Notice bibliographique
Résumé
1. Introduction The World Commission on Environment and Development (1987) headed by G.H. Brundtland defined sustainable development as one that meets the needs of the present without compromising the ability of future generations to meet their own needs. The United Nations 2005 World Summit Outcome Document identified three interdependent and mutually reinforcing pillars of sustainability as economic development, social development, and environmental protection. These pillars are influenced by various interrelated factors in almost every industrial activity related to products or services. The mining industry is witnessing an epoch-making revolution due to a growing demand for metals (copper, iron, aluminum, nickel, gold), minerals (clays, gemstones), and energy resources (oil, coal, uranium) all over the world and especially in the emerging economies of China, India, and Brazil. For example, the online data of World Bureau of Metal Statistics indicates that China is currently consuming approximately 25% of the entire world production of base metals. In addition to a general price hike in most of the afore-mentioned commodities, there is a gradual depletion in their available reserves in different parts of the globe. The industry is actively employing improved exploration, enhanced recovery, and novel recycling technologies to address the sustainability issues pertaining to economic development. Since the companies simultaneously work at mine sites in several countries, the mining industry is essentially global in nature. The employment growth in the industry has been phenomenal over the last five years or so. For example, the average annual employment growth in the Canadian mining sector (that includes surface mining of oil sand in Alberta and Saskatchewan) has stayed above 7% since the year 2001. According to the online data of the Organization for Economic Co-operation and Development, this is the highest among the G-8 and OECD countries. In the Canadian context in particular (and elsewhere in general), there is an acute shortage of skilled professionals in the industry. This is attributed to an aging workforce and a low previous enrolment in Mining, Materials, Environmental, and Geological engineering programs in the universities. These contributing factors, in turn, resulted from the skepticism among the public about the abandonment of mining communities after project completion. A renewed emphasis on the socio-economic well being of the local communities is fundamental for attracting and retaining skilled professionals. Whereas economic and social development is in the interest of the mining industry, the third pillar of sustainability, namely environmental protection, has to be imposed by the regulatory authorities. The main environmental issues associated with the industry include greenhouse gas emission, energy consumption, water use and recycling, metal leaching and acid rock drainage (ARD), and the geotechnical stability of large volumes of solid wastes. Interestingly, all of the environmental problems are variably affected by climate change that was brought about by industrialization, including the global mining industry, in the first place. Continued pressure from various stakeholders has resulted in stringent environmental criteria and obtaining public licensure for mining is increasingly becoming more costly. The main objective of this paper is to develop a clear understanding of sustainable development in the mining industry through innovation in waste disposal. First, the generation of waste rocks and slurry tailings in conventional mining operations is described. Next, the inherent challenges in the mining industry to effective waste management are highlighted. This is followed by a description of two most promising innovative waste disposal methods, namely: tailings thickening and co-mixing of tailings and waste rock. The economic, social, and environmental benefits of the two engineering methods are highlighted. …
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 | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,007 |
| Communication savante | 0,005 | 0,005 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,020 | 0,003 |
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 ».