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An ecological risk assessment of heavy metal contamination in the surface sediments of Bosten Lake, northwest China

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An Erratum to this article was published on 19 February 2016

Abstract

Bosten Lake, a typical rump lake in an oasis in northwest China, was chosen to evaluate the distribution, sources, pollution status, and potential ecological risk of heavy metals. Sediment samples were collected from the lake, and results showed that the values of the eight heavy metals all fell within the Second Soil National Standard, while the average and maximum values of the metals were higher than the background values of the study. Multivariate statistical analysis showed that sediment concentrations of Cd, Pb, Hg, and Zn were mainly influenced by man sources. In comparison, Cu, Ni, Cr, and As were primarily natural in origin. Enrichment factor analysis (EF) and the geo-accumulation index evaluation method (I geo) showed that Cd, Hg, and Pb fell under low and partial serious pollution levels, while Zn, As, Cr, Ni, and Cu mainly were characterized under no pollution and low pollution levels. The potential ecological hazards index (RI) showed that among the eight heavy metals, Pb, Hg, and Cd posed the highest potential ecological risk, with potential ecological hazards indices (RI) of 29.06, 27.71, and 21.54 %, respectively. These findings demonstrated that recent economic development in the area of the basin has led to heavy metal accumulation in the surface sediments of the lake.

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Acknowledgments

This study was supported by the Open Project of Xinjiang Key Laboratory of Lake Environment and Resources in Arid Zone, Xinjiang Normal University (X2014KL0106), the National Natural Science Foundation of China (No. 41501541), and the China Postdoctoral Science Foundation (No. 2015M570867). We are extremely thanked for the reviewer’s advice.

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Correspondence to Zulpiya Mamat.

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Mamat, Z., Haximu, S., Zhang, Z.y. et al. An ecological risk assessment of heavy metal contamination in the surface sediments of Bosten Lake, northwest China. Environ Sci Pollut Res 23, 7255–7265 (2016). https://doi.org/10.1007/s11356-015-6020-3

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