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基于三维荧光光谱和主成分分析的溢油风化研究
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Research on the Weathering of Spilled Oil through the Combination of 3D Fluorescence Spectroscopy and Principle Component Analysis
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    通过开展风化模拟实验,探讨了油品三维荧光光谱特征的风化变化规律.将油样三维荧光光谱转化为矢量,计算特征峰强度比值,并对矢量数据进行主成分分析.分析了不同风化时间光谱数据、特征峰强度比值和主成分分析因子得分的变化.结果表明,风化过程不会改变油样三维荧光光谱的分布特征,但能改变荧光特征峰的相对强度,变化趋势与特征峰的位置有关.特征峰强度比值和第一主成分因子得分的变化分为水面、水下2个阶段,可能与风化机理不同有关.溢油源鉴定中,可以综合使用荧光特征峰比值、第一主成分因子得分2个参数,作为油样风化程度的判定依据.

    Abstract:

    Simulated weathering experiments on crude oil were carried out to investigate the changes in the fluorescence fingerprint characteristics of crude oil caused by weathering processes. The excitation-emission matrix fluorescence spectra of crude oil were analyzed in the peak-ratio method and principal component analysis. The research results showed that weathering had no effect on the fluorescence spectra fingerprinting characters, but had effect on the relative intensity of peaks, whose changing direction was determined by peak location. Changes of the peak intensity ratios and the score of Principle Component 1(PC1) were separated in two stages (on the water surface or in the water), which might be brought about by different weathering mechanisms. Peak intensity ratios and the score of PC1 could be simultaneously used to determine the extent of weathering in oil fingerprint identification.

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尹晓楠,张海江,周洪洋,秦志江,郭恩桥,王江涛.基于三维荧光光谱和主成分分析的溢油风化研究[J].湖南大学学报:自然科学版,2012,39(8):57~60

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