Heavy metal and persistent organic pollutant profile of sediments from marine protected areas: the northern Persian Gulf

被引:4
|
作者
Ghaemi, Maryam [1 ]
Soleimani, Farshid [1 ,2 ]
Gholamipour, Sara [1 ]
机构
[1] Iranian Natl Inst Oceanog & Atmospher Sci, 3 Etemadzadeh St,Fatemi Ave, Tehran 1411813389, Iran
[2] Hormozgan Univ Med Sci, Tobacco & Hlth Res Ctr, Bandar Abbas, Iran
关键词
Persistent organic pollutants; Polycyclic aromatic hydrocarbon; Polychlorinated biphenyls; Heavy metals; Marine protected area; Persian Gulf; POLYCHLORINATED-BIPHENYLS PCBS; POLYCYCLIC AROMATIC-HYDROCARBONS; ECOLOGICAL RISK-ASSESSMENT; COASTAL SEDIMENTS; SURFACE SEDIMENTS; PETROLEUM-HYDROCARBONS; SPATIAL-DISTRIBUTION; BOTTOM SEDIMENTS; ARABIAN GULF; PAHS;
D O I
10.1007/s11356-023-30688-1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Marine protected areas (MPAs) are one of the policy tools to support marine biodiversity conservation and sustainable use of marine resources. The distribution, sources, and ecological risk assessment of persistent organic pollutants (POPs), including polycyclic aromatic hydrocarbon (PAHs), total petroleum hydrocarbons (TPHs), polychlorinated biphenyls (PCBs), and heavy metals (HMs) in sediments of MPAs in the northern Persian Gulf, were evaluated for the first time in this study. The sigma 16PAHs ranged from 4.65 to 20.86 mu g/kg dry weight (dw). The molecular ratios and ring's pattern of PAHs suggested a mixed origin with a predominance of pyrogenic sources. The TPH concentration varied from 5.21 to 17.90 mu g/g dw. Ecological risk assessment suggested that sediment samples in Bushehr Province's MPAs can be categorized as medium risk. The mean concentration of n-ary sumation 18PCB was 0.345-0.419 ng/g dw, and the main components correspond to PCB-77, PCB-105, PCB-81, PCB-101, and PCB-114. The mean concentration of As, Co, Cr, Ni, V, Mg, Pb, Zn, Cu, Al, and Fe varied from 4.79 to 9.69, 2-12, 39-142, 18-90, 15-58, 184-425, 7-45.9, 6-42.4, 4-20 mu g/g dw, 0.75-4.12%, and 0.35-1.62%, respectively. Multivariate analysis, such as principal component analysis (PCA) and cluster analysis (CA), coupled with correlation coefficient analysis, was used to analyze the analytical data and to identify possible pollution sources. The results of this study provided the background information on the extent of POP contamination in the sediment and highlighted the need to further control pollution in MPAs.
引用
收藏
页码:120877 / 120891
页数:15
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