Probabilistic Prediction of Acid Mine Drainage Generation Risk Based on Pyrite Oxidation Process in Coal Washery Rejects - A Case Study

Hadadi, F.; Jodeiri Shokri, B.; Zare Naghadehi, M.; Doulati Ardejani, F.

doi:10.22044/jme.2020.9609.1873

Document Type : Original Research Paper

Authors

¹ Department of Mining Engineering, Hamedan University of Technology (HUT), Hamedan, Iran

² Department of Mining and Metallurgical Engineering, University of Nevada, Reno, USA

³ School of Mining, College of Engineering, University of Tehran, Tehran, Iran

https://doi.org/10.22044/jme.2020.9609.1873

Abstract

In this paper, we investigate a probabilistic approach in order to predict how acid mine drainage is generated within coal waste particles in NE Iran. For this, a database is built based on the previous studies that have investigated the pyrite oxidation process within the oldest abandoned pile during the last decade. According to the available data, the remaining pyrite fraction is considered as the output data, while the depth of the waste, concentration of bicarbonate, and oxygen fraction are the input parameters. Then the best probability distribution functions are determined on each one of the input parameters based on a Monte Carlo simulation. Also the best relationships between the input data and the output data are presented regarding the statistical regression analyses. Afterward, the best probability distribution functions of the input parameters are inserted into the linear statistical relationships to find the probability distribution function of the output data. The results obtained reveal that the values of the remaining pyrite fraction are between 0.764% and 1.811% at a probability level of 90%. Moreover, the sensitivity analysis carried out by applying the tornado diagram shows that the pile depth has, by far, the most critical factors affecting the pyrite remaining

Keywords

20.1001.1.22518592.2021.12.1.9.4

References

[1]. Bahrami, S. and Ardejani, F.D. (2017). ODM: an analytical solution-based tool for reacting oxygen diffusion modelling in mine spoils. Environmental Earth Sciences. 76 (2): 80.‏

[2]. Betrie, G.D., Tesfamariam, S., Morin, K.A. and Sadiq, R. (2013). Predicting copper concentrations in acid mine drainage: a comparative analysis of five machine learning techniques. Environmental monitoring and assessment. 185 (5): 4171-4182.

[3]. Cathles, L.M. and Apps, J.A. (1975). A model of the dump leaching process that incorporates oxygen balance, heat balance, and air convection. Metallurgical Transactions B. 6 (4): 617.

[4]. Davis, G.B. and Ritchie, A.I.M. (1986). A model of oxidation in pyritic mine wastes: part 1 equations and approximate solution. Applied mathematical modelling. 10 (5): 314-322.

[5]. Ardejani, F.D., Shokri, B.J., Moradzadeh, A., Soleimani, E. and Jafari, M.A. (2008). A combined mathematical geophysical model for prediction of pyrite oxidation and pollutant leaching associated with a coal washing waste dump. International Journal of Environmental Science & Technology. 5 (4): 517-526.

[6]. Elberling, B., Nicholson, R.V. and Scharer, J.M. (1994). A combined kinetic and diffusion model for pyrite oxidation in tailings: a change in controls with time. Journal of Hydrology. 157 (1-4): 47-60.

[7]. Fala, O., Aubertin, M., Molson, J.W., Bussière, B., Wilson, G.W., Chapuis, R. and Martin, V. (2003, July). Numerical modelling of unsaturated flow in uniform and heterogeneous waste rock piles. In Sixth International Conference on Acid Rock Drainage (ICARD), Australasian Institute of Mining and Metallurgy, Cairns, Australia, Publication Series (Vol. 3, pp. 895-902).

[8]. Jaynes, D.B., Rogowski, A.S. and Pionke, H. B. (1984). Acid mine drainage from reclaimed coal strip mines 1. Model description. Water Resources Research. 20 (2): 233-242.

[9]. Jaynes, D.B., Pionke, H.B. and Rogowski, A.S. (1984). Acid mine drainage from reclaimed coal strip mines 2. Simulation results of model. Water Resources Research. 20 (2): 243-250.‏

[10]. Jodeiri Shokri, B., Ramazi, H.R., Doulati Ardejani, F., Moradzadeh, A., Integrated time-lapse geoelectrical-geochemical investigation at a reactive coal washing waste pile in Northeastern Iran. Mine Water and the Environment, 2014 a, 33: 256-265.

[11]. Shokri, B.J., Ramazi, H., Ardejani, F.D. and Sadeghiamirshahidi, M. (2014). Prediction of pyrite oxidation in a coal washing waste pile applying artificial neural networks (ANNs) and adaptive neuro-fuzzy inference systems (ANFIS). Mine Water and the Environment. 33 (2): 146-156.‏

[12]. Shokri, B.J., Ramazi, H., Ardejani, F.D. and Moradzadeh, A. (2014). A statistical model to relate pyrite oxidation and oxygen transport within a coal waste pile: case study, Alborz Sharghi, northeast of Iran. Environmental earth sciences. 71 (11): 4693-4702.‏

[13]. Shokri, B.J., Ardejani, F.D., Ramazi, H. and Moradzadeh, A. (2016). Predicting pyrite oxidation and multi-component reactive transport processes from an abandoned coal waste pile by comparing 2D numerical modeling and 3D geo-electrical inversion. International Journal of Coal Geology, 164, 13-24.‏

[14]. Shokri, B.J., Ardejani, F.D. and Moradzadeh, A. (2016). Mapping the flow pathways and contaminants transportation around a coal washing plant using the VLF-EM, Geo-electrical and IP techniques—A case study, NE Iran. Environmental Earth Sciences, 75(1), 62.‏

[15]. Shokri, B.J., Ardejani, F.D. and Ramazi, H. (2016). Environmental geochemistry and acid mine drainage evaluation of an abandoned coal waste pile at the Alborz-Sharghi coal washing plant, NE Iran. Natural Resources Research, 25(3), 347-363.‏

[16]. Shokri, B.J. and Naghadehi, M.Z. (2018). A case study of the modification potential of using spiral separators in the circuit of the Alborz-Sharghi coal processing plant (Iran). International Journal of Oil, Gas and Coal Technology, 18(1-2), 85-105.‏

[17]. Khosravi, V., Doulati Ardejani, F. and Yousefi, S. (2017). Spectroscopic based quantitative mapping of contaminant elements in dumped soils of a copper Mine. Geopersia. 7 (1): 71-84.‏

[18]. Khosravi, V., Ardejani, F.D. and Yousefi, S. (2017). Spectroscopic-based assessment of the content and geochemical behaviour of arsenic in a highly heterogeneous sulphide-rich mine waste dump. Environmental Earth Sciences. 76 (13): 459.‏

[19]. Lefebvre, R. and Gélinas, P.J. (1995). Numerical modelling of AMD production in waste rock dumps. Proceedings Mining and the Environment 1995, 869-878.‏

[20]. Molson, J., Fala, O., Aubertin, M. and Bussière, B. (2008, September). Geochemical transport modelling of acid mine drainage within heterogeneous waste rock piles. In Proceedings of the 61st Canadian Geotechnical Conference and 9th Joint CSG/IAH-CNC Groundwater Specialty Conference, Edmonton, Alta (Vol. 2124, p. 15861593).‏

[21]. Shakeri, J., Shokri, B.J. and Dehghani, H. (2020). Prediction of Blast-Induced Ground Vibration Using Gene Expression Programming (GEP), Artificial Neural Networks (ANNs), and Linear Multivariate Regression (LMR). Archives of Mining Sciences, 317-355.‏

[22]. Kleiv, R.A. and Thornhill, M. (2008). Predicting the neutralisation of acid mine drainage in anoxic olivine drains. Minerals Engineering. 21 (4): 279-287.‏

[23]. Wunderly, M.D., Blowes, D.W., Frind, E.O. and Ptacek, C.J. (1996). Sulfide mineral oxidation and subsequent reactive transport of oxidation products in mine tailings impoundments: A numerical model. Water Resources Research. 32 (10): 3173-3187.‏

Journal of Mining and Environment

Probabilistic Prediction of Acid Mine Drainage Generation Risk Based on Pyrite Oxidation Process in Coal Washery Rejects - A Case Study

References

References

Volume 12, Issue 1
January 2021
Pages 127-137

Probabilistic Prediction of Acid Mine Drainage Generation Risk Based on Pyrite Oxidation Process in Coal Washery Rejects - A Case Study

References

References

Volume 12, Issue 1January 2021Pages 127-137

Volume 12, Issue 1
January 2021
Pages 127-137