Spatial Characteristics and Influence of Topography and Synoptic Systems on PM2.5 in the Eastern Monsoon Region of China
Abstract Based on the PM2.5 concentration in the autumn and winter of 2015–2019, the characteristics of urban air pollution in the eastern monsoon region of China were discussed. The spatial distribution and interregional influence of fine particle pollution under different synoptic weather and topo...
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2023-06-01
|
| Series: | Aerosol and Air Quality Research |
| Subjects: | |
| Online Access: | https://doi.org/10.4209/aaqr.220393 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823862784516947968 |
|---|---|
| author | Shengli Zhu Zhaowen Wang Kai Qu Jun Xu Ji Zhang Haiyi Yang Wenxin Wang Xiao Sui Min Wei Houfeng Liu |
| author_facet | Shengli Zhu Zhaowen Wang Kai Qu Jun Xu Ji Zhang Haiyi Yang Wenxin Wang Xiao Sui Min Wei Houfeng Liu |
| author_sort | Shengli Zhu |
| collection | DOAJ |
| description | Abstract Based on the PM2.5 concentration in the autumn and winter of 2015–2019, the characteristics of urban air pollution in the eastern monsoon region of China were discussed. The spatial distribution and interregional influence of fine particle pollution under different synoptic weather and topography in the eastern monsoon region of China were illustrated. According to synoptic systems, regional PM2.5 pollution episodes were classified into three categories, including Uniform Pressure field (UP, 60.00%), Pre-High Pressure (PreHP, 30.91%) and Inverted-Trough (IT, 9.09%). The K-Means algorithm combined with the HYSPLIT backward trajectory clustering analysis indicated four clusters under UP controlled, and under weak pressure field was responsible for the elevation of PM2.5 concentration, where the Beijing-Tianjin-Hebei and its surrounding areas were the most polluted region. For PreHP, four clusters eased after cold front. For IT, three clusters were ascertained, and the severe PM2.5 pollution area was in the central and southern of the North China Plain. This study provided a scientific basis for the joint prevention of PM2.5 pollution based on topographic and meteorological characteristics in Eastern China. |
| format | Article |
| id | doaj-art-001f55139d5b48529952879dae6b418d |
| institution | Kabale University |
| issn | 1680-8584 2071-1409 |
| language | English |
| publishDate | 2023-06-01 |
| publisher | Springer |
| record_format | Article |
| series | Aerosol and Air Quality Research |
| spelling | doaj-art-001f55139d5b48529952879dae6b418d2025-02-09T12:22:57ZengSpringerAerosol and Air Quality Research1680-85842071-14092023-06-01231011810.4209/aaqr.220393Spatial Characteristics and Influence of Topography and Synoptic Systems on PM2.5 in the Eastern Monsoon Region of ChinaShengli Zhu0Zhaowen Wang1Kai Qu2Jun Xu3Ji Zhang4Haiyi Yang5Wenxin Wang6Xiao Sui7Min Wei8Houfeng Liu9College of Geography and Environment, Shandong Normal UniversityCollege of Geography and Environment, Shandong Normal UniversityShandong Province Environment Information and Monitoring CenterState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental SciencesCollege of Geography and Environment, Shandong Normal UniversityUniversity of Chinese Academy of SciencesCollege of Geography and Environment, Shandong Normal UniversityCollege of Geography and Environment, Shandong Normal UniversityCollege of Geography and Environment, Shandong Normal UniversityCollege of Geography and Environment, Shandong Normal UniversityAbstract Based on the PM2.5 concentration in the autumn and winter of 2015–2019, the characteristics of urban air pollution in the eastern monsoon region of China were discussed. The spatial distribution and interregional influence of fine particle pollution under different synoptic weather and topography in the eastern monsoon region of China were illustrated. According to synoptic systems, regional PM2.5 pollution episodes were classified into three categories, including Uniform Pressure field (UP, 60.00%), Pre-High Pressure (PreHP, 30.91%) and Inverted-Trough (IT, 9.09%). The K-Means algorithm combined with the HYSPLIT backward trajectory clustering analysis indicated four clusters under UP controlled, and under weak pressure field was responsible for the elevation of PM2.5 concentration, where the Beijing-Tianjin-Hebei and its surrounding areas were the most polluted region. For PreHP, four clusters eased after cold front. For IT, three clusters were ascertained, and the severe PM2.5 pollution area was in the central and southern of the North China Plain. This study provided a scientific basis for the joint prevention of PM2.5 pollution based on topographic and meteorological characteristics in Eastern China.https://doi.org/10.4209/aaqr.220393Eastern monsoon regionPM2.5Synoptic systemsTopographic effect |
| spellingShingle | Shengli Zhu Zhaowen Wang Kai Qu Jun Xu Ji Zhang Haiyi Yang Wenxin Wang Xiao Sui Min Wei Houfeng Liu Spatial Characteristics and Influence of Topography and Synoptic Systems on PM2.5 in the Eastern Monsoon Region of China Aerosol and Air Quality Research Eastern monsoon region PM2.5 Synoptic systems Topographic effect |
| title | Spatial Characteristics and Influence of Topography and Synoptic Systems on PM2.5 in the Eastern Monsoon Region of China |
| title_full | Spatial Characteristics and Influence of Topography and Synoptic Systems on PM2.5 in the Eastern Monsoon Region of China |
| title_fullStr | Spatial Characteristics and Influence of Topography and Synoptic Systems on PM2.5 in the Eastern Monsoon Region of China |
| title_full_unstemmed | Spatial Characteristics and Influence of Topography and Synoptic Systems on PM2.5 in the Eastern Monsoon Region of China |
| title_short | Spatial Characteristics and Influence of Topography and Synoptic Systems on PM2.5 in the Eastern Monsoon Region of China |
| title_sort | spatial characteristics and influence of topography and synoptic systems on pm2 5 in the eastern monsoon region of china |
| topic | Eastern monsoon region PM2.5 Synoptic systems Topographic effect |
| url | https://doi.org/10.4209/aaqr.220393 |
| work_keys_str_mv | AT shenglizhu spatialcharacteristicsandinfluenceoftopographyandsynopticsystemsonpm25intheeasternmonsoonregionofchina AT zhaowenwang spatialcharacteristicsandinfluenceoftopographyandsynopticsystemsonpm25intheeasternmonsoonregionofchina AT kaiqu spatialcharacteristicsandinfluenceoftopographyandsynopticsystemsonpm25intheeasternmonsoonregionofchina AT junxu spatialcharacteristicsandinfluenceoftopographyandsynopticsystemsonpm25intheeasternmonsoonregionofchina AT jizhang spatialcharacteristicsandinfluenceoftopographyandsynopticsystemsonpm25intheeasternmonsoonregionofchina AT haiyiyang spatialcharacteristicsandinfluenceoftopographyandsynopticsystemsonpm25intheeasternmonsoonregionofchina AT wenxinwang spatialcharacteristicsandinfluenceoftopographyandsynopticsystemsonpm25intheeasternmonsoonregionofchina AT xiaosui spatialcharacteristicsandinfluenceoftopographyandsynopticsystemsonpm25intheeasternmonsoonregionofchina AT minwei spatialcharacteristicsandinfluenceoftopographyandsynopticsystemsonpm25intheeasternmonsoonregionofchina AT houfengliu spatialcharacteristicsandinfluenceoftopographyandsynopticsystemsonpm25intheeasternmonsoonregionofchina |