The “spatial pattern-wind environment-air pollution” within building clusters is closely interconnected, where different spatial pattern parameters may have varying degrees of impact on the wind environment and pollutant dispersion. Due to the complex spatial structure within industrial parks, this complexity may lead to the accumulation and retention of air pollutants within the parks. Therefore, to alleviate the air pollution situation in industrial parks in China and achieve the circular transformation and construction of parks, this study takes Hefei Circular Economy Demonstration Park as the research object. The microscale Fluent model in computational fluid dynamics (CFD) is used to finely simulate the wind flow field and the diffusion process of pollutants within the park. The study analyzes the triad relationship and influence mechanism of “spatial pattern-wind environment-air pollution” within the park and studies the influence of different spatial pattern parameters on the migration and diffusion of pollutants. The results show a significant negative correlation between the content of pollutants and wind speed inside the industrial park. The better the wind conditions, the higher the air quality. The spatial morphology parameters of the building complex are the main influences on the condition of its internal wind environment. Building coverage ratio and degree of enclosure have a significant negative correlation with wind conditions. Maintaining them near 0.23 and 0.37, respectively, is favorable to the quality of the surrounding environment. Moreover, the average height of the building is positively correlated with the wind environment condition. The rate of transport and dissipation of pollutants gradually increases as the average building height reaches 16 m. Therefore, a reasonable building planning strategy and arrangement layout can effectively improve the wind environment condition inside the park, thus alleviating the pollutant retention situation. The obtained results serve as a theoretical foundation for optimizing morphological structure design within urban industrial parks.

建筑群内的“空间格局-风环境-空气污染”紧密相连，不同的空间格局参数可能对风环境和污染物扩散产生不同程度的影响。由于工业园区内空间结构复杂，这种复杂性可能导致园区内空气污染物的积累和滞留。因此，为缓解我国工业园区的空气污染状况，实现园区的循环化改造和建设，本研究以合肥循环经济示范园区为研究对象。采用计算流体力学（CFD）中的微尺度Fluent模型，精细模拟园区内的风流场和污染物扩散过程。研究分析了公园内“空间格局-风环境-大气污染”的三元关系和影响机制，研究了不同空间格局参数对污染物迁移和扩散的影响。结果表明，工业园区内污染物含量与风速呈显着负相关。风力条件越好，空气质量越高。建筑群的空间形态参数是对其内部风环境状况的主要影响。建筑覆盖率、围护程度与风况呈显着负相关。分别维持在0.23和0.37附近，有利于周围环境质量。而且，建筑物的平均高度与风环境条件呈正相关。随着平均建筑高度达到16 m，污染物输送和消散速度逐渐加快。因此，合理的建筑规划策略和布置布局可以有效改善园区内的风环境条件，从而缓解污染物滞留状况。所得结果可为优化城市工业园区形态结构设计提供理论基础。