Impact of weather patterns and meteorological factors on PM<sub>2.5</sub> and O<sub>3</sub> responses to the COVID-19 lockdown in China
Abstract 2.5 pollution and O3 decline from the climatology in NCP and SC could be effectively explained by the presence of a double-centre high-pressure system across China. Moreover, the GBM results provided a quantitative assessment of the importance of each meteorological factor in driving the predictions of PM2.5 and O3 under the specific weather system. These results indicate that temperature played the most crucial role in the haze event in NCP, as well as in the O3 change in SC. This valuable information will ultimately contribute to our ability to predict air pollution under future emission scenarios and changing weather patterns that may be influenced by climate change.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Impact of weather patterns and meteorological factors on PM2.5 and O3 responses to the COVID-19 lockdown in China ; volume:24 ; number:11 ; year:2024 ; pages:6539-6553 ; extent:15
Atmospheric chemistry and physics ; 24, Heft 11 (2024), 6539-6553 (gesamt 15)
- Creator
- DOI
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10.5194/acp-24-6539-2024
- URN
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urn:nbn:de:101:1-2406060415376.530857010998
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:44 AM CEST
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Associated
- Shen, Fuzhen
- Hegglin, Michaela I.
- Yuan, Yue
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Impact of Weather Patterns and Meteorological Factors on PM<sub>2.5</sub> and O<sub>3</sub> during the Covid-19 Lockdown in China
Performance evaluation of MOMA – a remote network calibration technique for PM<sub>2.5</sub> and PM<sub>10</sub> sensors
Secondary PM<sub>2.5</sub> decreases significantly less than NO<sub>2</sub> emission reductions during COVID lockdown in Germany
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The spatiotemporal relationship between PM<sub>2.5</sub> and AOD in China: Influencing factors and Implications for satellite PM<sub>2.5</sub> estimations by MAIAC AOD
Predicting gridded winter PM<sub>2.5</sub> concentration in east of China
PM<sub>10</sub> variation, composition, and source analysis in Tuscany (Italy) following the COVID-19 lockdown restrictions
PM<sub>10</sub> variation, composition, and source analysis in Tuscany (Italy) following the COVID-19 lockdown restrictions
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Impact of Weather Patterns and Meteorological Factors on PM<sub>2.5</sub> and O<sub>3</sub> during the Covid-19 Lockdown in China
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Secondary PM<sub>2.5</sub> decreases significantly less than NO<sub>2</sub> emission reductions during COVID lockdown in Germany
Response of PM<sub>2.5</sub> chemical composition to variations in anthropogenic emissions and meteorological conditions during COVID-19 lockdown
Emerging extreme Saharan-dust events expand northward over the Atlantic and Europe prompting record-breaking PM<sub>10</sub> and PM<sub>2.5</sub> episodes
Measurement report: Evaluation of the TOF-ACSM-CV for PM<sub>1.0</sub> and PM<sub>2.5</sub> measurements during the RITA-2021 field campaign
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The spatiotemporal relationship between PM<sub>2.5</sub> and AOD in China: Influencing factors and Implications for satellite PM<sub>2.5</sub> estimations by MAIAC AOD
Predicting gridded winter PM<sub>2.5</sub> concentration in east of China
PM<sub>10</sub> variation, composition, and source analysis in Tuscany (Italy) following the COVID-19 lockdown restrictions
PM<sub>10</sub> variation, composition, and source analysis in Tuscany (Italy) following the COVID-19 lockdown restrictions