基于RAIGA的PPC模型评价玉米调亏灌溉  

Evaluation of Corn Regulated Deficit Irrigation based on RAIGA-PPC

作　　者：滕云[1,2] 司振江 王柏 陶延怀 王兰冰 

机构地区：[1]黑龙江省水利科学研究院,哈尔滨150080 [2]东北农业大学水利与建筑学院,哈尔滨150030

出　　处：《节水灌溉》2014年第4期14-18,共5页Water Saving Irrigation

基　　金：国家科技支撑计划项目(2007BAD88B01);黑龙江省水利厅科研开发重点项目(HSKY2009-02);黑龙江省财政厅科研计划资助项目(2009-01)

摘　　要：为了优选最佳的玉米调亏灌溉方案,以东北春玉米为研究对象,通过测筒进行玉米不同生育阶段的水分调亏灌溉试验研究,利用基于实码加速免疫遗传算法的投影寻踪模型来综合评价不同调亏灌溉方案,结果表明:RAIGA具有较好的实用性和稳定性,依据样本自身的数据特性,利用PPC模型寻求最佳投影方向能够判断各指标对综合评价目标的贡献大小,应用RAIGA算法的PPC模型评价东北春玉米在调亏灌溉情况下生育指标排序结论比较可靠,对制定玉米调亏灌溉制度具有应用价值。In this work, in order to optimize the best corn regulated deficit irrigation scheme, taking northeast spring corn as a study object, the experimental study on corn regulated deficit irrigation（RDI）at different stage was conducted through measuring cylinder, and the different regulated deficit irrigation scheme was evaluated by proiection pursuit classification（PPC）based on real coded accel erating immune genetic algorithm（RAIGA）. The results showed that the performance of RAIGA has better practicability and stabili ty. The best projection direction by the PPC model can judge the contributions of each evaluation index to the comprehensive evalua tion target. It was reliable to apply the RAGA-PPC model to sequence the comprehensive growing indexes of northeast spring corn under RDI condition, which had great significance in establishing corn regulated deficit irrigation system.

关 键 词：东北春玉米 RAIGA-PPC调亏灌溉 产量 水分胁迫 

分 类 号：S275[农业科学—农业水土工程]