Amir Mollajan - M.Sc., Mineral Exploration Engineering, School of Mining Engineering, University College of Engineering,University of Tehran
Omid Asghari - Assistant professor, Simulation & Data Processing Laboratory, School of Mining Engineering, University Collegeof Engineering, University of Tehran

Hydrograph modeling and prediction of groundwater levels are the main concerns of mosthydrogeological calculations and water resource management process. The present study is anapplication of Sequential Gaussian Simulation (SGSim) method for predicting groundwater levelsusing recorded monthly data (180 months) related to 21 piezometers of Behbahan aquifer, southwestof Iran. To generate realization maps through SGSim method, data were transferred to Gaussiandistribution and then simulated 10 times for each month. Then, E_Type maps were produced to obtainhydrograph of interest. Finally, the iterative Box and Jenkins method was used to model the obtainedhydrograph. The capability of the resulted ARIMA (0, 1, 1) model was examined by calculatingcoefficient of determination (R2) and estimated root mean squared error (RMSE). For the obtainedmodel, R2 and RMSE were equal to 0.79 and 1.93, respectively. Drawing on the obtained hydrograph,it can be concluded that there is a significant decrease in groundwater level in the plain for upcomingmonths.

Behbahan aquifer, Box & Jenkins models, E_Type map, Sequential Gaussian Simulation(SGSim)