Articles | Volume 21, issue 9
https://doi.org/10.5194/acp-21-7343-2021
© 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-21-7343-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 May 2021
Research article |
| 12 May 2021
| 12 May 2021
Modeled changes in source contributions of particulate matter during the COVID-19 pandemic in the Yangtze River Delta, China
Jinlong Ma
Fudan Tyndall Center, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
Juanyong Shen
School of Environmental Science and Engineering, Shanghai Jiao Tong
University, Shanghai 200240, China
Peng Wang
Department of Civil and Environmental Engineering, Hong Kong
Polytechnic University, Hong Kong 99907, China
Shengqiang Zhu
Fudan Tyndall Center, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
Yu Wang
Fudan Tyndall Center, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
Pengfei Wang
Department of Civil and Environmental Engineering, Louisiana State
University, Baton Rouge, LA 70803, USA
Gehui Wang
Key Laboratory of Geographic Information Science, Ministry of
Education, School of Geographic Sciences, East China Normal University, Shanghai 200241, China
Institute of Eco-Chongming (IEC), East China Normal University, Shanghai 200062, China
Fudan Tyndall Center, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
Institute of Eco-Chongming (IEC), East China Normal University, Shanghai 200062, China
Fudan Tyndall Center, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
Institute of Eco-Chongming (IEC), East China Normal University, Shanghai 200062, China
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- Diagnosing drivers of PM2.5 simulation biases in China from meteorology, chemical composition, and emission sources using an efficient machine learning method S. Wang et al. 10.5194/gmd-17-3617-2024
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- Reduction of the concentration of particulate material at a sampling point in Cusco city at the beginning of the pandemic J. Warthon et al. 10.1038/s41598-023-50955-y
28 citations as recorded by crossref.
- The Atmospheric Environment Effects of the COVID-19 Pandemic: A Metrological Study Z. Chen & D. Shi 10.3390/ijerph191711111
- The effect of cross-regional transport on ozone and particulate matter pollution in China: A review of methodology and current knowledge K. Qu et al. 10.1016/j.scitotenv.2024.174196
- Measurement report: Hygroscopic growth of ambient fine particles measured at five sites in China L. Chen et al. 10.5194/acp-22-6773-2022
- WITHDRAWN: Assessment of COVID-19 pandemic effects on ship pollutant emissions in major international seaports J. Liu et al. 10.1016/j.envres.2021.112246
- Roles of Regional Transport and Vertical Mixing in Aerosol Pollution in Shanghai Over the COVID‐19 Lockdown Period Observed Above Urban Canopy Z. Song et al. 10.1029/2023JD038540
- Understanding the nocturnal ozone increase in Nanjing, China: Insights from observations and numerical simulations K. Wang et al. 10.1016/j.scitotenv.2022.160211
- Regional transport dominates air pollution events in all seasons in Beijing in 2020 Z. Zhang et al. 10.1016/j.atmosenv.2024.120395
- Chemical characteristics and sources of PM2.5 in Hohhot, a semi-arid city in northern China: insight from the COVID-19 lockdown H. Zhou et al. 10.5194/acp-22-12153-2022
- Seasonal modeling analysis of nitrate formation pathways in Yangtze River Delta region, China J. Sun et al. 10.5194/acp-22-12629-2022
- Characterization and Source Apportionment of PM in Handan—A Case Study during the COVID-19 M. Shu et al. 10.3390/atmos14040680
- Influence of urbanization on meteorological conditions and ozone pollution in the Central Plains Urban Agglomeration, China J. Tian et al. 10.1016/j.envpol.2024.124290
- Improved estimation of particulate matter in China based on multisource data fusion S. Wang et al. 10.1016/j.scitotenv.2023.161552
- 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
- Estimating particulate matter concentrations and meteorological contributions in China during 2000–2020 S. Wang et al. 10.1016/j.chemosphere.2023.138742
- Evaluation of Long-Term Modeling Fine Particulate Matter and Ozone in China During 2013–2019 J. Mao et al. 10.3389/fenvs.2022.872249
- Estimating city NOX emissions from TROPOMI high spatial resolution observations – A case study on Yangtze River Delta, China R. Xue et al. 10.1016/j.uclim.2022.101150
- Modeling PM2.5 During Severe Atmospheric Pollution Episode in Lagos, Nigeria: Spatiotemporal Variations, Source Apportionment, and Meteorological Influences I. Sulaymon et al. 10.1029/2022JD038360
- Using the COVID-19 lockdown to identify atmospheric processes and meteorology influences on regional PM2.5 pollution episodes in the Beijing-Tianjin-Hebei, China I. Sulaymon et al. 10.1016/j.atmosres.2023.106940
- Research on ozone pollution control strategies for urban agglomerations based on ozone formation sensitivity and emission source contributions J. Tian et al. 10.1016/j.envpol.2024.125182
- WITHDRAWN: Insights into the source contributions to the elevated fine particulate matter in Nigeria using a source-oriented chemical transport model I. Sulaymon et al. 10.1016/j.chemosphere.2024.141548
- Anthropogenic emissions estimated using surface observations and their impacts on PM2.5 source apportionment over the Yangtze River Delta, China S. Feng et al. 10.1016/j.scitotenv.2022.154522
- Evolution of organic carbon during COVID-19 lockdown period: Possible contribution of nocturnal chemistry Z. Feng et al. 10.1016/j.scitotenv.2021.152191
- Impacts of land cover changes on biogenic emission and its contribution to ozone and secondary organic aerosol in China J. Ma et al. 10.5194/acp-23-4311-2023
- Studying the Regional Transmission of Air Pollution Based on Spatiotemporal Multivariable Data X. Lu et al. 10.3390/atmos14091438
- Variations and Sources of Organic Aerosol in Winter Beijing under Markedly Reduced Anthropogenic Activities During COVID-2019 R. Hu et al. 10.1021/acs.est.1c05125
- Relationship between ozone and air temperature in future conditions: A case study in sichuan basin, China J. Wang et al. 10.1016/j.envpol.2023.123276
- Diagnosing drivers of PM2.5 simulation biases in China from meteorology, chemical composition, and emission sources using an efficient machine learning method S. Wang et al. 10.5194/gmd-17-3617-2024
- Regional source contributions to summertime ozone in the Yangtze River Delta M. Wang et al. 10.1016/j.atmosenv.2024.120822
Latest update: 13 Dec 2024
Short summary
Due to the reduced anthropogenic emissions during the COVID-19 lockdown, mainly from the transportation and industrial sectors, PM2.5 decreased significantly in the whole Yangtze River Delta (YRD) and its major cities. However, the contributions and relative importance of different source sectors and regions changed differently, indicating that control strategies should be adjusted accordingly for further pollution control.
Due to the reduced anthropogenic emissions during the COVID-19 lockdown, mainly from the...
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