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Title: A SUSTAINABLE TAILINGS REPROCESSING PROJECT: A CASE OF STUDY IN PORTUGAL
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A SUSTAINABLE TAILINGS REPROCESSING PROJECT: A CASE OF STUDY IN PORTUGAL
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1314-2704
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English
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18
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1.4
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Tailings embankments are part of the legacy left by the intensive mining industry. These vast impoundment storages are associated with some adverse environmental and social impacts creating insecurity to the stakeholders. Mining tailings may also be a source of minerals with high grades. Reprocessing techniques may be used as an alternative solution to recover some metals and to rehabilitate these sites.
A sustainable reprocessing project commits to integrated management of threefold dimension objective: economic goals, environmental constraints, and social development. This work provides the metrics corresponding to the valuation of the reprocessing project feasibility of an old tailings dam located in Portugal, named Cabe?o do Pi?o. Using a conceptual framework, the sustainability project was analyzed, and the fundamental elements (i.e., metal recovery, commodities prices, demographic indices, life cycle assessment) were allocated to achieve the threefold challenge. The definition of the used metrics, evidences significance in a decision-supported model for effective management of the project. The results of this study could contribute to ensuring the environmental security, promoting the welfare of the hosting communities and thus assisting the local economic development. |
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conference
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18th International Multidisciplinary Scientific GeoConference SGEM 2018
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18th International Multidisciplinary Scientific GeoConference SGEM 2018, 02-08 July, 2018
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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3-10
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02-08 July, 2018
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website
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cdrom
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370
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Sustainable management; tailings reprocessing; mining project; decision-support models
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