Water Resources Planning and Management
Water resources management in arid agricultural irrigation regions with low precipitation and high potential of evapotranspiration is a great challenge for managers and decision makers. In some of those regions, many ponds are built for ensuring an adequate water supply for irrigation demand. Thus, reservoirs and ponds should be managed conjunctively so as to minimize shortages of water. In this study, a new integrated mathematical model of conjunctive operation of reservoirs and ponds to maximize the water supply is proposed for a reservoir-pond irrigation system. This objective is achieved via the use of two models: an optimal model, which is used to acquire the optimal discharge of reservoirs, and a simulation model, which considers the regulatory role of ponds and reservoirs and simulates their supplied water to irrigation system. Adaptive genetic algorithm is employed in this study to solve the nonlinear and high-dimensional reservoirs optimization problem. The methodology is applied to the Yarkant River Basin to demonstrate its applicability, and three scenarios are presented. The main goal of the simulation-optimization model in the Yarkant River Basin is to minimize shortages in meeting irrigation demands for nine sub-irrigation systems subject to constraint of ecological water transfer to the Tarim River. Results of the proposed model demonstrate the importance of the conjunctive use approach for water resources management in irrigation system of arid regions.
Xi'an University of Technology
Wednesday, January 4
10:00 AM – 5:00 PM