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Ecotoxicology

, Volume 23, Issue 4, pp 609–617 | Cite as

Distribution characteristics and ecological risk assessment of toxic heavy metals and metalloid in surface water of lakes in Daqing Heilongjiang Province, China

  • Xiaodi Wang
  • Shuying ZangEmail author
Article

Abstract

It is necessary to estimate heavy metal concentrations and risk in surface water for understanding the heavy metal contaminations and for sustainable protection of ecosystems and human health. To investigate the anthropogenic contribution of heavy metal accumulation surrounding an industrial city in China, the concentrations of six heavy metals, including mercury (Hg), arsenic (As), chromium (Cr), lead (Pb), copper (Cu), and cadmium (Cd) were examined; from four different regions of Daqing in autumn 2011 and winter 2012. The results showed heavy metals distributed in the industrial area at concentrations relatively higher than those in other three areas, while concentrations in the farming area and the protected area were lower. The heavy metal concentrations of water bodies in all areas, except those for Hg and As, Cu, Pb and Cr were lower than the cutoff values for the Class I water quality that was set as the highest standard to protect the national nature reserves. While Hg and As of lakes in industry region had a higher level than those in the agriculture and landscape water, the lowest allowed. The concentrations of all the heavy metals in winter were higher than in the autumn. Cu had a higher ecological risks level to freshwater organisms. The discharge of urban sewage and industrial wastewater might be a major pollutant source, thus these sources should identified before remediation efforts. Efforts are needed to protect the lakes from pollution and also to reduce environmental health risks. This study and the valuable data will pave the way for future research on these Lakes in Daqing.

Keywords

Heavy metals Daqing lakes Ecological risk Toxic pollutants Land use 

Notes

Acknowledgments

This research was financially supported by the key National Natural Science Foundation of China (No. 41030743), the Science and Technology Innovative Programs Foundation of Higher Education of Heilongjiang Province of China (No. 2010td10), and the key Natural Science Foundation of Heilongjiang Province of China (No. ZD201308).

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Key Laboratory of Remote Sensing Monitoring of Geographic Environment, College of Heilongjiang ProvinceHarbin Normal UniversityHarbinPeople’s Republic of China

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