Yi Yu-Jun, Sun Jie, Tang Cai-Hong, Zhang Shang-Hong
Ministry of Education Key Laboratory of Water and Sediment Science, Beijing Normal University, Beijing, 100875, China.
State Key Joint Laboratory of Environment Simulation and Pollution Control, Beijing Normal University, Beijing, 100875, China.
Environ Sci Pollut Res Int. 2016 Jun;23(11):11002-11013. doi: 10.1007/s11356-016-6296-y. Epub 2016 Feb 23.
Heavy metal pollution in China's Yangtze River basin has been of high concern. The concentrations of heavy metals (Cr, Cd, Hg, Cu, Zn, Pb, and As) in the sediment were investigated in the upper reaches of the river, China. Sediment quality guidelines (SQGs), an enrichment factor (EF), an index of geo-accumulation (I geo), and potential ecological risk were used to evaluate the extent of contamination from the heavy metal concentrations in the sediment. Among the seven metals, a noticeable degree of pollution was seen only in the case of Cd and Cd posed a considerable ecological risk at some sample sites. The Pearson correlation analysis was implemented to determine the relationships among the heavy metals, and principal component analysis (PCA) was performed to determine the most common pollution sources. The elements As, Cd, Pb, and Zn were grouped together, and the anthropogenic sources of these heavy metals were closely related. The sites with higher Cd concentrations were mainly confined to the river's reach near industrial areas. Controlling the pollution sources will effectively reduce the pollutant concentrations in the sediment.
中国长江流域的重金属污染一直备受关注。对长江上游沉积物中的重金属（铬、镉、汞、铜、锌、铅和砷）浓度进行了调查。采用沉积物质量基准（SQGs）、富集因子（EF）、地累积指数（I geo）和潜在生态风险来评估沉积物中重金属浓度的污染程度。在这七种金属中，仅镉出现了明显程度的污染，且在一些采样点镉构成了相当大的生态风险。进行了Pearson相关性分析以确定重金属之间的关系，并进行了主成分分析（PCA）以确定最常见的污染源。砷、镉、铅和锌元素归为一组，这些重金属的人为来源密切相关。镉浓度较高的地点主要集中在靠近工业区的河段。控制污染源将有效降低沉积物中的污染物浓度。
