Experimental evaluation of the applicability of phase, amplitude, and combined methods to determine water flux and thermal diffusivity from temperature time series using VFLUX 2

Dylan Irvine, Laura Lautz, Martin Briggs, Ryan Gordon, Jeffrey McKenzie

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    87 Citations (Scopus)

    Abstract

    Vertical fluid exchange between surface water and groundwater can be estimated using diurnal signals from temperature time series methods based on amplitude ratios (Ar), phase shifts (δϕ), or combined use of both (Arδϕ). The Ar, δϕ, and Arδϕ methods are typically applied in conditions where one or more of their underlying assumptions are violated, and the reliability of the various methods in response to non-ideal conditions is unclear. Additionally, Arδϕ methods offer the ability to estimate thermal diffusivity (κe) without assuming any thermal parameters, although the value of such output has not been broadly tested. The Ar, δϕ, and Arδϕ methods are tested under non-steady, 1D flows in sand column experiments, and multi-dimensional flows in heterogeneous media in numerical modeling experiments. Results show that, in non-steady flow conditions, estimated κe values outside of a plausible range for streambed materials (0.028-0.180m2d-1) coincide with time periods with erroneous flux estimates. In heterogeneous media, sudden changes of κe with depth also coincide with erroneous flux estimates. When (known) fluxes are variable in time, poor identification of δϕ leads to poor flux estimates from δϕ and Arδϕ methods. However, when fluxes are steady, or near zero, Arδϕ methods provide the most accurate flux estimates. This comparison of Ar, δϕ and Arδϕ methods under non-ideal conditions provides guidance on their use. In this study, Arδϕ methods have been coded into a new version of VFLUX, allowing users easy access to recent advances in heat tracing.

    Original languageEnglish
    Pages (from-to)728-737
    Number of pages10
    JournalJournal of Hydrology
    Volume531
    Issue number3
    DOIs
    Publication statusPublished - Dec 2015

    Keywords

    • Dynamic harmonic regression
    • Groundwater-surface water interaction
    • Heat tracing
    • Hyporheic
    • Thermal diffusivity

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