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Record W2108838432 · doi:10.1139/s08-021

Field-scale treatment of landfill gas with a passive methane oxidizing biofilter

2008· article· en· W2108838432 on OpenAlexafffundvenueabout
Andrew Philopoulos, Christian Felske, Daryl McCartney

Bibliographic record

VenueJournal of Environmental Engineering and Science · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsCanadian Natural ResourcesNatural Sciences and Engineering Research Council of CanadaUniversity of Alberta
FundersGovernment of CanadaFederation of Canadian Municipalities
KeywordsBiofilterOxidizing agentMethaneEnvironmental scienceWaste managementLandfill gasEnvironmental engineeringEnvironmental chemistryChemistryEcologyBiologyEngineering

Abstract

fetched live from OpenAlex

Municipal solid waste landfills are a major contributor to global methane emissions, a potent greenhouse gas. A treatment alternative was evaluated by installing three biogenic methane oxidizing biofilters into the landfill cover at the Leduc and District Regional Landfill (Alberta). Mature yard-waste compost was used as the biofilter medium. The results, collected over a period of 10 months, showed that two sites performed well as low surface emissions (<15 g CH 4 m –2 d –1 ) were observed on 6 of 8 monitoring events. These two sites also demonstrated sufficient temperature (>20 °C) and moisture (>0.25 L L –1 ) levels to support a high level of biogenic activity, the former despite cold winter temperatures (<0 °C). The third site showed low calculated methane influent flows (<5 g CH 4 m –2 d –1 ) and therefore observations of performance were limited.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score0.455

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 head0.007
GPT teacher head0.188
Teacher spread0.181 · 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 designBench or experimental
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

Citations18
Published2008
Admission routes4
Has abstractyes

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