Lab-scale Study of Water Turbidity Removal Using Aluminum Inorganic Polymer
Bibliographic record
Abstract
Today, coagulants used for water treatment in Iran are predominantly inorganic salts of iron and aluminum while in many countries like Canada, Italy, U.S., China, France and England, and newly in Iran, In Baba Sheikh Ali Water Treatment Plant in Isfahan, a new coagulant named Polyaluminum Chloride (PACl) is used as the alternative coagulant. The present investigation mainly aims to evaluate: (1) the use of Polyaluminum Chloride in place of Ferric Chloride and Alum used as coagulants, (2) the effect of temperature conditions, and (3) the effectiveness of using PACl doubled with starch as a coagulant aid, for turbidity removal of a simulated turbid water with Kaolin. The results showed the trend of floc settlement and higher settling velocity for PACl flocs as well. Coagulation efficiency of PACl proved not to be sensitive to temperature changes, while Ferric Chloride and Alum did. Starch showed to be an effective coagulant aid only at low doses of PACl.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".