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Record W2324620255 · doi:10.1061/41165(397)116

Migration of PCBs through a Composite Liner System

2011· article· en· W2324620255 on OpenAlexaff
D. D. Jones, R.S. McWatters, R. Kerry Rowe, Jeff M. Markle

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsQueen's UniversityMinistry of the Environment, Conservation and Parks
Fundersnot available
KeywordsGeomembraneLeachateEnvironmental scienceContaminationHazardous wasteGeosynthetic clay linerWaste managementComposite numberGeotechnical engineeringEnvironmental chemistryEnvironmental engineeringMaterials scienceGeologyHydraulic conductivityChemistryComposite materialSoil scienceSoil waterEngineering

Abstract

fetched live from OpenAlex

In 2009, all Polychlorinated biphenyl (PCB) contaminated materials were excavated for permanent disposal from the Pottersburg PCB Storage Facility. The facility was comprised of four cells of PCB contaminated soil and waste constructed between 1984 and 1987. This exhumation presented a unique opportunity to evaluate the performance of the cells' barrier systems. The barrier systems of Cells 1 and 2 included a leachate collection system, leak detection system and compacted clay liner, whereas Cells 3 and 4 were comprised of a leachate collection system, leak detection system, geomembrane and compacted clay liner. Samples of the liner system were collected and depth profiles of PCB concentrations were determined through the leachate collection system, geomembrane (where present) and compacted clay liner for each of the four cells. These profiles provide insight into the contaminant migration pattern of PCBs over the 22 to 25 year storage period. This paper reports on the performance of the barrier system in Cell 3 in containing PCBs at the Pottersburg PCB Storage Facility. In addition, results from laboratory sorptive tests examining the migration of PCBs through the geomembrane samples taken from the base liner are presented. As well, the diffusion and sorptive properties of the excavated geomembranes with respect to BTEXs are presented. Pollute modeling software was used to established diffusion coefficients for BTEX with respect to geomembrane. These results were used to analyze the contaminant migration profile through the barrier system.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.276
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.026
GPT teacher head0.210
Teacher spread0.184 · 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 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

Citations4
Published2011
Admission routes1
Has abstractyes

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