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

CHAO Jinlong LIU Chengyu LI Ying LIN Xia YAN Yu

钞锦龙, 刘成玉, 李颖, 林霞, 颜钰. 溢油污染的渤海海冰反射光谱特征实测研究[J]. 海洋学报英文版, 2017, 36(1): 73-79. doi: 10.1007/s13131-017-0995-1
引用本文: 钞锦龙, 刘成玉, 李颖, 林霞, 颜钰. 溢油污染的渤海海冰反射光谱特征实测研究[J]. 海洋学报英文版, 2017, 36(1): 73-79. doi: 10.1007/s13131-017-0995-1
CHAO Jinlong, LIU Chengyu, LI Ying, LIN Xia, YAN Yu. Characteristics of the sea ice reflectance spectrum polluted by oil spills based on field experiments in the Bohai Sea[J]. Acta Oceanologica Sinica, 2017, 36(1): 73-79. doi: 10.1007/s13131-017-0995-1
Citation: CHAO Jinlong, LIU Chengyu, LI Ying, LIN Xia, YAN Yu. Characteristics of the sea ice reflectance spectrum polluted by oil spills based on field experiments in the Bohai Sea[J]. Acta Oceanologica Sinica, 2017, 36(1): 73-79. doi: 10.1007/s13131-017-0995-1

溢油污染的渤海海冰反射光谱特征实测研究

doi: 10.1007/s13131-017-0995-1
基金项目: The National High Technology Research and Development Program (863 Program) of China under contract No. 2011AA100505; the Projects of the State Key Laboratory of Earth Surface Progresses and Resource Ecology, Beijing Normal University of China under contract No. 2010-KF-08.

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

  • 摘要: 本文通过测量野外现场模拟的渤海海冰冰面溢油的反射光谱,详细分析了海冰-油膜混合像元的反射率特征。结果发现,海冰与油膜的的混合像元是属于线性混合像元。本文提出利用双波段比值油膜-海冰指数(Double-band Ratio Oil-film Seaice Index,DROSI)和标准差异油膜-海冰指数(Normalized Difference Oil-film Seaice Index,NDOSI)分析海冰-油膜像元的反射曲线。海冰-油膜像元中油膜的面积比例可以通过波段为1610-1630nm平均反射率精确估算,进而可以进一步估算出油的体积。本研究中,海冰-油膜像元的提取方法及用于估算混合像元中油膜面积比例的模型可以被用于利用短波红外波段(1500-1780nm)高光谱遥感图像监测渤海海冰覆盖区的溢油事故。
  • 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/P020120524369065861990.pdf
    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):2282-2287
    Dickins D F, Buist I. 1999. Countermeasures for ice covered waters. Pure and Applied Chemistry, 71(1):173-191
    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):269-275
    Free A P, Cox J C, Schultz L A 1981. Laboratory studies of oil spill be-havior in broken ice fields. Laboratory Tests
    Garcia-Pineda O, Zimmer B, Howard M, et al. 2009. Using SAR im-ages to delineate ocean oil slicks with a texture-classifying neural network algorithm (TCNNA). Canadian Journal of Re-mote Sensing, 35(5):411-421
    Getman J, Schultz L. 1976. Tests of Oil Recovery Devices in a Broken Ice Field. The Eighth Offshore Technology Conference
    Guo Xiaozhe. 2012. World Offshore Petroleum Development History (in Chinese). Beijing:China Petroleum Industry Press
    Guo Jie, Liu Xin, Xie Qiang. 2013. Characteristics of the Bohai Sea oil spill and its impact on the Bohai Sea ecosystem. Chinese Sci-ence Bulletin, 58(19):2276-2281
    Jha M N, Levy J, Gao Yang. 2008. Advances in remote sensing for oil spill disaster management:state-of-the-art sensors techno-logy for oil spill surveillance. Sensors, 8(1):236-255
    Li Zhijun. 2000. The characteristics of ice in Bohai Gulf and the prob-lems for cleaning of spilled oil in icy water area. China Offshore Platform (in Chinese), 15(5):20-23
    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):1018-1021
    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):41-47
    Liu Hongjie. 2011. Experts say that the exchange of sea water period need 30 years in Bohai, which with a poor self-purification abil-ity (in Chinese). Qilu Evening News, http://news.sina.com.cn/c/2011-07-07/072322771285.shtml[2011-07-07]
    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):76-93
    Martin S. 1979. A field study of brine drainage and oil entrainment in first-year sea ice. Journal of Glaciology, 22(88):473-502
    Nuka Research and Planning Group. 2007. Oil Spill Response Chal-lenges in Arctic Waters. Oslo, Norway:WWF International Arctic Programme. http://www.doc88.com/p-902281631003.html
    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)
    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):746-755
    Spaulding M L. 1988. A state-of-the-art review of oil spill trajectory and fate modeling. Oil & Chemical Pollution, 4(1):39-55
    Trites R W, Lawrence D J, Vandermeulen J H. 1986. Modelling oil movements from the Kurdistan spill in Cabot Strait, Nova Sco-tia. Atmosphere Ocean, 24(3):253-264
    Wang Guiwu, Zhang Yuanzhi, Lin Hui. 2009. A study of oil spill detection using ASAR images. Acta Oceanologica Sinica, 28(4):32-37
    Dan W, Shen J, Zhang Y, et al. 2009. Application of the marine oil spill surveillance by satellite remote sensing. International Confer-ence on Environmental Science and Information Application Technology (Vol.1). IEEE Computer Society, pp.505-508
    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):72-78
    Zhang Biao, Perrie W, Li Xiaofeng, et al. 2011. Mapping sea surface oil slicks using RADARSAT-2 Quad-polarization SAR image. Geo-physical Research Letters, 38(10):L10602
  • 加载中
计量
  • 文章访问数:  1124
  • HTML全文浏览量:  45
  • PDF下载量:  781
  • 被引次数: 0
出版历程
  • 收稿日期:  2015-12-05
  • 修回日期:  2016-01-22

目录

    /

    返回文章
    返回