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浓度层析荧光光谱局部匹配溢油鉴别技术
摘要点击 1500  全文点击 1096  投稿时间:2013-02-07  修订日期:2013-06-25
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中文关键词  荧光光谱  浓度参量同步荧光光谱(CSMF)  溢油  原油相关样品  油种鉴别
英文关键词  fluorescence fingerprinting  concentration-synchronous-matrix-fluorescence (CSMF)  oil spill  petroleum related samples  oil species identification
作者单位E-mail
王春艳 北京师范大学资源环境学院, 北京 100875
潍坊学院物理与电子科学学院, 潍坊 261061
中国海洋大学光学光电子实验室, 青岛 266100 
wangcy@bnu.edu.cn 
史晓凤 中国海洋大学光学光电子实验室, 青岛 266100  
李文东 中国海洋大学光学光电子实验室, 青岛 266100  
张金亮 北京师范大学资源环境学院, 北京 100875  
中文摘要
      溢油事故的频繁发生对海洋环境造成极大的影响,建立一种快速、准确、经济的现场溢油检测技术及时对事故作出响应有着重要的意义. 针对海洋环境中溢油样品浓度和油源都未知的情况,对于溢油可疑样本,获取其浓度参量同步荧光光谱(concentration-synchronous-matrix fluorescence,CSMF),通过在浓度维度上进行插值处理获取的样品的CSMF浓度层析荧光光谱. 而对于肇事溢油样品,无需进行脱水浓缩等预处理,只需取现场样本逐级稀释获取小浓度范围内的CSMF局部谱图,并将之与可疑油样大浓度范围内的CSMF浓度层析荧光光谱进行曲面匹配,利用最小二乘法确定最佳匹配光谱,最佳匹配的可疑油样即满足最近油种符合度,而对应的浓度即为待测样本的初始浓度值. 对原油样品集交叉检验的结果,样品的识别准确度为92%. 该油种鉴别方法快速,准确,并可以同时实现油种鉴别和单位体积内溢油含量的定量.
英文摘要
      Oil spills occur every day worldwide. It is urgently required to develop a rapid, cost-effective, accurate, easy to use routinely fingerprinting technique which could offer decision-makers and model developers the preliminary information of spilled oils in a short period. In this paper, a species identification and concentration quantification technique using partial surface fitting method to concentration-synchronous-matrix-fluorescence (CSMF) spectra was introduced. In order to eliminate the errors due to concentration uncertainty, partial CSMF spectra in the small concentration range of the test oil spill samples were obtained, and for the oil spill candidate samples,the two-dimensional cubic convolution interpolation was used to make up the long interval of the concentration level. With the surface fitting of partial CSMF spectra of the test samples and the closely-related source crude oil samples were successfully discriminated, and the initial concentration of the test samples were also obtained. Cross validation results of the petroleum related sample set showed that the accuracy of the matching results was 92%. The parameters of this method were also discussed in detail. All results showed that this newly-developed method may become a more specifically applicable means in spilled oils identification.

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