Riley, A.L. orcid.org/0000-0001-5086-6636, Pepper, S.E., Sexton, E.L. et al. (1 more author) (2018) Metal Removal from Synthetic Mine Tailing Leachates using Fixed-Bed Ion-Exchange Columns. In: Copper Cobalt Africa, incorporating the 9th Southern African Base Metals Conference. Copper Cobalt Africa - 9th Southern African Base Metals Conference, 10-12 Jul 2018, Livingstone, Zambia. Southern African Institute of Mining and Metallurgy
Abstract
The generation and disposal of solid wastes from the mining industry has the potential to cause significant, enduring environmental damage. Atmospheric weathering of waste stockpiles leads to the formation of metal-rich leachates, which have been shown to adversely affect ecological communities, and can act as barriers towards meeting legislative water quality targets. The removal of problematic metals from tailings prior to disposal may pose an opportunity to prevent this damage. This research presents results from dynamic column experiments aimed at assessing the performance of several commercial ion-exchange resins for metal removal from simulated tailing leachates. Artificial mixed-metal solutions were prepared to simulate the conditions expected following a sulphuric acid leach of mine tailings. Metal breakthrough from each column was modelled to gain an insight to the selectivity and capacity of each tested resin, allowing identification of the most-suitable resins to take forward to process optimisation and scale-up.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 SAIMM |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 16 May 2018 08:57 |
Last Modified: | 30 Jun 2020 11:23 |
Status: | Published |
Publisher: | Southern African Institute of Mining and Metallurgy |
Refereed: | Yes |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:130805 |
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Filename: AR_SAIMM2018.pdf
