عنوان مقاله [English]
Saturated hydraulic conductivity and effective porosity are important parameters in groundwater modeling, water movement in the soil and solute transport. This study aimed to evaluate the accuracy of prediction of these two parameters simultaneously using numerical solution of one-dimensional Boussinesq equations governing the unsteady and saturation flow. In the proposed inverse method the genetic algorithm method for optimization and from control volume method for numerical solution of the governing equation are used. In order to collecting the required data a physical model with the length of 4 meters, a width of 2 meters and a height of 1.8 meters was used and the height of water table was read by 20 observation wells embedded in the model in different times. The value of saturated hydraulic conductivity (k) and effective porosity (µ) was measured directly. The result showed that genetic algorithm is a powerful tool for optimization of inverse method because in this study saturated hydraulic conductivity and effective porosity were evaluated with a high accuracy. Result showed that the height of water table was predicted with reasonable accuracy by inverse method, so that statistical parameters RMSE, MAE, ME, EF are 22, 18, 53 mm and 94 percent, respectively. The result implies that over time caused the used method has high accuracy so the ability to predict in the end times reverse the first time.