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Reaction Modeling of Drainage Quality in the Duluth Complex, Northern Minnesota, USA

机译:德卢斯复合物中排水质量的反应建模,美国北明尼苏达州

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Reaction modeling can be a valuable tool in predicting the long-term behavior of waste material if representative rate constants can be derived from long-term leaching tests or other approaches. Reaction modeling using the REACT program of the Geochemist's Workbench was conducted to evaluate long-term drainage quality affected by disseminated Cu-Ni-(Co-)-PGM sulfide mineralization in the basal zone of the Duluth Complex where significant resources have been identified. Disseminated sulfide minerals, mostly pyrrhotite and Cu-Fe sulfides, are hosted by clinopyroxene-bearing troctolites. Carbonate minerals are scarce to non-existent. Long-term simulations of up to 20 years of weathering of tailings used two different sets of rate constants: one based on published laboratory single-mineral dissolution experiments, and one based on leaching experiments using bulk material from the Duluth Complex conducted by the Minnesota Department of Natural Resources (MNDNR). The simulations included only plagioclase, olivine, clinopyroxene, pyrrhotite, and water as starting phases. Dissolved oxygen concentrations were assumed to be in equilibrium with atmospheric oxygen. The simulations based on the published single-mineral rate constants predicted that pyrrhotite would be effectively exhausted in less than two years and pH would rise accordingly. In contrast, only 20 percent of the pyrrhotite was depleted after two years using the MNDNR rate constants. Predicted pyrrhotite depletion by the simulation based on the MNDNR rate constant matched well with published results of laboratory tests on tailings. Modeling long-term weathering of mine wastes also can provide important insights into secondary reactions that may influence the permeability of tailings and thereby affect weathering behavior. Both models predicted the precipitation of a variety of secondary phases including goethite, gibbsite, and clay (nontronite).
机译:如果代表性速率常数可以从长期浸出测试或其他方法衍生出代表性速率常数,则反应建模可以是预测废料的长期行为的宝贵工具。使用地球化学师工作台的反应计划进行反应建模,以评估在达到达尔大学的基础区中弥散的Cu-Ni-(Co - ) - PGM硫化物矿化影响的长期引流质量,其中已经确定了重要资源。传播硫化物矿物质,大多是烟道钛和Cu-Fe硫化硫化物,通过临床轴承的塞子托管。碳酸盐矿物稀缺不存在。长期模拟长达20年的尾矿风化使用两组不同的速率常数:一个基于已发表的实验室单矿物溶解实验,并且基于使用明尼苏达部门进行的抗德鲁斯复合物的散装材料的浸出实验。自然资源(MNDNR)。该模拟仅包括Plagioclase,Olivine,Closopogroxene,PyrlOhotite和水作为起始阶段。假设溶解的氧浓度与大气氧有平衡。基于已发表的单矿物速率常数的模拟预测,PyrHotite在不到两年的时间内有效地耗尽,并且pH值相应地升高。相比之下,使用MNDNR速率常数两年后,只有20%的Pyrrhotite被耗尽。通过基于MNDNR速率恒定的仿真预测Pyrrhotite耗尽良好符合尾矿实验室测试结果的良好匹配。矿山废物的长期风化也可以对可能影响尾矿渗透性的二次反应提供重要的见解,从而影响风化行为。两种模型预测了各种二级阶段的沉淀,包括霉菌,Gibbsite和粘土(非龙岩)。

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