| 王瑞琦,陆 敏,杨 毅,刘 敏,于英鹏,汪 青.非负约束因子分析和PMF模型解析黄浦江表层沉积物中多环芳烃的来源[J].农业环境科学学报,2014,33(8):1617-1624. |
| 非负约束因子分析和PMF模型解析黄浦江表层沉积物中多环芳烃的来源 |
| Source Apportionment of Polycyclic Aromatic Hydrocarbons（PAHs） in the Surface Sediments of Huangpu River（China） Using Factor Analysis with Nonnegative Constraints and Positive Matrix Factorization（PMF） |
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| DOI：10.11654/jaes.2014.08.021 |
| 中文关键词: 源解析 非负约束因子分析 PMF 多环芳烃 |
| 英文关键词: source apportionment factor analysis with nonnegative constraints（FA-NNC） positive matrix factorization（PMF） polycyclic aromatic hydrocarbons（PAHs） |
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| 中文摘要: |
| 采用GC/MS对黄浦江表层20个沉积物样品中的16种PAHs进行定量分析，得到沉积物中总PAHs含量为0.723~38.541 μg·g-1，其中3环和4环所占比例较高，部分样品中总PAHs含量超过了风险评价低值（ER-L或ISQV-L），对该区水生生物具有潜在不利影响。运用非负约束因子分析法（FA-NNC）和PMF模型，分析黄浦江表层沉积物中多环芳烃的污染源类型及源的贡献率。PMF和FA-NNC分析得到三个主因子，并且各自得到的总PAHs浓度预测值和实测值拟合较好，相关系数分别为0.987 4 和0.999 6。两种模型对于PAHs 的来源有较为一致的判定结果，分别是交通源、燃煤和生物质燃烧源、炼焦源。由FA-NNC得到的3个源的贡献率依次为交通源71.3%，燃煤和生物质燃烧源12.0%，炼焦16.6%；与之对应，PMF得到的源贡献率依次为57.6%、32.1%、10.3%。 |
| 英文摘要: |
| Understanding sources of environmental pollutants is critical to environmental management and pollutant control. In this study, 16 polycyclic aromatic hydrocarbons（PAHs） in 20 surface sediment samples from Huangpu River, China were quantitatively studied using GC/MS based on US EPA 8270C method. Factor analysis with nonnegative constraints（FA-NNC） and positive matrix factorization（PMF） were employed to identify the sources and their contributions of PAHs. The total PAHs concentrations ranged from 0.723 μg·g-1 to 38.541 μg·g-1, The PAHs with 3~4 rings were the main components of the PAHs. In some sediment samples, the total concentrations of PAHs exceeded the low risk value（ER-L or ISQV-L）, which may cause potential adverse effects on aquatic organisms in this area. Both FA-NNC and PMF obtained similar results on PAHs sources. Three main sources of the PAHs in the surface sediments of Huangpu River were identified as traffic emission, biomass/coal combustion and coking. Their contribution percentages were respectively 71.3%, 12% and 16.6% obtained from FA-NNC, and 57.6%, 32.1% and 10.3% from PMF. |
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