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Multivariate analysis of heavy metals in surface sediments from lower reaches of the Xiangjiang River, southern China |
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| Authors: | Longjiang Mao Duowen Mo Yuanyuan Guo Qiang Fu Jinghong Yang Yaofeng Jia |
| Institution: | 1. School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing, 210044, China 2. College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China 3. Department of Earth Sciences, Nanjing University, Nanjing, 210093, China 4. School of Management, North University for Nationalities, Yinchuan, 750021, China |
| Abstract: | The concentrations of heavy metals (Cr, Mn, Co, Ni, Cu, Zn, Cd, and Pb) in 16 samples collected from the lower reach (Changsha–Xiangtan–Zhuzhou section) of the Xiangjiang River in southern China were determined by high-resolution inductively coupled plasma mass spectroscopy (HR-ICPMS). Multivariate analysis, such as principal component analysis and cluster analysis, coupled with correlation coefficient analysis, was used to analyze the analytical data and to identify possible pollution sources of heavy metals. The results showed that the eight studied heavy metals accumulated in the sediments from the lower Xiangjiang River, especially Mn, Cu, Zn, Pb and Cd, which were 2.0–2.6, 1.7–2.6, 3.5–3.8, 3.2–3.6 and 189.5–152.8 times the soil trace element background for Hunan Province and UCC background values, respectively. Principal component analysis and cluster analysis, coupled with correlation coefficient analysis, revealed that the sediments from lower Xiangjiang River were mainly influenced by two sources: Cr, Co, Ni, Cu, Zn, Cd and Pb mainly originated from industrial sources, whereas Mn was derived from both industrial and natural sources, but mainly from natural sources due to weathering and erosion. |
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