Application of Cuckoo Optimization Algorithm in Automatic Calibration of Aquifer Hydrodynamic Parameters Using Mathematical Model

Simulation of Aquifer behavior has great importance in order to identifying the measurement of operation and planning for sustainable usage of these resources. That is why groundwater models predicts qualitative and quantitative aquifer behavior by hydrological، hydraulically and hydrogeological parameters. Since appropriate identification of these parameters increases aquifer simulating accuracy therefore estimating reasonable values of model parameters is crucial real situations planning. In this study one model is provided according to advanced optimization methods for calibrating aquifer hydrodynamics parameters (Sy and k) in Birjand plains. The recommended model is a combination of simulating and optimizing model (Cuckoo Optimization Algorithm) in MATLAB. Calibration period was one year (water year 2010-2011) with monthly13 Stress period. In order to evaluating the value of optimized parameter (calibration period) Validation period was one year period (water year 2011-2012) with 13 monthly Stress period. The accuracy of calibration and validation of model was evaluated by Mean Absolute Error (MAE)، Root Mean Square Error (RMSE) and Mean Error (ME) criteria. The amounts of these criteria were respectively 0. 48، 0. 73 and 0. 17 in calibration period and these were respectively 0. 63، 0. 89 and 0. 32 in validation period. Results revealed that presented approach has high accuracy for reasonable estimation aquifer parameters.