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

Autor:	Fen Hu, Jiulin Shi, Yangning Guo, Minmin Zhang, Xingdao He, Zhe Liu
Rok vydání:	2020
Předmět:	Pollution Biodiesel media_common.quotation_subject Laser raman spectroscopy Mineralogy Diesel fuel symbols.namesake Principal component analysis Oil spill Partial least squares regression symbols Environmental science Physics::Atomic Physics Physics::Chemical Physics Raman spectroscopy media_common
Zdroj:	Second Target Recognition and Artificial Intelligence Summit Forum.
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c1b8a97bd650aa33c825b9f1e24f8a72 https://doi.org/10.1117/12.2553074 Zobrazit plný text záznamu