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The estimation of aquifer parameters is a critical issue in groundwater modeling. Traditionally, these parameters are determined using manual curve-matching techniques. However, the accuracy of these methods heavily relies on the modeler-s expertise, which can lead to graphical or human-induced errors. To address these challenges, a coupled simulation-optimization framework is proposed for identifying the hydrogeologic parameters of unconfined aquifer systems. In the simulation phase of the proposed framework, dra...