[en] Study area lies in the River Nile state North Central of Sudan between latitudes 17^o 34 - 18^o 00 N and longitudes 33^o 55 - 34^o 43 E. The geological settings of the study area are composed of pre-Cambrian Basement Complex, upper Cretaceous Nubian sandstone formation, Oligocene Hudi Chert, and quaternary superficial deposits in ascending order. Generally there are two main aquifers: shallow or upper aquifer in the alluvial deposits (5 - 37 m thick) and deep or lower aquifer in cretaceous Nubian sand stone (17 - 60 m). The upper aquifer is semi confined, whereas, the lower aquifer is almost confined except in the area around Atbara Town. Hydraulic conductivities of the aquifer varies between 1.89 x 10^-1 to 8.95 x 10^-1 m/min. Most of the water quality in the study area is suitable for domestic, agriculture, and industrial used with the exception of small pockets at Atbara town and some village in West of study area where salinity and contaminations were detected. Generally most of water quality in the study area is fit for human consumption. The ground water flow model of the study area was constricted using 40 column, 50 rows and 3 layers, forming 6000 cells covering the model domain. The model was calibrated using 3D Finite difference visual MODFLOW. The model calibration criteria such as mean absolute error (MAE), root mean square error (RMS) and mass balance error of water into and of out of the system were adjusted to less 1.3, 1.6 m, and 2.5% respectively. The contour maps of the simulated heads produced by visual MODFLOW show fair similarity with the contour map drawn using initial heads which confirm the reliability of Visual MODFLOW application and acceptable model calibration for the problem. As the result of model prediction, the calibration seemed to be more acceptable with average (RMS) of 2.5 m and average absolute mean error (AM) of 1.38 m and average normalized root mean square (NRMS) of (2.02%). Prediction results reflect the increasing of drawdown from 3.9, 8.2 to 12.53 m at the years 2006, 2010 and 2016 respectively. (Author)