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Related Experiment Videos

Characterizing Stream-Aquifer Exchanges with Self-Potential Measurements.

Remi Valois1,2,3, Yohann Cousquer1,2, Myriam Schmutz1

  • 1EA4592-Bordeaux INP & Université Bordeaux Montaigne, ENSEGID, 1 Allée Fernand Daguin, 33607, Pessac, France.

Ground Water
|October 10, 2017
PubMed
Summary
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Electrical self-potential (SP) surveys, coupled with groundwater flow models, can now characterize stream-aquifer interactions. This method reveals distinct SP profiles for gaining and losing streams, offering quantitative hydrodynamic and geophysical data.

Area of Science:

  • Hydrology and Hydrogeophysics
  • Environmental Science

Background:

  • Characterizing stream-aquifer interactions is crucial but challenging in hydrology.
  • Electrical self-potential (SP) is sensitive to groundwater flow via the electrokinetic effect, proportional to Darcy velocity.
  • SP surveys are widely used for seepage flow characterization, but coupling with groundwater flow models for stream-aquifer studies is novel.

Purpose of the Study:

  • To develop and validate a coupled numerical model for electrical self-potential (SP) and groundwater flow.
  • To investigate the distinct SP signatures of gaining versus losing stream conditions.
  • To assess the quantitative potential of SP inverse modeling for stream-aquifer exchange characterization.

Main Methods:

  • Implementation of a two-dimensional coupled SP and groundwater flow model.

Related Experiment Videos

  • Validation using a synthetic stream-aquifer cross-section.
  • Field application and inverse modeling of SP data from a stream transect in losing conditions.

    • Main Results:

    • The coupled model successfully reproduced observed SP profiles in a field study of a losing stream.
    • Distinct SP profiles were identified for gaining and losing stream conditions.
    • Inverse modeling provided quantitative estimates of hydrodynamic (hydraulic conductivity, heads) and geophysical (coupling coefficient) parameters, though unique estimation requires prior information.

    Conclusions:

    • The coupled SP and groundwater flow model demonstrates significant potential for characterizing stream-aquifer exchanges.
    • The methodology provides quantitative insights into hydrodynamic and geophysical parameters governing these interactions.
    • Recommendations for high-quality data collection and suitable application contexts are provided.