| Title | Stochastic hydrogeological modelling workflow in a glacial sedimentary basin, southern Ontario |
| Download | Download (whole publication) |
| |
| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Benoit, N; Marcotte, D; Molson, J W; Bajc, A F; Russell, H A J |
| Source | Southern Ontario groundwater project 2014-2019: summary report; by Russell, H A J (ed.); Kjarsgaard, B A (ed.); Geological Survey of Canada, Open File 8536, 2020 p. 217-229, https://doi.org/10.4095/321107
 Open Access |
| Year | 2020 |
| Publisher | Natural Resources Canada |
| Document | open file |
| Lang. | English |
| Media | on-line; digital |
| Related | This publication is contained in Southern Ontario
groundwater project 2014-2019: summary report |
| File format | pdf |
| Province | Ontario |
| NTS | 30M/13; 30M/14; 31D/03; 31D/04; 31D/05; 31D/06; 31D/11; 31D/12; 40P/16; 41A/01; 41A/08; 41A/09 |
| Area | Simcoe County; Innisfil Creek; Alliston; Barrie; Lake Simcoe; Nottawasaga Bay |
| Lat/Long WENS | -80.2500 -79.1667 44.7500 43.7500 |
| Subjects | hydrogeology; 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 |
| Illustrations | flow diagrams; 3-D models; location maps; cross-sections; models; plots; tables; profiles |
| Program | Groundwater Geoscience Aquifer Assessment & support to mapping |
| Released | 2020 05 28 |
| Abstract | The 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. |
| GEOSCAN ID | 321107 |
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