Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Water Sci Technol. 2013;67(4):817-23. doi: 10.2166/wst.2012.608.
For this study, 34 water samples were collected along the Wei River and its tributaries. Multivariate statistical analyses were employed to interpret the environmental data and to identify the natural and anthropogenic trace metal inputs to the surface waters of the river. Our results revealed that Zn, Se, B, Ba, Fe, Mn, Mo, Ni and V were all detected in the Wei River. Compared to drinking water guidelines, the primary trace metal pollution components (B, Ni, Zn and Mn) exceeded drinking water standard levels by 47.1, 50.0, 44.1 and 26.5%, respectively. Inter-element relationships and landscape features of trace metals conducted by hierarchical cluster analysis (HCA) identified a uniform source of trace metals for all sampling sites, excluding one site that exhibited anomalous concentrations. Based on the patterns of relative loadings of individual metals calculated by principal component analysis (PCA), the primary trace metal sources were associated with natural/geogenic contributions, agro-chemical processes and discharge from local industrial sources. These results demonstrated the impact of human activities on metal concentrations in the Wei River.
本研究沿渭河流域及其支流采集了 34 个水样。采用多元统计分析方法对环境数据进行了解释,以确定河流地表水的自然和人为痕量金属输入。研究结果表明,渭河中检测到 Zn、Se、B、Ba、Fe、Mn、Mo、Ni 和 V。与饮用水标准相比,主要痕量金属污染成分(B、Ni、Zn 和 Mn)分别超标 47.1%、50.0%、44.1%和 26.5%。通过层次聚类分析(HCA)进行的痕量金属元素间关系和景观特征研究,确定了所有采样点痕量金属的单一来源,除了一个显示异常浓度的采样点。基于主成分分析(PCA)计算的个别金属相对载荷模式,主要痕量金属来源与自然/地质成因、农业化学过程和当地工业源排放有关。这些结果表明人类活动对渭河水体中金属浓度的影响。