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区域农业灌溉用水量长期预报模型研究
引用本文:邵东国,郭元裕,沈佩君. 区域农业灌溉用水量长期预报模型研究[J]. 灌溉排水学报, 1998, 0(3)
作者姓名:邵东国  郭元裕  沈佩君
作者单位:武汉水利电力大学
摘    要:农业灌溉用水是一动态、非平衡随机过程,其水量预报中存在灰色不确定信息。如何通过大面积农业灌溉用水量的长期预报,指导灌区用水实时管理,则是水利工程规划管理和农业高效用水中待研究的重要问题。本文基于时间序列分析方法,建立了区域农业灌溉用水量长期预报分解模型,给出了灰色GM(1,1)趋势预测、方差周期分析以及ARMA(2n,2n-1)随机分析相结合的模型求解方法,并编制了相应模型软件支持系统。该系统具有自动进行模型特性检验、结构识别、参数优选及拟合预测计算等优点。应用所提模型,对南水北调中线进行农业灌溉用水量的年预报研究,取得了满意结果,由此表明所提模型与方法是合理可行的。

关 键 词:灌溉用水  长期预报  时间序列分析

Research on Long-term Forecast Model of Regional Irrigation Water Requirement
Shao dongguo Guoyuanyu Shen peijum. Research on Long-term Forecast Model of Regional Irrigation Water Requirement[J]. Journal of Irrigation and Drainage, 1998, 0(3)
Authors:Shao dongguo Guoyuanyu Shen peijum
Abstract:Irrigation is very important for agricultural development and forcasting accurately the regional long term irrigation water still a difficulf task requirement. The main purpose of this paper is to analyze the features of irigation water process and put forward a decomposed model for the long term forecasting of regional irrigation water requirement,which is based on time series analysis.Several algorithms,such as gray GM(1,1)and ARMA(2n,2n-1),are given for solving the model.The result of calculation shows that the model is reasonable.
Keywords:irrigation water requirement time series analysis long term forecast
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