Optimization of performance measures in Doroodzan Irrigation Network

Abstract- In this research, the performance measures of water equity and productivity have been optimizedin the entire DoroodzanIrrigation Network by using genetic algorithms. Results indicated thatirrigation water management improvement at field scale[increasing irrigation application efficiency (Ea) and water reduction fraction (WRF)] has much more impressive impact on raising the performance measures than improvement of conveyance efficiency of channels (Ec).Increment of Ea (40% to 90%) andEc (70% to 90%)resulted inmaximumand minimumincremental effect onwater equity (on average 48.2% and 17.7%, respectively) and productivity (on average 92.0% and 10%, respectively).The incremental effect of WRF (0.0 to 0.8)on water equity and productivitywas on average31.4% and 10%, respectively.Furthermore, the values of performance measures decreased from wet water year to drought water year.Tape irrigation system was considered as the best choice at low quantities of WRF (<=0.4),however for higher values of WRF (>=0.6), sprinkler irrigation system was considered as the best choice for achieving higher values of water equity and productivity.Meanwhile, when equity and productivity were considered together for a specific method of deficit irrigation scheduling, under specified quantity of irrigation water, with increasing equity the water productivity reduction was negligible.

Optimization of performance measures in Doroodzan Irrigation Network Keywords:

Keywords:On-farm water management , Optimization , Genetic Algorithm , water equity , water productivity