Estimating freshwater lens volume in highly permeable aquifers

Tajima, Satoshi, Liu, Jiaqi and Tokunaga, Tomochika, (2022). Estimating freshwater lens volume in highly permeable aquifers. Hydrological Research Letters, 16(1), 12-17

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  • Sub-type Journal article
    Author Tajima, Satoshi
    Liu, Jiaqi
    Tokunaga, Tomochika
    Title Estimating freshwater lens volume in highly permeable aquifers
    Appearing in Hydrological Research Letters   Check publisher's open access policy
    Volume 16
    Issue No. 1
    Publication Date 2022-02-10
    Place of Publication Tokyo
    Publisher Japan Society of Hydrology and Water Resources (JSHWR); Japanese Association of Groundwater Hydrology (JAGH); Japanese Association of Hydrological Sciences (JAHS); Japanese Society of Physical Hydrology (JSPH)
    Start page 12
    End page 17
    Language eng
    Abstract A unique freshwater lens shape observed in Tarama Island, Japan, in which hydraulic conductivity is on the order of 10−2 m s−1, has posed a question as to how well we can estimate the fresh groundwater volumes in extremely permeable aquifers. We applied both an analytical model and numerical simulations with various hydraulic conductivities, including extremely permeable conditions, and compared their results. The simulation showed that, when the hydraulic conductivity was extremely high, saline groundwater existed near the coast. The analytical model overestimated the freshwater volume compared with those estimated from the numerical simulations, and the discrepancy became more significant with increasing hydraulic conductivity. These findings imply that, when hydraulic conductivity is extremely high, numerical simulations considering density-dependent flow and dispersive mass transport processes should be applied to better assess the shapes and volumes of freshwater lenses.
    Keyword Hydraulic conductivity
    Analytical model
    Numerical simulation
    Copyright Holder The Authors
    Copyright Year 2022
    Copyright type Creative commons
    ISSN 1882-3416
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    Created: Mon, 25 Apr 2022, 14:04:45 JST by Hanna Takemoto on behalf of UNU IAS