Using　statistical　product　service　solutions（SPSS），geographic　information　system（GIS），and　comprehensive　air　quality　model　with　extensions-particulate　matter　source　apportionment　technology（CAMx-PSAT）models，this　study　analyzed　the　spatio-temporal　distribution　correlation　of　air　pollutant　concentrations，regional　particle　pollutant　industry　traceability，and　spatial　traceability　in　Beijing　in　2022　to　improve　the　ambient　air　quality　and　explore　the　sources　of　air　pollution.　Results　indicated　that　the　particulate　matter　pollution　in　Beijing　exhibited　a　step-wise　concentration　increase　with　PM10（i.e.，aerodynamic　diameter　of　＜10.0　μm）concentration　showing　a　trend　of　high　in　the　south　and　low　in　the　north.　The　PM10　concentration　were　dominate　by　vehicle　and　industrial　sources　with　the　contribution　of　20%　and　50%，respectively.　The　PM2.5（i.e.，aerodynamic　diameter　of　＜2.5　μm）concentration　showed　a　trend　of　high　in　the　southeast　and　low　in　the　northwest　with　the　highest　contribution　from　industrial　sources（37%）.　The　PM10　concentration　in　Tongzhou　District　showed　high　sensitive　to　vehicle　sources，with　the　contribution　of　15%　and　18%　for　pollution　processes　I　and　II，respectively.　The　dominate　PM2.5　contributor　was　industrial　source，with　the　contribution　of　37%　and　54%　for　pollution　processes　I　and　II，respectively.　Non-local　sources　were　the　dominate　PM10　contributor　during　pollution　process　I　in　Tongzhou　district　with　the　contribution　of　72%，while　local　sources　for　process　II（51%）.　Non-local　sources　were　also　the　dominate　PM2.5　contributor　in　Tongzhou　district，with　the　contribution　of　68%　and　72%　for　pollution　processes　I　and　II，respectively.　The　study　indicates　that　the　air　quality　change　in　Beijing　is　related　to　pollution　sources　and　regional　transportation.　It　is　recommended　to　strengthen　synergistic　emission　reduction　with　neighboring　cities　and　implement　refined　pollution　source　emission　control.　©　2024　Science　Press.　All　rights　reserved.