• DocumentCode
    2413393
  • Title

    Optimal Pumping Schedule and Salinity Control in a Coastal Aquifer: a Decision Support System

  • Author

    Duarte, T.K. ; Minciardi, R. ; Robba, M. ; Sacile, Roberto

  • Author_Institution
    Land Assets Div., Kamehameha Schools, Honolulu, HI
  • fYear
    2009
  • fDate
    5-8 Jan. 2009
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    Proper management of coastal wells is important in order to satisfy demand, minimize costs, control salinity increase, and ultimately to define water resource strategies which are both economically and environmentally sustainable.The optimal pumping schedule for a coastal well has been defined by a decision model that minimizes desalination and pumping costs, while taking into account the aquifer salinity levels near the well. The state equations are embedded as constraints in the optimization problem. Pumping is related to salinity via empirical response curves, through data collected in experimental campaigns. The decision model is defined as a multi-stage optimal control problem, which can be solved by applying dynamic programming. The architecture of a decision support system (DSS) for real time implementation in order to minimize costs and salinity increase is reported. A case study is presented with application to a well positioned at Kuki´o (Hawai´i Island, Hawai´i, USA).
  • Keywords
    decision support systems; dynamic programming; environmental science computing; groundwater; optimal control; water resources; coastal aquifer; decision model; decision support system; desalination; dynamic programming; empirical response curves; multistage optimal control problem; optimal pumping schedule; optimization problem; salinity control; water resource; Control systems; Cost function; Decision support systems; Desalination; Environmental economics; Environmental management; Optimal control; Resource management; Sea measurements; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 2009. HICSS '09. 42nd Hawaii International Conference on
  • Conference_Location
    Big Island, HI
  • ISSN
    1530-1605
  • Print_ISBN
    978-0-7695-3450-3
  • Type

    conf

  • DOI
    10.1109/HICSS.2009.337
  • Filename
    4755426