Probabilistic risk assessment of acid mine drainage generation resulted from chalcopyrite oxidation process within Sarcheshmeh copper mine tailings
Paper
Paper/Presentation Title | Probabilistic risk assessment of acid mine drainage generation resulted from chalcopyrite oxidation process within Sarcheshmeh copper mine tailings |
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Presentation Type | Paper |
Authors | Entezam, Shima (Author), Shokri, Behshad Jodeiri (Author), Ardejani, Faramarz Doulati (Author), Mirzaghorbanali, Ali (Author), McDougall, Kevin (Author) and Aziz, Naj (Author) |
Editors | Aziz, Naj and Mirzaghorbanali, Ali |
Journal or Proceedings Title | Proceedings of the 2022 Resource Operators Conference |
Number of Pages | 7 |
Year | 2022 |
Place of Publication | Australia |
ISBN | 9781741283532 |
9781741283556 | |
Web Address (URL) of Paper | https://ro.uow.edu.au/coal2022/ |
Web Address (URL) of Conference Proceedings | https://ro.uow.edu.au/coal/850/ |
Conference/Event | 2022 Resource Operators Conference (ROC2022) |
Event Details | 2022 Resource Operators Conference (ROC2022) Event Date Feb 2022 Event Location Australia Event Venue University of Wollongong University of Southern Queensland |
Abstract | A probabilistic predictive method for estimating the risk of acid mine drainage generation within the copper tailings dump of the Sarcheshmeh copper mine, Iran, has been presented in this paper. For this purpose, the input and output parameters were determined after gathering historical data and building an appropriate database. Some of the critical parameters, including depth, and concentrations of bicarbonate, chloride, nitrate, and nitric, were considered input data, while the output parameters were chalcopyrite, pH. The best distribution functions on each input parameter were found by Chi Sq. criteria. Subsequently, the best linear statistical relationships between the input and output data were determined. Then, the best probability distribution functions of output parameters were defined by inserting the input parameters in the obtained linear statistical relationship. The results showed that the remaining chalcopyrite fraction values were between 0.1094% and 0.2159% at a 90% probability level. In contrast, the pH values would be expected between 3.13 and 8.04 at this probability level. |
Keywords | acid mine drainage; chalcopyrite oxidation; Sarcheshmeh copper mine |
ANZSRC Field of Research 2020 | 400502. Civil geotechnical engineering |
401902. Geomechanics and resources geotechnical engineering | |
401905. Mining engineering | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Civil Engineering and Surveying |
University of Tehran, Iran | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q72xw/probabilistic-risk-assessment-of-acid-mine-drainage-generation-resulted-from-chalcopyrite-oxidation-process-within-sarcheshmeh-copper-mine-tailings
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