• DocumentCode
    510108
  • Title

    Application of System Dynamics in the Forecasting Water Resources Demand in Tianjin Polytechnic University

  • Author

    Zhai, Chunjian ; Zhang, Hongwei ; Zhang, Xuehua

  • Author_Institution
    Tianjin Polytech. Univ., Tianjin, China
  • Volume
    1
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    273
  • Lastpage
    276
  • Abstract
    Accurate prediction of water resources demand plays an important role in the system which integrates water resources management promotes and balance efficiency and allocation of water demand. This article introduces the ITHINK software for the forecasting water resources demand. System Dynamics is a brand-new subject on the basis of operation research, system theory, cybernetics, information feedback theory, decision theory and computer science. The model which is proposed in this article is dominated by three stocks, five flows and thirty-one converters. As regards Tianjin polytechnic university, the model is developed for predicting the tendency of the planning years, based on analysis of water resources. The practical verification showed this method forecast relative error was lower than 5%. Thus the predicting outcome showed that System dynamics forecasting result can offer accurate quantitative information to water resources management system. And that proved that System Dynamics method was an available tool for resources plan.
  • Keywords
    computer software; environmental management; forecasting theory; water resources; ITHINK software; Tianjin polytechnic university; system dynamics application; water resources demand forecasting; water resources management system; Application software; Computer science; Cybernetics; Decision theory; Demand forecasting; Feedback; Operations research; Predictive models; Resource management; Water resources; ITHINK; System Dynamics; forecast; mathematic; resources demand;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.272
  • Filename
    5376130