Articles | Volume 22, issue 13
https://doi.org/10.5194/acp-22-8597-2022
https://doi.org/10.5194/acp-22-8597-2022
Research article
 | 
05 Jul 2022
Research article |  | 05 Jul 2022

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

Related authors

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
The effect of emission source chemical profiles on simulated PM2.5 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
Effectiveness evaluation of temporary emission control action in 2016 in winter in Shijiazhuang, China
Baoshuang Liu, Yuan Cheng, Ming Zhou, Danni Liang, Qili Dai, Lu Wang, Wei Jin, Lingzhi Zhang, Yibin Ren, Jingbo Zhou, Chunling Dai, Jiao Xu, Jiao Wang, Yinchang Feng, and Yufen Zhang
Atmos. Chem. Phys., 18, 7019–7039, https://doi.org/10.5194/acp-18-7019-2018,https://doi.org/10.5194/acp-18-7019-2018, 2018

Related subject area

Subject: Aerosols | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Influence of terrestrial and marine air mass on the constituents and intermixing of bioaerosols over a coastal atmosphere
Qun He, Zhaowen Wang, Houfeng Liu, Pengju Xu, Rongbao Duan, Caihong Xu, Jianmin Chen, and Min Wei
Atmos. Chem. Phys., 24, 12775–12792, https://doi.org/10.5194/acp-24-12775-2024,https://doi.org/10.5194/acp-24-12775-2024, 2024
Short summary
A multi-site passive approach to studying the emissions and evolution of smoke from prescribed fires
Rime El Asmar, Zongrun Li, David J. Tanner, Yongtao Hu, Susan O'Neill, L. Gregory Huey, M. Talat Odman, and Rodney J. Weber
Atmos. Chem. Phys., 24, 12749–12773, https://doi.org/10.5194/acp-24-12749-2024,https://doi.org/10.5194/acp-24-12749-2024, 2024
Short summary
The annual cycle and sources of relevant aerosol precursor vapors in the central Arctic during the MOSAiC expedition
Matthew Boyer, Diego Aliaga, Lauriane L. J. Quéléver, Silvia Bucci, Hélène Angot, Lubna Dada, Benjamin Heutte, Lisa Beck, Marina Duetsch, Andreas Stohl, Ivo Beck, Tiia Laurila, Nina Sarnela, Roseline C. Thakur, Branka Miljevic, Markku Kulmala, Tuukka Petäjä, Mikko Sipilä, Julia Schmale, and Tuija Jokinen
Atmos. Chem. Phys., 24, 12595–12621, https://doi.org/10.5194/acp-24-12595-2024,https://doi.org/10.5194/acp-24-12595-2024, 2024
Short summary
Opinion: How will advances in aerosol science inform our understanding of the health impacts of outdoor particulate pollution?
Imad El Haddad, Danielle Vienneau, Kaspar R. Daellenbach, Robin Modini, Jay G. Slowik, Abhishek Upadhyay, Petros N. Vasilakos, David Bell, Kees de Hoogh, and Andre S. H. Prevot
Atmos. Chem. Phys., 24, 11981–12011, https://doi.org/10.5194/acp-24-11981-2024,https://doi.org/10.5194/acp-24-11981-2024, 2024
Short summary
Measurement report: Intra-annual variability of black carbon and brown carbon and their interrelation with meteorological conditions over Gangtok, Sikkim
Pramod Kumar, Khushboo Sharma, Ankita Malu, Rajeev Rajak, Aparna Gupta, Bidyutjyoti Baruah, Shailesh Yadav, Thupstan Angchuk, Jayant Sharma, Rakesh Kumar Ranjan, Anil Kumar Misra, and Nishchal Wanjari
Atmos. Chem. Phys., 24, 11585–11601, https://doi.org/10.5194/acp-24-11585-2024,https://doi.org/10.5194/acp-24-11585-2024, 2024
Short summary

Cited articles

Alexander, B., Sherwen, T., Holmes, C. D., Fisher, J. A., Chen, Q., Evans, M. J., and Kasibhatla, P.: Global inorganic nitrate production mechanisms: comparison of a global model with nitrate isotope observations, Atmos. Chem. Phys., 20, 3859–3877, https://doi.org/10.5194/acp-20-3859-2020, 2020. 
Begum, B. A., Biswas, S. K., and Hopke, P. K.: Key issues in controlling air pollutants in Dhaka, Bangladesh, Atmos. Environ., 45, 7705–7713, https://doi.org/10.1016/j.atmosenv.2010.10.022, 2011. 
Beloconi, A., Probst-Hensch, N. M., and Vounatsou, P.: Spatio-temporal modelling of changes in air pollution exposure associated to the COVID-19 lockdown measures across Europe, Sci. Total Environ., 787, 147607, https://doi.org/10.1016/j.scitotenv.2021.147607, 2021. 
Bi, X., Dai, Q., Wu, J., Zhang, Q., Zhang, W., Luo, R., Cheng, Y., Zhang, J., Wang, L., Yu, Z., Zhang, Y., Tian, Y., and Feng, Y.: Characteristics of the main primary source profiles of particulate matter across China from 1987 to 2017, Atmos. Chem. Phys., 19, 3223–3243, https://doi.org/10.5194/acp-19-3223-2019, 2019. 
Bie, S. J., Yang, L. X., Zhang, Y., Huang, Q., Li, J. S., Zhao, T., Zhang, X. F., Wang, P. C., and Wang, W. X.: Source appointment of PM2.5 in Qingdao Port, East of China, Sci. Total Environ., 755, 142456, https://doi.org/10.1016/j.scitotenv.2020.142456, 2021. 
Download
Short summary
Understanding effectiveness of air pollution regulatory measures is critical for control policy. Machine learning and dispersion-normalized approaches were applied to decouple meteorologically deduced variations in Qingdao, China. Most pollutant concentrations decreased substantially after the Clean Air Action Plan. The largest emission reduction was from coal combustion and steel-related smelting. Qingdao is at risk of increased emissions from increased vehicular population and ozone pollution.
Altmetrics
Final-revised paper
Preprint