• DocumentCode
    2856109
  • Title

    The Analysis of Water Color Constituent Absorption Characteristics in Pearl River Estuary of China

  • Author

    Xi Hongyan ; Qiu Zhongfeng ; He Yijuna ; Jian Weijun

  • Author_Institution
    Inst. of Oceanol., Chinese Acad. of Sci., Qingdao
  • fYear
    2006
  • fDate
    July 31 2006-Aug. 4 2006
  • Firstpage
    1346
  • Lastpage
    1349
  • Abstract
    Most of Chinese adjacent seawaters are case 2 waters, while the absorption characteristics of water constituents are quite important parameters on the development of semi-analytic bio-optical algorithms. In this article, based on the in-situ data from the cruise in the Pearl River estuary and sea areas nearby during March to May in 2001, we analyzed the absorption coefficients of the three components (phytoplankton, CDOM and de-pigment particles). Exponential method was chosen to simulate the waveband relations of phytoplankton pigments absorption coefficients aph(lambda) by taking 675 nm as the reference wavelength. The empirical model between aph(675) and chlorophyll-a concentrations <Chla> was also developed with a good correlation of 0.93. We also calculated the empirical spectral slope value of the CDOM (Sg=0.0170) and that of de-pigment particles absorption coefficients (Sd=0.0116) with the relative standard errors below 10.0%. The verified results, which are tested with the dataset of the same zone at different depth, showed that this spectral model was strongly suitable for this region.
  • Keywords
    oceanographic regions; AD 2001 03 to 05; CDOM; China; Pearl River estuary; biooptical algorithms; chlorophyll-a concentrations; depigment particles; exponential method; in-situ data; phytoplankton pigments; spectral model; water color constituent absorption characteristics; Absorption; Biomedical optical imaging; Color; Particle measurements; Pigments; Pollution measurement; Rivers; Sampling methods; Sea measurements; Water pollution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-9510-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2006.348
  • Filename
    4241495