A landfill based approach to surface mine design

Abstract

Surface mining operations extract a large quantity of waste material, which is generally disposed into a dump area. This waste can cause a series of environmental problems ranging from landscape deterioration to acidic water generation and water pollution. Therefore, mine waste management is a significant task in mining operations. As known, in strip mining, the overburden is not transported to waste dumps but disposed directly into adjacent strip which was mined out. This concept can be adapted for mine planning of relatively horizontal deposits through a mixed integer programming (MIP) model. The main idea behind this work is that, in one pit, production voids created in early year of mining are used for waste landfilling in late years of production. In other words, in addition to external dumping, a landfilling option within the same pit is proposed for mine design optimization. The problem is formulated as maximization of the net present value (NPV) of the mining project under the constraints of access, landfill waste handling, mining and processing capacities. A case study using a data set was carried out to see the performance of the proposed approach. The findings showed that this approach could be used in waste management incorporating a landfilling option into mine planning. As a result, material handling costs decrease, and environmental compliance increases due to less external waste quantity.

Keywords

mine waste management / landfill / mine design / mineral industries / mine optimization

References

[1] PrnoJ, SlocombeD S. A systems-based conceptual framework for assessing the determinants of a social license to operate in the mining industry [J]. Environmental Management, 2014, 53(3): 672-689

[2] WinterstetterA, LanerD, RechbergerH, FellnerJ. Framework for the evaluation of anthropogenic resources: A landfill mining case study–Resource or reserve? [J]. Resources, Conservation and Recycling, 2015, 96: 19-30

[3] ParameswaranKSustainable mining practices: A global perspective [M], 2005

[4] LiY, TopalE, WilliamsD. Waste rock dumping optimisation using mixed integer programming (MIP) [J]. International Journal of Mining, Reclamation and Environment, 2013, 27(6): 425-436

[5] LiY, TopalE, WilliamsD J. Optimisation of waste rock placement using mixed integer programming [J]. Mining Technology, 2014, 123(4): 220-229

[6] WilliamsD, StolbergD, CurreyN. Long-term performance of a “store/release” cover over potentially acid forming waste rock in a semi-arid climate [C]. International Conference on Unsaturated Soils. American Society of Civil Engineers, 2006756776

[7] HengenT J, SquillaceM K, O'sullivanA D, StoneJ J. Life cycle assessment analysis of active and passive acid mine drainage treatment technologies [J]. Resources, Conservation and Recycling, 2014, 86: 160-167

[8] ZuoH Y, LuoZ Q, GuanJ L, WangY W. Multidisciplinary design optimization on production scale of underground metal mine [J]. Journal of Central South University, 2013, 20: 1332-1340

[9] ThompsonR, VisserA. Mine haul road maintenance management systems [J]. Journal of the South African Institute of Mining and Metallurgy, 2003, 103(5): 303-312

[10] LiQ M, YuanH N, ZhongM H. Safety assessment of waste rock dump built on existing tailings ponds [J]. Journal of Central South University, 2015, 22: 2707-2718

[11] SariY, KumralM. An improved meta-heuristic approach to extraction sequencing and block routing [J]. Journal of the Southern African Institute of Mining and Metallurgy, 2016, 116(7): 673-680

[12] KumralM, SariY A. Simulation-based mine extraction sequencing with chance constrained risk tolerance [J]. Simulation, 2017, 93(6): 527-539

[13] BohnetE L, KunzeL. Waste disposal-planning and environmental protection aspects [M]. Surface Mining, 1990, Littleton, Society for Mining, Metallurgy and Exploration Inc

[14] DeshpandeV, ShekdarA. Sustainable waste management in the Indian mining industry [J]. Waste Management & Research, 2005, 23(4): 343-355

[15] DengN, ZhangQ, ChenG W, QiC Q, CuiW Q, ZhangY F, MaH T. Optimal scenario balance of reduction in costs and greenhouse gas emissions for municipal solid waste management [J]. Journal of Central South University, 2015, 22: 887-894

[16] ZaitsevaA, CheskidovV, ZaitsevG. Effect of the mining sequence on the internal dump capacity in an open pit [J]. Journal of Mining Science, 2007, 43(5): 508-515

[17] ZuckerbergM, StoneP, PasyarR, BotzM MOrebody modelling and strategic mine planning AusIMM spectrum series: Joint ore extraction and in-pit dumping optimization [M], 2007, Melbourne, the AusIMM: 200203

[18] PanovZ, MinovK, Karanakova StefanovskaR, StojanovS, DonevaB. Design of an internal waste dump within the boundaries of the open pit [C]. XIth National Conference of the Open and Underwater Mining of Minerals with International Participation, 2011, Varna, Bulgaria, Scientific and Technical Union of Mining, Geology and Metallurgy: 318324

[19] SakantsevG, CheskidovV. Application range of internal dumping in opencast mining of steep mineral deposits [J]. Journal of Mining Science, 2014, 50(3): 501-507

[20] KalantariS, Ben-AwuahE, Askari-NasabH. Towards an integrated oil sands mine plan and composite tailings plan [J]. International Journal of Mining, Reclamation and Environment, 2013, 27(2): 103-126

[21] LuZ, CaiM. Disposal methods on solid wastes from mines in transition from open-pit to underground mining [J]. Procedia Environmental Sciences, 2012, 16: 715-721

[22] PimentelB S, GonzalezE S, BarbosaG N. Decision-support models for sustainable mining networks: fundamentals and challenges [J]. Journal of Cleaner Production, 2016, 112: 2145-2157

[23] QueS, Awuah-OffeiK, SamaranayakeV. Classifying critical factors that influence community acceptance of mining projects for discrete choice experiments in the United States [J]. Journal of Cleaner Production, 2015, 87: 489-500

[24] AdibiN, Ataee-PourM. Consideration of sustainable development principles in ultimate pit limit design [J]. Environmental Earth Sciences, 2015, 74(6): 4699-4718

[25] OkoyeC O, SolyaliO, AkintugB. Optimal sizing of storage tanks in domestic rainwater harvesting systems: A linear programming approach [J]. Resources, Conservation and Recycling, 2015, 104: 131-140

[26] BazaraaM S, JarvisJ J, SheraliH DLinear programming and network flows [M], 2011, Hoboken, New Jersey, John Wiley & Sons

[27] KochTRapid mathematical programming [M], 2004, Berlin, Berlin Institute of Technology