Evaluation of heavy metal accumulation and sources in surface sediments of the Pearl River Estuary (China)

被引:0
|
作者
Liang, Haihan [1 ]
Wang, Guojuan [1 ]
Guo, Hongying [1 ]
Niu, Lixia [1 ,2 ]
Yang, Qingshu [1 ,2 ]
机构
[1] Sun Yat Sen Univ, Sch Ocean Engn & Technol, Guangzhou Southern Lab Ocean Sci & Engn Zhuhai, Guangzhou, Peoples R China
[2] Guangdong Prov Engn Res Ctr Coasts Isl & Reefs, Inst Estuarine & Coastal Res, Guangzhou, Peoples R China
关键词
Heavy metals; Surface sediments; Metal accumulation; PMF model; Source contributions; SOURCE IDENTIFICATION; SOURCE APPORTIONMENT; POLLUTION; SOILS;
D O I
10.1016/j.marenvres.2025.106948
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Pearl River Estuary (PRE) has experienced an influx of metals and nutrients, predominantly from the Pearl River, which has led to a potential threat to the estuarine ecosystem. In this study, sediment samples were densely collected to clarify the accumulation, and source contributions of heavy metals (namely Hg, Zn, Cu, As, Pb, Cd, and Cr) in the PRE. The spatial distributions of these metals exhibited significant differences, with higher values detected in the offshore areas and lower values further away. The metal values along the western coast tended to be significantly elevated compared to that of the eastern seaboard, which may relate to anthropogenic pollution, the discharge of industrial and domestic effluents in the region. The geological accumulation index ( I geo ) was utilized to evaluate the pollution status, categorized as ranging from light to moderate pollution levels. The homology of metal elements was determined through Pearson correlation analysis and principal component analysis (PCA). A receptor model of positive matrix factorization (PMF) was developed to quantify the contributions of various sources to the accumulation of metal elements in the PRE. Industrial sources contributed the most to sediment metals (37.07%), followed by agricultural and natural sources, with transportation sources contributing the least (11.17%).
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页数:9
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