滴灌条件下土壤水分运移模型的辨识与优化

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。基于滴灌条件下土壤水分运移的观测数据,建立滴头流量与水分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,比较不同土壤水分运移模型的动态变化,验证了传递函数模型在不同流量下的有效性,提出了实现实时调控滴头流量与运移距离的传递函数模型,为实现作物根系所需水分运移距离的反馈调节,有效地保证作物根系所需的水分,减小了水资源的浪费创造了条件。

Identification and Optimization of Soil Water Movement Model under Drip-Irrigation

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 water movement distance are identified based on the date gathered from soil water movement experiment under drip irrigation, the particle swarm optimization algorithm has been applied to identification and optimization of every parameter of the transfer function model. Comparing the dynamic transformation of soil water movement models of 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 movement distances according to crop root, the water of crop root is supplied availably, and waste of water resource is reduced.