Articles | Volume 19, issue 9
https://doi.org/10.5194/acp-19-6125-2019
https://doi.org/10.5194/acp-19-6125-2019
Research article
 | 
09 May 2019
Research article |  | 09 May 2019

Dominant role of emission reduction in PM2.5 air quality improvement in Beijing during 2013–2017: a model-based decomposition analysis

Jing Cheng, Jingping Su, Tong Cui, Xiang Li, Xin Dong, Feng Sun, Yanyan Yang, Dan Tong, Yixuan Zheng, Yanshun Li, Jinxiang Li, Qiang Zhang, and Kebin He

Related authors

Dynamic projection of anthropogenic emissions in China: methodology and 2015–2050 emission pathways under a range of socio-economic, climate policy, and pollution control scenarios
Dan Tong, Jing Cheng, Yang Liu, Sha Yu, Liu Yan, Chaopeng Hong, Yu Qin, Hongyan Zhao, Yixuan Zheng, Guannan Geng, Meng Li, Fei Liu, Yuxuan Zhang, Bo Zheng, Leon Clarke, and Qiang Zhang
Atmos. Chem. Phys., 20, 5729–5757, https://doi.org/10.5194/acp-20-5729-2020,https://doi.org/10.5194/acp-20-5729-2020, 2020
Short summary
Rapid transition in winter aerosol composition in Beijing from 2014 to 2017: response to clean air actions
Haiyan Li, Jing Cheng, Qiang Zhang, Bo Zheng, Yuxuan Zhang, Guangjie Zheng, and Kebin He
Atmos. Chem. Phys., 19, 11485–11499, https://doi.org/10.5194/acp-19-11485-2019,https://doi.org/10.5194/acp-19-11485-2019, 2019
Short summary
Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique
Tuan V. Vu, Zongbo Shi, Jing Cheng, Qiang Zhang, Kebin He, Shuxiao Wang, and Roy M. Harrison
Atmos. Chem. Phys., 19, 11303–11314, https://doi.org/10.5194/acp-19-11303-2019,https://doi.org/10.5194/acp-19-11303-2019, 2019
Short summary

Related subject area

Subject: Aerosols | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Exploring the sources of light-absorbing carbonaceous aerosols by integrating observational and modeling results: insights from Northeast China
Yuan Cheng, Xu-bing Cao, Sheng-qiang Zhu, Zhi-qing Zhang, Jiu-meng Liu, Hong-liang Zhang, Qiang Zhang, and Ke-bin He
Atmos. Chem. Phys., 24, 9869–9883, https://doi.org/10.5194/acp-24-9869-2024,https://doi.org/10.5194/acp-24-9869-2024, 2024
Short summary
Measurement report: Characteristics of airborne black-carbon-containing particles during the 2021 summer COVID-19 lockdown in a typical Yangtze River Delta city, China
Yuan Dai, Junfeng Wang, Houjun Wang, Shijie Cui, Yunjiang Zhang, Haiwei Li, Yun Wu, Ming Wang, Eleonora Aruffo, and Xinlei Ge
Atmos. Chem. Phys., 24, 9733–9748, https://doi.org/10.5194/acp-24-9733-2024,https://doi.org/10.5194/acp-24-9733-2024, 2024
Short summary
Aerosol optical properties within the atmospheric boundary layer predicted from ground-based observations compared to Raman lidar retrievals during RITA-2021
Xinya Liu, Diego Alves Gouveia, Bas Henzing, Arnoud Apituley, Arjan Hensen, Danielle van Dinther, Rujin Huang, and Ulrike Dusek
Atmos. Chem. Phys., 24, 9597–9614, https://doi.org/10.5194/acp-24-9597-2024,https://doi.org/10.5194/acp-24-9597-2024, 2024
Short summary
Hygroscopic growth and activation changed submicron aerosol composition and properties in the North China Plain
Weiqi Xu, Ye Kuang, Wanyun Xu, Zhiqiang Zhang, Biao Luo, Xiaoyi Zhang, Jiangchuang Tao, Hongqin Qiao, Li Liu, and Yele Sun
Atmos. Chem. Phys., 24, 9387–9399, https://doi.org/10.5194/acp-24-9387-2024,https://doi.org/10.5194/acp-24-9387-2024, 2024
Short summary
Measurement report: Formation of tropospheric brown carbon in a lifting air mass
Can Wu, Xiaodi Liu, Ke Zhang, Si Zhang, Cong Cao, Jianjun Li, Rui Li, Fan Zhang, and Gehui Wang
Atmos. Chem. Phys., 24, 9263–9275, https://doi.org/10.5194/acp-24-9263-2024,https://doi.org/10.5194/acp-24-9263-2024, 2024
Short summary

Cited articles

Baker, K., Woody, M., Tonnesen, G., Hutzell, W., Pye, H., Beaver, M., Pouliot, G., and Pierce, T.: Contribution of regional-scale fire events to ozone and PM2.5 air quality estimated by photochemical modeling approaches, Atmos. Environ., 140, 539–554, https://doi.org/10.1016/j.atmosenv.2016.06.032, 2016. 
Bey, I., Jacob, D. J., Yantosca, R. M., Logan, J. A., Field, B. D., Fiore, A. M., Li, Q., Liu, H., Mickley, L. J., and Schultz, M. G.: Global modeling of tropospheric chemistry with assimilated meteorology: Model description and evaluation, J. Geophys. Res., 106, 23073–23095, https://doi.org/10.1029/2001JD000807, 2001. 
BMEP: Beijing Municipal Environmental Protection Bureau, Beijing Environmental Status Bulletin (2013–2017), http://www.bjepb.gov.cn/bjhrb/xxgk/ywdt/hjzlzk/hjzkgb65/index.html (last access: 20 September 2018), 2018. 
Cai, S., Wang, Y., Zhao, B., Wang, S., and Chang, X.: The impact of the “Air Pollution Prevention and Control Action Plan” on PM2.5 concentrations in Jing-Jin-Ji region during 2012–2020, Sci. Total Environ., 580, 197–209, https://doi.org/10.1016/j.scitotenv.2016.11.188, 2017a. 
Cai, W., Li, K., Liao, H., Wang, H., and Wu, L.: Weather conditions conducive to Beijing severe haze more frequent under climate change, Nat. Clim. Change, 7, 257–263, https://doi.org/10.1038/nclimate3249, 2017b. 
Download
Short summary
We attribute Beijing’s PM2.5 abatement in 2017 (compared to 2013) to the following factors: meteorology changes (3.8 μg m−3, 12.1 % of total), regional emission reduction (7.1 μg m−3, 22.5 %), and seven specific categories of control measures in Beijing (20.6 μg m−3, 65.4 %). Our study confirms the effectiveness of clean air actions in Beijing and its surrounding regions and reveals a new generation of control measures, and strengthened regional joint protection measures should be implemented.
Altmetrics
Final-revised paper
Preprint