Traitement physico-chimique d'une eau souterraine fortement chargée en fer et en manganèse
Bibliographic record
Abstract
Conventional greensand treatment for the removal of iron and manganese from groundwater is not quite appropriate for waters with a high content of iron and manganese. In this pilot study, different modifications to this process were tested to improve treatment performances for water with a high concentration of iron and manganese: addition of a settling tank, use of sand and anthracite covered with manganese oxides, and aeration. Different oxidants and oxidation sequences were also tested. Results show that the presence of a high quantity of iron significantly improves removal of manganese. These results also confirm that manganese oxidation can be realized with free chlorine inside a filter bed other than greensand, provided that the excess of free chlorine is sufficient. Within the conditions studied, the target area for filtration performances can be attained for every treatment sequence tested and for a filtering aid dose ranging from 0.25 to 0.5 mg/L. Although groundwater aeration leads to better settling performances, it also accelerates head loss in the filtering bed when a filtering aid is present.Key words: groundwater, iron, manganese, pilot study, treatment, separation.
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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 | 0.000 | 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) | 0.012 | 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".