Optimal Allocation of Irrigation Water Under Different Flow Scenarios Using Multi-stage Stochastic Programming by Emphasizing Economic Productivity

This study investigated the optimal management and allocation of irrigation water under different flow scenarios focusing on economic water productivity (EWP) index.  In this study, the aim was to allocate and distribute water between networks and lower crops of Maroon reservoir dam The multi-stage stochastic programming method was used to develop the optimization model under three scenarios of arid, normal and wet years in two management modes and the results were compared with the traditional management figures. For this purpose, hydrometric data was sourced from the Marun network station for the 2006–2016 periods. Finally, the results of the second run provided a better irrigation program with a 19% increase in the total area under cultivation  and a 7% increase in objective function profit. Moreover, the highest mean EWP in the three scenarios was obtained in the second run for the North network at 9% more than the first run.