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TitleStochastic hydrogeological modelling workflow in a glacial sedimentary basin, southern Ontario
DownloadDownload (whole publication)
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorBenoit, N; Marcotte, D; Molson, J W; Bajc, A F; Russell, H A JORCID logo
SourceSouthern Ontario groundwater project 2014-2019: summary report; by Russell, H A JORCID logo (ed.); Kjarsgaard, B AORCID logo (ed.); Geological Survey of Canada, Open File 8536, 2020 p. 217-229, Open Access logo Open Access
PublisherNatural Resources Canada
Documentopen file
Mediaon-line; digital
RelatedThis publication is contained in Southern Ontario groundwater project 2014-2019: summary report
File formatpdf
NTS30M/13; 30M/14; 31D/03; 31D/04; 31D/05; 31D/06; 31D/11; 31D/12; 40P/16; 41A/01; 41A/08; 41A/09
AreaSimcoe County; Innisfil Creek; Alliston; Barrie; Lake Simcoe; Nottawasaga Bay
Lat/Long WENS -80.2500 -79.1667 44.7500 43.7500
Subjectshydrogeology; surficial geology/geomorphology; regional geology; stratigraphy; mathematical and computational geology; Nature and Environment; Science and Technology; groundwater; groundwater resources; aquifers; groundwater flow; groundwater regimes; hydraulic analyses; hydraulic conductivity; hydraulic gradients; stratigraphic correlations; recharge rates; modelling; models; sedimentary basins; hydrostratigraphic units; boreholes; watersheds; computer simulations; geostatistics; permeability; grain size distribution; bedrock geology; lithology; sedimentary rocks; limestones; shales; sediments; glacial deposits; tills; moraines; sands; gravels; tunnel valleys; Innisfil Creek Watershed; Nottawasaga Watershed; Lindsay Formation; Blue Mountain Formation; Georgian Bay Formation; Queenston Formation; Don Formation; Scarborough Formation; Thorncliffe Formation; Newmarket Till; Oak Ridges Moraine; Methodology; glaciofluvial sediments; glaciolacustrine sediments; Phanerozoic; Cenozoic; Quaternary; Paleozoic; Ordovician
Illustrationsflow diagrams; 3-D models; location maps; cross-sections; models; plots; tables; profiles
ProgramGroundwater Geoscience Aquifer Assessment & support to mapping
Released2020 05 28
AbstractThe focus of this study is to explore and assess the uncertainty related to geological heterogeneity in regional groundwater flow models. A stochastic approach is adopted in which the hydrostratigraphic architecture and respective hydrofacies variability directly controls the three-dimensional hydraulic conductivity (K) field. The following procedural steps were applied to develop the stochastic flow model: 1) generation of multiple equivalent hydrostratigraphic models honouring observed hydrostratigraphic units and stratigraphic transitions; 2) determination of the statistical scalar K distribution for each hydrostratigraphic unit along with the respective spatial correlation at the local-scale; 3) upscaling of the scalar K field (quasi-point) to its full 3-D tensor at the regional scale (block); 4) determination of the K-tensor structures and simulation of the K-tensor for hydrogeological models; 5) calibration of the models by numerical inversion of the K-tensor and preserving their component correlations including the recharge rate; and 6) quantification of the uncertainties in the groundwater flow model. The capability and performance of the suggested workflow is illustrated using a case study in southern Ontario. Results highlight the efficiency of the method in assessing model uncertainties and their impact on regional groundwater flow models.
Summary(Plain Language Summary, not published)
Collection of papers on work completed in the past five years as part of the southern Ontario Groundwater Project. This edited volume is a collection of currently unreported work.

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