WANG Difeng, PAN Delu, GONG Fang, WANG Tianyu, ZHAN Yuanzeng. An oil slick spectral experiment of nearshore sea water in the East China Sea[J]. Acta Oceanologica Sinica, 2013, 32(11): 34-40. doi: 10.1007/s13131-013-0375-4
Citation: WANG Difeng, PAN Delu, GONG Fang, WANG Tianyu, ZHAN Yuanzeng. An oil slick spectral experiment of nearshore sea water in the East China Sea[J]. Acta Oceanologica Sinica, 2013, 32(11): 34-40. doi: 10.1007/s13131-013-0375-4

An oil slick spectral experiment of nearshore sea water in the East China Sea

doi: 10.1007/s13131-013-0375-4
  • Received Date: 2012-06-04
  • Rev Recd Date: 2013-10-14
  • Alongwith the rapid advance in global industrialization,oil spill events caused by offshoreoperations, transportation and accidents are increasing. Compared with ship surveys, monitoring oil spills through remote sensing has real-time, comprehensive, low-cost advantages,which can effectively guide cleaning and evaluation, and reduce themarine ecological destruction resulting fromoil spills. Therefore, studying the remote sensing mechanism used to monitor marine oil spills is of great significance for ecological environmental protection. This paper describes an experiment and corresponding analysis based on the above-water method, using the East China Sea coastal turbid water. The analysis shows that "upward short-wave" in ultraviolet and blue-purple bands and its displacement, along with the changing thickness, are important characteristics for distinguishing between the oil slick and the sea water, and also to differentiate oil slicks of different thicknesses. Fromblue to near-infrared bands, the spectrumof lube oil is flatter than that of diesel, and the diesel spectrumrises faster than the lube spectrumon the right side of the trough at 400 nm. These two features forman important basis for differentiating diesel fromlube oil. These analyses will further the development of oil spill remote sensing in the East China Sea.
  • loading
  • 908 Porject Office of State Oceani Administration. 2004. Technical Regulations of Oceanic Optical Survey (in Chinese). Beijing: China Ocean Press
    Byfield Valborg. 1998. Optical Remote Sensing of Oil in the Marine Environment [dissertation]. Southampton: University of Southampton, United Kingdom.
    Carnesecchi F, Byfield V, Cipollini P, et al. 2008. An optical model for the interpretation of remotely sensed multispectral images of oil spill. In: Bostater, Charles R, Mertikas, et al., eds. Remote Sensing of the Ocean, Sea Ice, and Large Water Regions.
    Bellingham, USA: International Society for Optical Engineering, 710504. (Proceedings of SPIE 7105)
    FingasMF, Brown C. 1997. Review of oil spill remote sensing. Spill Sci Technol Bull, 4(4): 199-208
    Gao Zhenhui, Yang Jianqiang, Wang Peigang, et al. 2007. Assessing of ecological damage by oceanic oil spill-theory, methods and case study (in Chinese). Beijing: China Ocean Press, 1-20
    Guillem Chust, Yolanda Sagarminaga. 2007. The multi-angle view of MISR detects oil slicks under sun glitter conditions. Remote Sensing of Environment. 107(5): 232-239
    Lu Yingcheng, Li Xiang, Tian Qingjiu, et al. 2012. An optical remote sensing model for estimating oil slick thickness based on twobeaminterference theory. Optics Express, 20(22): 24496-24504
    Lu Yingcheng, Li Xiang, Tian Qingjiu, et al. 2013. Progress in Marine Oil Spill Optical Remote Sensing: Detected Targets, Spectral Response Characteristics, and Theories. Marine Geodesy, 36(3): 334-346
    Lu Yingcheng, Tian Qingcheng, Li Xiang. 2011. The remote sensing inversion theory of offshore oil slick thickness based on a twobeaminterference model. Sci China Earth Sci, 54(5): 678-685
    Lu Yingcheng, Tian Qingjiu,Wang Jingjing, et al. 2008. Study on spectral responses of offshore oil slicks experiment. Chinese Sci Bull, 53(24): 3937-3941
    Lu Yingcheng, Tian Qingjiu, Wang Xinyuan, et al. 2013. Determining oil slick thickness using hyperspectral remote sensing in the Bohai Sea of China, International Journal of Digital Earth, 6(1): 76-93
    Millard J P, Arvesen J C. 1972. Airborne Optical Detection of Oil on Water. Applied Optics, 11(1): 102-107
    Otremba Z, Piskozub J. 2001. Modelling of the optical contrast of an oil filmon a sea surface. Optics Express, 9(8): 411-416
    Otremba Z, Piskozub J. 2004. Modeling the bidirectional reflectance distribution function (BRDF) of seawater polluted by an oil film. Optics Express, 12(8): 1671-1676
    Tang Junwu, Tian Guoliang, Wang Xiaoyong, et al. 2004. The Methods of Water Spectra Measurement and Analysis I: Above-Water Method. Journal of Remote Sensing (in Chinese), 8(1): 37-44
    Wei Tongzhou. 2010. There is an oil spill occurred every four days in Chinese coastal area (in Chinese). Beijing: http://energy.people.com.cn/GB/12251729.html
    Yang Chan-Su, Park Seong-Min, Oh Yisok, et al. 2013. An analysis of the radar backscatter from oil-covered sea surfaces using momentmethod andMonte-Carlo simulation: preliminary results. Acta Oceanologica Sinica, 32(1): 59-67
    Zhang Yongning, Ding Qian, Li Qijun. 1999. A study on monitoring of oil spill at sea by satellite remote sensing. Journal of Dalian Maritime University (in Chinese), 25(3): 1-5
    Zhao Dongzhi, Cong Peifu. 2000. The Research of Visual Light Waveband Feature Spectrumof Sea- surfaceOil Spill. Remote Sensing Technology and Application (in Chinese), 15(3): 160-164
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1106) PDF downloads(1391) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return