摘要
在滴灌条件下,滴头流量对土壤的水分运移影响很大,是影响作物生长的主要因素。依据滴灌条件下土壤水分垂直运移的观测数据,建立滴头流量与水分垂直运移距离的传递函数模型,利用粒子群优化(PSO)算法对模型的各个参数进行辨识与优化。在同一滴头流量下,比较不同土壤水分垂直运移模型的动态变化,验证了土壤水分垂直运移传递函数模型在不同流量下的有效性,为实现作物根系所需水分垂直运移距离的反馈调节,有效地保证作物根系所需的水分,减小水资源浪费创造了条件。
The soil water movement,which has influence on crop development under drip irrigation,is mainly affected by the drip discharge.The transfer function models between drip discharge and soil water vertical movement distance are constructed based on the data gathered from soil water vertical movement experiments under the condition of drip irrigation,and the Particle Swarm Optimization(PSO) algorithm is applied to identify and optimize the every parameter of the transfer function model.By comparing the dynamic transformation of soil water vertical movement models under the same drip discharge,the validity of transfer function model is validated.Adjusting real time drip discharge is proposed by transfer function model,it can solve the feedback adjusting of water vertical movement distance according to crop root,thus the water required by crop root can be supplied availably,and the waste of water resource can be reduced.
出处
《江西农业学报》
CAS
2010年第9期68-71,共4页
Acta Agriculturae Jiangxi
基金
国家863项目(2006AA100207)
国家自然科学基金资助项目(50579062)