مقايسه روش‌هاي تخمين هدايت هيدروليكي سفره آب زيرزميني به منظور استفاده در مدل‌هاي شبيه‌سازي‌

Comparison of Aquifer Hydraulic Conductivity Estimation Methods for Use in Simulation Models

The current study investigated and compared data generation methods for groundwater modeling. These methods can be divided into two classes: geostatistic and probabilistic. By comparing geostatistic methods, the best method was chosen and the hydraulic conductivity of the aquifer was generated for a study area in a grid (9-cell) format. After observing weak spatial correlation between the data, the probabilistic method was then considered. The Monte Carlo technique was used for data generation for the governing distribution function using the probabilistic method. Finally, the results of the two methods were compared. The ground water model used in this research was PMW[N 5.3 (MODFLOW). This model was used to predict the future state of an aquifer by using the generated data and time series of precipitation. Existing input data processing, data generation by geostatistic/stochastic methods and representation of model output were performed using ARC/INFO GRID.