Characterization of Ammonia Removal from Municipal Wastewater Using Microwave Energy: Batch Experiment
Bibliographic record
Abstract
This study investigates the characteristics of ammonia removal from municipal wastewater using microwave radiation (MW). Synthetic and real wastewater samples were heated in batch reactors by MW radiation and ammonia removal efficiency was tested under variable conditions. The effects of initial ammonia concentration, pH, and radiation time on ammonia removal efficiency were investigated. Radiation time and pH showed significant influence on the removal of ammonia nitrogen with lower influence of the initial ammonia concentration. The highest ammonia removal efficiency achieved was 91.1 ±0.8% and 90.5 ±1.2% for synthetic and real wastewaters, respectively. The highest efficiency in both cases was achieved at a pH of 11 with 4 minutes of MW radiation. Comparing the results of this study with the work of others, it was found that ammonia removal efficiency from municipal wastewater that normally has low initial ammonia concentration is less than its removal efficiency from industrial wastewater that has initial ammonia concentrations in the range of 500-12000 mg NH3-N/L. It is concluded from this study that MW radiation is an effective method for the removal of ammonia nitrogen from municipal wastewater.
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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 | 0.000 |
| 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 | 0.000 | 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".