Feasibility Studies and Pre-design Simulation Of Warsaw's New Wastewater Treatment Plant
Bibliographic record
Abstract
The proposed transfer of wastewater from the western part of Warsaw, across the Wisla (Vistula) River for joint treatment at the existing eastern side "Czajka" wastewater treatment plant (WWTP) will result in combined winter flows of approx. 580,000 m3 d(-1). One-year of pilot-scale studies defined the COD characteristics and kinetics of nitrogen removal and VFA production from primary sludge. BioWin simulation was used to size and price the optional processes and pointed to the Westbank process as the most cost-effective. The process consists of a sequence of a RAS pre-denitrification zone followed by an anaerobic, anoxic and aerobic zone. Some 100-150 t d(-1) of 10% methanol would be needed to remove 2-4 mg l(-1) of NO3-N above the recommended effluent level TN = 10 mg l(-1). Applying the principle of annual average 80% TN removal, and allowing for use of daily composite samples (rather than grab) could annually save the municipality over 1.5 million Euro on external carbon source.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".