Data

Long-Term Acid Rock and Tailings Drainage Mitigation through Source Control dataset

University of South Australia
Dr Michael Short (Principal investigator) Dr Gujie Qian (Enriched by) Dr Rong Fan (Enriched by) Dr Shengjia Zeng (Enriched by) Prof Andrea Gerson (Enriched by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://researchoutputs.unisa.edu.au/11541.1/fbb1265c0ecf465fa468e4b0d32d13d7&rft.title=Long-Term Acid Rock and Tailings Drainage Mitigation through Source Control dataset&rft.identifier=http://research.unisa.edu.au/dataset/267387&rft.publisher=University of South Australia&rft.description=Dataset supporting the effective long-term management of acid rock drainage (ARD) from sulfidic mine wastes in current, exhausted and legacy mine sites. An optimised geochemical and microbial multi-barrier approach to long-term reduction of ARD to environmentally acceptable rates was developed.&rft.creator=Dr Michael Short&rft.date=2022&rft_subject=Management of Solid Waste from Mineral Resource Activities&rft_subject=MINERAL RESOURCES (EXCL. ENERGY RESOURCES)&rft_subject=ENVIRONMENTALLY SUSTAINABLE MINERAL RESOURCE ACTIVITIES&rft_subject=Environmental Chemistry (incl. Atmospheric Chemistry)&rft_subject=CHEMICAL SCIENCES&rft_subject=OTHER CHEMICAL SCIENCES&rft_subject=Mineral Processing/Beneficiation&rft_subject=ENGINEERING&rft_subject=RESOURCES ENGINEERING AND EXTRACTIVE METALLURGY&rft_subject=Environmental Management&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft_subject=acid mine drainage&rft_subject=biogeochemistry&rft_subject=sulfide mineral passivation&rft.type=dataset&rft.language=English Access the data

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Contact Information

Michael.Short@unisa.edu.au

Brief description

Dataset supporting the effective long-term management of acid rock drainage (ARD) from sulfidic mine wastes in current, exhausted and legacy mine sites. An optimised geochemical and microbial multi-barrier approach to long-term reduction of ARD to environmentally acceptable rates was developed.

Data time period: 24 01 2014 to 30 06 2017

This dataset is part of a larger collection

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