Atmospheric reaeration is a key source of dissolved oxygen in rivers, plays a critical role for assessing aquatic ecosystem health and understanding the mechanisms that support ecological functions. However, traditional water quality models often fail to capture the temporal and spatial dynamics of the reaeration coefficient (k2), thereby hindering accurate predictions of dissolved oxygen concentration distributions. This study employed a recirculating water tank to conduct experiments under various wave and flow conditions, quantitatively analyzing the impact of hydrodynamic factors-such as water depth, flow velocity, and wave action-on oxygen transfer at the air-water interface. The results indicated that as water depth increases and flow velocity decreases, efficiency of oxygen transfer declines. This trend occurs because increased depths and reduced velocities diminish interface disturbance, thereby weakening gas-liquid exchange. Conversely, wave action significantly enhances oxygen transfer, particularly under stronger wave conditions. By integrating gas transfer theory with experimental data, we developed a mapping relationship between k2 and hydrodynamic variables. This framework enabled the development of a multi-parameter dynamic simulation model that integrates hydrodynamics with dissolved oxygen transfer. The model is based on real-time data of hydrodynamic parameters and realizes the dynamic update of the whole domain complex k2, which can accurately simulate the spatial and temporal distribution and transfer of dissolved oxygen under complex hydrodynamic conditions. Driven by dynamic data, the model greatly improves the applicability and accuracy of the traditional mean generalization model, and can be used as an effective tool for predicting dissolved oxygen levels in complex aquatic environments.