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- W3089779501 abstract "The generation of acid mine drainage (AMD) occurs through oxidation of sulfide minerals exposed to air and water, a process exacerbated by mining and extraction activities. Although the assessment of AMD potential is often performed through static geochemical tests, mineralogical information produces complementary data to more thoroughly assess the risk of AMD formation. This chapter focuses on mineralogy and geochemistry as tools to generate input for the formulation of AMD prediction models, specifically addressing mineral acid formation and consumption potential, mineral abundance, mineral reactivity, and mineral liberation in process wastes. Mineral liberation is defined here as the amount of mineral surface exposed to make the mineral amenable to reaction with air, water, or acidic solutions. Adding a mineral liberation parameter builds on previous models for the prediction of AMD potential of wastes. These newly developed models were applied to gold and copper ore process residues and results compared with traditional static geochemical test results. Both, the effects of modal mineralogy and mineral liberation were further evaluated for two base metal sulfide (BMS) tailings compositions. To conclude, this predictive approach lends itself to improved process design and better-informed waste management strategies to mitigate detrimental effects of AMD, as part of a geometallurgical program, with possibilities to extend into prediction of AMD potential over time. In this respect, when applied to waste rocks, the predictive approach could be a desirable alternative to time-consuming and costly kinetic tests." @default.
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- W3089779501 date "2020-09-03" @default.
- W3089779501 modified "2023-10-18" @default.
- W3089779501 title "The Prediction of Acid Mine Drainage Potential Using Mineralogy" @default.
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- W3089779501 doi "https://doi.org/10.1002/9781119620204.ch3" @default.
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