Nutrient Removal Efficiency of a Fibrous Polypropylene Biofilm Reactor in Pilot Scale
Bibliographic record
Abstract
Dong Hai shopping district's discharge wastewater polluted the Dong Da stream.Therefore, The wastewater treatment plant was established to solve the problem, it decomposed the pollutant by biofilm that attaches to fibrous polypropylene(FB) in biological treatment process.Biofilm growth can directly affect the efficiency of wastewater treatment, but it was affected by the organic loading rate(OLR).This study referred to the wastewater treatment plant's biological process to set up the pilot scale.The purpose of setting up a pilot scale is to simulate the wastewater treatment plant's operation and observe biofilm's performance under different OLR.The average amount of COD removal in anaerobic reactor and aerobic was 129.2 mg/L and 310.6 mg/L when OLR was high, respectively, because the biomass was growing well.Biomass decreased when OLR was decreased, the average amount of COD removal in anaerobic reactor and aerobic was 15.2 mg/L and 13 mg/L, respectively.This indicated the removal efficiency of COD and the growth of biofilm were affected by OLR.Therefore, the relationship between the OLR and the growth of biofilm can be understood, and good wastewater treatment efficiency can be achieved.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".