Articles | Volume 21, issue 10
https://doi.org/10.5194/acp-21-7723-2021
© 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-21-7723-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Variability of NO2 concentrations over China and effect on air quality derived from satellite and ground-based observations
Cheng Fan
State Environment Protection Key Laboratory of Satellite Remote
Sensing, Aerospace Information Research Institute, Chinese Academy of
Sciences, Beijing 100101, China
University of Chinese Academy of Sciences, Beijing 100049, China
Zhengqiang Li
State Environment Protection Key Laboratory of Satellite Remote
Sensing, Aerospace Information Research Institute, Chinese Academy of
Sciences, Beijing 100101, China
Ying Li
CORRESPONDING AUTHOR
China Academy of Culture and Tourism, Beijing International Studies
University, Beijing 100024, China
Jiantao Dong
School of Surveying and Land Information Engineering, Henan
Polytechnic University, Jiao Zuo, China
Ronald van der A
Royal Netherlands Meteorological Institute (KNMI), R&D Satellite
Observations, 3731GA De Bilt, the Netherlands
Nanjing University of Information Science and Technology (NUIST),
School of Atmospheric Physics, No. 219, Ningliu Road, Nanjing, Jiangsu, China
Gerrit de Leeuw
State Environment Protection Key Laboratory of Satellite Remote
Sensing, Aerospace Information Research Institute, Chinese Academy of
Sciences, Beijing 100101, China
Royal Netherlands Meteorological Institute (KNMI), R&D Satellite
Observations, 3731GA De Bilt, the Netherlands
Nanjing University of Information Science and Technology (NUIST),
School of Atmospheric Physics, No. 219, Ningliu Road, Nanjing, Jiangsu, China
China University of Mining and Technology (CUMT), School of Environment
Science and Spatial Informatics, Xuzhou, Jiangsu 221116, China
Viewed
Total article views: 3,136 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Nov 2020)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,225 | 841 | 70 | 3,136 | 60 | 59 |
- HTML: 2,225
- PDF: 841
- XML: 70
- Total: 3,136
- BibTeX: 60
- EndNote: 59
Total article views: 2,629 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 May 2021)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,976 | 590 | 63 | 2,629 | 55 | 52 |
- HTML: 1,976
- PDF: 590
- XML: 63
- Total: 2,629
- BibTeX: 55
- EndNote: 52
Total article views: 507 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Nov 2020)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
249 | 251 | 7 | 507 | 5 | 7 |
- HTML: 249
- PDF: 251
- XML: 7
- Total: 507
- BibTeX: 5
- EndNote: 7
Viewed (geographical distribution)
Total article views: 3,136 (including HTML, PDF, and XML)
Thereof 3,387 with geography defined
and -251 with unknown origin.
Total article views: 2,629 (including HTML, PDF, and XML)
Thereof 2,678 with geography defined
and -49 with unknown origin.
Total article views: 507 (including HTML, PDF, and XML)
Thereof 709 with geography defined
and -202 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
31 citations as recorded by crossref.
- Evolution of organic carbon during COVID-19 lockdown period: Possible contribution of nocturnal chemistry Z. Feng et al. 10.1016/j.scitotenv.2021.152191
- A real-time assessment of hazardous atmospheric pollutants across cities in China and India S. Rahaman et al. 10.1016/j.jhazmat.2024.135711
- The variability of NO2 concentrations over China based on satellite and influencing factors analysis during 2019–2021 Y. Zhang et al. 10.3389/fenvs.2024.1267627
- Modeling and Optimization of NO2 Stations in the Smart City of Barcelona R. Soriano-Gonzalez et al. 10.3390/app142210355
- Spatio-temporal patterns of tropospheric NO2 over India during 2005–2019 N. Singh et al. 10.1016/j.apr.2023.101692
- Satellite-Based Estimation of Near-Surface NO2 Concentration in Cloudy and Rainy Areas F. Deng et al. 10.3390/rs16101785
- TROPOMI NO2 Shows a Fast Recovery of China’s Economy in the First Quarter of 2023 H. Li & B. Zheng 10.1021/acs.estlett.3c00386
- Variations of Urban NO2 Pollution during the COVID-19 Outbreak and Post-Epidemic Era in China: A Synthesis of Remote Sensing and In Situ Measurements C. Zhao et al. 10.3390/rs14020419
- Black Carbon Particles Physicochemical Real‐Time Data Set in a Cold City: Trends of Fall‐Winter BC Accumulation and COVID‐19 H. Li & P. Ariya 10.1029/2021JD035265
- The effect of accounting for public holidays on the skills of the atmospheric composition model SILAM v.5.7 Y. Fatahi et al. 10.5194/gmd-14-7459-2021
- Evaluating the effects of columnar NO2on the accuracy of aerosol optical properties retrievals T. Drosoglou et al. 10.5194/amt-16-2989-2023
- Air Quality over China G. de Leeuw et al. 10.3390/rs13173542
- Estimation of ground-level NO2 and its spatiotemporal variations in China using GEMS measurements and a nested machine learning model N. Ahmad et al. 10.5194/acp-24-9645-2024
- Assessment of the impact of NO2 contribution on aerosol-optical-depth measurements at several sites worldwide A. Masoom et al. 10.5194/amt-17-5525-2024
- Long-term PM2.5 pollution over China: Identification of PM2.5 pollution hotspots and source contributions M. Ali et al. 10.1016/j.scitotenv.2023.164871
- DeepSAT4D: Deep learning empowers four-dimensional atmospheric chemical concentration and emission retrieval from satellite S. Li & J. Xing 10.59717/j.xinn-geo.2024.100061
- Detecting the Responses of CO2 Column Abundances to Anthropogenic Emissions from Satellite Observations of GOSAT and OCO-2 M. Sheng et al. 10.3390/rs13173524
- Spatiotemporal variation and provincial scale differences of the AOD across China during 2000–2021 G. de Leeuw et al. 10.1016/j.apr.2022.101359
- Refining Spatial and Temporal XCO2 Characteristics Observed by Orbiting Carbon Observatory-2 and Orbiting Carbon Observatory-3 Using Sentinel-5P Tropospheric Monitoring Instrument NO2 Observations in China K. Guo et al. 10.3390/rs16132456
- Evaluation of the first year of Pandora NO2 measurements over Beijing and application to satellite validation O. Liu et al. 10.5194/amt-17-377-2024
- Nutrient dynamics in the Bohai and North Yellow seas from seasonal to decadal scales: Unveiling Bohai Sea eutrophication mitigation in the 2010s L. Zheng & W. Zhai 10.1016/j.scitotenv.2023.167417
- Trends in secondary inorganic aerosol pollution in China and its responses to emission controls of precursors in wintertime F. Meng et al. 10.5194/acp-22-6291-2022
- Co-effect assessment on regional air quality: A perspective of policies and measures with greenhouse gas reduction potential W. Chen et al. 10.1016/j.scitotenv.2022.158119
- Estimating Near-Surface Concentrations of Major Air Pollutants From Space: A Universal Estimation Framework LAPSO S. Zhu et al. 10.1109/TGRS.2023.3248180
- Spatiotemporal neural network for estimating surface NO2 concentrations over north China and their human health impact C. Zhang et al. 10.1016/j.envpol.2022.119510
- Research on the distribution and influencing factors of fine mode aerosol optical depth (AODf) in China H. Xu et al. 10.1016/j.atmosenv.2024.120721
- Meteorological and anthropogenic contributions to changes in the Aerosol Optical Depth (AOD) over China during the last decade G. de Leeuw et al. 10.1016/j.atmosenv.2023.119676
- Insights into the long-term (2005–2021) spatiotemporal evolution of summer ozone production sensitivity in the Northern Hemisphere derived with the Ozone Monitoring Instrument (OMI) M. Johnson et al. 10.5194/acp-24-10363-2024
- Subtle Changes or Dramatic Perceptions of Air Pollution in Sydney during COVID-19 P. Brimblecombe & Y. Lai 10.3390/environments8010002
- Spatiotemporal Investigations of Multi-Sensor Air Pollution Data over Bangladesh during COVID-19 Lockdown Z. Qiu et al. 10.3390/rs13050877
- Identification of Dominant Factor for Air Pollution Fluctuations at The Beginning of Covid-19 Large-Scale Social Restrictions (PSBB) in Jakarta N. Sagita et al. 10.30736/6ijev.v6iss1.334
28 citations as recorded by crossref.
- Evolution of organic carbon during COVID-19 lockdown period: Possible contribution of nocturnal chemistry Z. Feng et al. 10.1016/j.scitotenv.2021.152191
- A real-time assessment of hazardous atmospheric pollutants across cities in China and India S. Rahaman et al. 10.1016/j.jhazmat.2024.135711
- The variability of NO2 concentrations over China based on satellite and influencing factors analysis during 2019–2021 Y. Zhang et al. 10.3389/fenvs.2024.1267627
- Modeling and Optimization of NO2 Stations in the Smart City of Barcelona R. Soriano-Gonzalez et al. 10.3390/app142210355
- Spatio-temporal patterns of tropospheric NO2 over India during 2005–2019 N. Singh et al. 10.1016/j.apr.2023.101692
- Satellite-Based Estimation of Near-Surface NO2 Concentration in Cloudy and Rainy Areas F. Deng et al. 10.3390/rs16101785
- TROPOMI NO2 Shows a Fast Recovery of China’s Economy in the First Quarter of 2023 H. Li & B. Zheng 10.1021/acs.estlett.3c00386
- Variations of Urban NO2 Pollution during the COVID-19 Outbreak and Post-Epidemic Era in China: A Synthesis of Remote Sensing and In Situ Measurements C. Zhao et al. 10.3390/rs14020419
- Black Carbon Particles Physicochemical Real‐Time Data Set in a Cold City: Trends of Fall‐Winter BC Accumulation and COVID‐19 H. Li & P. Ariya 10.1029/2021JD035265
- The effect of accounting for public holidays on the skills of the atmospheric composition model SILAM v.5.7 Y. Fatahi et al. 10.5194/gmd-14-7459-2021
- Evaluating the effects of columnar NO2on the accuracy of aerosol optical properties retrievals T. Drosoglou et al. 10.5194/amt-16-2989-2023
- Air Quality over China G. de Leeuw et al. 10.3390/rs13173542
- Estimation of ground-level NO2 and its spatiotemporal variations in China using GEMS measurements and a nested machine learning model N. Ahmad et al. 10.5194/acp-24-9645-2024
- Assessment of the impact of NO2 contribution on aerosol-optical-depth measurements at several sites worldwide A. Masoom et al. 10.5194/amt-17-5525-2024
- Long-term PM2.5 pollution over China: Identification of PM2.5 pollution hotspots and source contributions M. Ali et al. 10.1016/j.scitotenv.2023.164871
- DeepSAT4D: Deep learning empowers four-dimensional atmospheric chemical concentration and emission retrieval from satellite S. Li & J. Xing 10.59717/j.xinn-geo.2024.100061
- Detecting the Responses of CO2 Column Abundances to Anthropogenic Emissions from Satellite Observations of GOSAT and OCO-2 M. Sheng et al. 10.3390/rs13173524
- Spatiotemporal variation and provincial scale differences of the AOD across China during 2000–2021 G. de Leeuw et al. 10.1016/j.apr.2022.101359
- Refining Spatial and Temporal XCO2 Characteristics Observed by Orbiting Carbon Observatory-2 and Orbiting Carbon Observatory-3 Using Sentinel-5P Tropospheric Monitoring Instrument NO2 Observations in China K. Guo et al. 10.3390/rs16132456
- Evaluation of the first year of Pandora NO2 measurements over Beijing and application to satellite validation O. Liu et al. 10.5194/amt-17-377-2024
- Nutrient dynamics in the Bohai and North Yellow seas from seasonal to decadal scales: Unveiling Bohai Sea eutrophication mitigation in the 2010s L. Zheng & W. Zhai 10.1016/j.scitotenv.2023.167417
- Trends in secondary inorganic aerosol pollution in China and its responses to emission controls of precursors in wintertime F. Meng et al. 10.5194/acp-22-6291-2022
- Co-effect assessment on regional air quality: A perspective of policies and measures with greenhouse gas reduction potential W. Chen et al. 10.1016/j.scitotenv.2022.158119
- Estimating Near-Surface Concentrations of Major Air Pollutants From Space: A Universal Estimation Framework LAPSO S. Zhu et al. 10.1109/TGRS.2023.3248180
- Spatiotemporal neural network for estimating surface NO2 concentrations over north China and their human health impact C. Zhang et al. 10.1016/j.envpol.2022.119510
- Research on the distribution and influencing factors of fine mode aerosol optical depth (AODf) in China H. Xu et al. 10.1016/j.atmosenv.2024.120721
- Meteorological and anthropogenic contributions to changes in the Aerosol Optical Depth (AOD) over China during the last decade G. de Leeuw et al. 10.1016/j.atmosenv.2023.119676
- Insights into the long-term (2005–2021) spatiotemporal evolution of summer ozone production sensitivity in the Northern Hemisphere derived with the Ozone Monitoring Instrument (OMI) M. Johnson et al. 10.5194/acp-24-10363-2024
3 citations as recorded by crossref.
- Subtle Changes or Dramatic Perceptions of Air Pollution in Sydney during COVID-19 P. Brimblecombe & Y. Lai 10.3390/environments8010002
- Spatiotemporal Investigations of Multi-Sensor Air Pollution Data over Bangladesh during COVID-19 Lockdown Z. Qiu et al. 10.3390/rs13050877
- Identification of Dominant Factor for Air Pollution Fluctuations at The Beginning of Covid-19 Large-Scale Social Restrictions (PSBB) in Jakarta N. Sagita et al. 10.30736/6ijev.v6iss1.334
Latest update: 13 Dec 2024
Short summary
Emission control policy in China has resulted in the decrease of nitrogen dioxide concentrations, which however leveled off and stabilized in recent years, as shown from satellite data. The effects of the further emission reduction during the COVID-19 lockdown in 2020 resulted in an initial improvement of air quality, which, however, was offset by chemical and meteorological effects. The study shows the regional dependence over east China, and results have a wider application than China only.
Emission control policy in China has resulted in the decrease of nitrogen dioxide...
Altmetrics
Final-revised paper
Preprint