Time series analysis is carried out using multivariate auto-regressive model for the monitoring of temporal variations of groundwater behavior around the fill dam site. The filtered time series referring atmospheric temperature is suggested as the main manipulated variables in order to take the melting snow, which causes a sudden rise in the level of the river, into account. Its effectiveness is verified through analyzing the power contribution. The results of the regression show that the multivariate auto-regressive model using the proposed variables is very effective tool for the estimation of the groundwater behavior of the dam site.


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