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BTEX Migration through Various Geomembranes and Vapor Barriers

2016· article· en· W2401702026 on OpenAlexaff
D. D. Jones, R. Kerry Rowe

Bibliographic record

VenueJournal of Geotechnical and Geoenvironmental Engineering · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsGeomembraneHigh-density polyethylenePolyethyleneMaterials scienceLow-density polyethylenePolyvinyl chlorideBTEXLinear low-density polyethyleneEthylbenzeneTolueneComposite materialChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Four polyethylene based vapor barriers and six different geomembranes were examined for their diffusive properties with respect to benzene, toluene, ethylbenzene, and xylenes (BTEX). All four vapor barriers performed comparably. Of the geomembranes tested, high-density polyethylene (HDPE) showed the greatest diffusive resistance to BTEX, while polyvinyl chloride (PVC) showed the least, LLDPE (linear low-density polyethylene), CSPE (chlorosulphonated polyethylene) and two KEE/EIA (ketone ethylene ester/ethylene interpolymer alloy) geomembranes all performed similarly, bounded by HDPE and PVC. Based on data collected at 22, 30, and 40°C, Arrhenius relationships are presented for the six geomembranes. Each geomembrane was evaluated for performance as a diffusive barrier in a landfill cover scenario. Each vapor barrier and two geomembranes were evaluated, through contaminant transport modeling, for performance as a diffusive barrier to vapor intrusion into a warehouse and substantial potential differences in performance are reported.

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 score0.816
Threshold uncertainty score0.533

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 communication0.0000.001
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 head0.003
GPT teacher head0.174
Teacher spread0.170 · 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

Citations29
Published2016
Admission routes1
Has abstractyes

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