Stabilisation de l’arsenic dans les remblais miniers en pâte cimentée
Bibliographic record
Abstract
Backfilling of underground mines is now widely used in hard rock mines. It provides numerous benefits regarding ore recover y (more complete and more flexible ore recover y) and the reduction of environmental impacts (storage of problematic tailings). Cemented paste backfill (CPB) is the main method used in modern mines among the various types of mine backfills, because it provides benefits when used with reactive sulphide mine tailings.These tailings contain frequently iron sulphides (pyrite and pyrrhotite), and can also contain sulphides associated with metals (e.g. copper, zinc, etc.) or metalloids (e.g. arsenic). In the present study, CPB made of As-bearing sulphide tailings, and CPB artificially spiked with As have been prepared, in order to assess the potential for As to be stabilized in these matrices. The chemico-mineralogical speciation of As and the geochemical behaviour of As in these CPB have been studied in details. Moreover, As sorption tests on hydrated cementitious phases as well as a characterization of the microstructure of CPB samples have been carried out to bring complementar y information and to conclude about the interest of As stabilization in CPB. Le remblayage de mines souterraines est devenu une pratique courante et intéressante pour ses nombreux avantages en termes d’exploitation des minerais (plus complète et plus souple) et de réduction des impacts environnementaux (enfouissement de rejets problématiques en surface). Parmi les différents types de remblais miniers, les remblais en pâte (RMPC) connaissent le plus de succès dans les mines modernes, sachant les nombreux avantages qu’ils confèrent en présence de rejets miniers sulfurés potentiellement réactifs. Ces derniers contiennent le plus souvent des sulfures de fer (pyrite et pyrrhotite) mais peuvent aussi contenir des sulfures associés à des métaux (ex. : cuivre, zinc, etc.) et des metalloïdes (ex. : arsenic). Dans cette étude, des RMPC à base de rejets miniers sulfurés arsénifères et des RMPC artificiellement dopés à l’As ont été confectionnés, afin d’évaluer le potentiel de stabilisation de l’As dans ces matrices cimentaires. La spéciation chimicominéralogique de l’As ainsi que son comportement géochimique dans ces matrices a été étudié en détail. Des essais d’adsorption de l’As sur des hydrates cimentaires et une caractérisation de la microstructure des RMPC ont été réalisés pour apporter des informations complémentaires et conclure quant au potentiel et à l’intérêt de sa stabilisation dans les remblais.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".