Acta Oceanologica Sinica

, Volume 36, Issue 1, pp 73–79 | Cite as

Characteristics of the sea ice reflectance spectrum polluted by oil spills based on field experiments in the Bohai Sea

  • Jinlong Chao
  • Chengyu Liu
  • Ying Li
  • Xia Lin
  • Yu Yan
Article
First Online:
Received:
Accepted:

Abstract

Oil spilled on the sea ice surface in the Bohai Sea of China is studied through the field measurements of the reflectance of a simulated sea ice-oil film mixed pixel. The reflection characteristics of sea ice and oil film are also analyzed. It is found that the mixed pixel of sea ice and oil film is a linear mixed pixel. The means of extracting sea ice pixels containing oil film is presented using a double-band ratio oil-film sea-ice index (DROSI) and a normalized difference oil-film sea-ice index (NDOSI) through the analysis of the reflectance curves of the sea iceoil film pixel for different ratios of oil film. The area proportion of the oil film in the sea ice-oil film pixel can be accurately estimated by the average reflectance of the band of 1 610–1 630 nm, and the volume of the spilled oil can be further estimated. The method of the sea ice-oil film pixel extraction and the models to estimate the proportion of oil film area in the sea ice-oil film pixel can be applied to the oil spill monitoring of the ice-covered area in the Bohai Sea using multispectral or hyperspectral remote sensing images in the shortwave infrared band (1 500–1 780 nm).

Key words

remote sensing sea ice the Bohai Sea of China oil spill mixed pixel 
This is a preview of subscription content, log in to check access.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. China Council for International Cooperation on Environment and Development(CCICED). 2011. Ecosystem Management and Green Development: CCICED Annual Policy Report (2010)–Chapter 4: Ecosystem Issues and Policy options addressing the sustainable development of China’s Ocean and Coasts. Beijing: China Environmental Science Press, http://www.cciced.net/encciced/event/AGM_1/2010AGM/proceedings/201205/P0201 20524369065861990.pdfGoogle Scholar
  2. Del Frate F, Petrocchi A, Lichtenegger J, et al. 2000. Neural networks for oil spill detection using ERS–SAR data. IEEE Transactions on Geoscience & Remote Sensing, 38(5): 2282–2287CrossRefGoogle Scholar
  3. Dickins D F, Buist I. 1999. Countermeasures for ice covered waters. Pure and Applied Chemistry, 71(1): 173–191CrossRefGoogle Scholar
  4. Fan K, Zhang Y, Lin H. 2010. Satellite SAR analysis and interpretation of oil spill in the offshore water of Hong Kong. Annals of GIS, 16(4): 269–275CrossRefGoogle Scholar
  5. Free A P, Cox J C, Schultz L A 1981. Laboratory studies of oil spill behavior in broken ice fields. Laboratory TestsGoogle Scholar
  6. Garcia–Pineda O, Zimmer B, Howard M, et al. 2009. Using SAR images to delineate ocean oil slicks with a texture–classifying neural network algorithm (TCNNA). Canadian Journal of Remote Sensing, 35(5): 411–421CrossRefGoogle Scholar
  7. Getman J, Schultz L. 1976. Tests of Oil Recovery Devices in a Broken Ice Field. The Eighth Offshore Technology ConferenceGoogle Scholar
  8. Guo Xiaozhe. 2012. World Offshore Petroleum Development History (in Chinese). Beijing: China Petroleum Industry PressGoogle Scholar
  9. Guo Jie, Liu Xin, Xie Qiang. 2013. Characteristics of the Bohai Sea oil spill and its impact on the Bohai Sea ecosystem. Chinese Science Bulletin, 58(19): 2276–2281CrossRefGoogle Scholar
  10. Jha M N, Levy J, Gao Yang. 2008. Advances in remote sensing for oil spill disaster management: state–of–the–art sensors technology for oil spill surveillance. Sensors, 8(1): 236–255CrossRefGoogle Scholar
  11. Li Zhijun. 2000. The characteristics of ice in Bohai Gulf and the problems for cleaning of spilled oil in icy water area. China Offshore Platform (in Chinese), 15(5): 20–23Google Scholar
  12. Li Ying, Liu Bingxin, Lan Guoxin, et al. 2010. Study on spectrum of oil film in ice–infested waters. Spectroscopy & Spectral Analysis (in Chinese), 30(4): 1018–1021Google Scholar
  13. Li Yan, Zhu Jiang, Wang Hui, et al. 2013. The error source analysis of oil spill transport modeling: a case study. Acta Oceanologica Sinica, 32(10): 41–47CrossRefGoogle Scholar
  14. Liu Hongjie. 2011. Experts say that the exchange of sea water period need 30 years in Bohai, which with a poor self–purification ability (in Chinese). Qilu Evening News, http://news.sina.com.cn/c/2011–07–07/072322771285.shtml [2011–07–07]Google Scholar
  15. Lu Yingcheng, Tian Qingjiu, Wang Xinyuan, et al. 2012. Determining oil slick thickness using hyperspectral remote sensing in the Bohai Sea of China. International Journal of Digital Earth, 6(1): 76–93CrossRefGoogle Scholar
  16. Martin S. 1979. A field study of brine drainage and oil entrainment in first–year sea ice. Journal of Glaciology, 22(88): 473–502Google Scholar
  17. Nuka Research and Planning Group. 2007. Oil Spill Response Challenges in Arctic Waters. Oslo, Norway: WWF International Arctic Programme. http://www.doc88.com/p–902281631003.htmlGoogle Scholar
  18. Praks J, Eskelinen M, Pulliainen J, et al. 2004. Detection of oil pollution on sea ice with airborne and spaceborne spectrometer. Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International (Vol.1)Google Scholar
  19. Solberg A H S, Brekke C, Husoy P O. 2007. Oil spill detection in Radarsat and Envisat SAR images. IEEE Transactions on Geoscience & Remote Sensing, 45(3): 746–755CrossRefGoogle Scholar
  20. Spaulding M L. 1988. A state–of–the–art review of oil spill trajectory and fate modeling. Oil & Chemical Pollution, 4(1): 39–55CrossRefGoogle Scholar
  21. Trites R W, Lawrence D J, Vandermeulen J H. 1986. Modelling oil movements from the Kurdistan spill in Cabot Strait, Nova Scotia. Atmosphere Ocean, 24(3): 253–264CrossRefGoogle Scholar
  22. Wang Guiwu, Zhang Yuanzhi, Lin Hui. 2009. A study of oil spill detection using ASAR images. Acta Oceanologica Sinica, 28(4): 32–37Google Scholar
  23. Dan W, Shen J, Zhang Y, et al. 2009. Application of the marine oil spill surveillance by satellite remote sensing. International Conference on Environmental Science and Information Application Technology (Vol.1). IEEE Computer Society, pp.505–508Google Scholar
  24. Yu Jiaai, Wang Renshu, Chen Weibin, et al. 1997. The behaviour of oil spills in ice–infested waters. Marine Environmental Science (in Chinese), 16(1): 72–78Google Scholar
  25. Zhang Biao, Perrie W, Li Xiaofeng, et al. 2011. Mapping sea surface oil slicks using RADARSAT–2 Quad–polarization SAR image. Geophysical Research Letters, 38(10): L10602CrossRefGoogle Scholar

Copyright information

© The Chinese Society of Oceanography and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Jinlong Chao
    • 1
    • 2
  • Chengyu Liu
    • 3
  • Ying Li
    • 5
    • 2
  • Xia Lin
    • 4
  • Yu Yan
    • 2
  1. 1.Institute of Geography ScienceTaiyuan Normal UniversityYuciChina
  2. 2.State Key Laboratory of Earth Surface Processes and Resource EcologyBeijing Normal UniversityBeijingChina
  3. 3.Key Laboratory of Spatial Active Opto-electronic Technologies, Shanghai Insitute of Technical PhysicsChinese Academy of SciencesShanghaiChina
  4. 4.National Marine Environmental Monitoring CenterState Oceanic AdministrationDalianChina
  5. 5.Institute of City and EnvironmentLiaoning Normal UniversityDalianChina

Personalised recommendations