An　integrated　Advanced　Regional　Prediction　System-Community　Multiscale　Air　Quality　modeling　system　was　employed　to　investigate　the　PM10　air　pollution　issue　in　Beijing,　China,　with　a　focus　on　assessing　contributions　from　road　fugitive　dust　(RFD).　A　two-level　nested　grid　domain　with　spatial　resolutions　of　12　and　4　km　was　designed　for　the　study　region,　and　the　months　of　January,　April,　July,　and　October　in　2006　were　taken　as　target　periods　for　the　model　simulations.　The　RFD　emission　inventory　for　2006　base　year　was　developed　and　provided　to　the　Advanced　Regional　Prediction　System-Community　Multiscale　Air　Quality　modeling　system　to　quantitatively　assess　the　PM10　contributions　from　RFD　in　Beijing.　Further,　both　baseline　and　attainment　scenarios　in　2010　were　designed　and　run　to　show　the　RFD　impacts　on　the　PM10　air　quality　in　Beijing.　Results　show　that,　independent　of　the　total　PM10　mass　in　Beijing,　the　absolute　contribution　of　RFD　to　the　total　PM10　is　around　36%.　Variations　in　the　PM10　concentrations　are　mainly　caused　by　regional　and　local　meteorological　effects.　Based　on　scenario　analysis,　if　there　are　no　further　control　measures　on　the　RFD　emissions,　under　the　same　meteorological　conditions　of　the　year　2006,　the　number　of　days　when　Beijing＇s　air　quality　is　at　polluted　level　will　increase　from　56　days　in　2006　to　82　days　in　2010　(+21%).　On　the　other　hand,　when　control　measures　are　carried　out,　the　days　will　decrease　from　56　days　in　2006　to　45　days　in　2010　(-9%),　although　the　number　of　vehicles　and　road　length　will　also　be　increased　at　that　time.　It　can　be　concluded　that　the　RFD　control　might　be　an　effective　way　to　reduce　PM　pollution　in　Beijing.