Studying the Regional Transmission of Air Pollution Based on Spatiotemporal Multivariable Data
Imported air pollution has a significant impact on urban air quality. Relevant studies have shown that many urban air pollution events are not resourced by local emissions but are imported by air pollution from surrounding areas transported across regions. The prevention and control of air pollution...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-09-01
|
| Series: | Atmosphere |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4433/14/9/1438 |
| _version_ | 1827727236457824256 |
|---|---|
| author | Xi Lu Yong Xue Botao He Xingxing Jiang Shuhui Wu Xiangkai Wang |
| author_facet | Xi Lu Yong Xue Botao He Xingxing Jiang Shuhui Wu Xiangkai Wang |
| author_sort | Xi Lu |
| collection | DOAJ |
| description | Imported air pollution has a significant impact on urban air quality. Relevant studies have shown that many urban air pollution events are not resourced by local emissions but are imported by air pollution from surrounding areas transported across regions. The prevention and control of air pollution is very necessary. However, the existing supervision of urban air quality mostly relies on ground monitoring stations, which are extremely limited in time and space, and cannot satisfy continuous time-space air pollution research. Therefore, aiming at the problem of urban air pollution control, this paper used MERRA-2 reanalysis data and ground monitoring data to establish a “Time-Longitude-Latitude” three-dimensional pollution curve, and then a genetic algorithm was used to optimize its fitting. This study finally reconstructed the imported air pollution transmission route. This paper takes an air pollution event that occurred in Xuzhou City, China, on 12 January 2020, as an example. Through the analysis of aerosol optical depth (AOD), particulate matter (PM), wind speed, and other factors, we found the source, transmission route, and impact time of this pollution. We have verified the correctness and accuracy of the reconstructed contamination transport paths. It is proved that the method is universal and it can quickly and accurately restore the air pollution transmission route and identify the urban imported air pollution transmission entrance. This method will also provide strong data support for the division of responsibilities of environmental protection departments in various regions for severe air pollution transmission events and provide effective governance ideas for the prevention and control of imported air pollution in recipient cities. |
| first_indexed | 2024-03-10T23:03:42Z |
| format | Article |
| id | doaj.art-98d5d6bb8f75412b93dc89118fe7637d |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-10T23:03:42Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-98d5d6bb8f75412b93dc89118fe7637d2023-11-19T09:31:17ZengMDPI AGAtmosphere2073-44332023-09-01149143810.3390/atmos14091438Studying the Regional Transmission of Air Pollution Based on Spatiotemporal Multivariable DataXi Lu0Yong Xue1Botao He2Xingxing Jiang3Shuhui Wu4Xiangkai Wang5School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaImported air pollution has a significant impact on urban air quality. Relevant studies have shown that many urban air pollution events are not resourced by local emissions but are imported by air pollution from surrounding areas transported across regions. The prevention and control of air pollution is very necessary. However, the existing supervision of urban air quality mostly relies on ground monitoring stations, which are extremely limited in time and space, and cannot satisfy continuous time-space air pollution research. Therefore, aiming at the problem of urban air pollution control, this paper used MERRA-2 reanalysis data and ground monitoring data to establish a “Time-Longitude-Latitude” three-dimensional pollution curve, and then a genetic algorithm was used to optimize its fitting. This study finally reconstructed the imported air pollution transmission route. This paper takes an air pollution event that occurred in Xuzhou City, China, on 12 January 2020, as an example. Through the analysis of aerosol optical depth (AOD), particulate matter (PM), wind speed, and other factors, we found the source, transmission route, and impact time of this pollution. We have verified the correctness and accuracy of the reconstructed contamination transport paths. It is proved that the method is universal and it can quickly and accurately restore the air pollution transmission route and identify the urban imported air pollution transmission entrance. This method will also provide strong data support for the division of responsibilities of environmental protection departments in various regions for severe air pollution transmission events and provide effective governance ideas for the prevention and control of imported air pollution in recipient cities.https://www.mdpi.com/2073-4433/14/9/1438urban imported air pollutionregional transmissiontransmission routespatiotemporal multivariablethree-dimensional pollution curve |
| spellingShingle | Xi Lu Yong Xue Botao He Xingxing Jiang Shuhui Wu Xiangkai Wang Studying the Regional Transmission of Air Pollution Based on Spatiotemporal Multivariable Data Atmosphere urban imported air pollution regional transmission transmission route spatiotemporal multivariable three-dimensional pollution curve |
| title | Studying the Regional Transmission of Air Pollution Based on Spatiotemporal Multivariable Data |
| title_full | Studying the Regional Transmission of Air Pollution Based on Spatiotemporal Multivariable Data |
| title_fullStr | Studying the Regional Transmission of Air Pollution Based on Spatiotemporal Multivariable Data |
| title_full_unstemmed | Studying the Regional Transmission of Air Pollution Based on Spatiotemporal Multivariable Data |
| title_short | Studying the Regional Transmission of Air Pollution Based on Spatiotemporal Multivariable Data |
| title_sort | studying the regional transmission of air pollution based on spatiotemporal multivariable data |
| topic | urban imported air pollution regional transmission transmission route spatiotemporal multivariable three-dimensional pollution curve |
| url | https://www.mdpi.com/2073-4433/14/9/1438 |
| work_keys_str_mv | AT xilu studyingtheregionaltransmissionofairpollutionbasedonspatiotemporalmultivariabledata AT yongxue studyingtheregionaltransmissionofairpollutionbasedonspatiotemporalmultivariabledata AT botaohe studyingtheregionaltransmissionofairpollutionbasedonspatiotemporalmultivariabledata AT xingxingjiang studyingtheregionaltransmissionofairpollutionbasedonspatiotemporalmultivariabledata AT shuhuiwu studyingtheregionaltransmissionofairpollutionbasedonspatiotemporalmultivariabledata AT xiangkaiwang studyingtheregionaltransmissionofairpollutionbasedonspatiotemporalmultivariabledata |