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Record W819651205

Modelling groundwater flow and contaminant transport at a gold mine site in Northern Ontario

2015· dissertation· en· W819651205 on OpenAlex
Adam Dettweiler

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2015
Typedissertation
Languageen
FieldEnvironmental Science
TopicMine drainage and remediation techniques
Canadian institutionsnot available
Fundersnot available
KeywordsGroundwaterGroundwater flowEnvironmental scienceMining engineeringHydrology (agriculture)GeographyWater resource managementGeologyAquiferGeotechnical engineering
DOInot available

Abstract

fetched live from OpenAlex

The practices of mining and ore processing are used in many countries around the world to
\nextract and concentrate the valuable natural resources found within the rock bodies which
\nmake up the earth?s crust. However, the solid waste disposal facilities which are used to store
\nthe large volumes of waste rock and mine tailings that are produced during these processes can
\npose a risk to the quality of down-gradient waters due to the slow leaching of various dissolved
\nelements and compounds. Groundwater flow and contaminant transport modelling is an
\neffective way of understanding and investigating a site where dissolved contaminants have
\nbeen detected in the groundwater.
\nThe Northern Ontario gold mine site, which is the focus of this study, first began ore processing
\nin 1997. Since then, the groundwater and surface water bodies surrounding the site have been
\ncontinually monitored to detect any changes in water quality. Groundwater samples collected
\nadjacent to the mine?s tailings management area (TMA) have consistently detected dissolved
\ncobalt and iron at concentrations above the site?s self-appointed trigger level standards. In
\n2009 seven pumping wells, were installed in the contaminated area to restrict further spread of
\nthe plumes by capturing the contaminated groundwater and recycling it back into the TMA.
\nA numerical groundwater flow (MODFLOW-2005) and contaminant transport (MT3DMS) model
\nhas been created which accurately simulates the flow of groundwater through the site both
\nbefore and after the pumping well system was installed. The validated model was then used to
\nsimulate the fate and transport of dissolved cobalt through the subsurface of the site, and to
\nperform a sensitivity analysis on the input parameters. The magnitude of the dispersion parameters and amount of sorption in the northern portion of the sand aquifer were
\ndetermined to have the greatest effect on the evolution of the cobalt plume.
\nAn assessment of the pumping well system was performed which indicates the ability of the
\npumping wells to capture the dissolved cobalt plume within five years of activation. The ability
\nof the pumping wells to continue to restrain the advancement of the cobalt plume was also
\nconfirmed for a 15 year simulation period. Additional alternatives such as an intermittent
\npumping schedule, a 50% reduction in pumping rates, and the decommissioning of four out of
\nthe seven pumping wells were also confirmed to successfully restrain the cobalt plume
\nadvancement for a 15 year simulation period. A preliminary investigation into the use of a
\npermeable reactive barrier (PRB) as an alternative to the pumping wells was also performed.
\nTwo possible PRB locations were proposed, however the large width of the plume indicates
\nthat a funnel and gate system should be investigated.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.975
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.017
GPT teacher head0.212
Teacher spread0.194 · 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