LI Yun-feng, ZHANG Qian, ZHANG Peng, WU Tian-yuan, LIU Fu-sheng
Water Saving Irrigation. 2018, (4):
42-45.
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At present, there are many implementation departments of farmland water conservancy projects, these departments can not carry out unified planning in the process of project renovation, and lack of program optimization and comparison, and it is difficult to achieve an optimal status in terms of engineering design and planning, which results in waste of water resources. At the same time, the unsound formation mechanism for agricultural water pricing and the low overall pricing of water resource, lesd to the extensive use of agricultural water and disrepair of water conservancy projects. In order to address this issue, this study proposes a nonlinear optimization model for irrigation channels involving rectangular, trapezoidal and U-shaped sections. In this new model, the variables are dependent on several factors including section size, channel length, the objective function is established by the lowest cost of irrigation water supply, the constraints are defined using the quantities of flow, flow rate and aspect ratio. The implementation of this model is based on the optimized programming of a genetic algorithm. The proposed method is validated using realistic project examples, and results indicates that the new model can efficiently and effectively determine the overall optimization scheme for meeting the requirements of farmland irrigation and water saving, as well as reducing the cost of water supply and providing reference for setting reasonable water pricing.