Air　pollution　has　a　serious　fallout　on　human　health,　and　the　influences　of　the　different　urban　morphological　characteristics　on　air　pollutants　cannot　be　ignored.　In　this　study,　the　relationship　between　urban　morphology　and　air　quality　(wind　speed,　CO,　and　PM2.5)　in　residential　neighborhoods　at　the　meso-microscale　was　investigated.　The　changes　in　the　microclimate　and　pollutant　diffusion　distribution　in　the　neighborhood　under　diverse　weather　conditions　were　simulated　by　Computational　Fluid　Dynamics　(CFD).　This　study　identified　five　key　urban　morphological　parameters　(Building　Density,　Average　Building　Height,　Standard　Deviation　of　Building　Height,　Mean　Building　Volume,　and　Degree　of　Enclosure)　which　significantly　impacted　the　diffusion　and　distribution　of　pollutants　in　the　neighborhood.　The　findings　of　this　study　suggested　that　three　specific　strategies　(e.g.　volume　of　a　single　building　should　be　reduced,　DE　should　be　increased)　and　one　comprehensive　strategy　(the　width　and　height　of　the　single　building　should　be　reduced　while　the　number　of　single　buildings　should　be　increased)　could　be　illustrated　as　an　optimized　approach　of　urban　planning　to　relief　the　air　pollution.　The　result　of　the　combined　effects　could　provide　a　reference　for　mitigating　air　pollution　in　sustainable　urban　environments.　©　2021