Ju Qiding, Hu Youbiao, Xie Zhigang, Liu Qimeng, Zhang Zhiguo, Liu Yu, Peng Taosheng, Hu Taifeng
State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan, 232001, China.
School of Earth and Environment, Anhui University of Science and Technology, Huainan, 232001, China.
Environ Sci Pollut Res Int. 2023 Mar;30(13):39184-39198. doi: 10.1007/s11356-022-25019-9. Epub 2023 Jan 4.
Anthropogenic and geological factors play an essential role in the variability of groundwater quality, resulting in a weak spatial dependence of groundwater trace elements. Thus, it is an essential study to investigate the factors affecting groundwater quality and its spatial abundance of trace elements (including As, B, and other metalloids). In this study, samples are obtained from a Permian sandstone fracture aquifer in a coal mining area. A multivariate statistical analysis, hydrogeochemistry modeling, and spatial autocorrelation analysis were used to analyze the data. The results showed that Moran index was positive for all trace elements, which had good spatial autocorrelation. The Local indicators of spatial association (LISA) indicated that trace elements were clustered. The hydrogeochemical modeling results indicated that the precipitation and stability of iron-phase minerals, such as rhodochrosite and arsenic (As) absorption on the surface of iron-phase minerals in the aquifer, may limit concentrations in the southern region. The spatial autocorrelations of both As and Boron (B) were positive (high-high) in the western areas, indicating that As contamination occurred from both natural geological causes and human coal mining activities. In contrast, B contamination was mainly linked to the influence of human agricultural or industrial activities. Over 96% of the groundwater concentrations of As (10 μg/L) and B (300 μg/L) in the study area exceeded World Health Organization (WHO) limits. Overall, the results of this work could help decision-makers involved in regional water quality management visualize disperse zones where specific anthropogenic and geological processes may threaten groundwater quality.
人为因素和地质因素对地下水水质的变化起着至关重要的作用，导致地下水中微量元素的空间依赖性较弱。因此，研究影响地下水水质及其微量元素（包括砷、硼和其他类金属）空间丰度的因素是一项重要的研究。在本研究中，样本取自某煤矿区的二叠系砂岩裂隙含水层。采用多元统计分析、水文地球化学建模和空间自相关分析对数据进行分析。结果表明，所有微量元素的莫兰指数均为正值，具有良好的空间自相关性。局部空间自相关指标（LISA）表明微量元素呈聚集状态。水文地球化学建模结果表明，含水层中菱锰矿等铁相矿物的沉淀以及铁相矿物表面对砷（As）的吸附作用可能会限制南部地区的浓度。西部地区的砷（As）和硼（B）的空间自相关性均为正（高高），表明砷污染是由自然地质原因和人类煤炭开采活动共同造成的。相比之下，硼污染主要与人类农业或工业活动的影响有关。研究区域内超过96%的地下水砷浓度（10μg/L）和硼浓度（300μg/L）超过了世界卫生组织（WHO）的限值。总体而言，这项工作的结果可以帮助参与区域水质管理的决策者直观地看到特定人为和地质过程可能威胁地下水水质的分散区域。
