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    On the Requirements for Inferring Aquifer-Scale T and S in Heterogeneous Confined Aquifers

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    Author
    Naderi, M.
    Gupta, H.V.
    Affiliation
    Department of Hydrology and Atmospheric Sciences, The University of Arizona
    Issue Date
    2023-05-02
    Keywords
    aquifer parameters
    confined aquifer
    geo-statistical parameters
    heterogeneity
    inverse modeling
    pumping test
    
    Metadata
    Show full item record
    Publisher
    John Wiley and Sons Inc
    Citation
    Naderi, M., & Gupta, H. V. (2023). On the requirements for inferring aquifer-scale T and S in heterogeneous confined aquifers. Water Resources Research, 59, e2023WR034430.https://doi.org/10.1029/2023WR0344300
    Journal
    Water Resources Research
    Rights
    © 2023. American Geophysical Union. All Rights Reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    We study the sensitivity of aquifer-scale estimates of transmissivity (T) and storativity (S) to the variance and correlation length scale of aquifer heterogeneity, when such estimates are obtained by the traditional approach of analyzing pumping test data. We consider both constant-rate and variable-rate pumping tests, and a variety of Theis-based solution methodologies (single- and multiple-observation well methods, and interpreted single value or transient values for T and S parameters) applied in pumping test data analysis. Our results indicate that achieving reliable inference of effective T and S requires that pumping be continued until the radius of the test-induced cone of depression exceeds a “representative length” that corresponds to ∼15 times than the correlation length scale of the aquifer heterogeneity. Independent of solution type, pumping history, correlation length scale, magnitude of the sill, and location of observation well, the estimates for T will converge toward the geometric mean. For S, the estimation uncertainty is relatively large for observation wells that are close to the pumping well, but diminishes for observation wells located beyond the representative distance, resulting in convergence to the arithmetic mean. Given that these results have practical implications for how pumping tests should be carried out, we present a simple “rule-of-thumb” for estimating the correlation length scale of the heterogeneity of an aquifer. © 2023. American Geophysical Union. All Rights Reserved.
    Note
    6 month embargo; first published 02 May 2023
    ISSN
    0043-1397
    DOI
    10.1029/2023WR034430
    Version
    Final Published Version
    ae974a485f413a2113503eed53cd6c53
    10.1029/2023WR034430
    Scopus Count
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    UA Faculty Publications

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