以杨凌区进行的畦灌大田试验为基础,采用WinSRFR软件对各试验点的灌水质量进行了模拟,并分析了畦长、田面坡度、入畦单宽流量和改口成数对灌水效率Ea、灌水均匀度Ed和储水效率Es的影响;在此基础上,结合均匀试验设计与多元回归分析的方法,构建了包含灌水效率Ea、灌水均匀度Ed和储水效率Es在内的单目标优化模型,以入畦单宽流量和灌水时间为变量,采用遗传算法对模型进行求解,提出了试验点不同计划灌水深度条件下畦灌灌水技术要素的优化组合,结果表明其可获得高的灌水质量,达到常规畦灌节水的目的。
Based on the field experiments carried out in Yangling,the values of irrigation performance were simulated by the WinSRFR software,and the influence of border length,field slope,unit discharge and cutoff time on irrigation application efficiency,distribution uniformity and storage efficiency were analyzed.On this basis,combined with uniform design and multiple regression analysis,a single-objective optimization model was established including irrigation application efficiency,distribution uniformity and storage efficiency,and taking unit discharge and cutoff time as variables.The model was solved by genetic algorithms,the optimized combination of irrigation technique element under different theories of water requirement were proposed in Wangshang Village,the results show that it can realize a high irrigation performance and water saving for border irrigation through a proper selection of unit discharge and cutoff time.