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Infrared detection of ore variability that influences the environmental risks during perlite mining and processing

机译:红外检测矿石变化会影响珍珠岩开采和加工过程中的环境风险

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In the mining of perlite deposits, controlling the generation of fine particles and the concentration of metals is of outstanding importance to meet the environmental and market requirements. Particle size and chemical purity are conventionally manipulated during the processing of the ore to achieve high product specifications. However, the current practices do not consider a proactive approach that focuses in the in-pit characterisation of the ore that would minimise the environmental impact and optimise the mining process since its early stages. This paper presents a method for the in-pit detection of the perlite ore variability that is related to the generation of fine particles and the elevated concentration of metals. Particle size and chemical purity showed to be dependent on the mineralogical variations of the ore, specifically opal and montmorillonite. Using a portable infrared spectrometer, an index that establishes the relative proportions of these minerals in the perlite ore was created. Such index provided insight into the correlation between mineralogy, fine particles and concentration of metals. Consequently, the index could be used not only for mineralogical determination but also as a predictor of the presence of the main impurities in the perlite ore. These results can be implemented in perlite mining to reduce the generation of waste and can influence the production of high-quality perlite products.
机译:在珍珠岩矿床的开采中,控制细颗粒的产生和金属的浓度对于满足环境和市场要求具有极其重要的意义。通常在矿石加工过程中控制粒度和化学纯度,以实现高产品规格。但是,当前的实践并未考虑采取主动的方法来专注于矿石的矿内表征,因为这种方法从早期就可以最大程度地减少对环境的影响并优化采矿过程。本文提出了一种珍珠岩矿石变异性的矿内检测方法,该方法与产生细颗粒和提高金属浓度有关。粒度和化学纯度显示取决于矿石的矿物学变化,特别是蛋白石和蒙脱石。使用便携式红外光谱仪创建了一个指标,该指标确定了珍珠岩矿石中这些矿物的相对比例。该指数提供了对矿物学,细颗粒和金属浓度之间关系的深入了解。因此,该指数不仅可以用于矿物学测定,而且可以预测珍珠岩矿石中主要杂质的存在。这些结果可以在珍珠岩开采中实施,以减少废物的产生,并可以影响高质量珍珠岩产品的生产。

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