Evaluation of the impact of design and operation parameters on direct filtration
Bibliographic record
Abstract
This paper discusses the impacts of common design and operation parameters on direct filtration (DF) performance. These tests were carried out in a 45-m 3 /d pilot plant. The raw waters used were obtained by spiking a natural water with a kaolin suspension. The DF treatment comprises coagulation, flocculation, and filtration on a sand or anthracite bed. Seven parameters were studied over a wide range of design and operation conditions: effective size of the media (ES) 0.4 or 2.0 mm, depth of media (HMED) 50 or 300 cm, water head (WH) 50 or 300 cm, filtration rate (FR) 5 or 30 m/h, uniformity coefficient (UC) 1.3 or 1.5, raw water turbidity (TURB_RW) 1 or 5 nephelometric turbidity units (NTU), type of filtering media (MEDIA) sand or anthracite. The analysis of filter performance was based on the quantity and quality of filtered water produced and the cost of the filtration plant relative to each configuration. The results show that four of the parameters studied (ES, HMED, FR, and WH) have the most significant impacts on the filter performance and govern more than 77% of the performance criteria examined. This study also showed that the use of high-rate filtration increases the net productivity of the filters. However, to comply with filtered water quality requirements, the other three parameters should be set to appropriate values, since interactions among all four parameters are very high. The global cost analysis showed that a well designed and properly operated high-rate filtration process is more cost-effective than low-rate filtration. Key words: direct filtration, high-rate filters, cost analysis, statistical experimental design, Pareto chart.
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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 | 0.003 | 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".