The optimal joint provision of water for irrigation and hydropower.

A study was conducted to develop a dynamic optimization model to analyze the intertemporal allocation of surface water for irrigation and for hydropower production in the West of the U.S. It was pointed out that water released for irrigation in the spring reduces the reservoir head and diminishes t...

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Publicado en:Journal of Environmental Economics & Management Vol. 36; no. 3; pp. 295 - 314
Autores principales: Chatterjee, Bishu, Howitt, Richard E., Sexton, Richard J.
Formato: Artículo
Publicado: Academic Press Inc. November 1998
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Academic Press Inc.
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        atl: The optimal joint provision of water for irrigation and hydropower.
      aug:
        au:
          Chatterjee, Bishu
          Howitt, Richard E.
          Sexton, Richard J.
      su:
        Resource allocation -- Mathematical models
        Reservoirs
        Linear programming
        Irrigation
        Water districts
        Water power
        California
        United States
      sug:
        subj:
          California
          United States
          Resource allocation -- Mathematical models
          Reservoirs
          Linear programming
          Irrigation
          Water districts
          Water power
      ab: A study was conducted to develop a dynamic optimization model to analyze the intertemporal allocation of surface water for irrigation and for hydropower production in the West of the U.S. It was pointed out that water released for irrigation in the spring reduces the reservoir head and diminishes the capacity to generate power during summer peak demands. The optimization model was thus applied to irrigation districts in central California. Findings revealed substantial deviation between the actual and optimal allocations. The results demonstrated that suboptimal behavior is related to the districts' failure to articulate clear property rights to the scarce water resources.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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