Measurement report: Spatiotemporal and policy-related variations of PM<sub>2.5</sub> composition and sources during 2015–2019 at multiple sites in a Chinese megacity

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

doi:https://doi.org/10.5194/acp-21-16219-2021

Articles | Volume 21, issue 21

https://doi.org/10.5194/acp-21-16219-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-21-16219-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 21

Measurement report

|

04 Nov 2021

Measurement report |

| 04 Nov 2021

Measurement report: Spatiotemporal and policy-related variations of PM_2.5 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

Yuan Li, Qili Dai, Wubin Zhu, Xuan Liu, Jiandong Shen, Renchang Yan, Yunshan Li, Jing Ding, Young Su Lee, Yufen Zhang, and Yinchang Feng

EGUsphere, https://doi.org/10.22541/essoar.174559329.93866726/v2,https://doi.org/10.22541/essoar.174559329.93866726/v2, 2025

This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

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

Technical note: Influence of different averaging metrics and temporal resolutions on the aerosol pH calculated by thermodynamic modeling

Haoqi Wang, Xiao Tian, Wanting Zhao, Jiacheng Li, Haoyu Yu, Yinchang Feng, and Shaojie Song

Atmos. Chem. Phys., 24, 6583–6592, https://doi.org/10.5194/acp-24-6583-2024,https://doi.org/10.5194/acp-24-6583-2024, 2024

Short summary

The effect of emission source chemical profiles on simulated PM_2.5 components: sensitivity analysis with the Community Multiscale Air Quality (CMAQ) modeling system version 5.0.2

Zhongwei Luo, Yan Han, Kun Hua, Yufen Zhang, Jianhui Wu, Xiaohui Bi, Qili Dai, Baoshuang Liu, Yang Chen, Xin Long, and Yinchang Feng

Geosci. Model Dev., 16, 6757–6771, https://doi.org/10.5194/gmd-16-6757-2023,https://doi.org/10.5194/gmd-16-6757-2023, 2023

Short summary

Dramatic changes in atmospheric pollution source contributions for a coastal megacity in northern China from 2011 to 2020

Baoshuang Liu, Yanyang Wang, He Meng, Qili Dai, Liuli Diao, Jianhui Wu, Laiyuan Shi, Jing Wang, Yufen Zhang, and Yinchang Feng

Atmos. Chem. Phys., 22, 8597–8615, https://doi.org/10.5194/acp-22-8597-2022,https://doi.org/10.5194/acp-22-8597-2022, 2022

Short summary

An interlaboratory comparison of aerosol inorganic ion measurements by ion chromatography: implications for aerosol pH estimate

Jingsha Xu, Shaojie Song, Roy M. Harrison, Congbo Song, Lianfang Wei, Qiang Zhang, Yele Sun, Lu Lei, Chao Zhang, Xiaohong Yao, Dihui Chen, Weijun Li, Miaomiao Wu, Hezhong Tian, Lining Luo, Shengrui Tong, Weiran Li, Junling Wang, Guoliang Shi, Yanqi Huangfu, Yingze Tian, Baozhu Ge, Shaoli Su, Chao Peng, Yang Chen, Fumo Yang, Aleksandra Mihajlidi-Zelić, Dragana Đorđević, Stefan J. Swift, Imogen Andrews, Jacqueline F. Hamilton, Ye Sun, Agung Kramawijaya, Jinxiu Han, Supattarachai Saksakulkrai, Clarissa Baldo, Siqi Hou, Feixue Zheng, Kaspar R. Daellenbach, Chao Yan, Yongchun Liu, Markku Kulmala, Pingqing Fu, and Zongbo Shi

Atmos. Meas. Tech., 13, 6325–6341, https://doi.org/10.5194/amt-13-6325-2020,https://doi.org/10.5194/amt-13-6325-2020, 2020

Short summary

Cited articles

Ait-Helal, W., Borbon, A., Sauvage, S., de Gouw, J. A., Colomb, A., Gros, V., Freutel, F., Crippa, M., Afif, C., Baltensperger, U., Beekmann, M., Doussin, J.-F., Durand-Jolibois, R., Fronval, I., Grand, N., Leonardis, T., Lopez, M., Michoud, V., Miet, K., Perrier, S., Prévôt, A. S. H., Schneider, J., Siour, G., Zapf, P., and Locoge, N.: Volatile and intermediate volatility organic compounds in suburban Paris: variability, origin and importance for SOA formation, Atmos. Chem. Phys., 14, 10439–10464, https://doi.org/10.5194/acp-14-10439-2014, 2014.

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 PM_2.5 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 PM_2.5 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.

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

Related authors

Cited articles

Measurement report: Spatiotemporal and policy-related variations of PM_2.5 composition and sources during 2015–2019 at multiple sites in a Chinese megacity