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Environ Sci Pollut Res Int. 2017 Apr;24(12):11360-11370. doi: 10.1007/s11356-017-8732-z. Epub 2017 Mar 17.

Spatial distribution, ecological risk assessment, and potential sources of heavy metal(loid)s in surface sediments from the Huai River within the Bengbu section, China.

Author information

1
School of Environmental Science and Engineering, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Minhang District, Shanghai, 200240, People's Republic of China.
2
School of Resources and Environmental Engineering, Wuhan University of Technology, No. 122, Luoshi Road, Wuhan, 430070, People's Republic of China.
3
School of Environmental Science and Engineering, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Minhang District, Shanghai, 200240, People's Republic of China. qiang.jin@outlook.com.
4
State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210093, People's Republic of China.

Abstract

The Huai River is one of the major drinking water resources in Bengbu City of China's eastern Anhui Province. The study focused on extracting information for spatial distributions of heavy metal(loid)s (As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn) based on the contents of pollutants in 20 surface sediments. Geoaccumulation index and Hakanson potential ecological index were used to calculate the ecological risk of sediment environment in this paper. The I geo results indicated that the sediments were moderately contaminated by Hg and Pb. The potential ecological risk sequence of the metals was Hg > Cd > Pb > Cu > Ni > Cr > Zn > As. Among the metal(loid)s, Hg was the main source of pollution that contributed ∼76% towards the potential ecological risk, followed by Cd. Finally, multivariate statistical analysis methods were conducted to identify the potential causes of pollution and provide basis for environment treatment in Bengbu Reach. The results depicted that Pb may be mainly derived from the traffic emission and manufacturing industry, while Hg may be originated from agricultural emissions.

KEYWORDS:

Ecological risk assessment; Heavy metal(loid)s; Potential ecological risk index; Principal component analysis; Source identification; Spatial distribution

PMID:
28315053
DOI:
10.1007/s11356-017-8732-z
[Indexed for MEDLINE]

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