正定矩阵因子分解和非负约束因子分析用于大辽河沉积物中多环芳烃源解析的比较研究

正定矩阵因子分解(PMF)和非负约束因子分析(FA-NNC)是用于污染物源解析的两种较为先进的方法. 本研究将PMF和FA-NNC成功用于中国大辽河流域沉积物中多环芳烃(PAHs)的来源解析, 并比较两个模型得到的来源类型与贡献. 两种模型对于多环芳烃来源的判定有一致的结果, 分别是燃煤、生物质燃烧、交通和炼焦, PMF得到4个源的贡献率依次是43.3%, 24.3%, 16.7%, 15.7%; 与之对应, FA-NNC得到的贡献率为50.4%, 21.9%, 15.7%, 12.0%. PMF和FA-NNC对多环芳烃主要来源的判定结果与比值法、排放清单的结果基本一致, 且与辽宁省能源结构相符.

Source apportionment of polycyclic aromatic hy-drocarbons in sediments of the Daliao River, China: Positive matrix factorization and factor analysis with non-negative constraints

Two receptor models, positive matrix factorization (PMF) and factor analysis with non-negative constraints (FA-NNC), were applied for source apportionment of polycyclic aromatic hydrocarbons (PAHs) in sediments of the Daliao River, China. The source profiles and source contributions derived from the two receptor models were comparable. For PMF, PAHs mainly came from coal combustion (43.3%), followed by biomass burning (24.3%), traffic emissions (16.7%) and coke oven (15.7%). As for FA-NNC, coal combustion (50.4%) was dominant, followed by biomass burning (21.9%), traffic emission (15.7%) and coke oven (12.0%). The source apportionment results are consistent with the results from the specific PAH diagnostic ratios and emission inventory analysis. In addition, the source apportionment results are consistent with the structure of energy material usage in Liaoning province of China.