摘要
选择黑龙江省西部半干旱区查哈阳灌区为试验基点,进行了水稻的非充分灌溉试验,经过数学分析计算,得到了查哈阳灌区水稻最适宜的水分生产函数模型为Jensen模型,在此基础上建立了水稻的优化灌溉制度的非线性规划模型,并利用实码加速遗传算法进行求解以相对产量最大为目标的优化灌溉制度,优化结果表明,优化灌溉定额比当地节水灌溉定额省水达22.4%,提高了水分利用效率,为查哈阳灌区水资源的优化利用提供了科学依据。
The authors have taken Cha Hayang Irrigation Area which belongs to the semiarid area of Heilongjiang as the experimental location to research.And non-sufficient experimentation of rice has been carried out.The best rice water production function has been established as Jensen model through mathematic analysis.At the same time the nonlinear model of optimizing irrigation schedule of rice has also been established.In order to provide scientific foundation for optimal use of water resource,the optimization of irri- gation schedule calculated by Real coded Accelerating Genetic Algorithm(RAGA)was obtained for Cha Hayang Irrigation Area.Be- sides,the target of the calculating process was to seek for the maximum of relative yield during the optimization.The result showed that the optimizing irrigation ration was 22.4 percent less than local water-saving irrigation ration.Then utilization efficiency of wa- ter has been enhanced.
出处
《节水灌溉》
北大核心
2007年第8期48-51,共4页
Water Saving Irrigation
基金
国家"863"计划(2002AA2Z4251-09)
黑龙江省科技攻关项目(GB06B106-7)
关键词
水稻水分生产函数
非充分灌溉
加速遗传算法
优化灌溉制度
Rice water production function
Jensen model
non-sufficient irrigation
Accelerating Genetic Algorithm
optimization of irrigation schedule
