Significant cost savings using a newly developed single‐process technology compared to conventional processes for treating high‐strength effluents
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.
Bibliographic record
Abstract
Abstract This study investigates the performance of a newly developed technology, known as simultaneous anaerobic oxidation/partial nitrification–denitrification (SAO/PND), for treating strong wastewater under laboratory conditions. Excellent results are achieved, with maximum chemical oxygen demand (COD) and nitrogen removal of 98% and 96%, respectively, when treating synthetic wastewater with influent 4120 mg/L COD and 210 mg/L NH 4 + –N. Appropriate living environment in this single‐process technology favoured the co‐existence of various bacterial communities, and removal mechanisms by these organisms are identified and confirmed. The results showed that the single‐process SAO/PND technology required 95% and 90% less oxygen compared to conventional aerobic processes and combined systems, respectively. Furthermore, this newly developed technology produced 60% and 44% less sludge, respectively, in comparison with the mentioned conventional systems. This study shows that the single‐process SAO/PND technology is a promising sustainable alternative to conventional systems, as it combines high efficiency and cost‐effectiveness with simple operation and maintenance requirements.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 it