|
|
|
|
|
|
| Research of Identification Method for the Oil Spills Species Based on Fluorescence Excitation-Emission Matrix and Parallel Factor Analysis |
| ZHOU Yan-lei1, ZHOU Fei-fei1, JIANG Cong-cong1, SHI Xiao-yong1，2*, SU Rong-guo1 |
1. College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao 266100，China
2. National Marine Hazard Mitigation Service, Beijing 100194, China |
|
|
|
|
Abstract Accidental oil spills occur frequently around the world and they can have serious influence on the human health and the ecosystem due to the compounds in oil. Thus, there is an urgent need for an accurate method for determining the source of spills. In order to meet the rapidly demand identifying methods of oil spills, this paper utilized parallel factor analysis to develop an identification method for the crude oils and fuel oils based on their fluorescence excitation-emission matrixes. Firstly, the fluorescence excitation-emission matrixes of six kinds of crude oils (Roncador crude oil, Basra crude oil, Russian crude oil, Saudi crude oil (heavy crude oil), Upper Zakum crude oil, sea two station crude oil) and three kinds of fuel oils (380 CST fuel oil, Fuel oils No.5—No.7, LanShan fuel oil) were normalized after removing scatter by Blannany triangulation with linear interpolation. Afterwards, the parallel factor analysis was used for the fluorescence excitation-emission matrixes. Seven factors can be reliably extracted from the data set, and then seven fluorescence components were obtained, which made up the characteristic spectrum. By clustering analysis and Bayesian Discrimination of the characteristic spectrum from the samples that had experienced weathered for 3, 15 and 45 days and not experienced weathered, the capacity of the oil fluorescence spectrum analysis was determined and the fluorescence feature spectra library consisted of 12 standard fluorescence spectra of crude oils and 6 standard fluorescence spectra of fuel oils was established. In the end, multiple linear regression was used to recognize the samples that had experienced weathered for 0, 7 and 30 days by the oil standard fluorescence spectra. The results showed that, except for Russian crude oil, the method could clearly classify 5 kinds of crude oils and 3 kinds of fuel oils which had experienced weathered and had not experienced. Furthermore, the accuracy of the identification for crude oils and fuel oils were 100.0%, and the overall accuracy of the identification for crude oils and fuel oils were 87.5% and 100%, respectively.
|
|
Received: 2016-10-10
Accepted: 2017-02-05
|
|
|
|
Corresponding Authors:
SHI Xiao-yong
E-mail: shixy@ouc.edu.cn
|
|
[1] Darcy A Chase, Donn S Edwards, Qin Guangqiu, et al. Science of the Total Environment, 2013，(444): 121.
[2] Chen H, Liu S, Xu X R, et al. Marine Pollution Bulletin, 2015, 90(1-2): 181.
[3] LIU Xiao-jing, WU Xiao-yan, QI Cai-ya, et al(刘小静，吴晓燕，齐彩亚，等). Hebei Journal of Industrial Science and Technology(河北工业科技), 2012, 29(6)：422.
[4] YIN Xiao-nan, ZHANG Hai-jiang, ZHOU Hong-yang, et al(尹晓楠, 张海江, 周洪洋，等). Journal of Hunan University·Natural Sciences(湖南大学学报·自然科学版), 2012, 39(8): 57.
[5] GAN Su-chai, WU Ying, BAO Hong-yan, et al(甘肃钗，吴 莹，鲍红艳，等). China Environmental Science(中国环境科学), 2013, 33(6): 1045.
[6] Guo Weidong, Xu Jing, Wang Jiangjing, et al. Journal of Environmental Sciences, 2010, 22(11): 1728.
[7] Mendoza W G, Riemer D D, Zika R G. Environmental Sciences Processes & Impacts, 2013, 15(5): 1017.
[8] Christensen J H, Hansen A B, Mortensen J, et al. Analytical Chemistry, 2005, 77(7): 2210.
[9] Omrani H, Barnes J A, DudelzakA E, et al. Analyst, 2012, 137(12): 2782. |
| [1] |
LEI Hong-jun1, YANG Guang1, PAN Hong-wei1*, WANG Yi-fei1, YI Jun2, WANG Ke-ke2, WANG Guo-hao2, TONG Wen-bin1, SHI Li-li1. Influence of Hydrochemical Ions on Three-Dimensional Fluorescence
Spectrum of Dissolved Organic Matter in the Water Environment
and the Proposed Classification Pretreatment Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 134-140. |
| [2] |
XIA Ming-ming1, 2, LIU Jia3, WU Meng1, 2, FAN Jian-bo1, 2, LIU Xiao-li1, 2, CHEN Ling1, 2, MA Xin-ling1, 2, LI Zhong-pei1, 2, LIU Ming1, 2*. Three Dimensional Fluorescence Characteristics of Soluble Organic Matter From Different Straw Decomposition Products Treated With Calcium Containing Additives[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 118-124. |
| [3] |
GU Yi-lu1, 2，PEI Jing-cheng1, 2*，ZHANG Yu-hui1, 2，YIN Xi-yan1, 2，YU Min-da1, 2, LAI Xiao-jing1, 2. Gemological and Spectral Characterization of Yellowish Green Apatite From Mexico[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 181-187. |
| [4] |
SONG Yi-ming1, 2, SHEN Jian1, 2, LIU Chuan-yang1, 2, XIONG Qiu-ran1, 2, CHENG Cheng1, 2, CHAI Yi-di2, WANG Shi-feng2，WU Jing1, 2*. Fluorescence Quantum Yield and Fluorescence Lifetime of Indole, 3-Methylindole and L-Tryptophan[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3758-3762. |
| [5] |
YANG Ke-li1, 2, PENG Jiao-yu1, 2, DONG Ya-ping1, 2*, LIU Xin1, 2, LI Wu1, 3, LIU Hai-ning1, 3. Spectroscopic Characterization of Dissolved Organic Matter Isolated From Solar Pond[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3775-3780. |
| [6] |
HUANG Li, MA Rui-jun*, CHEN Yu*, CAI Xiang, YAN Zhen-feng, TANG Hao, LI Yan-fen. Experimental Study on Rapid Detection of Various Organophosphorus Pesticides in Water by UV-Vis Spectroscopy and Parallel Factor Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3452-3460. |
| [7] |
XUE Fang-jia, YU Jie*, YIN Hang, XIA Qi-yu, SHI Jie-gen, HOU Di-bo, HUANG Ping-jie, ZHANG Guang-xin. A Time Series Double Threshold Method for Pollution Events Detection in Drinking Water Using Three-Dimensional Fluorescence Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3081-3088. |
| [8] |
JIA Yu-ge1, YANG Ming-xing1, 2*, YOU Bo-ya1, YU Ke-ye1. Gemological and Spectroscopic Identification Characteristics of Frozen Jelly-Filled Turquoise and Its Raw Material[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2974-2982. |
| [9] |
YANG Xin1, 2, XIA Min1, 2, YE Yin1, 2*, WANG Jing1, 2. Spatiotemporal Distribution Characteristics of Dissolved Organic Matter Spectrum in the Agricultural Watershed of Dianbu River[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2983-2988. |
| [10] |
ZHU Yan-ping1, CUI Chuan-jin1*, CHENG Peng-fei1, 2, PAN Jin-yan1, SU Hao1, 2, ZHANG Yi1. Measurement of Oil Pollutants by Three-Dimensional Fluorescence
Spectroscopy Combined With BP Neural Network and SWATLD[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2467-2475. |
| [11] |
QIU Cun-pu1, 2, TANG Xiao-xue2, WEN Xi-xian4, MA Xin-ling2, 3, XIA Ming-ming2, 3, LI Zhong-pei2, 3, WU Meng2, 3, LI Gui-long2, 3, LIU Kai2, 3, LIU Kai-li4, LIU Ming2, 3*. Effects of Calcium Salts on the Decomposition Process of Straw and the Characteristics of Three-Dimensional Excitation-Emission Matrices of the Dissolved Organic Matter in Decomposition Products[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2301-2307. |
| [12] |
ZHANG Xin-yuan1, LI Yan2, WEI Dan1, 2*, GU Jia-lin2, JIN Liang2, DING Jian-li2, HU Yu1, ZHANG Xin-yuan1, YANG Hua-wei1. Effect of Rainfall Runoff on DOM Fluorescence of Soil on a Typical Slope Under Vegetation Cover[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1921-1926. |
| [13] |
SHI Chuan-qi1, LI Yan2, HU Yu3, YU Shao-peng1*, JIN Liang2, CHEN Mei-ru1. Fluorescence Spectral Characteristics of Soil Dissolved Organic Matter in the River Wetland of Northern Cold Region, China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1517-1523. |
| [14] |
JIANG Xin-tong1, 2, 3, XIAO Qi-tao3, LI Yi-min1, 2, LIAO Yuan-shan1, 2, LIU Dong3*, DUAN Hong-tao1, 2, 3*. Temporal and Spatial Effects of River Input on Dissolved Organic Matter Composition in Lake Bosten[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1636-1644. |
| [15] |
LI Yuan-jing1, 2, CHEN Cai-yun-fei1, 2, LI Li-ping1, 2*. Spectroscopy Study of γ-Ray Irradiated Gray Akoya Pearls[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1056-1062. |
|
|
|
|
