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Modeling and Predicting of Drainage Quality for Sulfide Mine Tailings Impoundments

机译:硫化矿尾矿库排水质量的建模与预测

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Oxidation of sulfide minerals in the sulfide tailings impoundments generates acidic conditions and high concentrations of dissolved heavy metals, sulfates and arsenic in the pore water. The pore water migrates away from the tailings to pose a potential long-term environmental threat to nearby water bodies, including surface water and groundwater systems, when infiltration of precipitation is unhindered, bottom liners are absent and no drainage collection is installed. So there is a great need to develop reliable modeling techniques for the characterization geochemical interactions taking place within the tailings and prediction of potential future environmental hazard which favor further prevention and remediation of the acidic mine drainage. In this paper, a comprehensive kinetic model for tailings-water interaction was established on the basis of considering the coupling and feedback among mony factors and processes such as sulfide oxidation, gangue dissolution, oxygen diffusion, water flow and mass transport, evolution of porosity and permeability of tailings induced by dissolution and precipitation of minerals. We employed the finite element and the updated Lagrangian approach to solve the dynamic equation sets and compile the modeling code. The Xiangxi gold mine(XXGM) located in Hunan province(a city of central-south university), a larger Au-Sb-W deposit with over 120 years' exploitation and over 3.8 million ton tailings, was taken as an example to illustrate the application of this model in the simulation and prediction of the quality of tailings effluents. Considering the impact of tailings impoundments with or without covering layers, we simulated the evolution of the concentrations of various contents (pH,SO_4~(2-),Pb,Zn, Cu,Cd,Sb and Au) in tailings pore water with time and depth. The numerical modeling results suggested that tailings-water interaction at the early stage lead to the acidification and release of heavy metals which are responsible for the persistent pollution to the environment for 30 years. Tailings pore water can be gradually neutralized and contents of polluted species tend to decline markedly with time. It is also shown that the gangue dissolution and organic matter reaction can stimulate the acid neutralization and decrease the diffusion rate of oxygen in tailings impoundments. The contents of pore-water species in upper tailings are significantly higher than in lower tailings and change severely at 6m depth. Therefore, the hydrological zoning phenomenon in tailings impoundments account for geochemical zonation. The fact that modeling results are in agreement with field data confirmed that this model has the potential to predict drainage quality for sulfide mine tailing impoundments.
机译:硫化物尾矿库中硫化物矿物的氧化会产生酸性条件,并在孔隙水中产生高浓度的溶解性重金属,硫酸盐和砷。孔隙水从尾矿中迁移出来,对附近的水体(包括地表水和地下水系统)构成潜在的长期环境威胁,当不阻碍降水渗透时,将不存在底衬,也没有安装排水装置。因此,迫切需要开发可靠的建模技术,以表征尾矿中发生的地球化学相互作用,并预测潜在的未来环境危害,这有助于进一步预防和修复酸性矿山排水。本文在考虑硫化物氧化,脉石溶解,氧扩散,水流和传质,孔隙度和孔隙度的变化等单因素和过程之间的耦合和反馈的基础上,建立了尾矿与水相互作用的综合动力学模型。矿物溶解和沉淀引起的尾矿渗透性。我们使用有限元和更新的拉格朗日方法来求解动态方程组并编译建模代码。以湖南省(中南大学市)湘西金矿(XXGM)为例,该矿具有较大的金-锑-钨矿床,已有120多年的开采历史,尾矿超过380万吨。该模型在尾矿废水质量模拟和预测中的应用。考虑到尾矿库有无覆盖层的影响,我们模拟了尾矿孔水中不同含量(pH,SO_4〜(2-),Pb,Zn,Cu,Cd,Sb和Au)的浓度随时间的变化。和深度。数值模拟结果表明,尾矿与水的早期相互作用导致了重金属的酸化和释放,这些重金属对环境造成了30年的持续污染。尾矿中的孔隙水可以逐渐被中和,被污染物质的含量往往会随着时间的推移而显着下降。还表明,脉石溶解和有机物反应可以刺激酸中和并降低尾矿库中氧气的扩散速率。上部尾矿中的孔隙水种类含量明显高于下部尾矿,并且在6m深度处发生剧烈变化。因此,尾矿库中的水文分区现象是地球化学分区的原因。建模结果与现场数据吻合的事实证实了该模型具有预测硫化矿尾矿库排水质量的潜力。

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