| This article has been：Browse 1787Times Download 2387Times |
scan it! |
|
|
| DOI：10.13522/j.cnki.ggps.2021161 |
|
| Water Resource Allocation for Irrigation Optimized using the NSGA-ⅡModel: Theory and Application |
|
WANG Hui, GAO Zehai, SUN Chao, ZHANG Jianfeng, LI Tao
|
|
(1.State Key Laboratory Base of Eco-hydraulic Engineering in Arid Area, Xi’an University of Technology, Xi’an 710048, China; 2.Shaanxi Water Conservancy and Electric Power Survey and Design Institute, Xi’an 710001, China)
|
| Abstract: |
| 【Objective】Water scarcity hinders agricultural production in many countries, and how to rationally allocate water resources for irrigation is hence important to make the most of the limited water resources in areas such as northern and northwest China where water is scarce. The purpose of this paper is to present an optimization method to rationalize regional water allocation for irrigation.【Method】We constructed a two-stage optimization model considering plant structure in one layer and plant irrigation in another layer. The principle of system decomposition and coordination were used to allocate the water resources to different irrigation areas. The first layer of the optimization model was to analyze the effect of irrigation time and irrigation scheduling on economic return, and the second layer was to calculate its consequence for the effect of ecological benefits. We applied the model to the Wuquan irrigation district at Baojixia in Shannxi province, with the optimization solved by the non-dominant genetic algorithm.【Result】①The optimization model considering irrigation amount and irrigation time can improve the economic benefits. ②In the plant structure layer, adding the ecological benefits to the optimization objective reduced economic benefits but the overall optimized benefits were still significantly higher than the economic benefits obtained without considering the ecological benefits. ③Considering the improved ecological benefits, the optimized results considering the ecological benefits improved 23.5% of the overall return compared with those obtained without considering them.【Conclusion】Optimization of water resource allocation for irrigation should consider both economic and ecological benefits in the second layer, and the irrigation amount and irrigation time in the first layer. The optimization model we proposed in this paper can help make most of water resources for irrigation in regions where water is scarce such as northwestern China. |
| Key words: water resources allocation; planting structure; irrigation system; non-dominant sorting genetic algorithm; multi-objective optimization |
|
|
