Application of Time-series Analysis Method on Groundwater Level Prediction
Yuanyuan Shen · South-to-north Water Transfers and Water Science & Technology · 2007
According to the month-average groundwater level data in Beijing, the dynamic simulating and forecasting model of groundwater level is established respectively by using autoregression model, index smooth model and seasonal model, and the accuracy of models is analyzed contrastively. The analysis of the application example shows that the time-series model synthetically reflects the variation rules of groundwater level. Because of simple computation and less demand of data, the time-series model is a simple simulation and forecast model of groundwater level and can supply referenced basis for reasonable using and scientific management of groundwater resources.