The relationships between PM2.5 and aerosol optical depth (AOD) in mainland China: About and behind the spatio-temporal variations. (May 2019)

• Record Type: Journal Article
• Authors: Yang, Qianqian; Yuan, Qiangqiang; Yue, Linwei; Li, Tongwen; Shen, Huanfeng; Zhang, Liangpei
• Is Part Of: Environmental pollution. Volume 248(2019)
• Page Start: 526
• Page End: 535
• Publication Date: 2019-05
• Subjects: PM2.5 -- AOD -- Relationships -- Spatio-temporal variations -- Influencing factors; Pollution -- Periodicals; Pollution -- Environmental aspects -- Periodicals; Environmental Pollution -- Periodicals; Pollution -- Périodiques; Pollution -- Aspect de l'environnement -- Périodiques; Pollution -- Effets physiologiques -- Périodiques; Pollution; Pollution -- Environmental aspects; Periodicals; Electronic journals; 363.73
• DOI: 10.1016/j.envpol.2019.02.071
• Languages: English
• ISSNs: 0269-7491

Abstract

Abstract: Satellite aerosol products have been widely used to retrieve ground PM2.5 concentration because of their wide coverage and continuous spatial distribution. While more and more studies have focused on the retrieval algorithms, the foundation for the retrieval—relationship between PM2.5 and satellite aerosol optical depth (AOD) has not been fully investigated. In this study, the relationships between PM2.5 and AOD were investigated in 368 cities in mainland China from February 2013 to December 2017, at different temporal and regional scales. Pearson correlation coefficients and the PM2.5 /AOD ratio were used as indicators. Firstly, we established the relationship between PM2.5 and AOD in terms of the spatio-temporal variations, and discuss the impact of some potential factors for a better understanding of the spatio-temporal variations. Spatially, we found that the correlation is higher in the Beijing-Tianjin-Hebei and Chengyu regions and weaker in coastal areas. The PM2.5 /AOD ratio shows an obvious north–south difference, with the ratio in North China higher than South China. Temporally, the correlation coefficient tends to be higher in May and September, with the PM2.5 /AOD ratio higher in winter and lower in summer. As for interannual variations, we detected a decreasing tendency for the PM2.5 -AOD correlation and PM2.5 /AOD ratio for recent years. Then, to determine the impact of the weakening of the PM2.5 -AOD relationship on PM2.5 remote sensing retrieval performance, a geographically weighted regression (GWR) retrieval experiment was conducted. The results showed that the performance of retrievals is also decreasing while PM2.5 -AOD relationship getting weaker. Our study investigated the PM2.5 -AOD relationship over a large extent at the city scale, and investigated the temporal variations in terms of interannual variations. The results will be useful for the satellite retrieval of PM2.5 concentration and will help us to further understand the PM2.5 pollution situation in mainland China. Graphical abstract: Image 1 Highlights: PM2.5 -AOD relationships are investigated in 368 cities in mainland China for five years. Significant spatio-temporal variations are found with weaker relationship in coastal areas and warm season. The relationships between PM2.5 and AOD are getting weaker in recent years. The performance of GWR retrieval for PM2.5 concentration is getting worse. Impact of meteorology, topography and aerosol type on PM2.5 -AOD relationships is discussed. Abstract : PM2.5 -AOD relationship is weaker in coastal areas and warm season in mainland China; and it is getting weaker since 2013 which results the weaker prediction ability of AOD for PM2.5 .