The roles of nitrogen dissimilation and assimilation in biological nitrogen removal treating low, mid, and high strength wastewater
Bibliographic record
Abstract
Nitrogen dissimilation (nitrification and denitrification) and assimilation (uptake by cell growth) under different operational conditions (chemical oxygen demand (COD) and dissolved oxygen (DO)) were evaluated in a sequencing batch reactor (SBR) system. Nitrogen dissimilation played an important role for nitrogen removal at low to mid CODs, while nitrogen assimilation became more significant with biomass concentration steadily increasing at high COD. Specific denitrification rate increased at low to mid COD (C:N < 15), but decreased at high COD (C:N > 20). Both COD and C:N ratio should be kept in proper ranges to obtain sufficient biomass concentration for nitrogen assimilation in treatment systems. With alkalinity being consumed in nitrification and produced in denitrification, effluent alkalinity indicated the corresponding nitrogen concentrations under different COD loadings. ΔAlk between influent and effluent was also well correlated with assimilation and dissimilation. The discrepancy between ΔAlkTheory and ΔAlkExperi was less than 15 mg/L when dissimilation played a predominant role in nitrogen removal, while the discrepancy increased to 30 mg/L when assimilation became dominant.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 | 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 teacher head, 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".