OPTIMAL MANAGEMENT OF GROUNDWATER PUMPING RATE AND LOCATIONS OF WELLS: OPTIMIZATION USING TABU SEARCH AND GENETIC ALGORITHMS METHOD

A two-dimensional mathematical, model is developed to simulate the flow regime, of the upper part of Dibdibba Formation. The proposed, conceptual model, which is advocated to simulate the flow regime of aquifer is fixed for one layer, i.e. the activity of the deeper aquifer is negligible. The model is calibrated using, trial and error method. According to the calibration process, the hydraulic characteristics of the upper aquifer has been identified the hydraulic conductivity in the study area ranged (60-200) m/day while the specific, yield ranges, between, (0.08- 0.45).In this research, the obtaining of the optimum management of groundwater flow by linked simulationoptimization model. MODFLOW packages are used to simulate the flow in the system of groundwater. This model is completed with an optimization model which is depending on the Genetic Algorithm (GA) and Tabu Search (TS). Two management cases (fixed well location and flexible well location with the moving, well option) were considered by executing the model with adopting calibratedparameters. In the, first case the objective function is converged to a maximum value of (3.35E+5 m3 /day) by using GA, while this function is closed to 4.00E+5 m3 /day by using TS. The objective function in second case converges to the maximum value (7.64E+05m3 /day) and (8.25E+05m3 /day) when using GA and TS respectively. The choice option for the optimal location of the wells in the second case leads to an increase of 106% of the total, pumping rates, compared to the first, case. The results of the first and second cases shown that the total value of pumping rate from all pumping wells by using TS is better than the total value of pumping rate by using GA.