School of Engineering, University of British Columbia, Kelowna, BC, Canada.
J Environ Manage. 2013 Apr 15;119:36-46. doi: 10.1016/j.jenvman.2013.01.024. Epub 2013 Feb 26.
The selection of remedial alternatives for mine sites is a complex task because it involves multiple criteria and often with conflicting objectives. However, an existing framework used to select remedial alternatives lacks multicriteria decision analysis (MCDA) aids and does not consider uncertainty in the selection of alternatives. The objective of this paper is to improve the existing framework by introducing deterministic and probabilistic MCDA methods. The Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) methods have been implemented in this study. The MCDA analysis involves processing inputs to the PROMETHEE methods that are identifying the alternatives, defining the criteria, defining the criteria weights using analytical hierarchical process (AHP), defining the probability distribution of criteria weights, and conducting Monte Carlo Simulation (MCS); running the PROMETHEE methods using these inputs; and conducting a sensitivity analysis. A case study was presented to demonstrate the improved framework at a mine site. The results showed that the improved framework provides a reliable way of selecting remedial alternatives as well as quantifying the impact of different criteria on selecting alternatives.
矿山补救方案选择是一项复杂的任务，因为它涉及多个标准，而且往往目标相互冲突。然而，现有的补救方案选择框架缺乏多准则决策分析（MCDA）辅助手段，并且在选择方案时没有考虑不确定性。本文的目的是通过引入确定性和概率性 MCDA 方法来改进现有框架。本研究中实施了偏好排序组织法（PROMETHEE）方法。MCDA 分析涉及到对 PROMETHEE 方法输入的处理，这些输入包括确定备选方案、定义标准、使用层次分析法（AHP）定义标准权重、定义标准权重的概率分布以及进行蒙特卡罗模拟（MCS）；使用这些输入运行 PROMETHEE 方法；以及进行敏感性分析。本文提出了一个案例研究，以展示该方法在矿山的应用。结果表明，改进后的框架为选择补救方案提供了一种可靠的方法，并量化了不同标准对选择方案的影响。
