Spatial-Temporal Pattern and Influencing Factors of PM2.5 Pollution in North China Plain
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School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China
School of Geographic Sciences, East China Normal University, Shanghai 200241, China
Disaster Reduction Center of Shandong Province, Jinan 250102, China
Submission date: 2022-02-02
Final revision date: 2022-02-22
Acceptance date: 2022-03-03
Online publication date: 2022-05-30
Publication date: 2022-07-12
Corresponding author
Mingliang Ma   

School of Surveying and Geo-Infomatics, Shandong Jianzhu University, 1000 Century Avenue, 250101, Jinan, China
Pol. J. Environ. Stud. 2022;31(4):3879–3891
It is of great significance to reveal the spatiotemporal pattern of PM2.5 pollution in North China Plain (NCP), and relative importance of influencing factors for controlling PM2.5 pollution in NCP. In this work, statistical models between PM2.5 and a set of influential factors were firstly established to pinpoint the dominant factors contributing to PM2.5 variations in NCP and to estimate the daily PM2.5 dataset. The results of model attribution analysis showed that emission factors such as NO2 and SO2 were the two dominant influencing factors of PM2.5 pollution in NCP, while temperature, relative humidity and wind speed were three main meteorological factors that significantly contributed to PM2.5 pollution. Subsequently, spatiotemporal analysis results showed that there was obvious spatial agglomeration of PM2.5 pollution in NCP, and the most serious PM2.5 pollution occurred at Beijing and the junction of Hebei, Shanxi and Henan. Meanwhile, PM2.5 pollution has a strong seasonal pattern, and the highest pollution is in winter while the lowest is in summer. In addition, PM2.5 pollution level in NCP showed a downward trend from 2015 to 2020. Among them, the most serious PM2.5 pollution in 2020 decreased most significantly, which was 71.52 % lower than that of 2019.