• DocumentCode
    2513481
  • Title

    Model-Based Method to Establish Total Pollution Load Control Objective for Looped River Network

  • Author

    Zeng, Siyu ; Xu, Yijian ; Du, Pengfei ; Chen, Jining

  • Author_Institution
    Dept. of Environ. Sci. & Eng., Tsinghua Univ., Beijing, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A water quality model was developed for the surface water system made up of looped river networks. It consisted of a hydrological sub-model and a water quality sub-model. The former was built up based on the Saint Venant equations, while the latter modified the traditional CSTR taking the uncertain flow direction into account. What the model described was the temporal and spatial changes of COD, NH4-N and DO concentration of the looped river network. By utilizing the prediction function of the model, a method for establishing the pollution load control objective has been given. Through Monte-Carlo-based model running, a series of pollutant load scenarios which met the water quality requirements could be produced. The scenario with maximum load can be used to determine the load control objectives. With the case of Lucheng River Network in China, the model has been calibrated and the load control objectives for COD and NH4-N have been brought forward.
  • Keywords
    load regulation; river pollution; rivers; water pollution control; water quality; China; Lucheng River Network; Saint Venant equations; hydrological sub-model; looped river networks; pollutant load; pollution load control; prediction function; surface water system; water quality sub-model; Continuous-stirred tank reactor; Equations; Inductors; Large-scale systems; Load flow control; Load modeling; Predictive models; Rivers; Surface contamination; Water pollution;
  • 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.2009.5163065
  • Filename
    5163065