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Mine water pollutants migration and transformation in gob filling

机译:矿山充填过程中矿井水污染物的迁移转化

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Based on the experiment data, dynamic model of migration and transformation law was established. By comparison between predicted value and measured value, the result shows that model accuracy is very high and the greatest error is only 25.8%. By analyzing grain size, mineral composition and mineral cation exchange of gob filling, the treatment mechanism was studied. The result shows that SS, iron and manganese are removed by filtration, precipitation, biochemical reaction and sorption. Finally, above model was used to predict treatment effect of the mine water in the the coal mine. The result shows that the gob purifying greatly decreases pollution load with good pretreatment effect. Above research will establish theoretical base for determining design parameter in gob purifying project.
机译:基于实验数据,建立了迁移转化规律的动力学模型。通过预测值与实测值的比较,结果表明模型精度很高,最大误差仅为25.8%。通过分析料滴的粒度,矿物质组成和矿物质阳离子交换,研究了处理机理。结果表明,通过过滤,沉淀,生化反应和吸附去除了SS,铁和锰。最后,利用上述模型对煤矿井水的处理效果进行了预测。结果表明,采空区净化大大降低了污染负荷,具有良好的预处理效果。以上研究将为确定采空区净化工程设计参数奠定理论基础。

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