作者: Simon Gernez , Abderrezak Bouchedda , Erwan Gloaguen , Daniel Paradis
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摘要: Hydrogeophysics is increasingly used to understand groundwater flow and contaminant transport, essential basis for resources forecast, management remediation. It has proven its ability improve the characterization of hydraulic conductivity (\textit{K}) when along with hydrogeological knowledge. Geophysical tools methods provide high density information spatial distribution physical properties in ground at relatively low costs a non-destructive manner. Amongst them, Electrical Resistivity Tomography (ERT) been widely coverage strong theoretical links between electrical resistivity ($\rho$) key parameters such as \textit{K}. Historically, ERT data processing was based on isotropic hypothesis. However, unconsolidated aquifers Canada reveal most cases anisotropic behaviour \textit{K} both \textit{in situ} or laboratory measurements. Recently, anisotropy considered model-wise, but it seldom an interpretation tool process In order evaluate potential assess resistivity, we developed forward inverse modeling code. These codes have validated tested realistic synthetic case reproducing real aquifer extensively characterized, site Saint-Lambert-de-Lauzon Quebec (Canada). On this site, innovative tomography revealed anisotropy, up three orders magnitude horizontal vertical components. confirm link \textit{K}- $\rho$-anisotropies, survey performed, using same wells tomography. The inversion confirms $\rho$-anisotropies. demonstrates suitability approach coupled well measurements better estimates scale site.