Currently,there are few studies on the relationship between climate change and air quality,and most of those which do exist adopt the method of statistical downscaling. Here,we use a dynamic downscaling method to prepare WRF initial and boundary conditions with CCSM4 output under the CMIP5 RCP8. 5 scenarios,and choose MEIC 2012 Data as CMAQ input inventory data in the Beijing-Tianjin-Hebei Region. In order to explore the impacts of meteorological conditions on air quality,monthly variation characteristics of PBL height (PBLH), relative humidity (RH), wind velocity, temperature and air pollutant concentrations were analyzed and compared between forecast years (2049,2050,2051) and baseline year (2005). The results indicated that in the case of constant emissions and RCP8. 5 scenario,the meteorological conditions would become increasingly detrimental to atmospheric pollutant dispersion. In the forecast years: annual average temperature would increase about 0. 8 ℃; annual average wind speed,RH and PBLH would decrease about 0. 11 m/s,2% and 8 m respectively; and annual average concentrations of PM_(2. 5),SO_2 and NO_x would increase about 2. 4,1. 8 and 1. 0 mug/m~3 respectively. The decline in surface wind speed and lower PBLH should be the main factors influencing the increasing trend of atmospheric pollutants; the correlation coefficients between PM_(2. 5) concentration and wind speed and PBLH were -0. 44 and -0. 26 respectively. The results indicate that climate change will affect regional air quality,but the impact intensity is still uncertain due to the lack of future emission scenarios that are used in air quality models. Furthermore,the physical/chemical mechanisms among the mutual influence process between meteorological factors and pollutant dispersion also need to be further studied.