In　this　study,　a　new　method　was　proposed　to　systematically　identify　the　local　PM10　emission　sources　for　priority　regulation　in　urban　air　quality　management　through　a　coupled　MM5-CAMx-PSAT　modeling　system.　Parameters　of　emission　source　contribution　ratio　(ESCR)　and　normalized　local　ESCR　were　introduced　to　reflect　the　source　contribution　in　terms　of　its　total　emission　amount　and　per　unit　emission　amount,　and　were　used　for　identifying　the　emission　sources　for　priority　regulation.　The　proposed　method　was　then　applied　to　a　case　study　in　Beijing,　China.　Three　scenarios　were　examined,　including　(a)　analysis　of　only　seven　PM10　emission　source　categories　for　the　entire　Beijing;　(b)　analysis　of　just　13　emission　districts　in　Beijing;　and　(c)　comprehensive　analysis　of　seven　emission　source　categories　in　each　emission　district.　The　following　emissions　were　identified　for　priority　regulation:　(a)　stationary　emissions　from　the　urban　center　of　Beijing　and　Fengtai　districts;　(b)　industrial　fugitive　emissions　from　Chaoyang,　Fengtai,　and　Shijingshan　districts;　(c)　road　dust　emissions　from　the　urban　center　of　Beijing,　Chaoyang,　Fengtai,　Shijingshan,　and　Haidian　districts;　(d)　construction　site　dust　emissions　from　the　urban　center　of　Beijing,　Chaoyang,　Fengtai,　and　Haidian　districts;　(e)　bare　land　emissions　from　Chaoyang　district;　and　(f)　vehicle　exhaust　emissions　from　the　urban　center　of　Beijing,　Chaoyang,　Fengtai,　and　Haidian　districts.　Results　indicated　that　the　proposed　method　could　be　successfully　implemented　at　different　levels　for　different　air　quality　management　purposes.