Using network to enhance the insights on correlation and pollution assessment of co-occurring metals in marine sediments, the East China Sea

  • Lili Liu
  • Yupeng Wang
  • Sen Lin
  • Hong Li
  • Xin Chen
  • Zhiping Wang
  • Kuangfei Lin
Research Article
  • 10 Downloads

Abstract

In this study, sediment samples were collected from 24 sites in the East China Sea (ECS) to investigate the distribution characteristics, co-occurrence correlations, and ecological risks of metals. In surface sediments, metals presented a homologous banding distribution pattern decreasing seaward with distance. With network analysis, it indicated metals in this area might directly derive from the coastal river inputs. According to geo-accumulation indexes (Igeo), Cd was classified as moderate pollution at 58% sites, far above other metals. In addition, the potential ecological risk index (RI) was clustered with the ecological risk (ER) of Cd, which was regarded as considerable or high-risk level for most coastal stations. Thus Cd pollution in the ESC sediment should be paid more attention. In sum, the visualization of statistical analyses combined with geochemical approaches could reveal the potential sources of contaminants and ecological risks, thus facilitate the pollution evaluation in marine sediments.

Keywords

Network Co-occurrence correlation Marine sediment Metals Geo-accumulation index Ecological risk 

Notes

Acknowledgements

This work was sponsored by the National Natural Science Foundation of China (41771513, 41001316), Major Science and Technology Program for Water Pollution Control and Treatment in China (2017ZX07202006, 2014ZX07104-006) and Shanghai Pujiang Program (16PJ1404800).

Supplementary material

11356_2018_1279_MOESM1_ESM.doc (546 kb)
ESM 1 (DOC 546 kb)

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Lili Liu
    • 1
  • Yupeng Wang
    • 1
  • Sen Lin
    • 1
  • Hong Li
    • 1
  • Xin Chen
    • 1
  • Zhiping Wang
    • 2
  • Kuangfei Lin
    • 1
  1. 1.State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, School of Resource, and Environmental EngineeringEast China University of Science and TechnologyShanghaiChina
  2. 2.School of Environment Science and TechnologyShanghai Jiao Tong UniversityShanghaiChina

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