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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EndNote: 295
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Cumulative views and downloads
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Total article views: 7,710 (including HTML, PDF, and XML)
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5,721
1,894
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7,710
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PDF: 1,894
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Total: 7,710
BibTeX: 140
EndNote: 281
Views and downloads (calculated since 23 Jun 2021)
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Total article views: 1,482 (including HTML, PDF, and XML)
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843
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Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 9,192 (including HTML, PDF, and XML)
Thereof 9,192 with geography defined
and 0 with unknown origin.
Total article views: 7,710 (including HTML, PDF, and XML)
Thereof 7,702 with geography defined
and 8 with unknown origin.
Total article views: 1,482 (including HTML, PDF, and XML)
Thereof 1,482 with geography defined
and 0 with unknown origin.
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...
