Long-Term Numerical Simulation of Methane Transport and Oxidation in Compost Biofilter
Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".