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《Geospatial Information》 2014-01
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Groundwater Regime Forecasting Based on Seasonal ARIMA Model

LI Guang;  
By analyzing the intrinsic trend and periodicity of the situ groundwater level data from 1996 to 2004, an appropriate seasonal ARIMA model was established to forecast the groundwater variations in 2005. After comparing with the actual value, the results were consistent with the situ data, with the average relative errors of about 2.5%. Evidences from the comparison show that the seasonal ARIMA model is suitable for forecasting the groundwater regime.
【Fund】: 国家自然科学青年基金资助项目(41204002);; 民政部减灾和应急工程实验室开放基金资助项目(LDRERE20120102)
【CateGory Index】: P641
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