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DOI	10.1016/j.atmosres.2020.105021
	Variation of industrial air pollution emissions based on VIIRS thermal anomaly data
	Sun S.; Li L.; Wu Z.; Gautam A.; Li J.; Zhao W.
发表日期	2020
ISSN	0169-8095
卷号	244
英文摘要	The Beijing-Tianjin-Hebei (BTH) region is the largest industrial cluster in northern China and its most prominent air pollution zone. Industrial emissions of PM2.5, SO2, NOx and other pollutants have a significant impact on regional air quality. Monitoring industrial pollution emissions is of great significance for the prevention and control of air pollution. The VIIRS Nightfire products can detect thermal anomalies in heavy industrial sectors, thus providing a new means for monitoring industrial activities. In this study, the VIIRS 375 product was selected to study the spatial and temporal changes of the heavy industrial thermal anomalies through spatial analysis and mathematical statistics methods. Furthermore, it is the first time to use thermal anomaly radiative power (CTRP) to evaluate the spatiotemporal pattern of industrial pollution emissions and its impact on air quality in the BTH region. We observed that the spatial distribution of CTRP was unbalanced and that Tangshan-Tianjin and Handan-Xingtai- Shijiazhuang were found to be high-density pollution areas. The CTRP in Tangshan and Handan were higher than in other cities, accounting for 72.41% of their area. From 2012 to 2018, CTRP in this region decreased by 17.2% per year while in Langfang decreased by 72.9% per year. The CTRP also showed a significantly positive correlation with industrial energy consumption. Emissions of SO2, NO2, and PM2.5 were high in the area of intense distribution of thermal anomalies. When compared to the density of tropospheric NO2 and SO2 columns and the monitored concentrations of SO2 and PM2.5, CTRP was consistent with the trend of interannual variations and spatial distributions. The energy-saving and emissions reduction measures taken by the industrial sector in the BTH contributed significantly to improving regional air quality. Remote sensing-based monitoring can provide regional industrial energy consumption in real-time and reflect pollution emissions, providing a basis for industrial pollution emissions regulation and reduction policy. © 2020 Elsevier B.V.
英文关键词	Air pollution; CTRP; Industrial emissions; Remote sensing; VIIRS Nightfire
语种	英语
scopus关键词	Air quality; Emission control; Energy conservation; Energy policy; Nitrogen oxides; Pollution detection; Quality control; Remote sensing; Spatial distribution; Statistics; Thermal pollution; Industrial activities; Industrial energy consumption; Interannual variation; Mathematical statistics methods; Positive correlations; Prevention and controls; Spatial and temporal changes; Spatiotemporal patterns; Energy utilization; air quality; atmospheric pollution; concentration (composition); industrial emission; nitrogen oxides; particulate matter; sulfur dioxide; temperature anomaly; VIIRS; Beijing [China]; China; Hebei; Tangshan; Tianjin
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/141864
作者单位	School of Resources, Environment & Tourism, Capital Normal University, No. 105, West Third Ring Road, Haidian District, Beijing, 100048, China; Beijing Municipal Environmental Monitoring Center, No. 14, Chegongzhuang West Road, Haidian District, Beijing, 100048, China
推荐引用方式 GB/T 7714	Sun S.,Li L.,Wu Z.,et al. Variation of industrial air pollution emissions based on VIIRS thermal anomaly data[J],2020,244.
APA	Sun S.,Li L.,Wu Z.,Gautam A.,Li J.,&Zhao W..(2020).Variation of industrial air pollution emissions based on VIIRS thermal anomaly data.Atmospheric Research,244.
MLA	Sun S.,et al."Variation of industrial air pollution emissions based on VIIRS thermal anomaly data".Atmospheric Research 244(2020).