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伶仃洋表层沉积物重金属污染特征与定量源解析

Characteristics and quantitative source apportionment of heavy metal pollution in surface sediments of Lingdingyang

  • 摘要: 为探究珠江伶仃洋表层沉积物中重金属的污染特征及驱动机制,于2018年夏季在研究区域内采集了22个表层沉积物,对7种重金属元素(Hg、Cd、Pb、Cr、As、Zn和Cu)的空间分布、生态风险及影响因素进行分析,定量解析了重金属的主要来源及其贡献率。结果表明:重金属元素Hg、Cd、Pb、Cr、As、Zn、Cu浓度变化范围分别为0.019~0.192、0.028~0.969、9.600~85.100、11.000~134.000、6.330~34.700、32.700~206.000、7.500~172.000 mg/kg,平均浓度值分别为0.080、0.278、37.241、31.368、15.679、95.155、43.455 mg/kg。7种重金属元素空间变化趋势基本一致,呈现近岸高外海低,西部高于东部,与近海地区人为污染、工业、农业和生活污水排放有关;地累积指数评价结果显示,研究区域呈轻度-中度污染水平;基于综合潜在生态风险指数,整体呈现为低风险水平,其中Cd显示为中风险;采用皮尔逊相关分析和主成分分析,发现Hg、Cr、Zn、Cu源于相同或相似污染源;基于正定矩阵因子分析(PMF)模型定量识别重金属元素的主要来源及贡献,结果显示,工业来源贡献最大,其次是农业来源和自然来源,交通来源贡献最小。本研究结果可为珠江口陆海统筹污染防控提供科学支撑。

     

    Abstract: To investigate the pollution status and derving mechanisms of heavy metals in surface sediments of Lingdingyang, Pearl River Estuary, 22 surface sediment samples were collected in summer 2018 within the area. The spatial distribution, ecological risks, and influencing factors of seven heavy metal elements (Hg, Cd, Pb, Cr, As, Zn, and Cu) were analyzed, and the main sources and contribution rates of these heavy metals were quantitatively apportioned. The results showed that the concentrations ranges of Hg, Cd, Pb, Cr, As, Zn and Cu were 0.019~0.192, 0.028~0.969, 9.600~85.100, 11.000~134.000, 6.330~34.700, 32.700~206.000, and 7.500~172.000 mg/kg, with mean values of 0.080, 0.278, 37.241, 31.368, 15.679, 95.155, and 43.455 mg/kg, respectively. The spatial distributions of these heavy metals were similar, with higher concentrations in nearshore area and lower conentrations in offshore area. And the metal values in the western region were higher than those in the eastern region, which may be associated with the anthropogenic polluttion, such as industrial and agricultural activities, and domestic sewage discharges in coastal area. Geological accumulation index indicated that the study area exhibited mild to moderate pollution levels. Based on the comprehensive potential ecological risk index, the overall risk level was low except for Cd of moderate risk. The Pearson correlation analysis and principal component analysis revealed that Hg, Cr, Zn, Cu originated from the same or similar pollution sources. Quantitative identification of the main sources and their contributions using the positive matrix factorization (PMF) model showed that industrial sources contributed the most, followed by agricultural and natural sources, while transportation sources contributed the least. The findings of this study can provide scientific support for integrated land-sea pollution prevention and control in the Pearl River Estuary.

     

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