Characteristics of Ozone Pollution and the Impacts of Related Meteorological Factors in Shanxi Province, China
Based on environmental monitoring data and meteorological observation data of the Chinese major energy province, Shanxi, from 2015 to 2020, using the satellite remote sensing data of Atmospheric Infrared Sounder Instrument (AIRS) and Ozone Monitoring Instrument (OMI) in 2017, we analyzed the charact...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/13/10/1729 |
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| author | Ling Chen Hui Xiao Lingyun Zhu Xue Guo Wenya Wang Li Ma Wei Guo Jieying He Yan Wang Mingming Li Erping Chen Jie Lan Ruixian Nan |
| author_facet | Ling Chen Hui Xiao Lingyun Zhu Xue Guo Wenya Wang Li Ma Wei Guo Jieying He Yan Wang Mingming Li Erping Chen Jie Lan Ruixian Nan |
| author_sort | Ling Chen |
| collection | DOAJ |
| description | Based on environmental monitoring data and meteorological observation data of the Chinese major energy province, Shanxi, from 2015 to 2020, using the satellite remote sensing data of Atmospheric Infrared Sounder Instrument (AIRS) and Ozone Monitoring Instrument (OMI) in 2017, we analyzed the characteristics of surface ozone (O<sub>3</sub>) pollution and its correlation with meteorological factors, as well as the vertical distribution of O<sub>3</sub> in typical pollution cities in Shanxi Province. The results showed that surface O<sub>3</sub> became the primary pollutant in Shanxi. Surface O<sub>3</sub> has shown a zonal distribution with a high level in the south and a low level in the north region since 2017. Surface O<sub>3</sub> pollution was severe in 2019, and the maximum daily 8 h running average of O<sub>3</sub> (MDA8 O<sub>3</sub>) decreased, but annual mean O<sub>3</sub> in northern and central regions showed a slow rising trend in 2020. Comprehensive analyses of the influence of meteorological factors on surface O<sub>3</sub> indicated that O<sub>3</sub> pollution in Linfen, Yuncheng and Taiyuan was mainly caused by local photochemical reactions, while that in Jincheng, Xinzhou, Lvliang and Yangquan resulted from regional transports. O<sub>3</sub> volume mixing ratios (VMR) in the middle and lower troposphere generally increased with altitude, peaking at 120 ppbv at approximately 400 hPa. The positive vertical gradient of O<sub>3</sub> in the boundary layer was obvious in Taiyuan in summer and significant in the surface layer in Taiyuan and Linfen during winter and spring, which was associated with greater atmospheric dynamic stability and suppressed vertical mixing. Due to the lack of direct detection of O<sub>3</sub> in the lower troposphere in this region, O<sub>3</sub> vertical distribution retrieved by satellite observation is critical for the study of vertical mixing and transport of local O<sub>3</sub>, as well as its regional transport characteristics. |
| first_indexed | 2024-03-09T20:42:35Z |
| format | Article |
| id | doaj.art-361041d62e23476691cae41a4b099b4a |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-09T20:42:35Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-361041d62e23476691cae41a4b099b4a2023-11-23T22:52:50ZengMDPI AGAtmosphere2073-44332022-10-011310172910.3390/atmos13101729Characteristics of Ozone Pollution and the Impacts of Related Meteorological Factors in Shanxi Province, ChinaLing Chen0Hui Xiao1Lingyun Zhu2Xue Guo3Wenya Wang4Li Ma5Wei Guo6Jieying He7Yan Wang8Mingming Li9Erping Chen10Jie Lan11Ruixian Nan12Shanxi Institute of Meteorological Science, Taiyuan 030002, ChinaKey Laboratory of Cloud-Precipitation Physics and Severe Storms, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaShanxi Institute of Meteorological Science, Taiyuan 030002, ChinaShanxi Institute of Meteorological Science, Taiyuan 030002, ChinaShanxi Institute of Meteorological Science, Taiyuan 030002, ChinaJinzhong Meteorological Bureau of Shanxi Province, Jinzhong 030600, ChinaShanxi Institute of Meteorological Science, Taiyuan 030002, ChinaShanxi Institute of Meteorological Science, Taiyuan 030002, ChinaShanxi Institute of Meteorological Science, Taiyuan 030002, ChinaShanxi Institute of Meteorological Science, Taiyuan 030002, ChinaShanxi Institute of Meteorological Science, Taiyuan 030002, ChinaShanxi Ecological Environment Monitoring and Emergency Support Center, Taiyuan 030024, ChinaShanxi Ecological Environment Monitoring and Emergency Support Center, Taiyuan 030024, ChinaBased on environmental monitoring data and meteorological observation data of the Chinese major energy province, Shanxi, from 2015 to 2020, using the satellite remote sensing data of Atmospheric Infrared Sounder Instrument (AIRS) and Ozone Monitoring Instrument (OMI) in 2017, we analyzed the characteristics of surface ozone (O<sub>3</sub>) pollution and its correlation with meteorological factors, as well as the vertical distribution of O<sub>3</sub> in typical pollution cities in Shanxi Province. The results showed that surface O<sub>3</sub> became the primary pollutant in Shanxi. Surface O<sub>3</sub> has shown a zonal distribution with a high level in the south and a low level in the north region since 2017. Surface O<sub>3</sub> pollution was severe in 2019, and the maximum daily 8 h running average of O<sub>3</sub> (MDA8 O<sub>3</sub>) decreased, but annual mean O<sub>3</sub> in northern and central regions showed a slow rising trend in 2020. Comprehensive analyses of the influence of meteorological factors on surface O<sub>3</sub> indicated that O<sub>3</sub> pollution in Linfen, Yuncheng and Taiyuan was mainly caused by local photochemical reactions, while that in Jincheng, Xinzhou, Lvliang and Yangquan resulted from regional transports. O<sub>3</sub> volume mixing ratios (VMR) in the middle and lower troposphere generally increased with altitude, peaking at 120 ppbv at approximately 400 hPa. The positive vertical gradient of O<sub>3</sub> in the boundary layer was obvious in Taiyuan in summer and significant in the surface layer in Taiyuan and Linfen during winter and spring, which was associated with greater atmospheric dynamic stability and suppressed vertical mixing. Due to the lack of direct detection of O<sub>3</sub> in the lower troposphere in this region, O<sub>3</sub> vertical distribution retrieved by satellite observation is critical for the study of vertical mixing and transport of local O<sub>3</sub>, as well as its regional transport characteristics.https://www.mdpi.com/2073-4433/13/10/1729ozonesurfaceverticalmeteorologicalShanxi province |
| spellingShingle | Ling Chen Hui Xiao Lingyun Zhu Xue Guo Wenya Wang Li Ma Wei Guo Jieying He Yan Wang Mingming Li Erping Chen Jie Lan Ruixian Nan Characteristics of Ozone Pollution and the Impacts of Related Meteorological Factors in Shanxi Province, China Atmosphere ozone surface vertical meteorological Shanxi province |
| title | Characteristics of Ozone Pollution and the Impacts of Related Meteorological Factors in Shanxi Province, China |
| title_full | Characteristics of Ozone Pollution and the Impacts of Related Meteorological Factors in Shanxi Province, China |
| title_fullStr | Characteristics of Ozone Pollution and the Impacts of Related Meteorological Factors in Shanxi Province, China |
| title_full_unstemmed | Characteristics of Ozone Pollution and the Impacts of Related Meteorological Factors in Shanxi Province, China |
| title_short | Characteristics of Ozone Pollution and the Impacts of Related Meteorological Factors in Shanxi Province, China |
| title_sort | characteristics of ozone pollution and the impacts of related meteorological factors in shanxi province china |
| topic | ozone surface vertical meteorological Shanxi province |
| url | https://www.mdpi.com/2073-4433/13/10/1729 |
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