| 基于微粒群算法的投影寻踪模型对调亏灌溉模式评价 |
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| 引用本文： | 李芳花,王柏,孙艳玲,蔡体久.基于微粒群算法的投影寻踪模型对调亏灌溉模式评价[J].东北农业大学学报,2013(2):77-81. |
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| 作者姓名： | 李芳花 王柏 孙艳玲 蔡体久 |
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| 作者单位： | 东北林业大学林学院;黑龙江省水利科学研究院 |
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| 基金项目： | 黑龙江省重大攻关项目(GA09B105-1-1) |
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| 摘 要： | 通过基于微粒群算法的投影寻踪模型评价方法,对水稻调亏灌溉管理模式提出不同生育期调亏对水稻生育特性及产量影响的综合评价,确定水稻调亏灌溉最优管理方案:返青期土壤水分控制下、上限为相对饱和含水率的70%~100%;分蘖初期为90%~100%;分蘖中期含水率90%,田面水层10 mm;分蘖末期为60%~100%;拔节孕穗期为90%~100%;抽穗开花期为0~20 mm,为节水高产型灌水方法和调亏灌溉制度的制定提供基本依据。
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| 关 键 词： | 微粒群算法 投影寻踪模型 调亏灌溉 灌溉制度 |
Comprehensive evaluation of regulated deficit irrigation using projection pursuit model based on particle swarm optimization of algorithm |
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| LI Fanghua,WANG Bai,SUN Yanling,CAI Tijiu.Comprehensive evaluation of regulated deficit irrigation using projection pursuit model based on particle swarm optimization of algorithm[J].Journal of Northeast Agricultural University,2013(2):77-81. |
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| Authors: | LI Fanghua WANG Bai SUN Yanling CAI Tijiu |
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| Institution: | 1(1.School of Forestry,Northeast Forestry University,Harbin 150040,China;2.Heilongjiang Water Conservancy Institute,Harbin 150080,China) |
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| Abstract: | For the management mode of regulated deficit irrigation,the project pursuit model based on particle swarm optimization was proposed and applied to comprehensive evaluation of the effect on growth characteristics and yield in the different growth period of rice.The best regulated deficit irrigation scheme was that maintaining the level of water deficit 70%-100% of saturated water content at the green stage,water deficit 90%-100% of saturated water content at the early tillering stage,between the water deficit 90% of saturated water content and depth of 10mm field surface water layer at the middle tillering stage,water deficit 60%-100% of saturated water content at the late tillering stage,water deficit 90%-100% of saturated water content at the jointing-booting stage,and depth of 0-20mm field surface water layer at the jointing-booting stage.The optimum irrigation scheme provided the basic foundation to irrigation method and regulated deficit irrigation system of water-saving and high yield. |
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| Keywords: | particle swarm optimization projection pursuit regulated deficit irrigation irrigation system |
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