Characteristics and Weekend Effect of Air Pollution in Eastern Jilin Province
Using the hourly monitoring data of pollutants from 16 automatic atmospheric monitoring stations in eastern Jilin Province from 2015 to 2020, this paper analyzed the temporal and spatial distribution laws of CO, SO<sub>2</sub>, NO<sub>2</sub>, PM<sub>10</sub>, PM&...
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| Format: | Article |
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MDPI AG
2022-04-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/13/5/681 |
| _version_ | 1797501626246758400 |
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| author | Chunsheng Fang Kexin Xue Juan Li Ju Wang |
| author_facet | Chunsheng Fang Kexin Xue Juan Li Ju Wang |
| author_sort | Chunsheng Fang |
| collection | DOAJ |
| description | Using the hourly monitoring data of pollutants from 16 automatic atmospheric monitoring stations in eastern Jilin Province from 2015 to 2020, this paper analyzed the temporal and spatial distribution laws of CO, SO<sub>2</sub>, NO<sub>2</sub>, PM<sub>10</sub>, PM<sub>2.5</sub>, and O<sub>3</sub> in eastern Jilin Province. At the same time, the regional transport pathways of pollutants were analyzed using the hybrid single-particle Lagrangian integrated trajectory (HYSPLIT) model; the potential source contribution function (PSCF) analyzed the potential source area of PM<sub>2.5</sub>. Finally, the “weekend effect” of CO, NO<sub>2</sub>, PM<sub>2.5</sub>, and O<sub>3</sub> was analyzed. The results showed that the six pollutants showed a downward trend year by year. The concentrations of O<sub>3</sub>, PM<sub>10</sub>, and PM<sub>2.5</sub> were higher in northwest Jilin, and the concentrations of SO<sub>2</sub> and CO were higher in southwest Jilin. Except for CO, the seasonal variation of pollutants was pronounced. Except for O<sub>3</sub>, most pollutants had the highest concentration in winter. Hourly variation analysis described that SO<sub>2</sub> and O<sub>3</sub> had only one peak in a day, and the other four pollutants showed “double peak” hourly variation characteristics. The study area was mainly affected by the airflow pathway from northwest and southwest. The weight potential source contribution function (WPSCF) high-value area of PM<sub>2.5</sub> was northwest and southwest. O<sub>3</sub> showed a “negative weekend effect”, and NO<sub>2</sub> and CO showed a “positive weekend effect”. |
| first_indexed | 2024-03-10T03:21:14Z |
| format | Article |
| id | doaj.art-3297e219d8b84006b1d2fe79bb7171d4 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-10T03:21:14Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-3297e219d8b84006b1d2fe79bb7171d42023-11-23T10:01:11ZengMDPI AGAtmosphere2073-44332022-04-0113568110.3390/atmos13050681Characteristics and Weekend Effect of Air Pollution in Eastern Jilin ProvinceChunsheng Fang0Kexin Xue1Juan Li2Ju Wang3College of New Energy and Environment, Jilin University, Changchun 130012, ChinaCollege of New Energy and Environment, Jilin University, Changchun 130012, ChinaCollege of New Energy and Environment, Jilin University, Changchun 130012, ChinaCollege of New Energy and Environment, Jilin University, Changchun 130012, ChinaUsing the hourly monitoring data of pollutants from 16 automatic atmospheric monitoring stations in eastern Jilin Province from 2015 to 2020, this paper analyzed the temporal and spatial distribution laws of CO, SO<sub>2</sub>, NO<sub>2</sub>, PM<sub>10</sub>, PM<sub>2.5</sub>, and O<sub>3</sub> in eastern Jilin Province. At the same time, the regional transport pathways of pollutants were analyzed using the hybrid single-particle Lagrangian integrated trajectory (HYSPLIT) model; the potential source contribution function (PSCF) analyzed the potential source area of PM<sub>2.5</sub>. Finally, the “weekend effect” of CO, NO<sub>2</sub>, PM<sub>2.5</sub>, and O<sub>3</sub> was analyzed. The results showed that the six pollutants showed a downward trend year by year. The concentrations of O<sub>3</sub>, PM<sub>10</sub>, and PM<sub>2.5</sub> were higher in northwest Jilin, and the concentrations of SO<sub>2</sub> and CO were higher in southwest Jilin. Except for CO, the seasonal variation of pollutants was pronounced. Except for O<sub>3</sub>, most pollutants had the highest concentration in winter. Hourly variation analysis described that SO<sub>2</sub> and O<sub>3</sub> had only one peak in a day, and the other four pollutants showed “double peak” hourly variation characteristics. The study area was mainly affected by the airflow pathway from northwest and southwest. The weight potential source contribution function (WPSCF) high-value area of PM<sub>2.5</sub> was northwest and southwest. O<sub>3</sub> showed a “negative weekend effect”, and NO<sub>2</sub> and CO showed a “positive weekend effect”.https://www.mdpi.com/2073-4433/13/5/681temporal and spatial distributionair pollutionbackward trajectoryweekend effect |
| spellingShingle | Chunsheng Fang Kexin Xue Juan Li Ju Wang Characteristics and Weekend Effect of Air Pollution in Eastern Jilin Province Atmosphere temporal and spatial distribution air pollution backward trajectory weekend effect |
| title | Characteristics and Weekend Effect of Air Pollution in Eastern Jilin Province |
| title_full | Characteristics and Weekend Effect of Air Pollution in Eastern Jilin Province |
| title_fullStr | Characteristics and Weekend Effect of Air Pollution in Eastern Jilin Province |
| title_full_unstemmed | Characteristics and Weekend Effect of Air Pollution in Eastern Jilin Province |
| title_short | Characteristics and Weekend Effect of Air Pollution in Eastern Jilin Province |
| title_sort | characteristics and weekend effect of air pollution in eastern jilin province |
| topic | temporal and spatial distribution air pollution backward trajectory weekend effect |
| url | https://www.mdpi.com/2073-4433/13/5/681 |
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