Quantitative Modeling of Groundwater Using GMS-MODFLOW (Case Study: Shamil Aquifer in the Hormozgan Province)

Document Type : Research paper

Authors

1 M.Sc. Alumnus, Department of Water Science and Engineering, Faculty of Agriculture and Natural Resources, University of Hormozgan, Bandar Abbas, Iran.

2 Associate Professor, Department of Water Science and Engineering, Faculty of Agriculture and Natural Resources, University of Hormozgan, Bandar Abbas, Iran.

10.22034/hydro.2024.62911.1318

Abstract

Groundwater (GW) is a crucial water supply source in Hormozgan province. However, the GW resources are threatened due to excessive extraction, climate change, and consecutive droughts in this province. Therefore, evaluating the sustainability of GW resources is essential in this area. The present study aimed to calibrate and validate a suitable hydrological model of the Shamil aquifer and predict the effect of different management strategies on the aquifer condition. The MODFLOW model and Groundwater Modeling System (GMS) software were used to develop a conceptual model, and evaluate GW behavior and future trends. In the model calibration stages, the difference between observational and computational GW levels was assessed by the root mean square error (RMSE) criterion. The RMSE values were obtained as 1.2 and 1.4 for steady and unsteady calibration, respectively, indicating an acceptable accuracy of the constructed model. The model calibration in both steady and unsteady states revealed that the northern, central, and southern parts of the Shamil aquifer have the highest hydraulic conductivity coefficients, ranging about from 20 to 50 m/day. The model predictions indicate a GW level decline of approximately 0.4 m/year in this aquifer. The model run with strategies of reducing GW extraction by 20%, 10%, and 30% indicates that GW will levels increase by 5.3%, 5.4%, and 5.5%, respectively.

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