Research on marine oil spill pollution detection based on laser raman spectroscopy

Minmin Zhang; Yangning Guo; Fen Hu; Zhe Liu; Jiulin Shi; Xingdao He

doi:10.1117/12.2553074

31 January 2020 Research on marine oil spill pollution detection based on laser raman spectroscopy

Minmin Zhang, Yangning Guo, Fen Hu, Zhe Liu, Jiulin Shi, Xingdao He

Proceedings Volume 11427, Second Target Recognition and Artificial Intelligence Summit Forum; 114273X (2020) https://doi.org/10.1117/12.2553074
Event: Second Target Recognition and Artificial Intelligence Summit Forum, 2019, Changchun, China

Abstract

Aiming at the problem of oil pollution, a method based on laser Raman spectroscopy to identify oil spill is proposed in this paper. The respective Raman characteristic spectral regions were extracted from the Raman information of the biodiesel and diesel collected by the experiment. Principal component analysis (PCA) was used for identification, and partial least squares (PLS) regression was used to quantitatively analyze the mixed fuel.

Citation Download Citation

Minmin Zhang, Yangning Guo, Fen Hu, Zhe Liu, Jiulin Shi, and Xingdao He "Research on marine oil spill pollution detection based on laser raman spectroscopy", Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 114273X (31 January 2020); https://doi.org/10.1117/12.2553074

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