Stochastic linear programming for improved reservoir operations for multiple objectives in Burkina Faso, West Africa
Document Type
Conference Proceeding
Publication Date
12-1-2008
Abstract
A network of reservoirs and diversion structures in the Comoe River Basin in southwestern Burkina Faso, West Africa, provides municipal water supply and irrigation water for sugarcane agribusiness and a population of farmers. The region is characterized by severe intraseasonal and inter-annual variability with respect to precipitation and reservoir inflows. Reservoir operations are generally conservative, even during wet years. A stochastic linear programming model is introduced which translates seasonal streamflow and precipitation forecasts, in the form of a scenario tree, into optimal release schedules for reservoir operators to implement in real-time as forecasts and system conditions change. Goals include more efficient and equitable releases, and downstream flow maintenance. A VBA-based graphic user interface (GUI) is used to ensure implementation and ease of use by operators. © 2008 ASCE.
Publication Title
World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008
Recommended Citation
Etkin, D.,
Kirshen, P.,
Watkins, D.,
Diallo, A.,
Hoogenboom, G.,
Roncoli, M.,
Sanfo, J.,
Sanon, M.,
Somé, L.,
&
Zoungrana, J.
(2008).
Stochastic linear programming for improved reservoir operations for multiple objectives in Burkina Faso, West Africa.
World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008,
316.
http://doi.org/10.1061/40976(316)549
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/8696
