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Mine Wastes: Past, Present, Future
Open accessAbstract
Mine wastes are unwanted, currently uneconomic, solid and liquid materials found at or near mine sites. Volumetrically they are one of the world's largest waste streams, and they often contain high concentrations of elements and compounds that can have severe effects on ecosystems and humans. Multidisciplinary research on mine wastes focuses on understanding their character, stability, impact, remediation and reuse. This research must continue if we are to understand and sustainably manage the immense quantities of historic, contemporary and future mine wastes, given the trend to exploit larger deposits of lower-grade ores.
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Citations
Cited by
Mining industry and sustainable development: time for change
Carvalho, F. P. (2017) · Food and Energy Security · doi:10.1002/fes3.109 · Cited by 494
Gasified grass and wood biochars facilitate plant establishment in acid mine soils
Phillips, C. L., Trippe, K. M., Whittaker, G., Griffith, S. M., Johnson, M. G., & Banowetz, G. M. (2016) · Journal of Environmental Quality · doi:10.2134/jeq2015.09.0470 · Cited by 19
Metadata
- Authors
- Hudson-Edwards, K. A., Jamieson, H. E., & Lottermoser, B. G.
- Venue
- Elements
- Publisher
- Mineralogical Society of America
- Published
- 2011-12-01
- Volume
- 7
- Issue
- 6
- Pages
- 375-380
- ISSN
- 1811-5209 (ISSN-L)
- 1811-5217
- OpenAlex
- W2133142767
- Cited by
- 369
- References
- 0
- FWCI
- 36.98
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Mine Wastes: Past, Present, Future. https://app.cochat.ai/papers/10.2113/gselements.7.6.375
- The paper
- Hudson-Edwards, K. A., Jamieson, H. E., & Lottermoser, B. G. (2011). Mine Wastes: Past, Present, Future. Elements. https://doi.org/10.2113/gselements.7.6.375
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
