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Record W4402651640 · doi:10.1051/e3sconf/202456904004

Case study on a contaminated soil landfill in Canada with a focus on geosynthetic materials and electrical leak location

2024· article· en· W4402651640 on OpenAlexaffabout
C. Charpentier, Stéphan Fourmont, Simon Allaire

Bibliographic record

VenueE3S Web of Conferences · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsAlpha Technologies (Canada)
Fundersnot available
KeywordsLeakContaminationGeotechnical engineeringFocus (optics)Environmental scienceWaste managementMining engineeringGeologyEngineeringEnvironmental engineering

Abstract

fetched live from OpenAlex

Designing a double-lined landfill for contaminated soils certainly presents several challenges. Many design aspects are taken into consideration to comply with local regulations, including thickness of the natural clay layer, minimal slopes for leachate drainage, side slopes for soil stability, global design to lower stress on the geosynthetics, and much more. We will focus on the choice of geosynthetics used for the construction of a cell on a contaminated soil landfill during the summer of 2023, as well as quality control and quality assurance, including electrical leak location. A multi-linear drainage geocomposite was selected to cover each layer of an HDPE geomembrane and a layer of natural sand was also installed. It was not practical to use sand on the secondary geomembrane in the slopes due to stability and damaging risks, therefore the drainage system solely relied on the drainage geocomposite. To carry on with the electrical leak location, a conductive mesh was added to the geocomposite installed in the slopes, allowing 100% of the installed geomembrane to be tested.

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 score0.378

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 head0.012
GPT teacher head0.219
Teacher spread0.207 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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