喷灌水量分布的遗传神经网络模拟与组合均匀度计算  

Genetic Neural Network Simulation and Uniformity Calculation of Droplet Distribution in Sprinkling Irrigation

作　　者：郄志红[1] 练继建[1] 吴鑫淼[2] 王文元[2] 

机构地区：[1]天津大学水利水电工程系,天津300072 [2]河北农业大学城乡建设学院,河北保定071001

出　　处：《灌溉排水学报》2003年第3期61-63,共3页Journal of Irrigation and Drainage

基　　金：河北省自然科学基金资助项目 ( 5 0 1175 )

摘　　要：喷头的水量分布与工作压力 H、风速 V等密切相关 ,但难以找出描述其间关系的显式方程。这使得喷灌系统的布置优化、模拟仿真乃至运行控制不太方便 ,不利于电算。采用遗传神经网络较好地模拟了喷头水量分布及其与 H、V的关系 ,给出了基于这种模拟的喷灌组合均匀度计算方法 ,并通过实例验证了该方法。Droplet distribution of sprinkler irrigation is related withworking pressure H and wind speed V . But it is very difficult to develop an equation for describing numerically the relationship, which results in the inconvenience for optimal design, simulation, control and computer calculation. Genetic neural network is adopted to simulate droplet distribution and the relationship among droplet distribution and H and V . A combined uniformity calculation method based on this simulation also is put forward. A case study shows that the method is reliable for simulating droplet distribution in sprinkler irrigation.

关 键 词：喷灌 喷头 水量分布 遗传神经网络 模拟 组合均匀度 遗传算法 

分 类 号：S275.5[农业科学—农业水土工程]