Study on the Correlation between Dissolved Organic Carbon, Specific Oxygen Uptake Rate, and Exchangeable Nitrogen and the Performance of Granular Materials as Support Media for Methanotrophic Biofiltration
Bibliographic record
Abstract
Anaerobic decomposition of organic materials in landfills is a key source of anthropogenic methane (CH4) emissions into the atmosphere. The use of methane biofilter (MB) technology for biological oxidation of CH4 into carbon dioxide (CO2) and water is an emerging area of interest for researchers and practicing engineers. Studies were undertaken to assess the influence of dissolved organic carbon (DOC), specific oxygen uptake rate (SOUR), and exchangeable nitrogen (Nex) on different materials used as filter media in MBs. The obtained results showed that these parameters are strongly correlated with the CH4 oxidation potential observed for different porous materials. Low DOC, SOUR, and Nex values [318 parts per million (ppm), 168 ppm, and 228 mg O2/kg volatile solids/h, respectively] were associated with the highest methanotrophic activity rate observed in this study (3.6596 μmol CH4/gVS/d).
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".