Sustainable ternary treatment system for greywater and potential reuse
Bibliographic record
Abstract
Abstract Adopting a greywater treatment system that provides economical, effective, and sustainable treated greywater over a longer span helps to address water scarcity. The present study focuses on treating greywater generated from hostels using a floating plant treatment system (FPTS) planted with water hyacinth. The additional units, a sand filter and an activated charcoal filter, were attached in series to FPTS to improve the treated greywater quality. The treatment system was operated for 90 days with daily monitoring of influent and effluent parameters. The treatment performance was evaluated based on the removal efficiency for total suspended solids (TSS), turbidity, chemical oxygen demand (COD), ammonia, sulphate, phosphate, and faecal coliform (FC) of 74.81% ± 5.74%, 99.76% ± 0.05%, 95.70% ± 4.10%, 99.16% ± 2.08%, 48.22% ± 1.80%, and 100%, 97.27% ± 1.48%, respectively. The study showed that the system effectively treats greywater, making it suitable for non‐potable purposes on educational institution's campuses.
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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) | 0.000 | 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) | 0.001 | 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".