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盐城射阳河口沉积柱中多环芳烃来源与生态风险评价

Sources analysis and ecological risk of polycyclic aromatic hydrocarbons in sediment cores from the Sheyang River Estuary in Yancheng City

  • 摘要: 通过测定江苏省盐城市射阳河口沉积柱(沉积柱1和沉积柱2)中多环芳烃含量,分析其垂向分布特征、来源及生态风险水平,探讨多环芳烃污染与人类活动的关联。研究结果表明,射阳河口沉积柱1和沉积柱2中15种多环芳烃总质量比平均值分别为122.21 ng/g和141.88 ng/g,7种致癌多环芳烃组分总质量比平均值分别为66.68 ng/g和72.45 ng/g。射阳河口沉积柱多环芳烃由高分子量多环芳烃组成,多环芳烃含量在垂直分布上整体呈现为阶段性上升趋势。射阳河口沉积柱中多环芳烃主要来源是车辆排放源(45.00 %)、煤炭和天然气燃烧源(43.00%)、石油泄漏和生物质燃烧的混合源(12.00%)。射阳河口沉积柱中多环芳烃的生态风险水平较小,毒性风险均小于10%。沉积柱中多环芳烃污染主要与工业活动和交通排放指标正相关,其解释了98.36%的多环芳烃污染与社会经济指标的关系,其中,城镇人口与车辆排放对高分子量多环芳烃的累积贡献大,农业活动对低分子量多环芳烃含量的累积贡献大。

     

    Abstract: In recent years, the rapid expansion of industrialization and urbanization in the coastal zones of Jiangsu Province has led to the extensive discharge of polycyclic aromatic hydrocarbons into river systems flowing into the sea, significantly accelerating the degradation of estuarine and nearshore ecosystems. The concentrations of polycyclic aromatic hydrocarbons were determined in two sediment cores (sediment core 1 and sediment core 2) from the Sheyang River Estuary in Yancheng City, Jiangsu Province, China. The characteristics of vertical distributions, sources, and ecological risk level was analyzed, and explored the correlation between pollution of polycyclic aromatic hydrocarbons and human activities. These can provide essential scientific support for pollution control and environmental management in estuarine zones of coastal cities. The average total concentrations of 15 kinds polycyclic aromatic hydrocarbons in sediment core 1 and sediment core 2 were 122.21 ng/g and 141.88 ng/g, respectively. The average concentrations of seven carcinogenic polycyclic aromatic hydrocarbons were 66.68 ng/g and 72.45 ng/g, accounting for 52.77% and 47.83% of the total concentrations of polycyclic aromatic hydrocarbon load, respectively. High molecular weight polycyclic aromatic hydrocarbons dominated the composition, comprising 79.49% in sediment core 1 and 75.37% in sediment core 2. Among the 15 kinds polycyclic aromatic hydrocarbon, chrysene contributed the largest proportion, accounting for 15.00% and 13.30% in sediment core 1 and sediment core 2 respectively. The vertical distribution of the total concentrations of 15 kinds polycyclic aromatic hydrocarbons exhibited a stagewise increasing trend, which closely corresponded with historical variations in the discharge volume of the Sheyang River Sluice, regional industrial development, and the implementation of environmental policies. Source apportionment revealed that the major contributors were vehicle emissions (45.00%), combustion of coal and natural gas (43.00%), and a mixed source of petroleum leakage and biomass burning (12.00%). Ecological risk assessment indicated relatively low overall risk levels, with benzoapyrene-equivalent toxic risks below 10% in all samples. Redundancy analysis showed that the contamination of polycyclic aromatic hydrocarbons was positively correlated with indicators of industrial and transportation activities, with socioeconomic factors explaining 98.36% of the variation in the contamination of polycyclic aromatic hydrocarbons. Specifically, 3-ring polycyclic aromatic hydrocarbons were positively associated with arable land area and rural population; 4-ring polycyclic aromatic hydrocarbons correlated with urban population and total highway mileage; 5-ring polycyclic aromatic hydrocarbons and 6-ring polycyclic aromatic hydrocarbons were significantly related to the total power of agricultural machinery, and 6-ring polycyclic aromatic hydrocarbons also exhibited a strong positive correlation with urban population. These results suggest that the accumulation of high molecular weight polycyclic aromatic hydrocarbons is primarily driven by urban population growth and vehicular emissions, while agricultural activities are more closely associated with the accumulation of low molecular weight polycyclic aromatic hydrocarbons. Overall, the sedimentary record of polycyclic aromatic hydrocarbons serves as an effective proxy for reconstructing historical trends in regional transportation and agro-industrial activity intensity.

     

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