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Record W2013254198 · doi:10.1139/s02-008

Biologically induced clogging of a granular medium permeated with synthetic leachate

2002· article· en· W2013254198 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Environmental Engineering and Science · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsLeachateCloggingHydraulic conductivityEnvironmental sciencePorous mediumPorosityPulp and paper industryWaste managementEnvironmental engineeringChemistryEnvironmental chemistryGeotechnical engineeringGeologySoil scienceEngineering

Abstract

fetched live from OpenAlex

The results of a laboratory column test conducted to gain insight regarding the clogging mechanisms within porous media are presented. Tests were conducted under saturated, anaerobic conditions using synthetic leachate that models Keele Valley Landfill (KVL) leachate in chemical compositions but has negligible suspended solids and bacterial concentrations compared with KVL leachate. Comparisons were made between tests conducted with synthetic leachate and similar column tests conducted with KVL leachate to assess the presence of suspended solids and bacterial loading on the rate of clogging. It is shown that the synthetic leachate columns behaved similarly to the KVL leachate columns in terms of nutrients removed from the leachate as it passed through the porous media and clog properties (bulk densities and chemical composition). Excessive microbially induced clogging near the influent end of the column (but likely near the collection pipe in a field situation) resulted in a decrease in drainable porosity to less than 10% of the initial value and a decrease in hydraulic conductivity by seven orders of magnitude. Key words: leachate collection, clogging, porous media, anaerobic, laboratory study.

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.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.786
Threshold uncertainty score0.467

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 studies0.0000.001
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 head0.009
GPT teacher head0.176
Teacher spread0.167 · 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