Articles | Volume 19, issue 21
https://doi.org/10.5194/acp-19-13627-2019
© 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-19-13627-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and application of observable response indicators for design of an effective ozone and fine-particle pollution control strategy in 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 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
Zhaoxin Dong
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
James T. Kelly
Office of Air Quality Planning and Standards, U.S. Environmental
Protection Agency, Research Triangle Park, NC 27711, USA
Carey Jang
Office of Air Quality Planning and Standards, U.S. Environmental
Protection Agency, Research Triangle Park, NC 27711, USA
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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35 citations as recorded by crossref.
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35 citations as recorded by crossref.
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- Application of a health index using PM2.5 concentration reductions for evaluating cross-administrative region air quality policies M. Hsiao et al. 10.1080/10962247.2021.1902422
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- 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
- Optimization of a NOx and VOC Cooperative Control Strategy Based on Clean Air Benefits D. Ding et al. 10.1021/acs.est.1c04201
- Spatiotemporal variations in the association between PM2.5 and ozone in the yangtze river economic belt: Impacts of meteorological and emissions factors L. Wang et al. 10.1016/j.atmosenv.2024.120534
- Highly Resolved Dynamic Emissions of Air Pollutants and Greenhouse Gas CO2 during COVID-19 Pandemic in East China C. Huang et al. 10.1021/acs.estlett.1c00600
- Response of fine particulate matter and ozone concentrations to meteorology and anthropogenic precursors over the “2+26” cities of northern China P. Liu et al. 10.1016/j.chemosphere.2024.141439
- Alternative-energy-vehicles deployment delivers climate, air quality, and health co-benefits when coupled with decarbonizing power generation in China L. Peng et al. 10.1016/j.oneear.2021.07.007
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- Decline in bulk deposition of air pollutants in China lags behind reductions in emissions Y. Zhao et al. 10.1038/s41561-022-00899-1
- VOCs evaporative emissions from vehicles in China: Species characteristics of different emission processes H. Man et al. 10.1016/j.ese.2019.100002
- Wintertime Particulate Matter Decrease Buffered by Unfavorable Chemical Processes Despite Emissions Reductions in China D. Leung et al. 10.1029/2020GL087721
- Emission characteristics and inventory of volatile organic compounds from the Chinese cement industry based on field measurements X. Bai et al. 10.1016/j.envpol.2022.120600
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- Novel Method for Ozone Isopleth Construction and Diagnosis for the Ozone Control Strategy of Chinese Cities H. Shen et al. 10.1021/acs.est.1c01567
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- Predicting the Nonlinear Response of PM2.5 and Ozone to Precursor Emission Changes with a Response Surface Model J. Kelly et al. 10.3390/atmos12081044
- Contrasting chemical environments in summertime for atmospheric ozone across major Chinese industrial regions: the effectiveness of emission control strategies Z. Liu et al. 10.5194/acp-21-10689-2021
Latest update: 01 Nov 2024
Short summary
The study aims at addressing the challenge in efficient quantification of the nonlinear response of air pollution to precursor emission perturbations. The newly developed observable response indicators can be easily calculated by a combination of ambient concentrations of certain species. Their capability in representing the spatial and temporal variation in PM2.5 and O3 chemistry has also been well evaluated and applied in China.
The study aims at addressing the challenge in efficient quantification of the nonlinear response...
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