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Conference Proceedings

Mine Planning and Equipment Selection (MPES) 2010

Conference Proceedings

Mine Planning and Equipment Selection (MPES) 2010

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Defining Optimal Post-Mining Land use for Different Sections of Mined Land Multi-Attribute Decision-Making Techniques in Through Different Open Pit Mining

During the lifetime of an open pit mining project, each stage from exploration activities to exploitation and mine closure produces disturbances on the mining region. Mined land reclamation plans establish constructive solutions to rehabilitate the disturbed areas. Open pit mining as an effective method for exploitation of a wide range of orebodies especially for massive reserves of shallow metallic substances has exhaustive and harmful environmental effects on the mining project region. Nowadays, closure and reclamation stage in a mining project is emphatically enforced by the relevant environmental protection regulations in many countries. It is therefore obvious that closure and reclamation costs of an open pit mining project, as costs of other stages of project, must be estimated to enter the planning and design processes in open pit mining. Post-mining land use is the most important factor to recognise closure and reclamation costs. Thus, using a model to define optimal land use in planning phase of an open pit mining project is necessary in this regard. In this project a model was developed to define optimal land use regarding different sections of open pit mines such as pit(s), waste dump(s), tailing pond(s), roads, areas for onsite facilities and free land zones which are not mined. TOPSIS and PROMETHE techniques were applied to create the developed model. Lumber production was recognised as the optimal post-mining land use for the pit area of the case study in this project._x000D_
FORMAL CITATION:Gholinejad, A and Bangian, A H, 2010. Defining optimal post-mining land use for different sections of mined land through different multi-attribute decision-making techniques in open pit mining, in Proceedings Mine Planning and Equipment Selection (MPES) 2010, pp 703-718 (The Australasian Institute of Mining and Metallurgy: Melbourne).
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  • Published: 2010
  • PDF Size: 0.323 Mb.
  • Unique ID: P201011068

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