Patterns and Influencing Factors of Air Pollution at a Southeast Chinese City
Ambient air pollution is a pressing global environmental problem. To identify the source of air pollution and manage air quality in urban areas, the patterns of air pollutants under different traffic conditions and the impact of weather on air quality were explored in Hangzhou, China, a city experie...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/14/9/1394 |
| _version_ | 1797581334646882304 |
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| author | Le Jian Xiangjing Gao Yun Zhao Meibian Zhang Qing Chen Hua Zou Mingluan Xing |
| author_facet | Le Jian Xiangjing Gao Yun Zhao Meibian Zhang Qing Chen Hua Zou Mingluan Xing |
| author_sort | Le Jian |
| collection | DOAJ |
| description | Ambient air pollution is a pressing global environmental problem. To identify the source of air pollution and manage air quality in urban areas, the patterns of air pollutants under different traffic conditions and the impact of weather on air quality were explored in Hangzhou, China, a city experiencing rapid growth in vehicles. Data for particulate matters (PM<sub>10</sub>, PM<sub>2.5</sub>, PM<sub>1.0</sub>, and UFP), gaseous pollutants (CO, SO<sub>2</sub>, O<sub>3</sub>, and NO), and weather parameters (temperature, relative humidity, wind speed, and air pressure) were collected at two venues with different traffic conditions. An exploratory factor analysis was employed to identify the main factors contributing to air quality. The results showed that PMs, particularly PM<sub>1.0</sub> and UFP, significantly contributed to air quality in monitoring venues, especially at Venue 2. As the leading factor, PMs contributed 40.85%, while gaseous pollutants and traffic (particularly fuel type) contributed 30.46% to air quality. The traffic was an independent contributor at Venue 2. Temperature and wind speed had negative influences on air pollutants. The outcomes of the study suggest that exhaust emissions from vehicles, particularly PM<sub>1.0</sub> and UFP from heavy-duty vehicles, contributed significantly to ambient air quality. The contribution of meteorological factors to air quality varied at different venues and should not be ignored. |
| first_indexed | 2024-03-10T23:03:58Z |
| format | Article |
| id | doaj.art-d7165f4141e34981b01aa47ccd63e275 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-10T23:03:58Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-d7165f4141e34981b01aa47ccd63e2752023-11-19T09:30:41ZengMDPI AGAtmosphere2073-44332023-09-01149139410.3390/atmos14091394Patterns and Influencing Factors of Air Pollution at a Southeast Chinese CityLe Jian0Xiangjing Gao1Yun Zhao2Meibian Zhang3Qing Chen4Hua Zou5Mingluan Xing6School of Population Health, Curtin Health Innovation Research Institute, Curtin University of Technology, Perth 6845, AustraliaZhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, ChinaSchool of Population Health, Curtin Health Innovation Research Institute, Curtin University of Technology, Perth 6845, AustraliaNational Institute of Occupational Health and Poison Control, Beijing 100050, ChinaZhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, ChinaZhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, ChinaZhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, ChinaAmbient air pollution is a pressing global environmental problem. To identify the source of air pollution and manage air quality in urban areas, the patterns of air pollutants under different traffic conditions and the impact of weather on air quality were explored in Hangzhou, China, a city experiencing rapid growth in vehicles. Data for particulate matters (PM<sub>10</sub>, PM<sub>2.5</sub>, PM<sub>1.0</sub>, and UFP), gaseous pollutants (CO, SO<sub>2</sub>, O<sub>3</sub>, and NO), and weather parameters (temperature, relative humidity, wind speed, and air pressure) were collected at two venues with different traffic conditions. An exploratory factor analysis was employed to identify the main factors contributing to air quality. The results showed that PMs, particularly PM<sub>1.0</sub> and UFP, significantly contributed to air quality in monitoring venues, especially at Venue 2. As the leading factor, PMs contributed 40.85%, while gaseous pollutants and traffic (particularly fuel type) contributed 30.46% to air quality. The traffic was an independent contributor at Venue 2. Temperature and wind speed had negative influences on air pollutants. The outcomes of the study suggest that exhaust emissions from vehicles, particularly PM<sub>1.0</sub> and UFP from heavy-duty vehicles, contributed significantly to ambient air quality. The contribution of meteorological factors to air quality varied at different venues and should not be ignored.https://www.mdpi.com/2073-4433/14/9/1394air qualityparticulate mattermeteorological factorsfactor analysisChina |
| spellingShingle | Le Jian Xiangjing Gao Yun Zhao Meibian Zhang Qing Chen Hua Zou Mingluan Xing Patterns and Influencing Factors of Air Pollution at a Southeast Chinese City Atmosphere air quality particulate matter meteorological factors factor analysis China |
| title | Patterns and Influencing Factors of Air Pollution at a Southeast Chinese City |
| title_full | Patterns and Influencing Factors of Air Pollution at a Southeast Chinese City |
| title_fullStr | Patterns and Influencing Factors of Air Pollution at a Southeast Chinese City |
| title_full_unstemmed | Patterns and Influencing Factors of Air Pollution at a Southeast Chinese City |
| title_short | Patterns and Influencing Factors of Air Pollution at a Southeast Chinese City |
| title_sort | patterns and influencing factors of air pollution at a southeast chinese city |
| topic | air quality particulate matter meteorological factors factor analysis China |
| url | https://www.mdpi.com/2073-4433/14/9/1394 |
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