In　this　study,　the　Advanced　Regional　Prediction　System　(ARPS)　model　was　introduced　to　replace　the　default　weather　module　in　Models-3　Community　Multiscale　Air　Quality　(CMAQ)　modeling　system,　to　provide　a　complete　meteorological　dataset　required　for　urban　air　quality　simulations.　The　ARPS　model　was　chosen　because　of　its　nonhydrostatic　dynamics,　the　generalized　terrain-following　height　vertical　coordinate,　and　the　Arakawa-C　horizontal　grids,　which　are　identical　to　the　ones　used　in　CMAQ,　as　well　as　its　capabilities　of　simulating　assorted-scale　meteorological　circulations　within　a　large　spectrum　(especially　at　small　scales).　To　assess　its　performance,　the　integrated　ARPS-CMAQ　modeling　system　was　applied　to　Beijing,　China,　for　simulating　its　PM10　concentration.　The　study　region　was　delineated　into　a　two-level　nested-grid　domain　with　spatial　resolutions　of　12　and　4　km,　respectively.　Three　monitoring　stations　within　the　urban　area　of　Beijing　representing　different　categories　of　city　function　zones　were　selected　to　provide　measurement　data.　The　months　of　January　2002,　August　2002,　January　2004,　and　September　2004　were　used　as　target　months　for　model　performance　evaluation　through　scatter　plots　and　correlation　coefficient　analysis　between　the　simulated　concentrations　and　observed　data.　The　results　show　that　a　satisfactory　agreement　between　modeled　and　observed　data　has　been　reached.　The　integrated　ARPS-CMAQ　modeling　system　was　then　employed　to　investigate　two　PM10　pollution　episodes　that　occurred　during　the　periods　of　July　5-16　and　August　12-19　of　2002,　respectively.　It　was　found　that　the　transboundary　PM10　contributions　from　Beijing＇s　surrounding　provinces　played　a　leading　role　in　the　occurrences　of　both　PM10　pollution　episodes.　This　indicates　that,　while　Beijing　needs　to　take　positive　steps　to　reduce　its　own　pollution　emissions,　much　effort　should　also　be　placed　on　demanding　more　pollution　reduction　and　better　environmental　performance　from　its　surrounding　provinces.　This　study　represents　a　continuous　effort　in　combining　meteorological　models　with　air　quality　models　for　providing　an　integrated　scientific　modeling　tool　to　city　councils　for　addressing　the　crucial　air　quality　issues.