• DocumentCode
    2513708
  • Title

    Modeling the Biomanipulation in Eutrophic Shallow Lakes

  • Author

    Peng Hong ; Wang Yan ; Zhang Wanshun

  • Author_Institution
    Sch. of Water Resource & Hydropower, Wuhan Univ., Wuhan, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A biomanipulation method, culture of Hyriopsis Cumingii is applied in Xikeng reservoir, Shenzhen, China, to resolve the eutrophication problem of the reservoir. The experiment had been carried out from April, 2001 to March, 2004. In order to simulate the effect of biomanipulation on eutrophication, in this paper a numerical model of biomanipulation in shallow water body (lakes, reservoirs) is proposed. 10 state variable were described in the dynamic model: carbonaceous biochemical oxygen demand (CBOD), dissolved oxygen (DO), ammonia (NH3-N), nitrate (N03), organic nitrogen (Org-N), inorganic phosphorus (P04), organic phosphorus (Org-P), phytoplankton, zooplankton and mussel. The model is applied to Xikeng Reservoir to simulate the distributions and changes of nutrient and algae after the biomanipulation. The model is validated using measured data and the calculated results show well agreement with the measured data. The effect of biomanipulation on water quality in Xikeng Reservoir is simulated and analyzed.
  • Keywords
    lakes; microorganisms; reservoirs; AD 2001 04 to 2004 03; China; Hyriopsis Cumingii; Shenzhen; Xikeng reservoir; ammonia; biomanipulation; carbonaceous biochemical oxygen demand; dissolved oxygen; eutrophic shallow lakes; eutrophication; mussel; phytoplankton; water quality; zooplankton; Algae; Biological system modeling; Biomass; Cities and towns; Filters; Lakes; Mathematical model; Reservoirs; Sea measurements; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5163076
  • Filename
    5163076