2022
DOI: 10.1029/2021wr031439
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Improved Imaging of the Large‐Scale Structure of a Groundwater System With Airborne Electromagnetic Data

Abstract: With climate change and population growth, there is increasing concern about the depletion of groundwater resources. Evidence of this is a petition signed by over 1,300 scientists from 100 countries calling for action to ensure that groundwater benefits society now and into the future (Gleeson et al., 2019). A groundwater model is the foundation on which to build sustainable groundwater management. Required to inform the development of the groundwater model is information about the subsurface that captures spa… Show more

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Cited by 17 publications
(12 citation statements)
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“…The was based on the geological cross-section A-A' (Figure 2a) of Lofgren and Klausing (1969) and was confirmed by a recent large-scale geophysical investigation (Kang et al, 2022). This division was not applied to the Western Valley Aquifer (WVA) wells close to the historical Tulare Lake.…”
Section: Hydrochemical and Isotopic Datamentioning
confidence: 71%
“…The was based on the geological cross-section A-A' (Figure 2a) of Lofgren and Klausing (1969) and was confirmed by a recent large-scale geophysical investigation (Kang et al, 2022). This division was not applied to the Western Valley Aquifer (WVA) wells close to the historical Tulare Lake.…”
Section: Hydrochemical and Isotopic Datamentioning
confidence: 71%
“…Therefore, it is more convenient to do perform the 1D inversion if the lateral rate of change of the subsurface resistivity is small. One of the challenges in TEM inversion is uniquely estimating model parameters, i.e., resistivity and thickness, simultaneously [1]. The inverse problem is always problematic unless care is taken in the inversion process.…”
Section: Data Acquisition Processing and Inversionmentioning
confidence: 99%
“…However, 1D models do not strictly match resistivity log values. This may be due to (1) the sensitivity difference between the two geophysical data sets and (2) the over/underestimation of the initial model. TEM is sensitive to the conductive target, whereas the resistivity log is sensitive to the resistive target.…”
Section: Comparison Of 1d Tem Models and Resistivity Logmentioning
confidence: 99%
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