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Record W2042598837 · doi:10.1139/l04-064

Effect of Pb and Cd on Cu adsorption by sand–bentonite liners

2005· article· en· W2042598837 on OpenAlexfundvenueno aff
Saleh Kaoser, Suzelle Barrington, Maria Elektorowicz, Li Wang

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBentoniteAdsorptionMetalGeosynthetic clay linerCadmiumSodium hydroxideCopperChemistryEffluentLeaching (pedology)Nuclear chemistryMineralogyMaterials scienceMetallurgyChemical engineeringEnvironmental engineeringGeologySoil water

Abstract

fetched live from OpenAlex

The mobility of Cu alone and in the presence of Cd (compatible) and Pb (incompatible) was studied using laboratory columns packed with a 95 wt.% sand and 5 wt.% bentonite mixture. The liner material was subjected to one of four heavy metal solutions using a pressure head of 7 kPa: 2.0 cmol (+) Cu/L solution; 1.0 cmol (+) Cu and 1.0 cmol (+) Cd/L solution for a total of 2.0 cmol (+) /L solution; and 1.0 cmol (+) Cu and 1.0 cmol (+) Pb/L solution for a total of 2.0 cmol (+) /L solution. The effluents and the liner samples were analyzed for Cu, Pb, and Cd. The breakthrough curves indicated that Cd was the most mobile of the metal cations, whereas Pb was the least. Total metal adsorption was greatest for Cu with Pb, followed by that of Cu with Cd, and then that of Cu alone, showing that Cu is compatible with Cd but not Pb. The selective sequential extraction analysis indicated that most of the Cu was precipitated by the carbonate and hydroxide fractions.Key words: Cd, Pb, Cu, sand–bentonite liners, adsorption, leaching.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.616
Threshold uncertainty score0.681

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)0.0010.000

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 head0.003
GPT teacher head0.182
Teacher spread0.179 · 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 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

Citations23
Published2005
Admission routes2
Has abstractyes

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