Articles | Volume 21, issue 12
https://doi.org/10.5194/acp-21-9475-2021
© 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-21-9475-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Jun 2021
Research article |
| 23 Jun 2021
Separating emission and meteorological contributions to long-term PM2.5 trends over eastern China during 2000–2018
Qingyang Xiao
State Key Joint Laboratory of Environment Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing 100084, China
Yixuan Zheng
Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental
Planning, Beijing 100012, China
State Key Joint Laboratory of Environment 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
Cuihong Chen
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084,
China
Satellite Environment Center, Ministry of Ecology and Environment of the People's Republic of China, Beijing 100094, China
Xiaomeng Huang
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084,
China
Huizheng Che
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Xiaoye Zhang
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Kebin He
State Key Joint Laboratory of Environment 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
Qiang Zhang
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084,
China
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Cited
13 citations as recorded by crossref.
- Trends and Variability of Ozone Pollution over the Mountain-Basin Areas in Sichuan Province during 2013–2020: Synoptic Impacts and Formation Regimes Y. Chen et al. 10.3390/atmos12121557
- The quasi-biweekly oscillation of eastern China PM2.5 in response to different Rossby wave trains over the Eurasian continent J. Liu et al. 10.1016/j.atmosres.2021.105990
- Synergy of multiple drivers leading to severe winter haze pollution in a megacity in Northeast China Y. Cheng et al. 10.1016/j.atmosres.2022.106075
- 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
- Revealing Drivers of Haze Pollution by Explainable Machine Learning L. Hou et al. 10.1021/acs.estlett.1c00865
- Impacts of COVID-19 on air quality in mid-eastern China: An insight into meteorology and emissions X. Zhao et al. 10.1016/j.atmosenv.2021.118750
- Tracking PM2.5 and O3 Pollution and the Related Health Burden in China 2013–2020 Q. Xiao et al. 10.1021/acs.est.1c04548
- Observed coupling between air mass history, secondary growth of nucleation mode particles and aerosol pollution levels in Beijing S. Hakala et al. 10.1039/D1EA00089F
- Does Air Pollution Impact Fiscal Sustainability? Evidence from Chinese Cities G. Gao et al. 10.3390/en14217247
- Alcohol consumption, poor lifestyle choices, and air pollution worsen cognitive function in seniors: a cohort study in China L. Han & J. Jia 10.1007/s11356-021-17891-8
- 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
- A data-augmentation approach to deriving long-term surface SO2 across Northern China: Implications for interpretable machine learning S. Zhang et al. 10.1016/j.scitotenv.2022.154278
- Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion G. Geng et al. 10.1021/acs.est.1c01863
13 citations as recorded by crossref.
- Trends and Variability of Ozone Pollution over the Mountain-Basin Areas in Sichuan Province during 2013–2020: Synoptic Impacts and Formation Regimes Y. Chen et al. 10.3390/atmos12121557
- The quasi-biweekly oscillation of eastern China PM2.5 in response to different Rossby wave trains over the Eurasian continent J. Liu et al. 10.1016/j.atmosres.2021.105990
- Synergy of multiple drivers leading to severe winter haze pollution in a megacity in Northeast China Y. Cheng et al. 10.1016/j.atmosres.2022.106075
- 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
- Revealing Drivers of Haze Pollution by Explainable Machine Learning L. Hou et al. 10.1021/acs.estlett.1c00865
- Impacts of COVID-19 on air quality in mid-eastern China: An insight into meteorology and emissions X. Zhao et al. 10.1016/j.atmosenv.2021.118750
- Tracking PM2.5 and O3 Pollution and the Related Health Burden in China 2013–2020 Q. Xiao et al. 10.1021/acs.est.1c04548
- Observed coupling between air mass history, secondary growth of nucleation mode particles and aerosol pollution levels in Beijing S. Hakala et al. 10.1039/D1EA00089F
- Does Air Pollution Impact Fiscal Sustainability? Evidence from Chinese Cities G. Gao et al. 10.3390/en14217247
- Alcohol consumption, poor lifestyle choices, and air pollution worsen cognitive function in seniors: a cohort study in China L. Han & J. Jia 10.1007/s11356-021-17891-8
- 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
- A data-augmentation approach to deriving long-term surface SO2 across Northern China: Implications for interpretable machine learning S. Zhang et al. 10.1016/j.scitotenv.2022.154278
- Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion G. Geng et al. 10.1021/acs.est.1c01863
Latest update: 28 Mar 2023
Short summary
We used both statistical methods and a chemical transport model to assess the contribution of meteorology and emissions to PM2.5 during 2000–2018. Both methods revealed that emissions dominated the long-term PM2.5 trend with notable meteorological effects ranged up to 37.9 % of regional annual average PM2.5. The meteorological contribution became more beneficial to PM2.5 control in southern China but more unfavorable in northern China during the studied period.
We used both statistical methods and a chemical transport model to assess the contribution of...
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