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TitleField characterization and data integration to define the hydraulic heterogeneity of a shallow granular aquifer at a sub-watershed scale
AuthorParadis, D; Tremblay, L; Lefebvre, R; Gloaguen, E; Rivera, A; Parent, M; Ballard, J M; Michaud, Y; Brunet, P
SourceEnvironmental Earth Sciences vol. 72, issue 5, 2014 p. 1325-1348, https://doi.org/10.1007/s12665-014-3318-2
Year2014
Alt SeriesEarth Sciences Sector, Contribution Series 20130426
PublisherSpringer
Documentserial
Lang.English
Mediapaper; digital; on-line
File formatpdf; html
Subjectshydrogeology; geophysics; aquifer tests; groundwater flow; hydraulic analyses; integration; penetrometers; electrical resistivity; hydraulic conductivity; porosity; pollution; heavy metals contamination; hydrofacies; contaminant transport; relevance vector machine (RVM); direct-push hydrogeophysics
Illustrationsflow charts; flow diagrams; geological sketch maps; photographs; tables; histograms
ProgramAquifer Assessment & support to mapping, Groundwater Geoscience
AbstractProviding a sound basis for aquifer management or remediation requires that hydrogeological investigations carried out to understand groundwater flow and contaminant transport be based on representative data that capture the heterogeneous spatial distribution of aquifer hydraulic properties. This paper describes a general workflow allowing the characterization of the heterogeneity of the hydraulic properties of granular aquifers at an intermediate scale covering a few km2. The workflow involves characterization and data integration steps that were applied on a 12 km2 study area encompassing a decommissioned landfill emitting a leachate plume and its main surface water receptors. The sediments composing the aquifer were deposited in a littoral-sublittoral environment and show evidence of small-scale transitional heterogeneities. Cone penetrometer tests (CPT) combined with soil moisture and electrical resistivity (SMR) measurements were thus used to identify and characterize spatial heterogeneities in hydraulic properties over the study area. Site-specific statistical relationships were needed to infer hydrofacies units and to estimate hydraulic properties from high-resolution CPT/SMR soundings distributed all over the study area. A learning machine approach was used due to the complex statistical relationships between colocated hydraulic and CPT/SMR data covering the full range of aquifer materials. Application of this workflow allowed the identification of hydrofacies units and the estimation of horizontal hydraulic conductivity, vertical hydraulic conductivity and porosity over the study area. The paper describes and discusses data acquisition and integration methodologies that can be adapted to different field situations, while making the aquifer characterization process more time-efficient and less labour-intensive.
Summary(Plain Language Summary, not published)
Providing a sound basis for aquifer management or remediation requires that hydrogeological investigations carried out to understand groundwater flow and contaminant transport be based on representative data that capture the heterogeneous spatial distribution of aquifer hydraulic properties. This paper describes a general workflow allowing the characterization of the heterogeneity of the hydraulic properties of granular aquifers at an intermediate scale covering a few km2. Application of this workflow allowed the identification of hydrofacies units and the estimation of horizontal hydraulic conductivity, vertical hydraulic conductivity and porosity over the study area, making the aquifer characterization process more time-efficient and less labour-intensive.
GEOSCAN ID293555