A New Approach of Oil Spill Detection Using Time-Resolved LIF Combined with Parallel Factors Analysis for Laser Remote Sensing.
A New Approach of Oil Spill Detection Using Time-Resolved LIF Combined with Parallel Factors Analysis for Laser Remote Sensing.
复制标题
时间分辨LIF结合激光遥感并行因子分析的溢油检测新方法
DOI：
10.3390/s16091347
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发表时间：
2016-08-23
期刊：
影响因子：
--
通讯作者：
Zheng R
中科院分区：
文献类型：
--
作者：
Liu D;Luan X;Guo J;Cui T;An J;Zheng R
为了开发一种用于激光遥感溢油检测的方法，利用时间分辨荧光结合平行因子分析(PARAFAC)对一系列成品油和原油样品进行了研究。这些样品的时间分辨发射光谱是由实验室激光遥感系统获取的，探测距离为5m，根据强度归一化光谱，成品油和原油样品都采用四平行因子PARAFAC方法进行了无重叠的分类。主成分分析(PCA)也被用作比较。结果表明，主成分分析在广义油类分类中效果较好，但不同油井的原油样本之间存在严重的重叠。PARAFAC除了具有较高的正确识别率外，还具有实时能力，这一优势在现场应用中尤为明显。研究结果表明，时间分辨荧光与PARAFAC相结合的方法在溢油现场检测和识别中具有潜在的应用前景。
In hope of developing a method for oil spill detection in laser remote sensing, a series of refined and crude oil samples were investigated using time-resolved fluorescence in conjunction with parallel factors analysis (PARAFAC). The time resolved emission spectra of those investigated samples were taken by a laser remote sensing system on a laboratory basis with a detection distance of 5 m. Based on the intensity-normalized spectra, both refined and crude oil samples were well classified without overlapping, by the approach of PARAFAC with four parallel factors. Principle component analysis (PCA) has also been operated as a comparison. It turned out that PCA operated well in classification of broad oil type categories, but with severe overlapping among the crude oil samples from different oil wells. Apart from the high correct identification rate, PARAFAC has also real-time capabilities, which is an obvious advantage especially in field applications. The obtained results suggested that the approach of time-resolved fluorescence combined with PARAFAC would be potentially applicable in oil spill field detection and identification.
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影响因子：
5.3
作者：
Pantoja, Patricia A.;Lopez-Gejo, Juan;Nascimento, Claudio A. O.
通讯作者：
Nascimento, Claudio A. O.
影响因子：
5.8
作者：
Brown, CE;Fingas, MF
通讯作者：
Fingas, MF
影响因子：
7.4
作者：
Christensen, JH;Hansen, AB;Andersen, O
通讯作者：
Andersen, O
DOI：
10.1080/02772247809356924
发表时间：
1978-01-01
期刊：
Toxicological and Environmental Chemistry Reviews
影响因子：
--
作者：
FRANK U
通讯作者：
FRANK U
影响因子：
5.5
作者：
Mendoza, Wilson G.;Riemer, Daniel D.;Zika, Rod G.
通讯作者：
Zika, Rod G.