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

Author

Listed:
  • Fu-Lin Tian

    (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)

  • Fa-Yun Li

    (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)

  • De-Gao Wang

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

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.

Suggested Citation

  • Fu-Lin Tian & Fa-Yun Li & De-Gao Wang & Yan-Jie Wang, 2018. "Source Apportionment of Polycyclic Aromatic Hydrocarbons in Sediment by the Application of Non-Negative Factor Analysis: A Case Study of Dalian Bay," IJERPH, MDPI, vol. 15(4), pages 1-9, April.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:4:p:761-:d:141178
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