Articles | Volume 18, issue 11
https://doi.org/10.5194/acp-18-7799-2018
© Author(s) 2018. 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-18-7799-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Quantification of the enhanced effectiveness of NOx control from simultaneous reductions of VOC and NH3 for reducing air pollution in the Beijing–Tianjin–Hebei region, China
Jia Xing
State Key Joint Laboratory of Environmental 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
Dian Ding
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing 100084, China
State Key Joint Laboratory of Environmental 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
State Key Joint Laboratory of Environmental 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
Joint Institute for Regional Earth System Science and Engineering and
Department of Atmospheric and Oceanic Sciences, University of California,
Los Angeles, CA 90095, USA
Carey Jang
The U.S. Environmental Protection Agency, Research Triangle Park, NC
27711, USA
Wenjing Wu
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing 100084, China
Fenfen Zhang
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing 100084, China
Yun Zhu
College of Environmental Science & Engineering, South China
University of Technology, Guangzhou Higher Education Mega Center, Guangzhou,
China
Jiming Hao
State Key Joint Laboratory of Environmental 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
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- Coordinated Control of Fine-Particle and Ozone Pollution by the Substantial Reduction of Nitrogen Oxides B. Chu et al. 10.1016/j.eng.2021.09.006
- Source impact and contribution analysis of ambient ozone using multi-modeling approaches over the Pearl River Delta region, China T. Fang et al. 10.1016/j.envpol.2021.117860
- Mimicking atmospheric photochemical modeling with a deep neural network J. Xing et al. 10.1016/j.atmosres.2021.105919
- Least-cost control strategy optimization for air quality attainment of Beijing–Tianjin–Hebei region in China J. Xing et al. 10.1016/j.jenvman.2019.05.022
- The acidity of atmospheric particles and clouds H. Pye et al. 10.5194/acp-20-4809-2020
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- Prospects for ozone pollution control in China: An epidemiological perspective A. Li et al. 10.1016/j.envpol.2021.117670
Latest update: 14 Dec 2024
Short summary
NOx is the common precursor for both PM2.5 and O3 pollution, while the effectiveness of NOx controls for reducing PM2.5 and O3 are largely influenced by the ambient levels of NH3 and VOCs. This study developed a new method to quantify the nonlinear effectiveness of emission controls for reducing PM2.5 and O3. The new method not only substantially reduces the computational burden but also provides a series of quantitative indicators to quantify the nonlinear control effectiveness.
NOx is the common precursor for both PM2.5 and O3 pollution, while the effectiveness of NOx...
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