Swamping in arid and semi-arid regions has become a critical environmental and agricultural challenge, particularly in areas affected by rising groundwater levels. The Farrokhabad region, located approximately five kilometers southwest of Dehloran city in western Iran, is experiencing such conditions due to elevated water tables. Field observations, community consultations and analysis of prior research indicate that surface water inflows particularly from municipal wastewater and the Abgarm spring play a significant role in exacerbating groundwater rise and land salinization. This study employed the ModFlow numerical model within the GMS software platform to perform a quantitative simulation of the Dehloran aquifer, with the objective of identifying the primary drivers of waterlogging and assessing potential mitigation strategies. Following steady-state and transient calibration and validation, four management scenarios were evaluated over a one-year hydrological period: operation of the Abgarm spring water transfer project, a 50% reduction in surface inflow, activation of licensed abstraction wells, and a 20% increase in groundwater pumping The modeling results revealed that conjunctive management of surface and groundwater particularly the reduction of surface inflow had the most pronounced effect, lowering the water table by up to 3.5 meters in the Farrokhabad monitoring well. This study not only provides a validated hydrological model of the region but also quantitatively demonstrates the impact of human activities on aquifer conditions. The research offers a practical framework for integrated groundwater management and may serve as a transferable model for application in other plains with comparable hydrogeological challenges.