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Record W2029610490 · doi:10.1139/t01-017

Determination of diffusion and adsorption coefficients for volatile organics in an organophilic clay - sand - bentonite liner

2001· article· en· W2029610490 on OpenAlexvenueaboutno aff
John V. Headley, Brigitte EJ Boldt-Leppin, M. D. Haug, Jimin Peng

Bibliographic record

VenueCanadian Geotechnical Journal · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicGroundwater flow and contamination studies
Canadian institutionsnot available
Fundersnot available
KeywordsTolueneBenzeneAdsorptionBentoniteChemistrySoil waterDiffusionEnvironmental chemistryNuclear chemistryOrganic chemistryGeotechnical engineeringGeologySoil science

Abstract

fetched live from OpenAlex

In the design of barriers for containment of petroleum products it is essential to know the conditions for contaminant transport. In this work, a batch test method was used to determine the adsorption coefficients (K d ) of benzene, toluene, and 2-fluorotoluene (a tracer for toluene) on three soils. For Ottawa sand using soil to water ratios of 0.10–0.30 g/mL, K d values were 2.5–1.2 mL/g (benzene), 11.3–3.6 mL/g (toluene), and 10.9–3.7 mL/g (2-fluorotoluene), respectively. Using organophilic clay at similar soil to water ratios, the K d values were 40.9–50.0 mL/g (benzene), 154–129 mL/g (toluene), and 157–114 mL/g (2-fluorotoluene), respectively. K d values for bentonite were 37.6–0.14 mL/g (benzene), 60.3–16.5 mL/g (toluene), and 51.2–33.6 mL/g (2-fluorotoluene) using soil to water ratios in the range 0.01–0.05. In general, for a given mixture, toluene was two to five times more adsorptive than benzene, indicating that hydrophobicity was an important factor in their adsorption. The diffusion coefficients in material comprised of 3% organophilic clay, 12% bentonite, and 85% Ottawa sand ranged from 0.48 × 10 –6 to 2.5 × 10 –6 cm 2 /s at 20°C. These values are lower than those measured for natural clay with low organic carbon content.Key words: diffusion, adsorption, volatile organics, organophilic clay, liner materials.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
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 head0.011
GPT teacher head0.231
Teacher spread0.219 · 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

Citations35
Published2001
Admission routes2
Has abstractyes

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