Air　pollution　has　become　the　world＇s　largest　human　health　and　environmental　risk　factor.　This　study　used　the　greenhouse　gas　and　air　pollution　interactions　and　synergies　model　to　analyze　the　emissions,　emission　reduction　potential,　and　health　impacts　of　atmospheric　pollutants　(SO2,　NOx,　and　PM2.5)　in　31　regions　of　China　(excluding　Hong　Kong,　Macau,　and　Taiwan).　Meanwhile,　the　spatial　aggregation　of　atmospheric　pollutants　was　studied　by　combining　the　spatial　autocorrelation　Moran　index.　Research　results　indicate　that　under　the　background　of　implementing　pollution　control　policies　and　advancing　emission　reduction　technologies,　the　emissions　of　SO2　and　NOx　are　expected　to　significantly　decrease　by　2030,　demonstrating　significant　potential　for　emission　reduction.　Moreover,　some　regions　in　East　China,　such　as　Zhejiang,　Shandong,　and　Jiangsu,　with　significant　emission　reduction　and　potential,　exhibit　relatively　high　GDP　and　power　generation.　This　finding　also　includes　regions　with　abundant　and　intensive　energy　reserves　such　as　Shanxi.　In　addition,　significant　agglomeration　effects　and　spatial　regional　differences　in　atmospheric　pollutant　emissions　are　observed.　The　results　of　spatial　autocorrelation　analysis　show　that　by　2030,　the　spatial　clustering　level　of　SO2　emissions　will　be　strengthened,　whereas　that　of　NOx　emissions　will　be　reduced.　Furthermore,　in　terms　of　health　impacts,　a　significant　reduction　in　PM2.5　emissions　and　attributable　deaths　is　forecasted　by　2030.　Among　them,　Guangdong　Province　has　the　highest　reduction　in　PM2.5　attributable　deaths,　reaching　48,332　people,　whereas　Hainan　Province　has　the　highest　reduction　rate　in　PM2.5　attributable　deaths,　reaching　92%.　Therefore,　we　should　formulate　reasonable　emission　reduction　measures　to　promote　high-quality　economic　and　social　development　in　the　region.