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Chinese Science Bulletin

, Volume 58, Issue 19, pp 2276–2281 | Cite as

Characteristics of the Bohai Sea oil spill and its impact on the Bohai Sea ecosystem

  • Jie GuoEmail author
  • Xin Liu
  • Qiang Xie
Open Access
Article Special Topic: Change of Biodiversity Patterns in Coastal Zone

Abstract

In this paper, ENVISAT ASAR data and the Estuary, Coastal and Ocean Model was used to analyze and compare characteristics of the Bohai Sea oil spill. The oil slicks have spread from the point of the oil spill to the east and north-western Bohai Sea. We make a comparison between the changes caused by the oil spill on the chlorophyll concentration and the sea surface temperature using MODIS data, which can be used to analyze the effect of the oil spill on the Bohai Sea ecosystem. We found that the Bohai Sea oil spill caused abnormal chlorophyll concentration distributions and red tide nearby area of oil spill.

Keywords

ENVISAT ASAR MODIS oil spill chlorophyll sea surface temperature 

References

  1. 1.
    Fan K, Zhang Y, Lin H. Satellite SAR analysis and interpretation of oil spill in the offshore water of Hong Kong. Ann GIS, 2010, 16: 269–275CrossRefGoogle Scholar
  2. 2.
    Brekke C, Solberg A H S. Oil spill detection by satellite remote sensing. Remote Sens Environ, 2005, 95: 1–13CrossRefGoogle Scholar
  3. 3.
    Zhang B, Perrie W, Li X F, et al. Mapping sea surface oil slicks using RADARSAT-2 quad-polarization SAR image. Geophys Res Lett, 2011, 38: L10602Google Scholar
  4. 4.
    Frate F D, Petrocchi A, Lichtenegger J, et al. Neural networks for oil spill detection using ERS-SAR data. IEEE Trans Geosci Remote Sens, 2000, 38: 2282–2287CrossRefGoogle Scholar
  5. 5.
    Solberg A H S, Brekke C, Husoy P O. Oil spill detection in Radarsat and Envisat SAR images. IEEE Trans Geosci Remote Sens, 2007, 45: 746–755CrossRefGoogle Scholar
  6. 6.
    Garcia-Pineda O, Zimmer B, Howard M, et al. MacDonald. Using SAR images to delineate ocean oil slicks with a texture-classifying neural network algorithm (TCNNA). Can J Remote Sens, 2009, 35: 411–421CrossRefGoogle Scholar
  7. 7.
    Liu P, Zhao C, Li X, et al. Identification of ocean oil spills in SAR imagery based on fuzzy logic algorithm. Int J Remote Sens, 2010, 31: 4819–4833CrossRefGoogle Scholar
  8. 8.
    Wei H, Hainbucher D, Pohlmann T, et al. Tidal-induced Lagrangian and Eulerian mean circulation in the Bohai Sea. J Mar Syst, 2004, (44): 141–151CrossRefGoogle Scholar
  9. 9.
    He Y, Lu X, Qiu Z, et al. Shallow water tidal constituents in the Bohai Sea and the Yellow Sea from a numerical adjoint model with TOPEX/POSEIDON altimeter data. Cont Shelf Res, 2004, (24): 1521–1529CrossRefGoogle Scholar
  10. 10.
    Guo J, Xie Q, Chen Z B. Remote sensing information extraction of Laizhou Bay environment pollution (in Chinese). Mar Sci, 2012, 36: 119–128Google Scholar

Copyright information

© The Author(s) 2012

Authors and Affiliations

  1. 1.Key Laboratory of Coastal Zone Environmental ProcessesChinese Academy of SciencesYantaiChina
  2. 2.Shandong Provincial Key Laboratory of Coastal Zone Environmental ProcessesYantaiChina
  3. 3.Yantai Institute of Coastal Zone ResearchChinese Academy of SciencesYantaiChina
  4. 4.State Key Laboratory of Tropical Oceanography, South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhouChina
  5. 5.Sanya Institute of Deep-sea Science and EngineeringChinese Academy of SciencesSanyaChina

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