Optimization of Canal Water in an Irrigation Network Based on a Genetic Algorithm: A Case Study of the North China Plain Canal System

Maximizing the efficiency of water distribution in canals requires clear guidelines and criteria for system design and operation. Studies have shown that optimization models based on a genetic algorithm (GA) provide a reasonable arrangement of canal water allocation times and discharges, which reduces water transportation losses. In this study, a GA was developed and implemented in the North China Plain canal system, which has 24 minor canals and a command area of approximately 1800 ha. The optimization results indicated that the total seepage loss and evapotranspiration in the canal system decreased from 249 000 to 115 000 m 3 . Furthermore, the total water requirement decreased from 1 170 000 to 1 040 000 m 3 . This study suggests that revising water delivery schedules could increase water productivity, and reduce water leakage and total water requirements.