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Prediction of Minerals Producing Acid Mine Drainage Using a Computer-Assisted Thermodynamic Chemical Equilibrium Model

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Abstract

Methods such as optical microscopy, electron microscopy, and X-ray diffraction are sometimes used to identify minerals involved in the production of acid mine drainage (AMD). A simpler method to identify the minerals without losing accuracy would decrease costs. This paper presents an overview of the important oxidation reactions of sulphide minerals and related chemical components produced by these oxidation reactions. A methodology for predicting the minerals producing AMD using MINTEQ is also discussed. This method can be used in conjunction with analytical techniques to characterize AMD for a specific site. While it does not replace analytical tests, it can decrease the number and frequency of these expensive tests. The model has been validated with data from the Wolverine coal mine in northeastern BC, Canada.

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References

  • Akcil A, Koldas S (2006) Acid mine drainage (AMD): causes, treatment and case studies. J Clean Prod 14:1139–1145

    Article  Google Scholar 

  • Ball JW, Runkel RL, Nordstrom DK (1999) Transport modeling of reactive and non-reactive constituents from Summitville, Colorado: preliminary results from the application of the OTIS/OTEQ model to the Wightman Fork/Alamosa River System. US Geological Survey Water-Resources Investigation Report 99-4018A, pp 305–312

  • Costello C (2003) Acid mine drainage: innovative treatment technologies. National network of environmental management of environmental management studies fellow for USEPA, Washington. http://clu-in.net/download/studentpapers/costello_amd.pdf

  • Da Silva G, Lastra MR, Budden JR (2003) Electrochemical passivation of aphalerite during bacterial oxidation in the presence of galena. Miner Eng 16:199–203

    Article  Google Scholar 

  • Dold B (2005) Basic conceps of environmental geochemistry of sulphide mine-waste. Centre d’Analyse Minérale, Univ de Lausanne, Switzerland. http://www.unil.ch/webdav/site/cam/users/jlavanch/public/Le_personnel/Dold_Basicconcepts.pdf

  • Garrels RM, Christ CL (1965) Minerals, solutions and equilibria. Harper & Rowe, New York, p 450

    Google Scholar 

  • Kortenski J (1992) Carbonate minerals in Bulgarian coals with different degrees of coalification. J Coal Geol 20:225–242

    Article  Google Scholar 

  • Lonesiy T (2006) Mining waste and wetlands. Master thesis Lulea Univ of Technology, Sweden

    Google Scholar 

  • Matthews DL, Peter JM, Scott SD, Leybourne MI (2008) Distribution, mineralogy and geochemistry of selenium in felsic volcanic-hosted massive sulfide deposits of the Finlayson Lake District, Yukon territory, Canada. Econ Geol 103(1):61–88

    Article  Google Scholar 

  • Nieto JM, Sarmiento AM, Olias M, Canovas CR, Riba I, Kalman J, Angle DT (2007) Acid mine drainage pollution in the Tinto and Odiel rivers (Iberian pyrite belt, SW Spain) and bioavailability of the transported metals to the Huelva Estuary. Environ Int 33:445–455

    Article  Google Scholar 

  • Pollack SS (1979) Estimating mineral matter in coal from its major inorganic elements. Fuel 58:76–78

    Article  Google Scholar 

  • Ravengai S, Owen R, Love D (2004) Evaluation of seepage and acid generation potential from evaporation ponds, Iron Duke Pyrite Mine, Mazowe Valley, Zimbabwe. Phys Chem Earth 29:1129–1134

    Google Scholar 

  • Roine A (2002) Outokumpu HSC chemistry for windows, chemical reaction and equilibrium software with extensive thermochemical database, version 5.1. Outokumpu Research Oy, Pori

    Google Scholar 

  • Romano CG, Mayer KU, Jones DR, Ellerbroek DA, Blowes DW (2003) Effectiveness of various cover scenarios on the rate of sulphide oxidation of mine tailings. J Hydrol 271:171–187

    Article  Google Scholar 

  • Schroeter T, Cathro M, Lane R, Houle J, Terry D, Wojdak P, Ryan B, Simandl G (2001) British Columbia 2001 mineral exploration review. British Columbia Ministry of Energy and Mines Information Circular 2002–1, Victoria, p 22

    Google Scholar 

  • Sherriff BL, Sidenko NV, Salzsauler KA (2007) Differential settling and geochemical evolution of tailings’ surface water at the Central Manitoba Gold Mine. Appl Geochem 22:342–356

    Article  Google Scholar 

  • USEPA (1994) Acid mine drainage prediction. EPA technical document 530-R-94-036, Office of Solid Waste, Washington, p 47

  • Vassilev SV, Tascon JMD (2003) Methods for characterization of inorganic and mineral matter in coal: a critical overview. Energ Fuel 17:271–281

    Article  Google Scholar 

  • Yaman S, Yavuz R, Kucukbayrak S, Taptik Y (2001) Stepwise demineralization and chemical isolation of the mineral matter of Goynuk lignite. Energ Convers Manage 42:2119–2127

    Article  Google Scholar 

  • Yukon Zinc Corporation and AXYS Environmental Consulting Ltd. (2005) Wolverine project, Environmental Assessment Report, p 105

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Correspondence to Faisal Khan.

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Abbassi, R., Khan, F. & Hawboldt, K. Prediction of Minerals Producing Acid Mine Drainage Using a Computer-Assisted Thermodynamic Chemical Equilibrium Model. Mine Water Environ 28, 74–78 (2009). https://doi.org/10.1007/s10230-008-0062-4

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