摘要
本研究汲取了时序分析和多元回归分析各自的优点，提出了地下水位拟合及预报的时序回归模型，模型既体现了地下水位与相关因子的相关关系，又反映了地下水位自身的时序关系。可广泛应用于地下水动态预测预报。
On the base of adopting the value of time series and multiple regression analysis, the author puts foward the model of time series regression,using in the fitting and forecasting of water table. The model embodys both the relation of water table and correlation factor and the time series relation of water table itself, so can be applied in dynamic predication of groundwater widely
出处
《新疆农业大学学报》
CAS
1998年第3期171-175,共5页
Journal of Xinjiang Agricultural University
关键词
地下水位拟合
序列相关模型
地下水
动态预报
groundwater dynamil seate
time series regression
multiple regression
ARMA( p
q ) model
