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Source identification of inrush water based on groundwater hydrochemistry and statistical analysis

机译:基于地下水水化学和统计分析的涌水来源识别

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摘要

Water source identification is important for water hazard controlling in coal mines. In this study, major ion concentrations of the groundwater collected from four representative aquifer systems in the Baishan coal mine, northern Anhui Province, China, have been analysed by a series of statistical methods. The results indicate that the major ion concentrations of the groundwater from different aquifer system are different with each other, and provided the possibility of water source identification based on hydrochemistry. Factor analysis indicates that these differences are controlled by different types of water rock interactions. The analysis based on US Environmental Protection Agency (EPA) Unmix model identified three sources (weathering of silicate minerals, dissolution of carbonate and evaporate minerals) responsible for the hydrochemical variations of the groundwater. Also, it shows that their contributions for the groundwater in different aquifer systems vary considerably. Based on these variations and on step by step analysis, the source aquifer system for the groundwater samples with unknown source has been determined and, similar to the result obtained by the cluster and discriminant analysis. Therefore, EPA Unmix model can be applied for water source identification in coal mine, as it can provide information about water rock interaction and water source identification simultaneously.
机译:识别水源对于控制煤矿中的水害非常重要。在这项研究中,通过一系列统计方法分析了从安徽省北部白山煤矿四个代表性含水层系统收集的地下水中的主要离子浓度。结果表明,不同含水层系统地下水的主要离子浓度互不相同,为基于水化学方法识别水源提供了可能。因子分析表明,这些差异是由不同类型的水岩相互作用控制的。根据美国环境保护局(EPA)Unmix模型进行的分析确定了造成地下水水化学变化的三种来源(硅酸盐矿物的风化,碳酸盐和蒸发矿物的溶解)。而且,它表明,它们在不同含水层系统中对地下水的贡献差异很大。基于这些变化和逐步分析,已经确定了来源未知的地下水样品的源含水层系统,与聚类和判别分析获得的结果相似。因此,EPA Unmix模型可以同时提供有关水岩相互作用和水源识别的信息,因此可以用于煤矿的水源识别。

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