• DocumentCode
    2874409
  • Title

    The Application of 3s Technique in Water Pollution Monitoring and Forecasting

  • Author

    Weiming, Li ; Defu, Liu ; Hui, Peng ; Wen, Liu

  • Author_Institution
    Coll. Of Water Resources & Hydroelectric Eng., Wuhan Univ., Wuhan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    16-18 Oct. 2009
  • Firstpage
    822
  • Lastpage
    826
  • Abstract
    With the increasingly prominent of the water pollution problem and the rapid development of the 3S technique, The monitoring and forecasting of water pollution system combine with 3S becomes possible. Water pollution control has been developed for many years, but is limited to the study of trends instead of making accurate short-term forecasts. A major barrier to water pollution forecasting is the lack of an efficient system for water pollution monitoring. Traditional water pollution sampling is time-consuming, expensive, and can only be taken for small sizes. 3S technique provides a new technique to monitor water pollution repetitively for a large area. Moreover, it can be real-time monitoring and forecasting. The developed forecasting system is designed to predict water pollution variables using remote sensing data as an input to initialize and update water pollution conditions.
  • Keywords
    Global Positioning System; decision support systems; environmental science computing; geographic information systems; geophysics computing; remote sensing; water pollution control; water pollution measurement; 3S technique; remote sensing data; water pollution control; water pollution forecasting; water pollution monitoring; Cities and towns; Educational institutions; Environmental management; Humans; Lakes; Quality management; Remote monitoring; Rivers; Water pollution; Water resources; 3S; forecasting; monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy and Environment Technology, 2009. ICEET '09. International Conference on
  • Conference_Location
    Guilin, Guangxi
  • Print_ISBN
    978-0-7695-3819-8
  • Type

    conf

  • DOI
    10.1109/ICEET.2009.437
  • Filename
    5366861