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Stochastic programming for improved multiuse reservoir operation in Burkina Faso, West Africa

  • Derek Etkin
  • , Paul Kirshen
  • , David Watkins
  • , Carla Roncoli
  • , Moussa Sanon
  • , Leopold Some
  • , Youssouf Dembele
  • , Judith Sanfo
  • , Jacqueline Zoungrana
  • , Gerrit Hoogenboom
  • CDM Smith Inc.
  • University of New Hampshire
  • Michigan Technological University
  • Emory University
  • Institut de L'Environnement et des Recherches Agricoles (INERA)
  • Direction de la Météorologie (DM)
  • La Direction Générale des Ressources en Eau (DGRE)
  • Washington State University Pullman

Research output: Contribution to journal › Article › peer-review

Abstract

A network of reservoirs and diversion structures in the Comoé River Basin in southwestern Burkina Faso, West Africa, provides municipal water supply and irrigation for sugarcane agribusiness and downstream farmers. The region is characterized by severe intraseasonal and inter-annual variability of precipitation and reservoir inflows. Reservoir operations are generally conservative, even during relatively wet years. A stochastic decision support tool (DST) is described which translates a scenario-tree of streamflow and precipitation forecasts, conditionally weighted by a tercile seasonal precipitation forecast, into optimal release schedules for the upcoming year. It is shown that the DST coupled with the seasonal precipitation forecasts may provide more efficient and equitable release decisions that benefit the variety of stakeholders in the basin.

Original languageEnglish
Article number04014056
JournalJournal of Water Resources Planning and Management
Volume141
Issue number3
DOIs
StatePublished - Mar 1 2015

ASJC Scopus Subject Areas

  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Water Science and Technology
  • Management, Monitoring, Policy and Law

Keywords

  • Africa
  • Optimization models
  • Reservoirs
  • Water resources

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