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Selecting an appropriate method to remove cyanide from the wastewater of Moteh gold mine using a mathematical approach

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Abstract

The presence of cyanide ions in wastewater is dangerous to the health and life of living creatures, especially humans. Cyanide concentration should not exceed the acceptable limit in wastewaters to avoid their adverse effects to the environment. In this paper, in order to select the most appropriate method to remove cyanide from the wastewater of the Moteh gold mine, based on the experts’ opinions, the use of calcium hypochlorite, sodium hypochlorite, and hydrogen peroxide was chosen as forerunning alternative in the form of a multi-stage model. Then, seven criteria including the amount of material consumed, ease of implementation, safety, ability to remove cyanide, pH, time, and cost of the process to assess the considered methods were determined. Afterwards, seven experts conducted numerous experiments to examine the conditions of each of these criteria. Then, by employing a mathematical method called “numerical taxonomy,” the use of sodium hypochlorite was suggested as the best method to remove cyanide from the wastewater of the Moteh gold mine. Finally, the TOPSIS model was used to validate the proposed model, which led to the same results of the suggested method. Also, the results of employing taxonomic analysis and TOPSIS method suggested the use of sodium hypochlorite as the best method for cyanide removal from wastewater. In addition, according to the analysis of various experiments, conditions for complete removal of cyanide using sodium hypochlorite included concentration (8.64 g/L), pH (12.3), and temperature (12 °C).

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References

  • Anojkumara L, Ilangkumarana M, Sasirekha V (2014) Comparative analysis of MCDM methods for pipe material selection in sugar industry. Expert Syst Appl 41(6):2964–2980

    Article  Google Scholar 

  • Anupam K, Lal PS, Bist V, Sharma AK, Swaroop V (2014) Raw material selection for pulping and papermaking using TOPSIS multiple criteria decision making design. Environ Prog Sustain Energy 33(3):1034–1041

    Article  CAS  Google Scholar 

  • Anupam K, Swaroop V, Sharma AK, Lal PS, Bist V (2015) Sustainable raw material selection for pulp and paper using SAW multiple criteria decision making design. IPPTA J 27(1):67–76

    Google Scholar 

  • Aragones-Beltran P, Mendoza-Roca JA, Bes-Pia A, Garcia-Melon M, Parra-Ruiz E (2009) Application of multi criteria decision analysis to jar-test results for chemicals selection in the physical–chemical treatment of textile wastewater. J Hazard Mater 164(1):288–295

    Article  CAS  Google Scholar 

  • Barter J, Lane G, Mitchell D, Kelson R, Dunne R, Trang C, Dreisinger D B (2001) Cyanide management by SART, In: Courtney Young, T.M.S. (Ed.), Cyanide: social, industrial and economic aspects. Minerals Metals Soc, Warrendale 549–562

  • Botz M M (2001) Overview of Cyanide Treatment Methods. Mining Environmental Management, Mining Journal Ltd., London, UK, May, 28-30

  • Dash RR, Gaur A, Balomajumder C (2009) Cyanide in industrial wastewaters and its removal: a review on biotreatment. J Hazard Mater 163(1):1–11

    Article  CAS  Google Scholar 

  • Devuyst EA, Ettel VA, Borbely GJ (1982) A new process for the treatment of wastewaters containing cyanide and related species. Trans Soc Min Eng AIME 27:1818–1822

    Google Scholar 

  • Eghbali AR (2007) The ranking Iran’s banks by taxonomy numerical analysis. J Int Res Publication 2:126–138

    Google Scholar 

  • Herlacher M F (2000) Automated ore treatment of electroplating waste at tinker AFB;HWHM88; Hazardous wastes and hazardous materials. proceedings of the National Conference Held April 19–21, Lass Vegas, 100–113

  • Hwang CL, Yoon K (1981) Multiple attribute decision making methods and applications. Springer, Berlin Heidelberg

    Book  Google Scholar 

  • Kaewkannetra P, Imai T, Garcia-Garcia F, Chiu T (2009) Cyanide removal from cassava mill wastewater using Azotobactorvinelandii TISTR 1094 with mixed microorganisms in activated sludge treatment system. J Hazard Mater 172(1):224–228

    Article  CAS  Google Scholar 

  • Kaushik P, Tyagi S, Thapliyal BP, Anupam K (2015) An approach for selection of coating color formulation using TOPSIS multi criteria decision making design. TAPPSA Journal 6:20–25

    Google Scholar 

  • Kostovic M, Gligoric Z (2014) Multi-criteria decision making for collector selection in the flotation of lead–zinc sulfide ore. Miner Eng 74:142–149

    Article  CAS  Google Scholar 

  • Kou G, Lu Y, Peng Y, Shi Y (2012) Evaluation of classification algorithms using MCDM and rank correlation. Int J Inf Technol Decis Mak 11(1):197–225

    Article  Google Scholar 

  • Kou G, Peng Y, Wang G (2014) Evaluation of clustering algorithms for financial risk analysis using MCDM methods. Inf Sci 27:1–12

    Article  Google Scholar 

  • Kumar G, Basu D, Hung Y, Wang L (2008) Waste treatment in the iron and steel manufacturing industry. Waste treatment in the metal manufacturing, forming, coating, and finishing industries:37–70

  • Kuyucak N, Akcil A (2013) Cyanide and removal options from effluents in gold mining and metallurgical processes. Miner Eng 50-51:13–29

  • Mohammadi A, Shohani J, Borzooei R (2011) Numerical taxonomy analysis with trapezoidal fuzzy data. J Math Comput Sci 2(1):100–110

    Article  Google Scholar 

  • Ritcey GM (2005) Tailings management in gold plants. Hydrometallurgy 78(1–2):3–20

    Article  CAS  Google Scholar 

  • Rowly WJ, Otto FD (1980) Ozonation of cyanide with emphasis on gold mill waste waters. Can J Chem Eng 58(5):646–653

    Article  Google Scholar 

  • Saarela K, Kuokkanen T (2004) Alternative disposal methods for wastewater containing cyanide: analytical methods for new electrolysis technology developed for total treatment of wastewater containing gold or silver cyanide. In: Pongracz, E. (Ed.), Proceedings of the Waste Minimization and Resource Use Optimization Conference, University of Oulu, Oulu Finland

  • Saaty TL, Ergu D (2015) When is a decision-making method trustworthy? Criteria for evaluating multi-criteria decision-making methods. Int J Inf Technol Decis Mak 14(6):1171–1187

    Article  Google Scholar 

  • Sadeghi-Ravesh A, Ahmadi H, ZehtabianGh R, Tahmouresd M (2013) Application of numerical taxonomy analysis in sustainable development planning of combating desertification. DESERT 17(2):147–159

    Google Scholar 

  • Safari M, Kholoo-Kakaei R, Ataei M, Karamoozian M (2010) Mineral processing plant location using the analytic hierarchy process—a case study: the Sangan iron ore mine (phase 1). Min Sci Technol 20(5):691–695

    Google Scholar 

  • Safari M, Kholoo-Kakaei R, Ataei M, Karamoozian M (2012) Using fuzzy TOPSIS method for mineral processing plant site selection. Arab J Geosci 5(5):1011–1019

    Article  Google Scholar 

  • Schmidt J W, Simovic J, Shannon E (1981) Natural degradation of cyanides in gold milling effluents. Presented at Seminar on Cyanide and the Gold Mining Industry, Ottawa, Environment Canada, January 22–23

  • Shammas N, Wang L (2009) Treatment and management of metal finishing industry wastes. Handbook of industrial and hazardous wastes treatment: CRC:343

  • Sinbuathong N, Kongseri B, Plungklang P, Khun-anake R (2000) Cyanide removal from laboratory wastewater using sodium hypochlorite and calcium hypochlorite. Kasetsart J (Nat Sci) 34(1):74–78

    CAS  Google Scholar 

  • Sneath P H E, Sokal R R (1973) Principles of numerical taxonomy. Freeman & Co, San Francisco

  • Soltanpanah H, Farughi H, Golabi M (2010) Utilization and comparison of multi attribute decision techniques to rank countries in terms of human development index. Int Res J Finance Economics 60:175–188

    Google Scholar 

  • Yari M, Monjezi M, Bagherpour R, Sayadi AR (2014) Blasting operation management using mathematical methods. Engineering Geology Soc Territory 1:483–493

    Google Scholar 

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Correspondence to Mohammad Hayati.

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Seyyed Alizadeh Ganji, S.M., Hayati, M. Selecting an appropriate method to remove cyanide from the wastewater of Moteh gold mine using a mathematical approach. Environ Sci Pollut Res 25, 23357–23369 (2018). https://doi.org/10.1007/s11356-018-2424-1

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