4.7 Article

Insights into spatially and temporally co-occurring polybrominated diphenyl ethers in sediments of the East China Sea

期刊

CHEMOSPHERE
卷 123, 期 -, 页码 55-63

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chemosphere.2014.12.022

关键词

PBDEs; Sediment; East China Sea; Co-occurrence correlations; Network

资金

  1. National Natural Science Foundation of China [41001316, 51108262]
  2. Fundamental Research Funds for the Central Universities [WB1214059]
  3. China Postdoctoral Science Foundation [2014M551415]
  4. National Natural Science Foundation of China

向作者/读者索取更多资源

In this study, twenty-four core sediment samples were collected from monitoring stations in the East China Sea (ECS) to investigate the spatial and temporal distributions of polybrominated diphenyl ethers (PBDEs) and their potential sources. In surface sediment samples (the top 0-3 cm segment), the concentrations of Sigma 8PBDEs (sum of BDE15, 28, 47, 99, 100, 153, 154 and 183) and BDE209 were between 0.03 and 1.26 ng g(-1) d.w., and 0.20 and 3.15 ng g(-1) d.w., respectively. The PBDEs concentrations were decreased generally from the shore towards the sea, indicating that PBDEs are mainly derived from anthropogenic sources. As the predominant congener, BDE209 was primarily distributed in the nearshore regions, suggesting that it might be derived from runoff and sewage. In contrast, higher levels of BDE99 and BDE47 were detected in the offshore samples, and the concentrations of BDE47 were higher than those of BDE99. All of their concentrations were poorly correlated with TOC, suggesting BDE47 and BDE99 might be transferred mainly along with the atmosphere. In most sediment cores, the Sigma 8PBDEs and BDE209 concentrations increased from the bottom (18-30 cm), reached their maximum concentrations in the middle (6-15 cm) or upper (0-6 cm) sections, and leveled off near the surface (0-3 cm). This trend is consistent with the phasing-out of PBDEs and the strict management of recycling e-waste. This is the first study for network used to analyze the distribution properties of pollutant congeners in environment, which facilitates the visualization of cluster results among multivariable data and helps in tracing the potential sources of pollutants. (C) 2014 Elsevier Ltd. All rights reserved.

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