Spatial distribution and ecological risk assessment of heavy metals in surface sediments from a typical plateau lake wetland, China

Junhong Bai, Baoshan Cui, Bin Chen, Kejiang Zhang, Wei Deng, Haifeng Gao and Rong Xiao

Ecological Modelling, 2011, vol. 222, issue 2, 301-306

Abstract: Surface sediment (0–15cm) samples were collected from 31 different grid points throughout the Yilong Lake in April 2004. Samples were subjected to a total digestion technique and analyzed for As, Cd, Cr, Pb, Ni, Cu, and Zn in order to study spatial distribution characteristics based on Kriging method and assess their ecological risks posed by these heavy metals. Results showed that the mean concentrations of these heavy metals were lower than potential effect levels. Patches of higher heavy metal concentrations occurred in the inflow area of the Cheng River and northeast area nearby the road and railway. The higher concentrations of As and Cr also appeared in the east area (lake outlet), while the patches of lower concentrations were uniformly distributed at the southwest corner between Luosewan and Xiaoguoxi. The heavy metal loads such as As, Cd and Pb might come from the common sources due to industrial sewage and traffic pollution, while higher concentrations of Ni, Cr, and Zn in these sediments were dominated by parent rocks. However, Cu originated from both sources. Sediments with respect to As, Cd and Cu were grouped below the effect range low (ERL) at all sites, and with respect to Cr and Pb were grouped into the range from ERL to the effect range median (ERM) at more than 50% of sampling sites. The mean heavy metal toxic units in the Yilong Lake decreased following the order Pb>Cr>As>Ni>Zn>Cd>Cu, with higher contributions to the sum of toxic units of Pb, Cr and As.

Keywords: Surface sediment; Heavy metals; Spatial distribution; Ecological risk assessment (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:222:y:2011:i:2:p:301-306

DOI: 10.1016/j.ecolmodel.2009.12.002

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