INTERPRETATION OF FIELD TESTS TO DETERMINE THE OXYGEN DIFFUSION AND REACTION RATE COEFFICIENTS OF TAILINGS AND SOIL COVERS
Bibliographic record
Abstract
Sulphidic tailings can react with water and oxygen and induce an acidic leachate. Covers with capillary barrier effects (CCBE) can be used to limit the flow of oxygen from the atmosphere to the reactive tailings and hence control the production of acid mine drainage (AMD). The effective diffusion coefficient De and the reaction (consumption) rate coefficient Kr are the controlling parameters for evaluating oxygen flux. In this paper, the authors present an experimental procedure to determine these parameters based on the temporal evolution of oxygen concentration during in situ testing. The actual values for De and Kr are simultaneously obtained by comparing the measured concentration profile in a close reservoir with the one obtained from a numerical treatment of modified Fick’s laws. Preliminary results obtained with the proposed method are presented; more field results are given in a companion paper (this conference). RESUME Les residus miniers sulfureux peuvent reagir avec l’eau et l'oxygene et produire un lixiviat acide. Des couvertures avec effets de barriere capillaire (CEBC) peuvent etre utilisees pour limiter le flux d'oxygene de l'atmosphere aux residus reactifs et ainsi controler la production du drainage minier acide (DMA). Le coefficient de diffusion effective De et le coefficient de taux de reaction (consommation) Kr sont les parametres cles pour evaluer le flux de l'oxygene. Dans cet article, les auteurs presentent un procede experimental pour determiner ces parametres a partir de l'evolution temporelle de la concentration d'oxygene pendant des essais in situ. Les valeurs De et Kr sont obtenues simultanement en comparant le profil de concentration mesure dans un reservoir ferme et celui donne par le traitement numerique des lois de Fick modifiees. Des resultats preliminaires obtenus avec la methode proposee sont presentes, plus de resultats experimentaux sont donnes dans un autre papier presente a la conference.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".