Combining flux estimation techniques to improve characterization of groundwater-surface-water interaction in the Zenne River, Belgium

Juliette Dujardin, C Anibas, J Bronders, P Jamin, K Hamonts, Winnie Dejonghe, Serge Brouyère, Okke Batelaan

    Research output: Contribution to journalArticlepeer-review

    15 Citations (Scopus)

    Abstract

    The management of urban rivers which drain contaminated groundwater is suffering from high uncertainties regarding reliable quantification of groundwater fluxes. Independent techniques are combined for estimating these fluxes towards the Zenne River, Belgium. Measured hydraulic gradients, temperature gradients in conjunction with a 1D-heat and fluid transport model, direct flux measurement with the finite volume point dilution method (FVPDM), and a numerical groundwater flow model are applied, to estimate vertical and horizontal groundwater fluxes and groundwater–surface-water interaction. Hydraulic gradient analysis, the temperature-based method, and the groundwater flow model yielded average vertical fluxes of –61, –45 and –40 mm/d, respectively. The negative sign indicates upward flow to the river. Changes in exchange fluxes are sensitive to precipitation but the river remained gaining during the examined period. The FVPDM, compared to the groundwater flow model, results in two very high estimates of the horizontal Darcy fluxes (2,600 and 500 mm/d), depending on the depth of application. The obtained results allow an evaluation of the temporal and spatial variability of estimated fluxes, thereby helping to curtail possible consequences of pollution of the Zenne River as final receptor, and contribute to the setup of a suitable remediation plan for the contaminated study site.

    Original languageEnglish
    Pages (from-to)1657-1668
    Number of pages12
    JournalHydrogeology Journal
    Volume22
    Issue number7
    DOIs
    Publication statusPublished - 2014

    Keywords

    • Contamination
    • Groundwater management
    • Groundwater/surface-water relations
    • Multiple methodology
    • Risk management

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