Rapid urbanization has intensified the “urban canyon” effect, leading to poor ventilation and pollutant accumulation in high-density residential areas. This study proposes an integrated optimization strategy coupling landscape vegetation with architectural morphology to enhance the pedestrian-level wind environment. Taking a typical subtropical urban block as the research object, a numerical model based on the Realizable k - ε turbulence model and passive scalar transport equation was established. The simulation accuracy was strictly validated against field measurements, yielding a Root Mean Square Error (RMSE) of 0.28 m/s and a correlation coefficient (R) of 0.89. Three scenarios—baseline, vegetation-only, and integrated optimization (coupling vegetation porosity, building setbacks, and ventilation corridors)—were evaluated. Results indicate that the integrated scheme (Scheme C) outperforms single-variable strategies. It increased the average pedestrian-level wind speed by 32.1% and reduced wind stagnant zones (U < 0.5 m/s) by 26.9%. Mechanistically, the optimized layout effectively mitigates high-pressure stagnation at windward corners while utilizing the Venturi effect to accelerate airflow in corridors, thereby significantly enhancing pollutant dispersion. This study establishes a quantitative “design-evaluation-feedback” framework, providing theoretical support for sustainable urban environmental planning.

computational fluid dynamics (cfd), urban wind environment, pollutant dispersion, integrated optimization, field validation