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Long-Term Numerical Simulation of Methane Transport and Oxidation in Compost Biofilter

2009· article· en· W2056075495 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePractice Periodical of Hazardous Toxic and Radioactive Waste Management · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBiofilterCompostMethaneAnaerobic oxidation of methaneMethanotrophChemistryLandfill gasEnvironmental scienceDiffusionPorosityEnvironmental chemistryEnvironmental engineeringSoil scienceChemical engineeringWaste managementThermodynamicsEngineering

Abstract

fetched live from OpenAlex

A 30-cm-thick biofilter was constructed with compost, which was obtained from Leon County Landfill (Florida). The compost was sieved with 7-mm mesh sieve. The compost consisted of chipped yard waste that was windrowed for about 5years. Methane was then continuously supplied to the bottom of the biofilter, simultaneously the outflow of methane from the top and the extent of methane oxidation inside the biofilter were periodically measured. A one-dimensional dynamic numerical simulation model was then developed to simulate the methane transport and oxidation within a compost biofilter. This model was designed to incorporate dynamic parameters, such as gas permeability, diffusion coefficient, methanotrophic growth, and viscosity, as functions of water content and temperature. General agreement of methane outflux and oxidation was obtained between model simulations and experimental data. Additional simulations showed that outflux and oxidation had high correlations with temperature, whereas their relationship with water content depended on other factors, such as the influx boundary and the air-filled porosity.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score0.567

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 head0.010
GPT teacher head0.268
Teacher spread0.258 · 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