伶仃洋水体溶解态重金属污染特征及其溯源分析

Characteristics and Source Analysis of Dissolved Heavy Metal Pollution in the waters of Lingdingyang

  • 摘要: 本文基于2019年夏季伶仃洋21个站位的调查资料,分析河口水体溶解态重金属元素的分布规律及影响因子,探讨河口复杂动力与富营养条件对溶解态重金属的影响机制,采用相关性分析、主成分分析-多元线性回归模型(PCA-MLR),定量解析重金属污染来源及其贡献率。结果表明:7种重金属元素空间分布差异显著,Cr、As、Zn和Cu整体呈现由湾顶向湾口递减的趋势,变化范围分别为0.17~0.95、2.8~5.0、3.59~2.66 和1.0~4.05 μg/L;Pb、Hg和Cd则表现出不同的变化趋势,变化范围分别为0.16~1.72、0.014~0.029和0.04~0.09 μg/L,这种差异与近海地区人为污染、工业、农业和生活污水排放有关。基于富营养化评估,伶仃洋富营养化等级为中高富营养水平,与重金属元素的分布特征显著相关(如As、Cu和Zn)。生态风险评价结果显示,伶仃洋水体重金属整体表现为轻度-中度污染水平,主要污染元素为Cu、Zn和Cd;皮尔逊相关分析显示,As、Zn和Cu源于相似污染源,Cr和Hg来源相近,Pb与Cd分别来源于不同于以上的污染源;PCA-MLR结果显示,调查海域内重金属元素的来源主要有4个,其中工业来源贡献最大(贡献率为29.5%),其次是交通来源(贡献率为25.1%)和自然来源(贡献率为23.0%),农业污染源贡献最小(贡献率为22.4%)。研究结果在揭示强人类活动影响下的河口区域重金属迁移转化机制方面具有重要意义,也为珠江口陆海统筹污染防控和粤港澳大湾区用水安全保障提供重要支撑。

     

    Abstract: Based on the survey data of 21 stations in Lingdingyang in the summer of 2019, this study analyzes the distribution patterns and influencing factors of the dissolved heavy metals in estuarine waters, and investigates the impact of estuarine dynamics and eutrophication on the heavy metals. Correlation analysis along with principal component analysis-multiple linear regression model (PCA-MLR) are used to quantitatively identify the sources and contribution rates of heavy metal pollution. The results indicate significant spatial variations of seven heavy metals. Cr, As, Zn, and Cu generally exhibited a decreasing trend from the upper estuary to the mouth, with concentration ranges of 0.17-0.95, 2.8-5.0 3.59-12.66, and 1.02-4.05 μg·L−1, respectively. In contrast, Pb, Hg, and Cd showed different trends, with concentration ranges of 0.16-1.72, 0.014-0.029, and 0.04-0.09 μg·L−1, respectively. These differences are associated with anthropogenic pollution, industry, agriculture, and domestic sewage discharge in the coastal areas. Eutrophication assessment revealed that the Lingdingyang Bay is classified as “medium to high” eutrophication level, which is significantly correlated to the distribution characteristics of heavy metals (e.g. As, Cu, and Zn). Ecological risk evaluation results showed that the heavy metals in the study area are generally at “mild to moderate” pollution levels, with Cu, Zn, and Cd being the main pollution elements. Pearson correlation analysis showed that As, Zn, and Cu originate from similar pollution sources, Cr and Hg have similar sources, and Pb and Cd come from distinct sources different from the others. The PCA-MLR results identified four main sources of heavy metals in the surveyed sea area: industrial sources contributed the most (29.5%), followed by transportation sources (25.1%) and natural sources (23.0%), while agricultural pollution sources had the smallest contribution (22.4%). This study provides improtant insights into the transport and transformation of heavy metals in estuarine areas influenced by human activities. It also offers critical support for integrated land-sea pollution prevention and control in the Pearl River Estuary and ensures water security in the Guangdong-Hong Kong-Macao Greater Bay Area.

     

/

返回文章
返回