Source Apportionment of Polycyclic Aromatic Hydrocarbons in Sediment by the Application of Non-Negative Factor Analysis: A Case Study of Dalian Bay

Fu-Lin Tian, Fa-Yun Li, Wang De-Gao and Yan-Jie Wang
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Fu-Lin Tian: Institute of Eco-Environmental Sciences, Liaoning Shihua University, Fushun 113001, China
Fa-Yun Li: Institute of Eco-Environmental Sciences, Liaoning Shihua University, Fushun 113001, China
Wang De-Gao: School of Environmental Science and Engineering, Dalian Maritime University, Dalian 116026, China
Yan-Jie Wang: Institute of Eco-Environmental Sciences, Liaoning Shihua University, Fushun 113001, China

IJERPH, 2018, vol. 15, issue 4, 1-9

Abstract: 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.

Keywords: receptor model; statistical analysis; coastal area; organic pollutants (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
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