Temporal Distribution Characteristics of PM2.5 in Beijing and Its Influencial Factors

Abstract

Abstract With the development of China, the environmental problems become serious and attract much concern. Among all the problems, the air pollution caused by PM 2.5 is one of the most serious one. Therefore, this study focus on this problem and analyzes the season series distribution characteristics and influencing factors of PM2.5 through statistical analysis and Spearman and Pearson correlation coefficient method. According to the research result of this paper, the concentration of PM2.5 varies from low to high in spring, summer, winter and autumn. On the whole, PM2.5 concentration in Beijing is negatively correlated with temperature difference, relative humidity and precipitation. Besides, the PM2.5 concentration in Beijing shows a strong correlation with the local wind speed.