• DocumentCode
    576013
  • Title

    A tentative study of water quality retrieval in low-level-polluted Case II waters using analytical model

  • Author

    Guan, Qing ; Guo, Ziqi ; Liu, Caixia ; Lei, Xia

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    805
  • Lastpage
    807
  • Abstract
    The problem of Case II water pollution has been paid more and more attention these years. Although traditional means could provide more accurate measured values, they are greatly limited by its temporal and spatial defects. Therefore, remote sensing technology is introduced in and it has become a hot spot in the study of water environment monitoring. In this study, Guanting Reservoir, which lies between Zhangjiakou (HeBeijing) and Beijing, is selected to be the research object. With the data obtained in situ and in the laboratory, the water quality retrial model is established to calculate the water quality parameters of Guanting Reservoir. Further, combining with the satellite data (CHRIS/Proba), the qualitative distribution of water quality parameters at the whole reservoir region scale is obtained, which could support the quantitative study in the next step with data and theory basis.
  • Keywords
    environmental monitoring (geophysics); hydrological techniques; remote sensing; reservoirs; water pollution; water quality; Beijing; CHRIS/Proba; Case II water pollution; Guanting Reservoir; HeBeijing; Zhangjiakou; analytical model; low-level-polluted Case II waters; qualitative distribution; remote sensing technology; satellite data; spatial defects; temporal defects; water environment monitoring; water quality parameters; water quality retrial model; water quality retrieval; Analytical models; Pollution measurement; Remote sensing; Reservoirs; Water; Water pollution; Case II water; bio-optical model; remote sensing; water quality retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350872
  • Filename
    6350872