In addition, based on the values of the simulated groundwater level, the modeling error can be determined on a monthly basis using error indices and the correlation coefficient (Table 1). According to this table, it can be seen that the prepared model can simulate the aquifer well and can be used to predict the future conditions of the aquifer according to the amount of harvesting on the plain.
Monthly error indices of simulated values by GMS model under unsteady conditions
Month . | Correlation coefficient . | Root-Mean-Square Deviation (RMSE) . |
---|---|---|
October | 0.99987 | 0.639 |
November | 0.9995 | 0.4 |
December | 0.99998 | 0.26 |
January | 0.99997 | 0.29 |
February | 0.99997 | 0.28 |
March | 0.99998 | 0.23 |
April | 0.99998 | 0.25 |
May | 0.99998 | 0.24 |
June | 0.99997 | 0.25 |
July | 0.99997 | 0.3 |
August | 0.99997 | 0.28 |
September | 0.99989 | 0.58 |
Month . | Correlation coefficient . | Root-Mean-Square Deviation (RMSE) . |
---|---|---|
October | 0.99987 | 0.639 |
November | 0.9995 | 0.4 |
December | 0.99998 | 0.26 |
January | 0.99997 | 0.29 |
February | 0.99997 | 0.28 |
March | 0.99998 | 0.23 |
April | 0.99998 | 0.25 |
May | 0.99998 | 0.24 |
June | 0.99997 | 0.25 |
July | 0.99997 | 0.3 |
August | 0.99997 | 0.28 |
September | 0.99989 | 0.58 |