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2016-12-15 - Colloque/Présentation - poster - Anglais - 1 page(s)

Watlet Arnaud, Kaufmann Olivier , Van Camp Michel, Triantafyllou Antoine, Cisse Mohamed, Quinif Yves , Meldrum Philip, Wilkinson Paul, Chambers Jonathan, "Electrical Resistivity Tomography monitoring reveals groundwater storage in a karst vadose zone" in AGU Fall Meeting 2016, San Francisco, Etats-Unis, 2016

  • Codes CREF : Géologie (DI1411)
  • Unités de recherche UMONS : Géologie fondamentale et appliquée (F401)

Abstract(s) :

(Anglais) Karst systems are among the most difficult aquifers to characterize, due to their high heterogeneity. In particular, temporary groundwater storage that occurs in the unsaturated zone and the discharge to deeper layers are difficult processes to identify and estimate with in-situ measurements. Electrical Resistivity Tomography (ERT) monitoring is meant to track changes in the electrical properties of the subsurface and has proved to be applicable to evidence and quantify hydrological processes in several types of environments. Applied to karst systems, it has particularly highlighted the challenges in linking electrical resistivity changes to groundwater content with usual approaches of petrophysical relationships, given the high heterogeneity of the subsurface. However, taking up the challenge, we undertook an ERT monitoring at the Rochefort Cave Laboratory (Belgium) lasting from Spring 2014 to Winter 2016. This includes 3 main periods of several months with daily measurements, from which seasonal groundwater content changes in the first meters of the vadose zone were successfully imaged. The monitoring concentrates on a 48 electrodes profile that goes from a limestone plateau to the bottom of a sinkhole. 3D UAV photoscans of the surveyed sinkhole and of the main chamber of the nearby cave were performed. Combined with lithological observations from a borehole drilled next to the ERT profile, the 3D information made it possible to project karstified layers visible in the cave to the surface and assess their potential locations along the ERT profile. Overall, this helped determining more realistic local petrophysical properties in the surveyed area, and improving the ERT data inversion by adding structural constraints. Given a strong air temperature gradient in the sinkhole, we also developed a new approach of temperature correction of the raw ERT data. This goes through the solving (using pyGIMLI package) of the 2D ground temperature field and its temporal evolution, calibrated with data from in-situ temperature probes installed along the ERT profile. Results from a 3D ERT monitoring of a sprinkling experiment, those of a gravimetric monitoring and an in-cave flow discharges monitoring were also of interest to verify interpretations of the permanent ERT monitoring in terms of groundwater content changes.