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时间序列的疏系数季节模型在地下水动态模拟中的应用
引用本文:成绍华. 时间序列的疏系数季节模型在地下水动态模拟中的应用[J]. 中国农村水利水电, 1994, 0(7)
作者姓名:成绍华
作者单位:水利部农田灌溉研究所
摘    要:由于地下水埋深受气象因素影响呈现年周期变化,且因气候的波动和生态环境的变迁,使地下水埋深在不同年份相同阶段并不相同。将时间序列的季节模型用于人民胜利渠古黄河背河洼区、漫滩区月平均地下水埋深动态建模之中。计算结果表明,模型为疏系数季节模型,模型精度显著高于自回归模型。

关 键 词:地下水,埋深,模型

Application of the Dispersed Coefficient Seasonal Model of Time Series in Modelling of Groundwater Regime
Cheng Shaohua[Institute of Farmland Irrigation of the Ministry of Water Resources,Henan Xinxiang,). Application of the Dispersed Coefficient Seasonal Model of Time Series in Modelling of Groundwater Regime[J]. China Rural Water and Hydropower, 1994, 0(7)
Authors:Cheng Shaohua[Institute of Farmland Irrigation of the Ministry of Water Resources  Henan Xinxiang  )
Affiliation:Cheng Shaohua[Institute of Farmland Irrigation of the Ministry of Water Resources,Henan Xinxiang,453003)
Abstract:The groundwater table is always varied in the same stage of different year because the groundwater table is changed yearly and periodically effected by the meterological factors and the fluctuating weather and the variable ecologic environment. The seasonal model of time series is used for modelling the monthly average groundwater table of the depression area of the old yellow river in the People' s Victory Canal District. The calculation results show that the precision of jibe dispersed coefficient seasonal model is much higher than the autoregression model.
Keywords:groundwater  groundwater table  model  
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