时间序列分析在地下水动态预测中的应用  

The Application of Time Series Analysis in Groundwater Dynamic Prediction

作　　者：李文超[1,2] 

机构地区：[1]东北林业大学,黑龙江哈尔滨150040 [2]黑龙江省水土保持科学研究院,黑龙江哈尔滨150070

出　　处：《安徽农业科学》2015年第32期132-135,共4页Journal of Anhui Agricultural Sciences

摘　　要：建立了基于时间序列分析的地下水埋深动态模型,并对垦区地下水水位进行了预测。结果表明,当样本容量足够大时,该方法的预测结果具有很高的精度以及稳定性,可以应用于地下水埋深的动态预测中。The embedded depth dynamic model of groundwater based on time series analysis was established, and the groundwater level of the land reclamation area was forecasted. The results showed that when the sample size is large enough, the predictive results of the method has high accuracy and stability, which can be used for dynamic prediction of groundwater depth.

关 键 词：地下水水位 动态预测 时间序列模型 

分 类 号：S273.4[农业科学—农业水土工程]