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An evaluation method for thick oil film on sea surface based on band ratio method |
CUI Yong-qiang1,KONG De-ming2,KONG Ling-fu1,ZHANG Xiao-dan1,KONG De-han3,YUAN Li1,LI Chao1 |
1. School of Information Science and Engineering,Yanshan University,Qinhuangdao, Hebei 066004, China
2. School of Electrical Engineering, Yanshan University,Qinhuangdao, Hebei 066004,China
3. Hebei University of Environmental Engineering,Qinhuangdao, Hebei 066004,China |
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Abstract Oil spill has become one of the most serious problems of marine pollution, laser-induced fluorescence (LIF) technology is considered to be one of the most effective detection technologies for sea oil spill. At present, based on LIF, the oil film thickness inversion algorithm is only suitable for the thin oil film (≤20μm). In order to detect the thick oil film, a dual-band ratio model is proposed to evaluate the thickness of thick oil film, the wave characteristics of oil film fluorescence spectra are used to invert the thickness and the applicability of the method are given. The method is verified by experiments. When the oil film is thin, the inversion error is large, and it decreases gradually with the increase of the oil film thickness. When the oil film fluorescence signal tends to saturation, the inversion error is large and increases rapidly with the increase of the oil film thickness. The experimental results show that the algorithm can effectively evaluate the thickness of spill film in the range of 200~1400μm on the sea surface, and the relative error of the oil film fluorescence signal can be used to evaluate the applicability of the algorithm.
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Received: 31 March 2020
Published: 02 November 2020
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[1]李颖, 李冠男, 崔璨. 基于星载SAR的海上溢油检测研究进展 [J].海洋通报, 2017, 36 (3): 241-249.
Li Y, Li G N, Cui C. Research progress of oil spill detection based on the spaceborne SAR [J]. Marine Science Bulletin, 2017, 36 (3): 241-249.
[2]韩仲志, 刘杰, 刘康炜, 等. 紫外/可见光下海洋溢油油种光谱识别方法 [J].光学技术, 2016, 42 (4): 337-341.
Han Z Z, Liu J, Liu K W, et al. Oil spills classification based on spectrum under UV/Vis [J]. Optical Technique, 2016, 42 (4): 337-341.
[3]刘丙新, 张志达, 李颖, 等. 基于机载高光谱遥感数据的溢油信息提取方法 [J].大连海事大学学报, 2014, 40 (1): 89-92.
Liu B X, Zhang Z D, Li Y, et al. Extraction method of oil spill information using airborne hyper-spectral remote sensing data [J]. Journal of Dalian Maritime University, 2014, 40 (1): 89-92.
[4]Fingas M, Brown C E. Review of oil spill remote sensing [J]. Marine pollution bulletin, 2014, 83 (1): 9-23.
[5]刘德庆, 栾晓宁, 韩晓爽, 等. 原油样品激光诱导荧光的时间分辨光谱特性研究 [J].光谱学与光谱分析, 2015, 35 (6): 1582-1586.
Liu D Q, Luan X N, Han X S, et al. Characterization of Time-Resolved Laser-Induced Fluorescence from Crude Oil Samples [J]. Spectroscopy and Spectral Analysis, 2015, 35 (6): 1582-1586.
[6]陈鹏, 毛志华, 陶邦一, 等. 激光诱导荧光装置用于海水可溶性有机物测量 [J].红外与激光工程, 2018, 47 (9): 34-43.
Chen P, Mao Z H, Tao B Y, et al. Development of laser fluorometer system for CDOM measurements [J]. Infrared and Laser Engineering, 2018, 47 (9): 34-43.
[7]王书涛, 朱彩云, 刘洺辛, 等. 基于CS-SVM的山梨酸钾的荧光光谱检测法研究 [J].计量学报, 2018, 39 (5): 747-752.
Wang S T, Zhu C Y, Liu M X, et al. Study on Fluorescence Spectrometric Detection of Potassium Sorbate Based on CS-SVM [J]. Acta Metrologica Sinica, 2018, 39 (5): 747-752.
[8]Kung R T, Itzkan I. Absolute oil fluorescence conversi-on efficiency [J]. Applied optics, 1976, 15 (2): 409-415.
[9]吴希军, 田瑞玲, 杜德琴. 荧光谱及平行因子分析在芝麻油与芝麻香精鉴别中的应用 [J].计量学报, 2016, 37 (6): 657-662.
Wu X J, Tian R L, Du D Q. Application of fluoresc-ence spectra and parallel factor analysis to the discrimin-ation between sesame oil and sesame essence [J]. Acta Metrologica Sinica, 2016, 37 (6): 657-662.
[10]樊凤杰,轩凤来,白洋,纪会芳. 基于LLE-RF的中药三维荧光光谱分类识别[J].计量学报, 2020, 41(2): 263-268.
Fan F J,Xuan F L,Bai Y,et al. Classification Recognition of Three Dimensional Fluorescence Spectrum Traditional Chinese Medicine Based on LLE-RF[J].Acta Metrologica Sinica, 2020, 41(2): 263-268.
[11]Hoge F E. Oil film thickness using airborne laser-induced oil fluorescence backscatter [J]. Applied optics, 1983, 22 (21): 3316-3318.
[12]Li X L, Zhao C F, Ma Y J, et al. Field Experiments of Multi-Channel Oceanographic Fluorescence Lidar for Oil Spill and Chlorophyll-a Detection [J]. Journal of Ocean University of China, 2014, 13 (4): 597-603.
[13]陈澎. 机载激光荧光海上溢油信息提取与反演研究[D].大连:大连海事大学, 2012.
[14]陈宇男, 杨瑞芳, 赵南京, 等. 基于激光诱导荧光的溢油厚度定量检测实验研究 [J].光谱学与光谱分析, 2019, 39 (11): 3646-3652.
Chen Y N, Yang R F, Zhao N J, et al. Experimental Study on Quantitative Detection of Oil Slick Thickness Based on Laser-Induced Fluorescence [J]. Spectros-copy and Spectral Analysis, 2019, 39 (11): 3646-3652. |
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