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 J. Irvine, Laura K. Lautz, Martin A. Briggs, Ryan P. Gordon, Jeffrey M. McKenzie

Research output: Contribution to journalArticle

44 Scopus citations

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 (US)
Pages (from-to)728-737
Number of pages10
JournalJournal of Hydrology
Volume531
DOIs
StatePublished - Dec 1 2015

Keywords

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

ASJC Scopus subject areas

  • Water Science and Technology

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