Dynamics-based estimates of decline trend with fine temporal variations in China's PM<sub>2.5</sub> emissions
<p>Timely, continuous, and dynamics-based estimates of PM<span class="inline-formula"><sub>2.5</sub></span> emissions with a high temporal resolution can be objectively and optimally obtained by assimilating observed surface PM<span class="inline-formu...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-11-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://acp.copernicus.org/articles/23/14505/2023/acp-23-14505-2023.pdf |
| _version_ | 1797465258706599936 |
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| author | Z. Peng L. Lei L. Lei Z.-M. Tan Z.-M. Tan M. Zhang A. Ding X. Kou |
| author_facet | Z. Peng L. Lei L. Lei Z.-M. Tan Z.-M. Tan M. Zhang A. Ding X. Kou |
| author_sort | Z. Peng |
| collection | DOAJ |
| description | <p>Timely, continuous, and dynamics-based estimates of PM<span class="inline-formula"><sub>2.5</sub></span> emissions with a high temporal resolution can be objectively and optimally obtained by assimilating observed surface PM<span class="inline-formula"><sub>2.5</sub></span> concentrations using flow-dependent error statistics. The annual dynamics-based estimates of PM<span class="inline-formula"><sub>2.5</sub></span> emissions averaged over mainland China for the years 2016–2020 without biomass burning emissions are 7.66, 7.40, 7.02, 6.62, and 6.38 Tg, respectively, which are very closed to the values of the Multi-resolution Emission Inventory (MEIC). Annual PM<span class="inline-formula"><sub>2.5</sub></span> emissions in China have consistently decreased by approximately 3 % to 5 % from 2017 to 2020. Significant PM<span class="inline-formula"><sub>2.5</sub></span> emission reductions occurred frequently in regions with large PM<span class="inline-formula"><sub>2.5</sub></span> emissions. COVID-19 could cause a significant reduction of PM<span class="inline-formula"><sub>2.5</sub></span> emissions in the North China Plain and northeast of China in 2020. The magnitudes of PM<span class="inline-formula"><sub>2.5</sub></span> emissions were greater in the winter than in the summer. PM<span class="inline-formula"><sub>2.5</sub></span> emissions show an obvious diurnal variation that varies significantly with the season and urban population. Compared to the diurnal variations of PM<span class="inline-formula"><sub>2.5</sub></span> emission fractions estimated based on diurnal variation profiles from the US and EU, the estimated PM<span class="inline-formula"><sub>2.5</sub></span> emission fractions are 1.25 % larger during the evening, the morning peak is 0.57 % smaller in winter and 1.05 % larger in summer, and the evening peak is 0.83 % smaller. Improved representations of PM<span class="inline-formula"><sub>2.5</sub></span> emissions across timescales can benefit emission inventory, regulation policy and emission trading schemes, particularly for especially for high-temporal-resolution air quality forecasting and policy response to severe haze pollution or rare human events with significant socioeconomic impacts.</p> |
| first_indexed | 2024-03-09T18:19:00Z |
| format | Article |
| id | doaj.art-c88dfe8892624a1885da534098d8b32b |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-03-09T18:19:00Z |
| publishDate | 2023-11-01 |
| publisher | Copernicus Publications |
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| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-c88dfe8892624a1885da534098d8b32b2023-11-24T08:29:13ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242023-11-0123145051452010.5194/acp-23-14505-2023Dynamics-based estimates of decline trend with fine temporal variations in China's PM<sub>2.5</sub> emissionsZ. Peng0L. Lei1L. Lei2Z.-M. Tan3Z.-M. Tan4M. Zhang5A. Ding6X. Kou7School of Atmospheric Sciences, Nanjing University, Nanjing 210093, ChinaSchool of Atmospheric Sciences, Nanjing University, Nanjing 210093, ChinaKey Laboratory of Mesoscale Severe Weather, Ministry of Education, Nanjing University, Nanjing 210093, ChinaSchool of Atmospheric Sciences, Nanjing University, Nanjing 210093, ChinaKey Laboratory of Mesoscale Severe Weather, Ministry of Education, Nanjing University, Nanjing 210093, ChinaState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaSchool of Atmospheric Sciences, Nanjing University, Nanjing 210093, ChinaInstitute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China<p>Timely, continuous, and dynamics-based estimates of PM<span class="inline-formula"><sub>2.5</sub></span> emissions with a high temporal resolution can be objectively and optimally obtained by assimilating observed surface PM<span class="inline-formula"><sub>2.5</sub></span> concentrations using flow-dependent error statistics. The annual dynamics-based estimates of PM<span class="inline-formula"><sub>2.5</sub></span> emissions averaged over mainland China for the years 2016–2020 without biomass burning emissions are 7.66, 7.40, 7.02, 6.62, and 6.38 Tg, respectively, which are very closed to the values of the Multi-resolution Emission Inventory (MEIC). Annual PM<span class="inline-formula"><sub>2.5</sub></span> emissions in China have consistently decreased by approximately 3 % to 5 % from 2017 to 2020. Significant PM<span class="inline-formula"><sub>2.5</sub></span> emission reductions occurred frequently in regions with large PM<span class="inline-formula"><sub>2.5</sub></span> emissions. COVID-19 could cause a significant reduction of PM<span class="inline-formula"><sub>2.5</sub></span> emissions in the North China Plain and northeast of China in 2020. The magnitudes of PM<span class="inline-formula"><sub>2.5</sub></span> emissions were greater in the winter than in the summer. PM<span class="inline-formula"><sub>2.5</sub></span> emissions show an obvious diurnal variation that varies significantly with the season and urban population. Compared to the diurnal variations of PM<span class="inline-formula"><sub>2.5</sub></span> emission fractions estimated based on diurnal variation profiles from the US and EU, the estimated PM<span class="inline-formula"><sub>2.5</sub></span> emission fractions are 1.25 % larger during the evening, the morning peak is 0.57 % smaller in winter and 1.05 % larger in summer, and the evening peak is 0.83 % smaller. Improved representations of PM<span class="inline-formula"><sub>2.5</sub></span> emissions across timescales can benefit emission inventory, regulation policy and emission trading schemes, particularly for especially for high-temporal-resolution air quality forecasting and policy response to severe haze pollution or rare human events with significant socioeconomic impacts.</p>https://acp.copernicus.org/articles/23/14505/2023/acp-23-14505-2023.pdf |
| spellingShingle | Z. Peng L. Lei L. Lei Z.-M. Tan Z.-M. Tan M. Zhang A. Ding X. Kou Dynamics-based estimates of decline trend with fine temporal variations in China's PM<sub>2.5</sub> emissions Atmospheric Chemistry and Physics |
| title | Dynamics-based estimates of decline trend with fine temporal variations in China's PM<sub>2.5</sub> emissions |
| title_full | Dynamics-based estimates of decline trend with fine temporal variations in China's PM<sub>2.5</sub> emissions |
| title_fullStr | Dynamics-based estimates of decline trend with fine temporal variations in China's PM<sub>2.5</sub> emissions |
| title_full_unstemmed | Dynamics-based estimates of decline trend with fine temporal variations in China's PM<sub>2.5</sub> emissions |
| title_short | Dynamics-based estimates of decline trend with fine temporal variations in China's PM<sub>2.5</sub> emissions |
| title_sort | dynamics based estimates of decline trend with fine temporal variations in china s pm sub 2 5 sub emissions |
| url | https://acp.copernicus.org/articles/23/14505/2023/acp-23-14505-2023.pdf |
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