The function of urban green spaces within the urban ecosystem should not be underestimated; therefore, optimizing the urban green space planning system is of great importance. In this research, City S was chosen as the representative study area; the urban green space network structure was developed according to the “four belts, three rings, seven wedges, and network linkages” model. By employing CFD simulation technology together with RS and GIS methods, the relationships and variation trends of wind speed, SO₂ concentration, and temperature were examined comprehensively, thereby confirming the effectiveness of the optimization scheme. Based on the analytical findings, numerical simulation errors for wind speed, SO₂ concentration and temperature are relatively small, satisfying the demands for simulation accuracy at the urban scale. The optimized urban ventilation environment is good, with the SO₂ concentration being in the range from 0–0.05169 mg/m³. Meanwhile, the urban heat island has been effectively controlled. Therefore, the proposed method in this paper can provide better optimization suggestions for urban green space system planning.
