Inverse modeling application for aquifer parameters estimation using a precise simulation–optimization model

Abstract In this research, a simulation–optimization (S/O) model is used in order to estimate aquifer parameters on two aquifers. model, meshless local Petrov–Galerkin (MLPG) for simulation purpose and modified teaching–learning-based optimization (MTLBO) algorithm engaged as model. Linking these powerful models generates S/O named MLPG-MTLBO. The proposed applied aquifers: standard real field aquifer. aquifer, are only transmissivity coefficients x y direction three zones. acquired results by MLPG-MTLBO really close true values. This fact presents the power of inverse Therefore, it Unconfined Birjand recognized case study. Parameters which needed be estimated specific yields hydraulic conductivity coefficients. These computed entered groundwater flow achieved table compared with observation data RMSE calculated. value 0.356 m; however, error criterion MLPG FDM 0.757 m 1.197 m, respectively. means that estimation precise makes reduce from also, an accurate aim.