1887

Abstract

Summary

Localizing sources of contaminated groundwater discharging to streams may be a challenging task. A detailed geological model of the site is required for simulating the groundwater flow and the contaminant transport, in addition to chemical and hydrological investigations.

In the town of Grindsted, Denmark, contaminated groundwater discharges to a stream. Several contaminated sites are present in the area, where chemical waste from a nearby chemical factory was deposited. In order to understand the hydrological flow and transport of contaminants controlled by a few mostly continuous clay and lignite layers in an otherwise sandy environment, a detailed 3D geological model is constructed. The model integrates all available data including DCIP and EMI surveys, lithological logs from new and existing wells, hydraulic head and pore water electric conductivity data. This study addresses the challenges met while constructing the 3D geological model in an area, where inorganic contaminants are highly affecting the geophysical data.

The model ambiguities related to interpretation of clay layers versus contaminated sand layers in the DCIP resistivity sections as well as resistivity/chargeability-thickness equivalences are managed by integrated interpretation of a large amount of different geophysical, geological, hydraulic and chemical data.

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/content/papers/10.3997/2214-4609.201702006
2017-09-03
2024-04-20
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References

  1. Christiansen, A. et al.
    [2016] Improved Geoarchaeological Mapping with Electromagnetic Induction Instruments from Dedicated Processing and Inversion. Remote Sensing, 8(12), 1022.
    [Google Scholar]
  2. Dahlin, T. & Zhou, B.
    [2006] Multiple-gradient array measurements for multichannel 2D resistivity imaging. Near Surface Geophysics, 4(2), 113–123.
    [Google Scholar]
  3. Fiandaca, G. et al.
    [2013] Resolving spectral information from time domain induced polarization data through 2-D inversion. Geophysical Journal International, 192(2), 631–646.
    [Google Scholar]
  4. Gazoty, A. et al.
    [2012] Application of time domain induced polarization to the mapping of lithotypes in a landfill site. Hydrology and Earth System Sciences, 16(6), 1793–1804.
    [Google Scholar]
  5. Hansen, M. & Pjetursson, B.
    [2011] Free, online Danish shallow geological data. Geological Survey of Denmark and Greenland Bulletin, 23(1), 53–56.
    [Google Scholar]
  6. Heron, G. et al.
    [1998] Geology and sediment geochemistry of a landfill leachate contaminated aquifer (Grindsted, Denmark). Journal of Contaminant Hydrology, 29(4), 301–317.
    [Google Scholar]
  7. Loke, M.H. et al.
    [2013] Recent developments in the direct-current geoelectrical imaging method. Journal of Applied Geophysics, 95, 135–156.
    [Google Scholar]
  8. Nielsen, S. et al.
    [2014] Risikovurdering af overfladevand, som er påvirket af punktkildeforurenet grundvand, Environmental Protection Agency, Ministry of Environment, København K.
    [Google Scholar]
  9. Olsson, P.-I. et al.
    [2016] Doubling the spectrum of time-domain induced polarization by harmonic de-noising, drift correction, spike removal, tapered gating and data uncertainty estimation. Geophysical Journal International, 207(2), 774–784.
    [Google Scholar]
  10. Pellerin, L.
    [2002] Applications of Electrical and Electromagnetic Methods for Environmental and Geotechnical Investigations. Surveys in Geophysics, 23, 101–132.
    [Google Scholar]
  11. Rasmussen, E.S., Dybkjær, K. & Piasecki, S.
    [2010] Lithostratigraphy of the Upper Oligocene — Miocene succession of Denmark. Geological Survey of Denmark and Greenland Bulletin, 22, 1–92.
    [Google Scholar]
  12. Revil, A. et al.
    [2012] Review: Some low-frequency electrical methods for subsurface characterization and monitoring in hydrogeology. Hydrogeology Journal, 20(4), 617–658.
    [Google Scholar]
  13. Wycisk, P. et al.
    [2009] High-resolution 3D spatial modelling of complex geological structures for an environmental risk assessment of abundant mining and industrial megasites. Computers & Geosciences, 35(1), 165–182.
    [Google Scholar]
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