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.
出处
《灌溉排水学报》
CSCD
北大核心
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 )
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
uniformity of sprinkler irrigation
droplet distribution
artificial neural network
genetic arithmetic
simulation
