Multi-objective modeling and optimization of water distribution for canal system considering irrigation coverage in artesian irrigation district

Abstract

Efficient water distribution within canal systems is essential for conserving water resources and enhancing irrigation efficiency, especially under conditions of constrained water supply. This study proposed an innovative optimization model for canal systems, incorporating the artesian irrigation rate as a multi-objective criterion. A digital elevation model was utilized to determine the irrigation coverage capacity based on outlet water levels, addressing existing limitations by introducing the artesian irrigation rate objective. A multi-objective optimization model was constructed, taking into account drainage loss, fluctuation of trunk canal flow, and artesian irrigation rate within irrigated areas. NSGAIII, with an effective correction strategy, and entropy weight method were used to solve the optimization problem under restricted flow constraints. The results indicate that the model's implementation has reduced the overall water conveyance time by 3 hours, decreased leakage losses by 1.3 %, elevated the water level of the branch canals, and increased the artesian irrigation rate by 4.5 %. The proposed objective enhances the flows within the branch canals and significantly ameliorates the rate of artesian irrigation under various flow limitation conditions.

Keywords

• Artesian irrigation district
• Water distribution optimization
• Multi-objective modeling
• Canal flow restriction
• Intelligent optimization algorithm