Articles | Volume 21, issue 21
https://doi.org/10.5194/acp-21-16219-2021
https://doi.org/10.5194/acp-21-16219-2021
Measurement report
 | 
04 Nov 2021
Measurement report |  | 04 Nov 2021

Measurement report: Spatiotemporal and policy-related variations of PM2.5 composition and sources during 2015–2019 at multiple sites in a Chinese megacity

Xinyao Feng, Yingze Tian, Qianqian Xue, Danlin Song, Fengxia Huang, and Yinchang Feng

Related authors

Dust-driven changes in particle pH differentially regulate secondary inorganic aerosol formation in central China
Hongyu Zhang, Yating Zhang, Yang Xiao, Xiaohui Bi, Shenbo Wang, Qili Dai, and Yinchang Feng
EGUsphere, https://doi.org/10.5194/egusphere-2026-3573,https://doi.org/10.5194/egusphere-2026-3573, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Improving imputation of missing PM2.5 speciation data using PMF-informed source-receptor relationships
Wubin Zhu, Mingjie Xie, Qili Dai, Xiaohui Bi, Yufen Zhang, and Yinchang Feng
Atmos. Meas. Tech., 19, 4219–4231, https://doi.org/10.5194/amt-19-4219-2026,https://doi.org/10.5194/amt-19-4219-2026, 2026
Short summary
Impact of the Chinese Spring Festival on PM2.5 air quality in the Beijing-Tianjin-Hebei and surrounding region: a machine learning-based counterfactual modeling approach
Yuan Li, Qili Dai, Wubin Zhu, Xuan Liu, Jiandong Shen, Renchang Yan, Yunshan Li, Jing Ding, Young Su Lee, Yufen Zhang, and Yinchang Feng
Atmos. Chem. Phys., 26, 5553–5566, https://doi.org/10.5194/acp-26-5553-2026,https://doi.org/10.5194/acp-26-5553-2026, 2026
Short summary
China Open Biomass Burning Emissions Inventory (COBBEI) from 2020 to 2023: Multi-Satellite Fusion via FRP-Based Filtering Rules
Jingwen Shi, Yaqin Ji, Wenju Xu, Ruixing Shen, Jiaofan Ma, Yuexin Zhao, Xingchen Zhou, Yushang Ma, and Yinchang Feng
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-427,https://doi.org/10.5194/essd-2025-427, 2025
Manuscript not accepted for further review
Short summary
Review of source analyses of ambient volatile organic compounds considering reactive losses: methods of reducing loss effects, impacts of losses, and sources
Baoshuang Liu, Yao Gu, Yutong Wu, Qili Dai, Shaojie Song, Yinchang Feng, and Philip K. Hopke
Atmos. Chem. Phys., 24, 12861–12879, https://doi.org/10.5194/acp-24-12861-2024,https://doi.org/10.5194/acp-24-12861-2024, 2024
Short summary

Cited articles

Almeida, S. M., Pio, C. A., Freitas, M. C., Reis, M. A., and Trancoso, M. A.: Source apportionment of fine and coarse particulate matter in a sub-urban area at the Western European Coast, Atmos. Environ., 39, 3127–3138, https://doi.org/10.1016/j.atmosenv.2005.01.048, 2005. 
Amap: POI (point of interest), Amap [data set], available at: http://lbs.amap.com/api/webservice/guide/api/search/, last access: 2 June 2021. 
Amato, F. and Hopke, P. K.: Source apportionment of the ambient PM2.5 across St. Louis using constrained positive matrix factorization, Atmos. Environ., 46, 329–337, https://doi.org/10.1016/j.atmosenv.2011.09.062, 2012. 
Amil, N., Latif, M. T., Khan, M. F., and Mohamad, M.: Seasonal variability of PM2.5 composition and sources in the Klang Valley urban-industrial environment, Atmos. Chem. Phys., 16, 5357–5381, https://doi.org/10.5194/acp-16-5357-2016, 2016. 
Download
Short summary
This study focused on PM2.5 compositions and sources and explored their spatiotemporal and policy-related variations based on observation at 19 sites during wintertime of 2015–2019 in a fast-developing megacity. We found that PM2.5 compositions for the outermost zone in 2019 were similar to those for the core zone 2 or 3 years ago. Percentage contributions of coal and biomass combustion dramatically declined in the core zone, while the traffic source showed an increasing trend.
Share
Altmetrics
Final-revised paper
Preprint