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中国珠江口表层沉积物中重金属的源特异性生态风险评估与定量源解析

Source-specific ecological risk assessment and quantitative source apportionment of heavy metals in surface sediments of Pearl River Estuary, China.

作者信息

Xiao He, Shahab Asfandyar, Ye Feng, Wei Gangjian, Li Jieyue, Deng Liming

机构信息

Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou 511458, China; State Key Laboratory of Isotope Geochemistry, CAS Center for Excellence in Deep Earth Science, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; College of Environmental Science and Engineering, Guilin University of Technology, Guilin 541004, China.

College of Environmental Science and Engineering, Guilin University of Technology, Guilin 541004, China.

出版信息

Mar Pollut Bull. 2022 Jun;179:113726. doi: 10.1016/j.marpolbul.2022.113726. Epub 2022 May 11.

Abstract

In this study, surface sediments of the Pearl River Estuary were collected from 29 stations and investigated the spatial distribution, pollution level, quantitative source apportionment, and source-specific ecological risk of 10 heavy metals. The mean concentrations followed the order of Mn > Zn > Cr > Cu > Ni > Pb > As > Co > Cd > Hg. In terms of spatial distribution, it showed that the heavy metals were enriched in the inner Pearl River Estuary with 'extremely high' level of Hg, whereas, Cd and Zn posed 'moderate to high' contamination potential. We apportioned four main sources using positive matrix factorization model, in which natural geogenic and industrial manufacturing sources accounted for 36.84% and 27.11% of the total, respectively. However, the source-specific risk assessment suggested that mixed anthropogenic sources were the main contributors, and ecological risks were strongly affected by anthropogenic imports from the surrounding cities.

摘要

在本研究中,从珠江口的29个站点采集了表层沉积物,调查了10种重金属的空间分布、污染水平、定量源解析以及特定源生态风险。平均浓度顺序为:锰>锌>铬>铜>镍>铅>砷>钴>镉>汞。在空间分布方面,结果表明珠江口内的重金属呈现富集状态,汞处于“极高”水平,而镉和锌具有“中度至高”的污染潜力。我们使用正定矩阵因子分解模型解析出四个主要来源,其中自然地质源和工业制造源分别占总量的36.84%和27.11%。然而,特定源风险评估表明,混合人为源是主要贡献者,生态风险受到周边城市人为输入的强烈影响。

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