Research article
06 Nov 2019
Research article
| 06 Nov 2019
The control of anthropogenic emissions contributed to 80 % of the decrease in PM2.5 concentrations in Beijing from 2013 to 2017
Ziyue Chen et al.
Viewed
Total article views: 2,379 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 31 Jan 2019)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,549 | 802 | 28 | 2,379 | 31 | 50 |
- HTML: 1,549
- PDF: 802
- XML: 28
- Total: 2,379
- BibTeX: 31
- EndNote: 50
Total article views: 1,538 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Nov 2019)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,039 | 478 | 21 | 1,538 | 25 | 38 |
- HTML: 1,039
- PDF: 478
- XML: 21
- Total: 1,538
- BibTeX: 25
- EndNote: 38
Total article views: 841 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 31 Jan 2019)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
510 | 324 | 7 | 841 | 6 | 12 |
- HTML: 510
- PDF: 324
- XML: 7
- Total: 841
- BibTeX: 6
- EndNote: 12
Viewed (geographical distribution)
Total article views: 2,099 (including HTML, PDF, and XML)
Thereof 2,090 with geography defined
and 9 with unknown origin.
Total article views: 1,401 (including HTML, PDF, and XML)
Thereof 1,399 with geography defined
and 2 with unknown origin.
Total article views: 698 (including HTML, PDF, and XML)
Thereof 691 with geography defined
and 7 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
48 citations as recorded by crossref.
- Impact of urban heat island on meteorology and air quality at microenvironments G. Swamy et al. 10.1080/10962247.2020.1783390
- City-level air quality improvement in the Beijing-Tianjin-Hebei region from 2016/17 to 2017/18 heating seasons: Attributions and process analysis Y. Zhang et al. 10.1016/j.envpol.2021.116523
- Heavy haze pollution during the COVID-19 lockdown in the Beijing-Tianjin-Hebei region, China X. Zhang et al. 10.1016/j.jes.2021.08.030
- Links between the optical properties and chemical compositions of brown carbon chromophores in different environments: Contributions and formation of functionalized aromatic compounds X. Li et al. 10.1016/j.scitotenv.2021.147418
- Effects of atmospheric circulations on the interannual variation in PM<sub>2.5</sub> concentrations over the Beijing–Tianjin–Hebei region in 2013–2018 X. Wang & R. Zhang 10.5194/acp-20-7667-2020
- Air quality improvement in response to intensified control strategies in Beijing during 2013–2019 W. Li et al. 10.1016/j.scitotenv.2020.140776
- Interannual variability and trends of combustion aerosol and dust in major continental outflows revealed by MODIS retrievals and CAM5 simulations during 2003–2017 H. Yu et al. 10.5194/acp-20-139-2020
- Using highly time-resolved online mass spectrometry to examine biogenic and anthropogenic contributions to organic aerosol in Beijing A. Mehra et al. 10.1039/D0FD00080A
- Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis R. Li et al. 10.5194/acp-21-15631-2021
- Estimating the impact of ground ozone concentrations on crop yields across China from 2014 to 2018: A multi-model comparison M. Xu et al. 10.1016/j.envpol.2021.117099
- Significant changes in autumn and winter aerosol composition and sources in Beijing from 2012 to 2018: Effects of clean air actions J. Li et al. 10.1016/j.envpol.2020.115855
- A Multi‐Dimensional Decomposition Method of the Meteorology‐Driven and Emission‐Driven Effects on Year‐to‐Year Air Quality Variations Y. Song et al. 10.1029/2020EA001424
- Predicting annual PM2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: An improved deep learning approach with spatial generalization ability Z. Wang et al. 10.1016/j.isprsjprs.2022.03.002
- Ground ozone variations at an urban and a rural station in Beijing from 2006 to 2017: Trend, meteorological influences and formation regimes N. Cheng et al. 10.1016/j.jclepro.2019.06.204
- Meteorological influences on PM2.5 and O3 trends and associated health burden since China's clean air actions L. Chen et al. 10.1016/j.scitotenv.2020.140837
- Characteristics of PM2.5 Pollution with Comparative Analysis of O3 in Autumn–Winter Seasons of Xingtai, China H. Wang et al. 10.3390/atmos12050569
- Meteorology impact on PM<sub>2.5</sub> change over a receptor region in the regional transport of air pollutants: observational study of recent emission reductions in central China X. Sun et al. 10.5194/acp-22-3579-2022
- Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences K. Li et al. 10.5194/acp-20-11423-2020
- Revealing the driving effect of emissions and meteorology on PM2.5 and O3 trends through a new algorithmic model D. Wang et al. 10.1016/j.chemosphere.2022.133756
- Variations and drivers of aerosol vertical characterization after clean air policy in China based on 7-years consecutive observations X. Chen et al. 10.1016/j.jes.2022.02.036
- Long-term trends of ambient nitrate (NO<sub>3</sub><sup>−</sup>) concentrations across China based on ensemble machine-learning models R. Li et al. 10.5194/essd-13-2147-2021
- Spatial Disparity of Meteorological Impacts on Carbon Monoxide Pollution in China during the COVID-19 Lockdown Period J. Lin et al. 10.1021/acsearthspacechem.1c00251
- Significant changes in the chemical compositions and sources of PM2.5 in Wuhan since the city lockdown as COVID-19 H. Zheng et al. 10.1016/j.scitotenv.2020.140000
- Spatiotemporal variations and connections of single and multiple meteorological factors on PM2.5 concentrations in Xi'an, China X. Zhang et al. 10.1016/j.atmosenv.2022.119015
- An improved decomposition method to differentiate meteorological and anthropogenic effects on air pollution: A national study in China during the COVID-19 lockdown period Y. Song et al. 10.1016/j.atmosenv.2021.118270
- How human mega-events influence urban airborne PM2.5 pollution: A systematic review and meta-analysis S. Li et al. 10.1016/j.envpol.2021.117009
- Analysis of the meteorological impact on PM2.5 pollution in Changchun based on KZ filter and WRF-CMAQ C. Fang et al. 10.1016/j.atmosenv.2021.118924
- Contributions of extremely unfavorable meteorology and coal-heating boiler control to air quality in December 2019 over Harbin, China D. Fu et al. 10.1016/j.apr.2021.101217
- Photochemical aging of Beijing urban PM2.5: Production of oxygenated volatile organic compounds H. Xia et al. 10.1016/j.scitotenv.2020.140751
- Assessment of meteorology vs. control measures in the China fine particular matter trend from 2013 to 2019 by an environmental meteorology index S. Gong et al. 10.5194/acp-21-2999-2021
- Decomposing PM2.5 air pollution rebounds in Northern China before COVID-19 C. Dong et al. 10.1007/s11356-021-17889-2
- Causation inference in complicated atmospheric environment Z. Chen et al. 10.1016/j.envpol.2022.119057
- Climate Change Policies and the Carbon Tax Effect on Meat and Dairy Industries in Brazil A. Alvim & E. Sanguinet 10.3390/su13169026
- Environmental Effective Assessment of Control Measures Implemented by Clean Air Action Plan (2013–2017) in Beijing, China Y. Xue et al. 10.3390/atmos11020189
- Characteristics and Source Apportionment of PM2.5 and O3 during Winter of 2013 and 2018 in Beijing Y. Zhong et al. 10.3390/atmos11121324
- Responses of surface O3 and PM2.5 trends to changes of anthropogenic emissions in summer over Beijing during 2014–2019: A study based on multiple linear regression and WRF-Chem Z. He et al. 10.1016/j.scitotenv.2021.150792
- Revealing Drivers of Haze Pollution by Explainable Machine Learning L. Hou et al. 10.1021/acs.estlett.1c00865
- Increasing surface ozone and enhanced secondary organic carbon formation at a city junction site: An epitome of the Yangtze River Delta, China (2014–2017) Y. Liu et al. 10.1016/j.envpol.2020.114847
- Aggravation effect of regional transport on wintertime PM2.5 over the middle reaches of the Yangtze River under China's air pollutant emission reduction process Y. Bai et al. 10.1016/j.apr.2021.101111
- Estimating the mortality burden attributable to temperature and PM2.5 from the perspective of atmospheric flow L. Han et al. 10.1088/1748-9326/abc8b9
- Evaluation of continuous emission reduction effect on PM2.5 pollution improvement through 2013–2018 in Beijing X. Wang et al. 10.1016/j.apr.2021.101055
- Source profiles and emission factors of organic and inorganic species in fine particles emitted from the ultra-low emission power plant and typical industries X. Zeng et al. 10.1016/j.scitotenv.2021.147966
- Assessment of the emission mitigation effect on the wintertime air quality in the Guanzhong Basin, China from 2013 to 2017 J. Liu et al. 10.1016/j.apr.2021.101196
- Projection of weather potential for winter haze episodes in Beijing by 1.5 °C and 2.0 °C global warming L. Qiu et al. 10.1016/j.accre.2020.09.002
- Meteorological Influences on Spatiotemporal Variation of PM2.5 Concentrations in Atmospheric Pollution Transmission Channel Cities of the Beijing–Tianjin–Hebei Region, China S. Wang et al. 10.3390/ijerph19031607
- Wavelet periodic and compositional characteristics of atmospheric PM2.5 in a typical air pollution event at Jinzhong city, China Y. Dong et al. 10.1016/j.apr.2020.09.013
- Fine particulate matter (PM<sub>2.5</sub>) trends in China, 2013–2018: separating contributions from anthropogenic emissions and meteorology S. Zhai et al. 10.5194/acp-19-11031-2019
- Effects of air pollution control policies on PM<sub>2.5</sub> pollution improvement in China from 2005 to 2017: a satellite-based perspective Z. Ma et al. 10.5194/acp-19-6861-2019
46 citations as recorded by crossref.
- Impact of urban heat island on meteorology and air quality at microenvironments G. Swamy et al. 10.1080/10962247.2020.1783390
- City-level air quality improvement in the Beijing-Tianjin-Hebei region from 2016/17 to 2017/18 heating seasons: Attributions and process analysis Y. Zhang et al. 10.1016/j.envpol.2021.116523
- Heavy haze pollution during the COVID-19 lockdown in the Beijing-Tianjin-Hebei region, China X. Zhang et al. 10.1016/j.jes.2021.08.030
- Links between the optical properties and chemical compositions of brown carbon chromophores in different environments: Contributions and formation of functionalized aromatic compounds X. Li et al. 10.1016/j.scitotenv.2021.147418
- Effects of atmospheric circulations on the interannual variation in PM<sub>2.5</sub> concentrations over the Beijing–Tianjin–Hebei region in 2013–2018 X. Wang & R. Zhang 10.5194/acp-20-7667-2020
- Air quality improvement in response to intensified control strategies in Beijing during 2013–2019 W. Li et al. 10.1016/j.scitotenv.2020.140776
- Interannual variability and trends of combustion aerosol and dust in major continental outflows revealed by MODIS retrievals and CAM5 simulations during 2003–2017 H. Yu et al. 10.5194/acp-20-139-2020
- Using highly time-resolved online mass spectrometry to examine biogenic and anthropogenic contributions to organic aerosol in Beijing A. Mehra et al. 10.1039/D0FD00080A
- Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis R. Li et al. 10.5194/acp-21-15631-2021
- Estimating the impact of ground ozone concentrations on crop yields across China from 2014 to 2018: A multi-model comparison M. Xu et al. 10.1016/j.envpol.2021.117099
- Significant changes in autumn and winter aerosol composition and sources in Beijing from 2012 to 2018: Effects of clean air actions J. Li et al. 10.1016/j.envpol.2020.115855
- A Multi‐Dimensional Decomposition Method of the Meteorology‐Driven and Emission‐Driven Effects on Year‐to‐Year Air Quality Variations Y. Song et al. 10.1029/2020EA001424
- Predicting annual PM2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: An improved deep learning approach with spatial generalization ability Z. Wang et al. 10.1016/j.isprsjprs.2022.03.002
- Ground ozone variations at an urban and a rural station in Beijing from 2006 to 2017: Trend, meteorological influences and formation regimes N. Cheng et al. 10.1016/j.jclepro.2019.06.204
- Meteorological influences on PM2.5 and O3 trends and associated health burden since China's clean air actions L. Chen et al. 10.1016/j.scitotenv.2020.140837
- Characteristics of PM2.5 Pollution with Comparative Analysis of O3 in Autumn–Winter Seasons of Xingtai, China H. Wang et al. 10.3390/atmos12050569
- Meteorology impact on PM<sub>2.5</sub> change over a receptor region in the regional transport of air pollutants: observational study of recent emission reductions in central China X. Sun et al. 10.5194/acp-22-3579-2022
- Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences K. Li et al. 10.5194/acp-20-11423-2020
- Revealing the driving effect of emissions and meteorology on PM2.5 and O3 trends through a new algorithmic model D. Wang et al. 10.1016/j.chemosphere.2022.133756
- Variations and drivers of aerosol vertical characterization after clean air policy in China based on 7-years consecutive observations X. Chen et al. 10.1016/j.jes.2022.02.036
- Long-term trends of ambient nitrate (NO<sub>3</sub><sup>−</sup>) concentrations across China based on ensemble machine-learning models R. Li et al. 10.5194/essd-13-2147-2021
- Spatial Disparity of Meteorological Impacts on Carbon Monoxide Pollution in China during the COVID-19 Lockdown Period J. Lin et al. 10.1021/acsearthspacechem.1c00251
- Significant changes in the chemical compositions and sources of PM2.5 in Wuhan since the city lockdown as COVID-19 H. Zheng et al. 10.1016/j.scitotenv.2020.140000
- Spatiotemporal variations and connections of single and multiple meteorological factors on PM2.5 concentrations in Xi'an, China X. Zhang et al. 10.1016/j.atmosenv.2022.119015
- An improved decomposition method to differentiate meteorological and anthropogenic effects on air pollution: A national study in China during the COVID-19 lockdown period Y. Song et al. 10.1016/j.atmosenv.2021.118270
- How human mega-events influence urban airborne PM2.5 pollution: A systematic review and meta-analysis S. Li et al. 10.1016/j.envpol.2021.117009
- Analysis of the meteorological impact on PM2.5 pollution in Changchun based on KZ filter and WRF-CMAQ C. Fang et al. 10.1016/j.atmosenv.2021.118924
- Contributions of extremely unfavorable meteorology and coal-heating boiler control to air quality in December 2019 over Harbin, China D. Fu et al. 10.1016/j.apr.2021.101217
- Photochemical aging of Beijing urban PM2.5: Production of oxygenated volatile organic compounds H. Xia et al. 10.1016/j.scitotenv.2020.140751
- Assessment of meteorology vs. control measures in the China fine particular matter trend from 2013 to 2019 by an environmental meteorology index S. Gong et al. 10.5194/acp-21-2999-2021
- Decomposing PM2.5 air pollution rebounds in Northern China before COVID-19 C. Dong et al. 10.1007/s11356-021-17889-2
- Causation inference in complicated atmospheric environment Z. Chen et al. 10.1016/j.envpol.2022.119057
- Climate Change Policies and the Carbon Tax Effect on Meat and Dairy Industries in Brazil A. Alvim & E. Sanguinet 10.3390/su13169026
- Environmental Effective Assessment of Control Measures Implemented by Clean Air Action Plan (2013–2017) in Beijing, China Y. Xue et al. 10.3390/atmos11020189
- Characteristics and Source Apportionment of PM2.5 and O3 during Winter of 2013 and 2018 in Beijing Y. Zhong et al. 10.3390/atmos11121324
- Responses of surface O3 and PM2.5 trends to changes of anthropogenic emissions in summer over Beijing during 2014–2019: A study based on multiple linear regression and WRF-Chem Z. He et al. 10.1016/j.scitotenv.2021.150792
- Revealing Drivers of Haze Pollution by Explainable Machine Learning L. Hou et al. 10.1021/acs.estlett.1c00865
- Increasing surface ozone and enhanced secondary organic carbon formation at a city junction site: An epitome of the Yangtze River Delta, China (2014–2017) Y. Liu et al. 10.1016/j.envpol.2020.114847
- Aggravation effect of regional transport on wintertime PM2.5 over the middle reaches of the Yangtze River under China's air pollutant emission reduction process Y. Bai et al. 10.1016/j.apr.2021.101111
- Estimating the mortality burden attributable to temperature and PM2.5 from the perspective of atmospheric flow L. Han et al. 10.1088/1748-9326/abc8b9
- Evaluation of continuous emission reduction effect on PM2.5 pollution improvement through 2013–2018 in Beijing X. Wang et al. 10.1016/j.apr.2021.101055
- Source profiles and emission factors of organic and inorganic species in fine particles emitted from the ultra-low emission power plant and typical industries X. Zeng et al. 10.1016/j.scitotenv.2021.147966
- Assessment of the emission mitigation effect on the wintertime air quality in the Guanzhong Basin, China from 2013 to 2017 J. Liu et al. 10.1016/j.apr.2021.101196
- Projection of weather potential for winter haze episodes in Beijing by 1.5 °C and 2.0 °C global warming L. Qiu et al. 10.1016/j.accre.2020.09.002
- Meteorological Influences on Spatiotemporal Variation of PM2.5 Concentrations in Atmospheric Pollution Transmission Channel Cities of the Beijing–Tianjin–Hebei Region, China S. Wang et al. 10.3390/ijerph19031607
- Wavelet periodic and compositional characteristics of atmospheric PM2.5 in a typical air pollution event at Jinzhong city, China Y. Dong et al. 10.1016/j.apr.2020.09.013
2 citations as recorded by crossref.
- Fine particulate matter (PM<sub>2.5</sub>) trends in China, 2013–2018: separating contributions from anthropogenic emissions and meteorology S. Zhai et al. 10.5194/acp-19-11031-2019
- Effects of air pollution control policies on PM<sub>2.5</sub> pollution improvement in China from 2005 to 2017: a satellite-based perspective Z. Ma et al. 10.5194/acp-19-6861-2019
Latest update: 26 May 2022
Short summary
We employed Kolmogorov–Zurbenko filtering and WRF-CMAQ to quantify the relative contribution of meteorological variations and emission reduction to PM2.5 reduction in Beijing from 2013 to 2017, which is crucial to evaluate the Five-year Clean Air Action Plan. Both models suggested that despite favourable meteorological conditions, the control of anthropogenic emissions accounted for around 80 % of PM2.5 reduction in Beijing. Therefore, such a long-term clean air plan should be continued.
We employed Kolmogorov–Zurbenko filtering and WRF-CMAQ to quantify the relative contribution of...
Altmetrics
Final-revised paper
Preprint