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Record W2032516184 · doi:10.1139/t01-097

Field study of geochemistry and solute fluxes in flooded uranium mine tailings

2002· article· en· W2032516184 on OpenAlexvenueaboutno aff
Vicky Peacey, Ernest K. Yanful, Roger Payne

Bibliographic record

VenueCanadian Geotechnical Journal · 2002
Typearticle
Languageen
FieldChemistry
TopicRadioactive element chemistry and processing
Canadian institutionsnot available
Fundersnot available
KeywordsTailingsRadiumPore water pressureWater qualityGeologyEnvironmental scienceUraniumEnvironmental chemistryHydrology (agriculture)ChemistryGeotechnical engineering

Abstract

fetched live from OpenAlex

A geochemical investigation was conducted at the Quirke cell 14 mine waste management area near Elliot Lake, Ontario, Canada, to assess the evolution of water quality of submerged preoxidized uranium mine tailings. Dissolved solids, sulphate, and radium fluxes towards the water cover were calculated using measured solute concentrations, water-cover volumes, and seepage rates for 1993 and 1999. Results indicate that flooding of preoxidized tailings can lead to the initial release of dissolved solids, acidity, and sulphate from the tailings to the overlying water cover. However, the overall impact of this release on the water cover can be minimal in the long term because of dilution from precipitation and fresh water inflows and flushing of the oxidation products down into the pore water. Profiles of dissolved metals and sulphate across the tailings–water interface at the study site indicated a high degree of chemical stability. Solute concentrations in the water cover were homogeneous and generally low at all stations. Pore-water profiles revealed minor remobilization of some trace metals and radionuclides in the shallow pore water (~0.15 m).Key words: mine tailings, water cover, pore-water geochemistry, radium, metal mobility, diffusion, flux.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.999

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.228
Teacher spread0.213 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations18
Published2002
Admission routes2
Has abstractyes

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