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The application of laser‑induced fluorescence in oil spill detection
by
Li, Jing
, Wang, Zhanhu
, Zhang, Shubo
, Yuan, Yafei
in
Algorithms
/ Aquatic ecosystems
/ Aquatic Pollution
/ Aromatic compounds
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Data processing
/ Earth and Environmental Science
/ Ecological effects
/ Ecosystem
/ Ecotoxicology
/ Environment
/ Environmental Chemistry
/ Environmental Health
/ Environmental Monitoring - methods
/ Excitation
/ Fluorescence
/ Laser applications
/ Laser induced fluorescence
/ Lasers
/ Learning algorithms
/ Machine learning
/ Oil spills
/ oils
/ petroleum
/ Petroleum - analysis
/ Petroleum hydrocarbons
/ Petroleum Pollution - analysis
/ Petroleum products
/ Pollution detection
/ Polycyclic aromatic hydrocarbons
/ Polycyclic Aromatic Hydrocarbons - analysis
/ Qualitative analysis
/ quantitative analysis
/ Review Article
/ Terrestrial ecosystems
/ Waste Water Technology
/ Water Management
/ Water Pollutants, Chemical - analysis
/ Water Pollution Control
/ Wavelength
/ wavelengths
2024
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The application of laser‑induced fluorescence in oil spill detection
by
Li, Jing
, Wang, Zhanhu
, Zhang, Shubo
, Yuan, Yafei
in
Algorithms
/ Aquatic ecosystems
/ Aquatic Pollution
/ Aromatic compounds
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Data processing
/ Earth and Environmental Science
/ Ecological effects
/ Ecosystem
/ Ecotoxicology
/ Environment
/ Environmental Chemistry
/ Environmental Health
/ Environmental Monitoring - methods
/ Excitation
/ Fluorescence
/ Laser applications
/ Laser induced fluorescence
/ Lasers
/ Learning algorithms
/ Machine learning
/ Oil spills
/ oils
/ petroleum
/ Petroleum - analysis
/ Petroleum hydrocarbons
/ Petroleum Pollution - analysis
/ Petroleum products
/ Pollution detection
/ Polycyclic aromatic hydrocarbons
/ Polycyclic Aromatic Hydrocarbons - analysis
/ Qualitative analysis
/ quantitative analysis
/ Review Article
/ Terrestrial ecosystems
/ Waste Water Technology
/ Water Management
/ Water Pollutants, Chemical - analysis
/ Water Pollution Control
/ Wavelength
/ wavelengths
2024
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The application of laser‑induced fluorescence in oil spill detection
by
Li, Jing
, Wang, Zhanhu
, Zhang, Shubo
, Yuan, Yafei
in
Algorithms
/ Aquatic ecosystems
/ Aquatic Pollution
/ Aromatic compounds
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Data processing
/ Earth and Environmental Science
/ Ecological effects
/ Ecosystem
/ Ecotoxicology
/ Environment
/ Environmental Chemistry
/ Environmental Health
/ Environmental Monitoring - methods
/ Excitation
/ Fluorescence
/ Laser applications
/ Laser induced fluorescence
/ Lasers
/ Learning algorithms
/ Machine learning
/ Oil spills
/ oils
/ petroleum
/ Petroleum - analysis
/ Petroleum hydrocarbons
/ Petroleum Pollution - analysis
/ Petroleum products
/ Pollution detection
/ Polycyclic aromatic hydrocarbons
/ Polycyclic Aromatic Hydrocarbons - analysis
/ Qualitative analysis
/ quantitative analysis
/ Review Article
/ Terrestrial ecosystems
/ Waste Water Technology
/ Water Management
/ Water Pollutants, Chemical - analysis
/ Water Pollution Control
/ Wavelength
/ wavelengths
2024
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The application of laser‑induced fluorescence in oil spill detection
Journal Article
The application of laser‑induced fluorescence in oil spill detection
2024
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Overview
Over the past two decades, oil spills have been one of the most serious ecological disasters, causing massive damage to the aquatic and terrestrial ecosystems as well as the socio-economy. In view of this situation, several methods have been developed and utilized to analyze oil samples. Among these methods, laser-induced fluorescence (LIF) technology has been widely used in oil spill detection due to its classification method, which is based on the fluorescence characteristics of chemical material in oil. This review systematically summarized the LIF technology from the perspective of excitation wavelength selection and the application of traditional and novel machine learning algorithms to fluorescence spectrum processing, both of which are critical for qualitative and quantitative analysis of oil spills. It can be seen that an appropriate excitation wavelength is indispensable for spectral discrimination due to different kinds of polycyclic aromatic hydrocarbons’ (PAHs) compounds in petroleum products. By summarizing some articles related to LIF technology, we discuss the influence of the excitation wavelength on the accuracy of the oil spill detection model and proposed several suggestions on the selection of excitation wavelength. In addition, we introduced some traditional and novel machine learning (ML) algorithms and discussed the strengths and weaknesses of these algorithms and their applicable scenarios. With an appropriate excitation wavelength and data processing algorithm, it is believed that laser-induced fluorescence technology will become an efficient technique for real-time detection and analysis of oil spills.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
Subject
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