Abstract: Based on daily averaged values of PM_2.5 mass concentration in Beijing-Tianjin-Hebei Urban Agglomeration from 2014 to 2016, this study employed ArcGIS 10.2 to analyze the temporal-spatial characteristics of pollution distribution. The spatial correlation of indices such as the percentage of superior, heavily and severely polluted days during typical PM_2.5 months was also performed. The results show that the profile of the monthly rate of non-polluted days was consistent with the trend of the overall air quality fluctuation during the observation period. The higher proportion of PM_2.5-superior period was concentrated from May to September. The heavily and severely polluted days spanned between November and February. From the regional distribution, the proportional spatial pattern of PM_2.5 heavy and severe pollution decreased from central cities as Shijiazhuang and Baoding to surrounding places. The typical months were selected to carry out spatial correlation of PM_2.5. Corresponding results indicate that PM_2.5 had a positive spatial correlation. The spatial distribution of PM_2.5 mass concentration showed spatial clustering profile.