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Title: Assessment of pollutions and identification of sources of heavy metals in sediments from west coast of Shenzhen, China
Authors: Huang, FW
Xu, Y
Tan, ZH
Wu, ZB
Xu, H
Shen, LL
Xu, X
Han, QG
Guo, H 
Hu, ZL
Keywords: Heavy metal
Source identification
Statistical analysis
Issue Date: 2018
Publisher: Springer
Source: Environmental science and pollution research, Feb. 2018, v. 25, no. 4, p. 3647-3656 How to cite?
Journal: Environmental science and pollution research 
Abstract: The sediment samples were collected from eight sites located in the Pearl River Estuary and the Shenzhen Bay of the west coast of Shenzhen. The distributions of the seven elements Zn, Cr, Hg, Cu, Cd, Pb and As have been analyzed, and their pollution degrees, corresponding potential ecological risks and source identifications have been studied using geo-accumulation index, potential ecological risk index and integrated multivariate statistical methods, respectively. Based on the calculated geo-accumulation indices, the contamination levels of all elements in the Pearl River Estuary are similar to those in the Shenzhen Bay, reflecting that these elements in the study areas have similar sources because of the adequate seawater exchange. The calculated potential ecological risk indices suggest that Cd and Hg are at considerable and moderate risk, respectively. Multivariate statistical analyses further reveal that Zn, Hg, Cd and Pb originated from industrial wastewater, while Cr and Cu are mainly from both industrial wastewater and agricultural sources, and As is mainly from natural source. These research results provide baseline information for both the coastal environment management and the worldwide heavy metal distribution and assessment.
ISSN: 0944-1344
EISSN: 1614-7499
DOI: 10.1007/s11356-017-0362-y
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