Biological Filtration of Stormwater: Field Operations and Maintenance Experiences
Bibliographic record
Abstract
Abstract Field-scale studies were conducted at the Kingston Stormwater Management Pond to evaluate the impacts of accumulated sediment on the performance of a submerged aerobic biological filter (biofilter) for the remediation of urban Stormwater runoff pollution. Substantial removal of suspended solids (97%) from the influent Stormwater resulted in a significant accumulation of sediment in the biofilter, which interfered with the system's main treatment objective, removing soluble nutrients through bacterial assimilation. The sediment was marginally to significantly polluted by Cd, Cr, Cu, Fe, Pb, Ni and Zn, according to provincial sediment quality guidelines. Removal efficiencies of total organic carbon and orthophosphate phosphorus decreased with time. Good removal efficiency for ammonium nitrogen (64%) was achieved independent of time or sediment accumulation. Backwashing was used to mitigate the effects of sediment accumulation in the filtration unit; however, the backwashing frequency used was not sufficient to maintain optimal biological filtration conditions.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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 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".