赵新宇,刘 青,费良军.宁夏青铜峡灌区年退水量时间序列预测模型研究[J].干旱地区农业研究,2015,33(6):254~256
宁夏青铜峡灌区年退水量时间序列预测模型研究
Research on time series prediction model of annual return water volume in Qingtongxia irrigation area
  
DOI:10.7606/j.issn.1000-7601.2015.06.42
中文关键词:  退水量  预测  时间序列  青铜峡灌区
英文关键词:return water volume  prediction  time series  Qingtongxia irrigation area
基金项目:江西省自然科学基金项目(2010GZC0184);江西重点科技成果转化项目(20142BBI90020)
作者单位
赵新宇 南昌工程学院水利工程研究中心 江西 南昌 330099 
刘 青 南昌工程学院水利工程研究中心 江西 南昌 330099 
费良军 西安理工大学水资源研究所 陕西 西安 710048 
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中文摘要:
      针对宁夏青铜峡灌区年退水量预测问题,采用时间序列方法分析了灌区年退水量特性,建立了预测模型,结果发现青铜峡灌区年退水量在年际间相互关联,其时间序列是一个非白噪声非平稳时间序列,一阶差分序列是一个非白噪声平稳序列,建立了ARIMA年退水量时间序列模型,模型模拟的平均相对误差为5.66%,预测的相对误差在5%以内,精度较高,可以用于灌区退水量的预测。
英文摘要:
      In order to address the prediction problem of return water in Qingtongxia irrigation area, this paper analyzed the properties of annual return water volume and built a prediction model by time series method. The research results showed that the return water volume exhibited a correlation pattern between years. Its time series was a non-white noise and non-stationary series, and its first-order differential sequence was a non-white noise and stationary series. As a result, a time series prediction model of annual return water volume had been established with an average relative simulation error of 5.66% and a relative prediction error up to 5%, demonstrating the high simulation and prediction accuracy of this model. Thereby, it could be used for the prediction of annual return water in irrigation area.
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