摘要
以傅立叶级数和表示多年日平均参考作物腾发量在年内的变化过程,结合天气类型修正系数,提出了一种新的参考作物腾发量预报模型,即傅立叶级数模型.将模型应用于陡山灌区的参考作物腾发量实时预报;结果表明,该模型的预测精度比原有的指数模型(亦称逐日均值修正模型)的预测精度高.这种模型简单,可方便地嵌入灌溉预报系统,适应性强.
A new model for forecasting reference crop evapotranspiration is presented. Forecasting reference crop evapotranspiration plays an important role in crop water requirements forecasting and irrigation management. Based on the fact that reference crop evapotranspiration changes in a strong seasonal trend and the daily means fit to the summation of Fourier series approximately, using the method similar with modified daily mean model, we proposed a Fourier series model. The results of application to Doushan Irrigation System show that it can improve the accuracy of forecasting. This model is simple and can be easily integrated with an irrigation forecasting system or irrigation scheduling program.
出处
《武汉大学学报（工学版）》
CAS
CSCD
北大核心
2005年第6期45-47,52,共4页
Engineering Journal of Wuhan University
基金
国家自然科学基金项目(50109004)资助
关键词
参考作物腾发量
预报
傅立叶级数
reference crop evapotranspiration
forecasting
Fourier series model
