Articles | Volume 19, issue 21
Atmos. Chem. Phys., 19, 13519–13533, 2019
Atmos. Chem. Phys., 19, 13519–13533, 2019
Research article
06 Nov 2019
Research article | 06 Nov 2019

The control of anthropogenic emissions contributed to 80 % of the decrease in PM2.5 concentrations in Beijing from 2013 to 2017

Ziyue Chen et al.

Related authors

The FY-3D Global Active Fire product: Principle, Methodology and Validation
Jie Chen, Qi Yao, Ziyue Chen, Manchun Li, Zhaozhan Hao, Cheng Liu, Wei Zheng, Miaoqing Xu, Xiao Chen, Jing Yang, Qiancheng Lv, and Bingbo Gao
Earth Syst. Sci. Data Discuss.,,, 2022
Revised manuscript accepted for ESSD
Short summary
Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis
Ruiyuan Li, Miaoqing Xu, Manchun Li, Ziyue Chen, Na Zhao, Bingbo Gao, and Qi Yao
Atmos. Chem. Phys., 21, 15631–15646,,, 2021
Short summary
Evaluating the “2+26” regional strategy for air quality improvement during two air pollution alerts in Beijing: variations in PM2.5 concentrations, source apportionment, and the relative contribution of local emission and regional transport
Ziyue Chen, Danlu Chen, Wei Wen, Yan Zhuang, Mei-Po Kwan, Bin Chen, Bo Zhao, Lin Yang, Bingbo Gao, Ruiyuan Li, and Bing Xu
Atmos. Chem. Phys., 19, 6879–6891,,, 2019
Short summary
Understanding meteorological influences on PM2.5 concentrations across China: a temporal and spatial perspective
Ziyue Chen, Xiaoming Xie, Jun Cai, Danlu Chen, Bingbo Gao, Bin He, Nianliang Cheng, and Bing Xu
Atmos. Chem. Phys., 18, 5343–5358,,, 2018
Short summary

Related subject area

Subject: Gases | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Quantifying fossil fuel methane emissions using observations of atmospheric ethane and an uncertain emission ratio
Alice E. Ramsden, Anita L. Ganesan, Luke M. Western, Matthew Rigby, Alistair J. Manning, Amy Foulds, James L. France, Patrick Barker, Peter Levy, Daniel Say, Adam Wisher, Tim Arnold, Chris Rennick, Kieran M. Stanley, Dickon Young, and Simon O'Doherty
Atmos. Chem. Phys., 22, 3911–3929,,, 2022
Short summary
The impact of peripheral circulation characteristics of typhoon on sustained ozone episodes over the Pearl River Delta region, China
Ying Li, Xiangjun Zhao, Xuejiao Deng, and Jinhui Gao
Atmos. Chem. Phys., 22, 3861–3873,,, 2022
Short summary
Updated Global Fuel Exploitation Inventory (GFEI) for methane emissions from the oil, gas, and coal sectors: evaluation with inversions of atmospheric methane observations
Tia R. Scarpelli, Daniel J. Jacob, Shayna Grossman, Xiao Lu, Zhen Qu, Melissa P. Sulprizio, Yuzhong Zhang, Frances Reuland, Deborah Gordon, and John R. Worden
Atmos. Chem. Phys., 22, 3235–3249,,, 2022
Short summary
High-resolution mapping of regional traffic emissions using land-use machine learning models
Xiaomeng Wu, Daoyuan Yang, Ruoxi Wu, Jiajun Gu, Yifan Wen, Shaojun Zhang, Rui Wu, Renjie Wang, Honglei Xu, K. Max Zhang, Ye Wu, and Jiming Hao
Atmos. Chem. Phys., 22, 1939–1950,,, 2022
Short summary
Land use and anthropogenic heat modulate ozone by meteorology: a perspective from the Yangtze River Delta region
Chenchao Zhan and Min Xie
Atmos. Chem. Phys., 22, 1351–1371,,, 2022
Short summary

Cited articles

Boylan, J. W. and Russell, A. G.: PM and light extinction model performance metrics, goals and criteria for three-dimensional air quality models, Atmos. Environ., 40, 4946–4959, 2006. 
Brunekreef, B. and Holgate, S.: Air pollution and health Lancet, 360, 1233–1242, 2002. 
Chan, C. K. and Yao, X.: Air pollution in mega cities in China, Atmos. Environ., 42, 1–42, 2008. 
Chen, D., Liu, Z., Fast, J., and Ban, J.: Simulations of sulfate–nitrate–ammonium (SNA) aerosols during the extreme haze events over northern China in October 2014, Atmos. Chem. Phys., 16, 10707–10724,, 2016. 
Chen, Z., Xie, X., Cai, J., Chen, D., Gao, B., He, B., Cheng, N., and Xu, B.: Understanding meteorological influences on PM2.5 concentrations across China: a temporal and spatial perspective, Atmos. Chem. Phys., 18, 5343–5358,, 2018. 
Short summary
We employed Kolmogorov–Zurbenko filtering and WRF-CMAQ to quantify the relative contribution of meteorological variations and emission reduction to PM2.5 reduction in Beijing from 2013 to 2017, which is crucial to evaluate the Five-year Clean Air Action Plan. Both models suggested that despite favourable meteorological conditions, the control of anthropogenic emissions accounted for around 80 % of PM2.5 reduction in Beijing. Therefore, such a long-term clean air plan should be continued.
Final-revised paper