• DocumentCode
    2792264
  • Title

    Parameter estimation of water quality model using particle swarm optimization technique

  • Author

    Wang, Ke ; Wang, Xiaodong ; Shen, Li

  • Author_Institution
    Dept. of Electron. Eng., Zhejiang Normal Univ., Jinhua, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    1209
  • Lastpage
    1214
  • Abstract
    In this paper, a new method for solving the parameter estimation problem of water quality model using improved PSO technique is presented. In the improved PSO, the inertial weight decreasing function is a parabola opening upwards rather than the popular linearly decreasing line. In order to demonstrate the scheme, numerical experiments were operated on dissolved oxygen (DO) and biochemical oxygen demand (BOD) model. The results show that the proposed method is still effective even if there is the case of additive noise to exact data.
  • Keywords
    biochemistry; oxygen; parameter estimation; particle swarm optimisation; water quality; additive noise; biochemical oxygen demand; dissolved oxygen; inertial weight decreasing function; parameter estimation; particle swarm optimization technique; water quality model; Board of Directors; Calibration; Chemicals; Inverse problems; Mathematical model; Parameter estimation; Particle swarm optimization; Predictive models; Rivers; Water pollution; Biochemical oxygen demand; Dissolved oxygen; Parameter estimation; Particle swarm optimization; Water quality model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5192418
  • Filename
    5192418