Articles | Volume 19, issue 17
https://doi.org/10.5194/acp-19-11303-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-11303-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique
Tuan V. Vu
Division of Environmental Health & Risk Management, School of
Geography, Earth & Environmental Sciences, University of Birmingham,
Birmingham B1 52TT, UK
Division of Environmental Health & Risk Management, School of
Geography, Earth & Environmental Sciences, University of Birmingham,
Birmingham B1 52TT, UK
Jing Cheng
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084,
China
Qiang Zhang
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084,
China
Kebin He
State Key Joint Laboratory of Environment, Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing 100084, China
State Environmental Protection Key Laboratory of Sources and Control
of Air Pollution Complex, Beijing 100084, China
Shuxiao Wang
State Key Joint Laboratory of Environment, Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing 100084, China
Division of Environmental Health & Risk Management, School of
Geography, Earth & Environmental Sciences, University of Birmingham,
Birmingham B1 52TT, UK
Department of Environmental Sciences/Center of Excellence in
Environmental Studies, King Abdulaziz University, P.O. Box 80203, Jeddah, Saudi
Arabia
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- Regional Transport of PM 2.5 and O 3 Based on Complex Network Method and Chemical Transport Model in the Yangtze River Delta, China Q. Wang et al. 10.1029/2021JD034807
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- Heterogeneous effects of COVID-19 lockdown measures on air quality in Northern China J. Wang et al. 10.1016/j.apenergy.2020.116179
Latest update: 06 Jun 2023
Short summary
A 5-year Clean Air Action Plan was implemented in 2013 to improve ambient air quality in Beijing. Here, we applied a novel machine-learning-based model to determine the real trend in air quality from 2013 to 2017 in Beijing to assess the efficacy of the plan. We showed that the action plan led to a major reduction in primary emissions and significant improvement in air quality. The marked decrease in PM2.5 and SO2 is largely attributable to a reduction in coal combustion.
A 5-year Clean Air Action Plan was implemented in 2013 to improve ambient air quality in...
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