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Optimization of tailings disposal method using fuzzy analytic hierarchy process

机译:基于模糊层次分析法的尾矿处置方法优化

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Due to the increasing demand for metals, the extractable grade of metal deposits has been decreasing and caused an increase in the amount of tailings. Increase in the volume of tailings requires proper attention to tailings disposal, the establishment of tailings dams, water consumption and prevention of environmental and groundwater pollution. Since tailings disposal consists of many stages such as discharge, thickening technology and location, and transportation, selection of the best disposal method is a complicated task. Nowadays, decision-making methods are widely used and they are very reliable and efficient. Therefore, a model based on fuzzy analytic hierarchy process (AHP) has been developed in this study to optimize tailings disposal method selection. In the model, 21 criteria and a wide range of alternatives have been introduced. The model has been applied to the Sangan Iron Ore Project (STOP). The concentrator plant of STOP will produce 75 million tons of tailings during the mine lifetime. Since the current disposal method wastes 1.5 million cubic metres of water annually and the project is located in a dry region, the proposed model has been used to investigate other options and the results show the filtered technique is the best alternative.
机译:由于对金属的需求增加,金属沉积物的可提取品位一直在下降,并导致尾矿量增加。尾矿量的增加要求适当注意尾矿的处置,尾矿坝的建立,耗水量以及防止环境和地下水污染。由于尾矿处置包括排放,增稠技术和位置以及运输等许多阶段,因此,选择最佳处置方法是一项复杂的任务。如今,决策方法已被广泛使用,并且非常可靠和有效。因此,本研究建立了一个基于模糊层次分析法的模型,以优化尾矿处理方法的选择。在该模型中,引入了21条标准和多种选择。该模型已应用于Sangan铁矿石项目(STOP)。 STOP的选矿厂将在矿山使用寿命内生产7500万吨尾矿。由于目前的处置方法每年浪费150万立方米的水,并且该项目位于干旱地区,因此所提出的模型已用于研究其他方案,结果表明,过滤技术是最佳选择。

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