• DocumentCode
    2297196
  • Title

    The research on eruption peak mutation model of lake and reservoir alga bloom

  • Author

    Zhao, Xiaoping ; Wang, Xiaoyi ; Liu, Zaiwen ; Dong, Shuoqi ; Zhao, Xing

  • Author_Institution
    Sch. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    2949
  • Lastpage
    2952
  • Abstract
    Lake and reservoir alga bloom´s eruption is resulted by multiple factors, and its formation mechanism is rather complicated. A simulation of this eruption has been conducted in sunshine-room laboratory, then analysis the primary factor influencing the alga growth by rough set theory, through mutation theory to determine the critical factors of eruption. On this basis, the peak mutation model featured by potential function of chlorophyll-a is constructed so that the characteristic of alga bloom is able to described. Finally, the simulation is proved that the model is effective and feasibility.
  • Keywords
    ecology; lakes; microorganisms; reservoirs; rough set theory; water pollution control; alga growth; chlorophyll-a; eruption peak mutation model; formation mechanism; lake; mutation theory; reservoir alga bloom eruption; rough set theory; sunshine-room laboratory; Analytical models; Bifurcation; Biological system modeling; Data models; Lakes; Mathematical model; Reservoirs; Alga bloom; Peak mutation model; Rough set theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6358375
  • Filename
    6358375