in GNSS Time Series in Finland

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