Model of long-term water-table dynamics at Doñana National Park

A model of long-term (10 years) dynamics of the water-table in the Doñana National park is presented. The model is based on a linear regression analysis of data from a group of 24 piezometers, predicting the increments of the water-table at given time-steps. Rainfall, present depth of the water-table, average maximum temperatures and lapse time between two measurements have been used as independent variables. The regressions reach r2-values over 0.8. The model prediction of the water-table dynamics based on the regression equations fits the data for most of the measurement points. Differences in the coefficients of variables obtained for the piezometers reflect the different dynamics of the water-table of ponds and the dune area.