Spatial-Temporal Pattern and Influencing Factors of PM_(2. 5) Pollution in North China Plain

摘要

It is of great significance to reveal the spatiotemporal pattern of PM_(2. 5) pollution in North China Plain (NCP), and relative importance of influencing factors for controlling PM_(2. 5) pollution in NCR In this work, statistical models between PM_(2. 5) and a set of influential factors were firstly established to pinpoint the dominant factors contributing to PM_(2. 5) variations in NCP and to estimate the daily PM_(2. 5) dataset. The results of model attribution analysis showed that emission factors such as NO_2 and SO_2 were the two dominant influencing factors of PM_(2. 5) pollution in NCP, while temperature, relative humidity and wind speed were three main meteorological factors that significantly contributed to PM_(2. 5) pollution. Subsequently, spatiotemporal analysis results showed that there was obvious spatial agglomeration of PM_(2. 5) pollution in NCP, and the most serious PM_(2. 5) pollution occurred at Beijing and the junction of Hebei, Shanxi and Henan. Meanwhile, PM_(2. 5) pollution has a strong seasonal pattern, and the highest pollution is in winter while the lowest is in summer. In addition, PM_(2. 5) pollution level in NCP showed a downward trend from 2015 to 2020. Among them, the most serious PM_(2. 5) pollution in 2020 decreased most significantly, which was 71.52 % lower than that of 2019.