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Hydrogeophysical data integration at larger scales: Application of Bayesian sequential simulation for the characterization of heterogeneous alluvial aquifers.

Ruggeri, Paolo; Irving, James; Holliger, Klaus; Gloaguen, Erwan; Lefebvre, René (2013). Hydrogeophysical data integration at larger scales: Application of Bayesian sequential simulation for the characterization of heterogeneous alluvial aquifers. Leading Edge , vol. 32 , nº 7. p. 766-774. DOI: 10.1190/tle32070766.1.

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Résumé

Knowledge of the spatial distribution of hydraulic conductivity (K) within an aquifer is critical for reliable predictions of solute transport and the development of effective groundwater management and/or remediation strategies. While core analyses and hydraulic logging can provide highly detailed information, such information is inherently localized around boreholes that tend to be sparsely distributed throughout the aquifer volume. Conversely, larger-scale hydraulic experiments like pumping and tracer tests provide relatively low-resolution estimates of K in the investigated subsurface region. As a result, traditional hydrogeological measurement techniques contain a gap in terms of spatial resolution and coverage, and they are often alone inadequate for characterizing heterogeneous aquifers. Geophysical methods have the potential to bridge this gap. The recent increased interest in the application of geophysical methods to hydrogeological problems is clearly evidenced by the formation and rapid growth of the domain of hydrogeophysics over the past decade (e.g., Rubin and Hubbard, 2005).

Type de document:
Mots-clés libres: geophysical methods; groundwater management; heterogeneous aquifers; measurement techniques; remediation strategies; sequential simulation; spatial resolution; subsurface regions
Centre: Centre Eau Terre Environnement
Date de dépôt: 06 déc. 2016 21:45
Dernière modification: 06 déc. 2016 21:45
URI: http://espace.inrs.ca/id/eprint/3504

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