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Record W2982205424 · doi:10.4095/297046

Three dimensional groundwater flow model of the Nanoose-Deep Bay area, Nanaimo Lowland, British Columbia

2015· report· en· W2982205424 on OpenAlexaffabout
Nicolas Benoît, Daniel Paradis

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEnvironmental Science
TopicGroundwater flow and contamination studies
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsBayGroundwater flowHydrology (agriculture)GeologyGroundwaterArchaeologyOceanographyGeographyAquiferGeotechnical engineering

Abstract

fetched live from OpenAlex

The Nanaimo Lowland Groundwater Study is a collaboration between the British Columbia (BC) Ministry of Environment (MoE), Ministry of Forests, Lands, and Natural Resource Operations (MFLNRO), the Regional District of Nanaimo (RDN), and the Geological Survey of Canada (GSC). This Open File reports on the three-dimensional (3D) groundwater flow model (3DGFM) for the Nanaimo Lowland aquifer system developed to support improved sustainable groundwater management of the Nanaimo Lowland. The study area represents a coastal strip running from Nanoose to Deep Bay in the eastern part of Vancouver Island and covers approximately 580 km2. The groundwater flow model was based on the 3D hydrostratigraphic model (3DHSM) developed by Benoit et al. (2015). The hydrostratigraphic units were converted into a numerical grid and representative hydraulic properties were assigned based to each unit on statistical analysis of available values. The groundwater resurgences present along the steep slopes of the main riverbanks and at the shoreline were simulated with seepage boundary conditions allowing for a vertical hydraulic link between the main Quadra Sand aquifer and surface water bodies. Hydraulic conductivity and groundwater recharge rate were further calibrated through numerical inversion using static hydraulic heads recorded in existing wells and estimated baseflow values from streamflow records. Simulation results that two distinct groundwater flow systems: (1) the Quadra aquifer system with groundwater divides closely matching watershed boundaries containing relatively fresh water; and (2) the extensive bedrock aquifer system with older water and a flow patterns generally directed toward the sea coast. Simulations also reveal discharge to rivers and streams mainly from the Quadra Sand aquifer and the Capilano sediments, often locally present along the main river channels, with low contribution from the bedrock. Exception is the Englishmen River where the Quadra Sand is inexistent and the river is in direct hydraulic contact with the bedrock aquifer. The Quadra Sand aquifer is naturally protected from sea intrusion due to the higher altitude with respect to sea level, whereas the bedrock aquifer appears vulnerable to encroachment especially under heavy pumping conditions close to the shoreline. This 3DGFM provides then a meaningful framework for the understanding of the regional hydrogeology of Nanoose-Deep Bay aquifer system that would contributes to support sustainable management of groundwater resources.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.218
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes2
Has abstractyes

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