Abstract：In order to rationally allocate the agricultural water resources in Dali County and improve the total household income in Dali County, the optimal allocation model of the agricultural water resources was set up, and the rational planting area of the main crops and the optimal allocation scheme of agricultural water resources in Dali County were obtained. The problem of rational allocation of limi-ted agricultural water resources in different crops in irrigated areas in Dali County was solved, and the goal of maximizing total revenue was achieved. The particle swarm optimization(PSO)was used in the model solution, and two improvements were made to the linear decrement of inertia weight and the speed limit particle swarm. The problem of program interruption caused by the definition domain of particle escape function was solved. The results show that the total revenue of the rich water year(P=25%)is 2 billion 978 million yuan, the total revenue of the flat water year(P=50%)is 2 billion 975 million yuan, and the total revenue of the dry year(P=75%)is 2 billion 950 million yuan. Compared with the total revenue of 2 billion 898 million yuan before the optimization, more water resources are distributed to the economic crop cotton. The optimum distribution of plant area and water quantity is achieved. Comparing the PSO algorithm before and after the improvement, the improved PSO algorithm has strong optimization ability, and the result is reliable and reasonable, which provides a new solution for the optimization of regional water resources allocation.
张倩,张建丰*,李涛,辛彦林,史娟. 粒子群算法的改进及在农业水资源配置的应用[J]. 排灌机械工程学报, 2020, 38(6): 637-642.
ZHANG Qian,ZHANG Jianfeng*,LI Tao,XIN Yanlin,SHI Juan. Improvement of particle swarm optimization and its application in agricultural water resources allocation. Journal of Drainage and Irrigation Machinery Engin, 2020, 38(6): 637-642.
