遗传算法在河西绿洲菘蓝灌溉决策优化中的应用

Application of Genetic Algorithm in Optimization of Isatis indigotica Irrigation Strategy in Hexi Oasis

为缓解河西绿洲菘蓝种植水资源供需矛盾,解决灌溉过程中存在的灌溉决策粗放问题,提高灌溉水利用效率,参照Jensen模型、水量平衡方程等,根据河西绿洲干旱少雨的环境特征及菘蓝种植过程中各生育期耗水强度不同的生长规律,构建了菘蓝灌溉决策模型并利用遗传算法对有限水资源在菘蓝灌溉中的合理分配进行求解。同时综合考虑各生育期灌溉水量约束条件、有效降水量、灌溉成本和产量等因素,在非充分灌溉理论指导下,利用遗传算法结合现有菘蓝种植数据对灌溉决策进行优化,以达到节水、高效、高产的目的。优化结果显示,肉质根轻度水分亏缺可以显著提高灌溉水利用效率,同实际种植灌溉情况相符。

In order to alleviate contradiction between supply and demand of Isatis indigotica planting water resources in Hexi Oasis,solve problem of extensive irrigation decision-making in irrigation process,and improve efficiency of irrigation water use,by referring to Jensen model,water balance equation,etc.,according to environmental characteristics of drought and little rain in the Hexi Oasis and growth law of different water consumption intensity in each growth period of Isatis indigotica,an irrigation decision-making model of Isatis indigotica was constructed and genetic algorithm was used to solve reasonable allocation of limited water resources in Isatis indigotica irrigation.At the same time,considering constraints of irrigation water volume,effective precipitation,irrigation cost,yield and other factors in each growth period,under guidance of insufficient irrigation theory,genetic algorithm was used to optimize irrigation decision with existing Isatis indigotica planting data to achieve goal of water saving,high efficiency and high yield.Optimization results showed that slight water deficit of fleshy roots could significantly improve efficiency of irrigation water use,which was consistent with actual planting irrigation situation.