The Different Impacts of Emissions and Meteorology on PM<sub>2.5</sub> Changes in Various Regions in China: A Case Study
Emissions and meteorology are significant factors affecting aerosol pollution, but it is not sufficient to understand their relative contributions to aerosol pollution changes. In this study, the observational data and the chemical model (GRAPES_CUACE) are combined to estimate the drivers of PM<s...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/13/2/222 |
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| author | Wenjie Zhang Hong Wang Xiaoye Zhang Yue Peng Zhaodong Liu Junting Zhong Yaqiang Wang Huizheng Che Yifan Zhao |
| author_facet | Wenjie Zhang Hong Wang Xiaoye Zhang Yue Peng Zhaodong Liu Junting Zhong Yaqiang Wang Huizheng Che Yifan Zhao |
| author_sort | Wenjie Zhang |
| collection | DOAJ |
| description | Emissions and meteorology are significant factors affecting aerosol pollution, but it is not sufficient to understand their relative contributions to aerosol pollution changes. In this study, the observational data and the chemical model (GRAPES_CUACE) are combined to estimate the drivers of PM<sub>2.5</sub> changes in various regions (the Beijing–Tianjin–Hebei (BTH), the Central China (CC), the Yangtze River Delta (YRD), and the Pearl River Delta (PRD)) between the first month after COVID-19 (FMC_2020) (i.e., from 23 January to 23 February 2020) and the corresponding period in 2019 (FMC_2019). The results show that PM<sub>2.5</sub> mass concentration increased by 26% (from 61 to 77 µg m<sup>−3</sup>) in the BTH, while it decreased by 26% (from 94 to 70 µg m<sup>−3</sup>) in the CC, 29% (from 52 to 37 µg m<sup>−3</sup>) in the YRD, and 32% (from 34 to 23 µg m<sup>−3</sup>) in the PRD in FMC_2020 comparing with FMC_2019, respectively. In the BTH, although emissions reductions partly improved PM<sub>2.5</sub> pollution (−5%, i.e., PM<sub>2.5</sub> mass concentration decreased by 5% due to emissions) in FMC_2020 compared with that of FMC_2019, the total increase in PM<sub>2.5</sub> mass concentration was dominated by more unfavorable meteorological conditions (+31%, i.e., PM<sub>2.5</sub> mass concentration increased by 31% due to meteorology). In the CC and the YRD, emissions reductions (−33 and −36%) played a dominating role in the total decrease in PM<sub>2.5</sub> in FMC_2020, while the changed meteorological conditions partly worsened PM<sub>2.5</sub> pollution (+7 and +7%). In the PRD, emissions reductions (−23%) and more favorable meteorological conditions (−9%) led to a total decrease in PM<sub>2.5</sub> mass concentration. This study reminds us that the uncertainties of relative contributions of meteorological conditions and emissions on PM<sub>2.5</sub> changes in various regions are large, which is conducive to policymaking scientifically in China. |
| first_indexed | 2024-03-09T22:38:49Z |
| format | Article |
| id | doaj.art-897b20a754aa4b8c9c9ac5355b2a94bb |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-09T22:38:49Z |
| publishDate | 2022-01-01 |
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| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-897b20a754aa4b8c9c9ac5355b2a94bb2023-11-23T18:44:09ZengMDPI AGAtmosphere2073-44332022-01-0113222210.3390/atmos13020222The Different Impacts of Emissions and Meteorology on PM<sub>2.5</sub> Changes in Various Regions in China: A Case StudyWenjie Zhang0Hong Wang1Xiaoye Zhang2Yue Peng3Zhaodong Liu4Junting Zhong5Yaqiang Wang6Huizheng Che7Yifan Zhao8Department of Atmospheric and Oceanic Sciences and Institute of Atmospheric Sciences, Fudan University, Shanghai 200433, ChinaState Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaState Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaState Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaState Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaState Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaState Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaState Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaState Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaEmissions and meteorology are significant factors affecting aerosol pollution, but it is not sufficient to understand their relative contributions to aerosol pollution changes. In this study, the observational data and the chemical model (GRAPES_CUACE) are combined to estimate the drivers of PM<sub>2.5</sub> changes in various regions (the Beijing–Tianjin–Hebei (BTH), the Central China (CC), the Yangtze River Delta (YRD), and the Pearl River Delta (PRD)) between the first month after COVID-19 (FMC_2020) (i.e., from 23 January to 23 February 2020) and the corresponding period in 2019 (FMC_2019). The results show that PM<sub>2.5</sub> mass concentration increased by 26% (from 61 to 77 µg m<sup>−3</sup>) in the BTH, while it decreased by 26% (from 94 to 70 µg m<sup>−3</sup>) in the CC, 29% (from 52 to 37 µg m<sup>−3</sup>) in the YRD, and 32% (from 34 to 23 µg m<sup>−3</sup>) in the PRD in FMC_2020 comparing with FMC_2019, respectively. In the BTH, although emissions reductions partly improved PM<sub>2.5</sub> pollution (−5%, i.e., PM<sub>2.5</sub> mass concentration decreased by 5% due to emissions) in FMC_2020 compared with that of FMC_2019, the total increase in PM<sub>2.5</sub> mass concentration was dominated by more unfavorable meteorological conditions (+31%, i.e., PM<sub>2.5</sub> mass concentration increased by 31% due to meteorology). In the CC and the YRD, emissions reductions (−33 and −36%) played a dominating role in the total decrease in PM<sub>2.5</sub> in FMC_2020, while the changed meteorological conditions partly worsened PM<sub>2.5</sub> pollution (+7 and +7%). In the PRD, emissions reductions (−23%) and more favorable meteorological conditions (−9%) led to a total decrease in PM<sub>2.5</sub> mass concentration. This study reminds us that the uncertainties of relative contributions of meteorological conditions and emissions on PM<sub>2.5</sub> changes in various regions are large, which is conducive to policymaking scientifically in China.https://www.mdpi.com/2073-4433/13/2/222PM<sub>2.5</sub>meteorological conditionsemissions reductionsdifferent regions in China |
| spellingShingle | Wenjie Zhang Hong Wang Xiaoye Zhang Yue Peng Zhaodong Liu Junting Zhong Yaqiang Wang Huizheng Che Yifan Zhao The Different Impacts of Emissions and Meteorology on PM<sub>2.5</sub> Changes in Various Regions in China: A Case Study Atmosphere PM<sub>2.5</sub> meteorological conditions emissions reductions different regions in China |
| title | The Different Impacts of Emissions and Meteorology on PM<sub>2.5</sub> Changes in Various Regions in China: A Case Study |
| title_full | The Different Impacts of Emissions and Meteorology on PM<sub>2.5</sub> Changes in Various Regions in China: A Case Study |
| title_fullStr | The Different Impacts of Emissions and Meteorology on PM<sub>2.5</sub> Changes in Various Regions in China: A Case Study |
| title_full_unstemmed | The Different Impacts of Emissions and Meteorology on PM<sub>2.5</sub> Changes in Various Regions in China: A Case Study |
| title_short | The Different Impacts of Emissions and Meteorology on PM<sub>2.5</sub> Changes in Various Regions in China: A Case Study |
| title_sort | different impacts of emissions and meteorology on pm sub 2 5 sub changes in various regions in china a case study |
| topic | PM<sub>2.5</sub> meteorological conditions emissions reductions different regions in China |
| url | https://www.mdpi.com/2073-4433/13/2/222 |
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