ARD/AMD potential of the waste management area : Goldcorp Inc., Red Lake Mine Division, Balmertown, Ontario : final report.
Notice bibliographique
Résumé
As part of the decommissioning plans of Goldcorp Inc., the potential of acid generation \nfrom the tailings was addressed with acid base accounting tests, The occurrence of acid \ngenerating minerals along with neutralizing minerals is extremely varied and the limited \nnumber of ABA tests lead to uncertain results. Boojum Research Ltd. was retained to \nassess the acid generation potential further. From a field investigation of the surface water on the tailings it was concluded, that within \none year of cessation of tailings discharge, the physical/chemical conditions ofthe ponded \nwater resembles those ofthe surrounding fresh water and supports considerable biological \nactivity. The pH in ponded water on the tailings ranged from 7.0 to 8.6 and in the \nsediments/tailings pH values as high as 9.1 were measured. The electrical conductivity \nwas low, with values ranging between 200 umhos/cm to 1000 umhoslcm. These surface \nwaters would facilitate ecological approaches to decommissioning. To determine a reliable estimate of the quantity of acid generating minerals in the tailings, \ndata were extracted from mineralogical and milling records in addition to chemical analysis \nreported for tailings. The data consistently produce an average of 1.5% S, 6.7% Fe and \n2.7% Al. Sequential extraction of the tailings for mineral association produced a weight loss \nof 42%, the remaining 68% of the tailings are totally inert. Of the digestible fraction, 29% \nconsisted of alkalinity generating minerals and 21% of potentially acid generating minerals, \nthus the neutralizing potential mass is equal to that of the acid generating mass. Through the extraction of weathering products which had formed in the tailings the \nongoing oxidation, leading to acid generation and the concurrent neutralization was \ndetermined. Tailings material collected from old (32 years) and new ( 10 years) tailings \nponds was leached with distilled water. The leach solutions were all above pH 7 and \nalkalinity between 50 to 210 mg.L-’ CaCO, equivalent. The tailings material clearly has \nremaining neutralization potential left. In the leachate from visually oxidizing tailings, 36% of S in the solids was mobilized with water, along with 14% Ca afler 10 years of exposure \nin the tailings pond. In the visually unoxidized sample exposed for the same time only \n2.3% of the S and 2.2% of the Ca could be liberated by distilled water. Acid generation and \nits concurrent neutralization appears to be localized in pockets of the tailings pond. The \nrate of acid generation and neutralization has not been determined. It can be concluded \nthat effluent problems normally associated with acid generating tailings will not be \nencountered for the Goldcorp Inc. tailings area. The concentrate stored on the tailings is \nacid generating. It is at present unclear, if some piezometer water quality is affected by this material.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,032 | 0,009 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».