Articles | Volume 21, issue 8
https://doi.org/10.5194/acp-21-6411-2021
© Author(s) 2021. 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-21-6411-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Apr 2021
Research article |
| 27 Apr 2021
| 27 Apr 2021
Air quality and health benefits from ultra-low emission control policy indicated by continuous emission monitoring: a case study in the Yangtze River Delta region, China
Yan Zhang
State Key Laboratory of Pollution Control and Resource Reuse and School of the Environment, Nanjing University, 163 Xianlin Rd., Nanjing, Jiangsu 210023, China
Jiangsu Environmental Engineering and Technology Co., Ltd., Jiangsu
Environmental Protection Group Co., Ltd., 8 East Jialingjiang St., Nanjing,
Jiangsu 210019, China
Yu Zhao
CORRESPONDING AUTHOR
State Key Laboratory of Pollution Control and Resource Reuse and School of the Environment, Nanjing University, 163 Xianlin Rd., Nanjing, Jiangsu 210023, China
Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science
and Technology, Jiangsu 210044, China
Department of Geography, State Key Laboratory of Environmental and
Biological Analysis, Hong Kong Baptist University, Hong Kong SAR, China
Xin Bo
The Appraisal Center for Environment and Engineering, Ministry of
Environmental Protection, Beijing 100012, China
Chris P. Nielsen
Harvard-China Project on Energy, Economy and Environment, John A. Paulson
School of Engineering and Applied Sciences, Harvard University, 29 Oxford
St., Cambridge, MA 02138, USA
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Cited
14 citations as recorded by crossref.
- Development of a high-resolution integrated emission inventory of air pollutants for China N. Wu et al. 10.5194/essd-16-2893-2024
- Co-drivers of air pollutant and CO2 emissions in China from 2000 to 2020 W. Cao et al. 10.1038/s41612-025-01124-7
- Study of condensable particulate matter from stationary combustion sources: Source profiles, emissions, and impact on ambient fine particulate matter H. Tong et al. 10.1016/j.scitotenv.2024.176222
- Toward monitoring daily anthropogenic CO2 emissions with air pollution sensors from space H. Li & B. Zheng 10.1016/j.oneear.2024.08.019
- Performance Evaluation of a Dust Meter for in-Stack Monitoring of Emission Gases Using a Particulate Simulator M. Wada 10.4164/sptj.60.212
- Navigating ecological civilisation: Polycentric environmental governance and policy regulatory framework in China C. Zhou et al. 10.1016/j.erss.2025.104347
- Toxicity, mutagenicity, and source identification of polycyclic aromatic hydrocarbons in ambient atmosphere and flue gas S. Pan et al. 10.1007/s11356-024-35494-x
- High-resolution regional emission inventory contributes to the evaluation of policy effectiveness: a case study in Jiangsu Province, China C. Gu et al. 10.5194/acp-23-4247-2023
- Impact of Ultra-Low Emission Technology of Thermal Power Plants on Air Quality in China W. Zhu et al. 10.1007/s41810-024-00237-5
- Health risk assessment of atmospheric fine particulate matter in China Z. Wan et al. 10.1016/j.atmosenv.2025.121550
- Trends and drivers of anthropogenic NO emissions in China since 2020 H. Li et al. 10.1016/j.ese.2024.100425
- Spatial test of collaborative treatment efficiency measurement and driving factors of air pollution in China's Yangtze River Delta urban agglomeration T. Cao et al. 10.1016/j.uclim.2023.101454
- Effects of nocturnal boundary layer subsidence and long-distance transports on PM2.5 vertical profiles in the Yangtze River Delta of China measured by PM sensor on unmanned aerial vehicle and PM Lidar L. Chen et al. 10.1016/j.envpol.2025.125935
- Daily Emission Patterns of Coal-Fired Power Plants in China Based on Multisource Data Fusion N. Wu et al. 10.1021/acsenvironau.2c00014
14 citations as recorded by crossref.
- Development of a high-resolution integrated emission inventory of air pollutants for China N. Wu et al. 10.5194/essd-16-2893-2024
- Co-drivers of air pollutant and CO2 emissions in China from 2000 to 2020 W. Cao et al. 10.1038/s41612-025-01124-7
- Study of condensable particulate matter from stationary combustion sources: Source profiles, emissions, and impact on ambient fine particulate matter H. Tong et al. 10.1016/j.scitotenv.2024.176222
- Toward monitoring daily anthropogenic CO2 emissions with air pollution sensors from space H. Li & B. Zheng 10.1016/j.oneear.2024.08.019
- Performance Evaluation of a Dust Meter for in-Stack Monitoring of Emission Gases Using a Particulate Simulator M. Wada 10.4164/sptj.60.212
- Navigating ecological civilisation: Polycentric environmental governance and policy regulatory framework in China C. Zhou et al. 10.1016/j.erss.2025.104347
- Toxicity, mutagenicity, and source identification of polycyclic aromatic hydrocarbons in ambient atmosphere and flue gas S. Pan et al. 10.1007/s11356-024-35494-x
- High-resolution regional emission inventory contributes to the evaluation of policy effectiveness: a case study in Jiangsu Province, China C. Gu et al. 10.5194/acp-23-4247-2023
- Impact of Ultra-Low Emission Technology of Thermal Power Plants on Air Quality in China W. Zhu et al. 10.1007/s41810-024-00237-5
- Health risk assessment of atmospheric fine particulate matter in China Z. Wan et al. 10.1016/j.atmosenv.2025.121550
- Trends and drivers of anthropogenic NO emissions in China since 2020 H. Li et al. 10.1016/j.ese.2024.100425
- Spatial test of collaborative treatment efficiency measurement and driving factors of air pollution in China's Yangtze River Delta urban agglomeration T. Cao et al. 10.1016/j.uclim.2023.101454
- Effects of nocturnal boundary layer subsidence and long-distance transports on PM2.5 vertical profiles in the Yangtze River Delta of China measured by PM sensor on unmanned aerial vehicle and PM Lidar L. Chen et al. 10.1016/j.envpol.2025.125935
- Daily Emission Patterns of Coal-Fired Power Plants in China Based on Multisource Data Fusion N. Wu et al. 10.1021/acsenvironau.2c00014
Latest update: 03 Nov 2025
Short summary
We combined air quality and exposure response models to analyze the benefits for air quality and human health of China’s ultra-low emission policy in one of its most developed regions. Atmospheric observations and the air quality model were also used to demonstrate improvement of emission inventories incorporating online emission monitoring data. With implementation of the policy in both power and industrial sectors, the attributable deaths due to PM2.5 exposure are estimated to decrease 5.5 %.
We combined air quality and exposure response models to analyze the benefits for air quality and...
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