应用非负因子分析解析沉积物中多环芳烃的来源：以大连湾为例。

Institute of Eco-Environmental Sciences, Liaoning Shihua University, Fushun 113001, China.

National & Local United Engineering Laboratory of Petroleum Chemical Process Operation, Optimization and Energy Conservation Technology, Liaoning Shihua University, Fushun 113001, China.

Int J Environ Res Public Health. 2018 Apr 16;15(4):761. doi: 10.3390/ijerph15040761.

An improved method, factor analysis with non-negative constraints (FA-NNC) was adopted to apportion the sources of sediment polycyclic aromatic hydrocarbons (PAHs) in Dalian Bay, China. Cosine similarity and Monte Carlo uncertainty analysis were used to assist the FA-NNC source resolution. The results identified three sources for PAHs, which were overall traffic, diesel engine emissions and residential coal combustion. The contributions of these sources were quantified as 78 ± 4.6% from overall traffic, 12 ± 3.2% from diesel engine emissions, and 10 ± 1.9% from residential coal combustion. The results from the Monte Carlo uncertainty analysis indicated that the model was robust and convergent.

采用改进的方法，即具有非负约束的因子分析（FA-NNC），对中国大连湾沉积物多环芳烃（PAHs）的来源进行了解析。采用余弦相似度和蒙特卡罗不确定性分析来辅助 FA-NNC 的源解析。结果确定了 PAHs 的三个来源，分别是交通总体排放、柴油机排放和民用煤燃烧。这些来源的贡献分别被量化为交通总体排放占 78 ± 4.6%，柴油机排放占 12 ± 3.2%，民用煤燃烧占 10 ± 1.9%。蒙特卡罗不确定性分析的结果表明，该模型是稳健和收敛的。