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Record W2022905514 · doi:10.1680/gein.14.00009

Performance of three GCLs used for covering gold mine tailings for 4 years under field and laboratory exposure conditions

2014· article· en· W2022905514 on OpenAlexafffundabout
Mohamed Hosney, R. Kerry Rowe

Bibliographic record

VenueGeosynthetics International · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGeosynthetic clay linerGeotextileBentoniteTailingsGeosyntheticsHydraulic conductivityGeotechnical engineeringCloggingMaterials scienceGeologyComposite materialSoil waterMetallurgyArchaeologySoil science

Abstract

fetched live from OpenAlex

ABSTRACT: The performance of geosynthetic clay liners (GCLs) above arsenic-rich gold mine tailings was investigated by the construction of a test cover comprised of three GCL products placed above the tailings at an abandoned gold mine in Nova Scotia, Canada. In parallel research, the performance of the three commercially available GCLs was assessed based on a series of laboratory column experiments. Of the three needle-punched GCLs tested, one has untreated Wyoming bentonite and a woven carrier geotextile; the second has a polymer-enhanced Wyoming bentonite and a scrim-reinforced nonwoven carrier geotextile, and the third has a polymer-enhanced Wyoming bentonite and woven carrier geotextile coated by a thin polypropylene geofilm. After 4 years of exposure in the field and laboratory, the bentonite structure of all exhumed GCLs appeared to be well hydrated with no visible cracks provided that the cover soil thickness was ≥ 0.7 m. The GCL with untreated bentonite exhibited the highest reduction in the exchangeable sodium percentage (ESP; decreased to 1–3% in field and 4–29% in laboratory) and swell index (decreased to 7–12 ml/2 g in both field and laboratory tests). Despite this reduction in the swelling capacity, the maximum measured hydraulic conductivity (k) for this GCL was 1 × 10 −10 m/s, which is still considered low. The GCLs with polymer-enhanced bentonite experienced less cation exchange (ESP = 10–27% in the field and 17–53% in the laboratory) than the GCL with untreated bentonite. The k values of the GCL with polymer-enhanced bentonite and non-coated carrier geotextile (3.6 × 10 −11 to 7.9 × 10 −11 m/s in the field and 1.6 × 10 −11 to 6.7 × 10 −11 m/s in the laboratory) were lower than those measured for the GCL with untreated bentonite. The lowest measured k values (3.6 × 10 −12 to 9.4 × 10 −12 m/s) were for the GCL with polymer-enhanced bentonite and geofilm coating the carrier geotextile. All three GCLs prevented the migration of arsenic to the overlying cover soil, even when the GCL was resting directly above the tailings without a foundation layer.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.291

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 head0.011
GPT teacher head0.237
Teacher spread0.226 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations26
Published2014
Admission routes3
Has abstractyes

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