Groundwater flow paths using combined self-potential, electrical resistivity, and induced polarization signals - Archive ouverte HAL
Article Dans Une Revue Geophysical Journal International Année : 2024

Groundwater flow paths using combined self-potential, electrical resistivity, and induced polarization signals

Résumé

The dam of Lampy (Black Mountain, Aude, France) is considered as one of the oldest dams in France. A geophysical surv e y is perfor med to better understand the patter n of g roundwater flo w do wnstream of this dam in the granitic substratum. Induced polarization is first used to image both electrical conductivity and normalized chargeability. Eight core samples of granite from this site are measured and analysed in the laboratory. Their electrical conductivity and normalized chargeability are expressed as a function of the porosity and cation exchange capacity (CEC). The field data and the petrophysical results are used to image the water content, the CEC and the permeability distribution of the substratum. Then, self-potential is used as a complementary passive geophysical technique, which, in absence of metallic bodies, is directly sensitive to groundwater flow through the so-called streaming potential effect. Indeed, the excess of electrical charges in the vicinity of the solid grains, in the so-called doub le lay er, is dragged by the ground water flow generating in turn an electrical (streaming) current and therefore an electrical field. A map of the resulting self-potential signals is done over the area covered by the induced polarization profiles. This map shows a large positive anomaly with an amplitude of ∼80 mV possibly associated with upwelling groundwater in an area where the soil is w ater-saturated. A groundw ater flow simulation is performed to model this anomaly. This is done in two steps. A preliminary groundwater flow model is built using the permeability and water content distributions obtained from the induced polarization data. Then, this groundwater flow model is updated using the information contained in the selfpotential data including the electrical conductivity distribution obtained through resistivity tomography. The algorithm for the inversion of the self-potential data is validated through a 2-D numerical test. This analysis yields a groundwater flow model with the flow being focused through a high permeability zone. This study shows how three geoelectrical methods (self-potential, induced polarization and electrical resistivity) can be ef ficientl y combined to image groundwater flow in the vicinity of a dam.
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hal-04729103 , version 1 (09-10-2024)

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André Revil, A Ghorbani, X Zhao, A Mouyeaux, L Barrère, et al.. Groundwater flow paths using combined self-potential, electrical resistivity, and induced polarization signals. Geophysical Journal International, 2024, 239, pp.798-820. ⟨10.1093/gji/ggae291⟩. ⟨hal-04729103⟩
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