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Modelling the Hyclrogeochemistry of Decommissioned Opencast Coal Mines

机译:建模退役露天煤矿的杂货地球化学

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Water quality improvement in underground mines after the initial flush can render these mines as potential water supplies. However, in certain settings, opencast mining is often preferred. With the prospect of an initial flush in backfilled opencast mines, it is essential to study the initial flush in this setting as these mines may also show water supply potential.Previous work focused on idealised curve fitting to existing mine water chemistry data, analytical calculations, simplified geochemical modelling and numerical transport models. The study presented here combines components of each to predict the initial flush from backfilled opencast mines. An additional component is the calibration of geochemical- and numerical flow and transport modelling data, with existing groundwater monitoring- and laboratory analysis data. A statistically defined mineral assemblage, based on analysis data, is used as input to geochemical models and calibrated using leaching test data. Leaching test data is further compared to speciation calculations and mine water analysis data to ensure representative laboratory data. Long term geochemical modelling results are then used as input to transport models, which are calibrated against groundwater monitoring data.The study presents a calibrated modelling approach which shows that calibration can provide realistic estimates which is supported by existing work, showing the duration of the initial flush in underground mines to be a few decades. The calculated duration of the initial flush in this study ranged between 20 and 100 years. Results obtained are considered to be more representative than static estimates and can aid in the improvement of rehabilitation techniques and the management of post-mining groundwater quality, with calculated concentrations calibrated up to a 1% error range.
机译:在初始冲洗后,地下矿井水质改善可以将这些矿井作为潜在的供水。但是,在某些设置中,通常优先考虑Opencast挖掘。随着初始冲洗的前景在回填的露天矿物中,在这种环境中研究最初的冲洗,因为这些地雷也可以显示供水潜力。另一种作品专注于现有矿井水化学数据的理想化曲线,分析计算,简化地球化学建模与数值传输模型。这里提出的研究结合了每个组分来预测来自回填的露天矿物的初始刷新。附加组件是地球化学和数值流和传输建模数据的校准,具有现有的地下水监测和实验室分析数据。基于分析数据的统计定义的矿物组合用作地球化学模型的输入,并使用浸出测试数据校准。浸出测试数据进一步与样品计算和矿山水分析数据相比,以确保代表性的实验室数据。然后将长期地球化学建模结果用作运输模型的输入,其被校准地进行地下水监测数据。该研究提出了一种校准的建模方法,表明校准可以提供现有工作支持的现实估计,显示初始工作的持续时间在地下矿山冲洗到几十年。本研究中的初始冲洗的计算持续时间在20到100年之间。获得的结果被认为是比静态估计更具代表性,并且可以帮助改善康复技术和挖掘后地下水质量的管理,计算浓度校准高达1%的误差范围。

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