基于微粒群算法的投影寻踪模型对调亏灌溉模式评价
|
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。
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.
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.
引文
[1]徐淑琴,付强,董淑喜,等.基于RAGA的PPC模型评价水分胁迫对寒区水稻生长和产量的影响[J].农业工程学报,2009,25:29-32.
[2]胡成玉,吴湘宁,颜雪松.微粒群算法中粒子运动稳定性分析[J].智能系统学报,2011,6(5):445-446.
[3]原君静,李洪文.基于投影寻踪技术的保护性耕作效益评价[J].农业工程学报,2010,26(4):175-178.
[4]陈曜,丁晶,赵永红.基于投影寻踪原理的四川省洪灾评估[J].水利学报,2010,41(2):220-223.
[5]邵光成,张展羽,刘娜,等.投影寻踪分类模型在膜下滴灌模式评价中的应用[J].水利学报,2007,38(8):944-947.
[6]刘朝华,张英杰,章兢,等.一种双态免疫微粒群算法[J].控制理论与应用,2011,28(1):65-72.
[7]高尚,杨静宇.群智能算法及其应用[M].北京:中国水利水电出版社,2006:6-10.
[8]谢俊凰,高慧敏.微粒群算法研究平台设计与实现[J].太原科技大学学报,2011,32(6):436-441.
[9]于泳海,王杉林.遗传算法与微粒群算法的比较[J].甘肃科学学报,2010,22(2):120-122.
[2]胡成玉,吴湘宁,颜雪松.微粒群算法中粒子运动稳定性分析[J].智能系统学报,2011,6(5):445-446.
[3]原君静,李洪文.基于投影寻踪技术的保护性耕作效益评价[J].农业工程学报,2010,26(4):175-178.
[4]陈曜,丁晶,赵永红.基于投影寻踪原理的四川省洪灾评估[J].水利学报,2010,41(2):220-223.
[5]邵光成,张展羽,刘娜,等.投影寻踪分类模型在膜下滴灌模式评价中的应用[J].水利学报,2007,38(8):944-947.
[6]刘朝华,张英杰,章兢,等.一种双态免疫微粒群算法[J].控制理论与应用,2011,28(1):65-72.
[7]高尚,杨静宇.群智能算法及其应用[M].北京:中国水利水电出版社,2006:6-10.
[8]谢俊凰,高慧敏.微粒群算法研究平台设计与实现[J].太原科技大学学报,2011,32(6):436-441.
[9]于泳海,王杉林.遗传算法与微粒群算法的比较[J].甘肃科学学报,2010,22(2):120-122.