Crop residue burning in China (2019–2021): Spatiotemporal patterns, environmental impact, and emission dynamics
Crop residue burning (CRB) is a major contributor to air pollution in China. Current fire detection methods, however, are limited by either temporal resolution or accuracy, hindering the analysis of CRB's diurnal characteristics. Here we explore the diurnal spatiotemporal patterns and environme...
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| Language: | English |
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Elsevier
2024-09-01
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| Series: | Environmental Science and Ecotechnology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666498424000085 |
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| author | Qiancheng Lv Zeyu Yang Ziyue Chen Manchun Li Bingbo Gao Jing Yang Xiao Chen Bing Xu |
| author_facet | Qiancheng Lv Zeyu Yang Ziyue Chen Manchun Li Bingbo Gao Jing Yang Xiao Chen Bing Xu |
| author_sort | Qiancheng Lv |
| collection | DOAJ |
| description | Crop residue burning (CRB) is a major contributor to air pollution in China. Current fire detection methods, however, are limited by either temporal resolution or accuracy, hindering the analysis of CRB's diurnal characteristics. Here we explore the diurnal spatiotemporal patterns and environmental impacts of CRB in China from 2019 to 2021 using the recently released NSMC-Himawari-8 hourly fire product. Our analysis identifies a decreasing directionality in CRB distribution in the Northeast and a notable southward shift of the CRB center, especially in winter, averaging an annual southward movement of 7.5°. Additionally, we observe a pronounced skewed distribution in daily CRB, predominantly between 17:00 and 20:00. Notably, nighttime CRB in China for the years 2019, 2020, and 2021 accounted for 51.9%, 48.5%, and 38.0% respectively, underscoring its significant environmental impact. The study further quantifies the hourly emissions from CRB in China over this period, with total emissions of CO, PM10, and PM2.5 amounting to 12,236, 2,530, and 2,258 Gg, respectively. Our findings also reveal variable lag effects of CRB on regional air quality and pollutants across different seasons, with the strongest impacts in spring and more immediate effects in late autumn. This research provides valuable insights for the regulation and control of diurnal CRB before and after large-scale agricultural activities in China, as well as the associated haze and other pollution weather conditions it causes. |
| format | Article |
| id | doaj-art-bc653f23dc9542e0ba06060503310abc |
| institution | OA Journals |
| issn | 2666-4984 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Environmental Science and Ecotechnology |
| spelling | doaj-art-bc653f23dc9542e0ba06060503310abc2025-08-20T01:54:45ZengElsevierEnvironmental Science and Ecotechnology2666-49842024-09-012110039410.1016/j.ese.2024.100394Crop residue burning in China (2019–2021): Spatiotemporal patterns, environmental impact, and emission dynamicsQiancheng Lv0Zeyu Yang1Ziyue Chen2Manchun Li3Bingbo Gao4Jing Yang5Xiao Chen6Bing Xu7Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, ChinaFaculty of Geographical Science, Beijing Normal University, Beijing, 100875, ChinaFaculty of Geographical Science, Beijing Normal University, Beijing, 100875, China; Corresponding author.School of Geography and Ocean Science, Nanjing University, Nanjing, 210023, ChinaCollege of Land Science and Technology, China Agriculture University, Beijing, 100083, ChinaFaculty of Geographical Science, Beijing Normal University, Beijing, 100875, ChinaFaculty of Geographical Science, Beijing Normal University, Beijing, 100875, ChinaDepartment of Earth System Science, Tsinghua University, Beijing, 100084, China; Corresponding author.Crop residue burning (CRB) is a major contributor to air pollution in China. Current fire detection methods, however, are limited by either temporal resolution or accuracy, hindering the analysis of CRB's diurnal characteristics. Here we explore the diurnal spatiotemporal patterns and environmental impacts of CRB in China from 2019 to 2021 using the recently released NSMC-Himawari-8 hourly fire product. Our analysis identifies a decreasing directionality in CRB distribution in the Northeast and a notable southward shift of the CRB center, especially in winter, averaging an annual southward movement of 7.5°. Additionally, we observe a pronounced skewed distribution in daily CRB, predominantly between 17:00 and 20:00. Notably, nighttime CRB in China for the years 2019, 2020, and 2021 accounted for 51.9%, 48.5%, and 38.0% respectively, underscoring its significant environmental impact. The study further quantifies the hourly emissions from CRB in China over this period, with total emissions of CO, PM10, and PM2.5 amounting to 12,236, 2,530, and 2,258 Gg, respectively. Our findings also reveal variable lag effects of CRB on regional air quality and pollutants across different seasons, with the strongest impacts in spring and more immediate effects in late autumn. This research provides valuable insights for the regulation and control of diurnal CRB before and after large-scale agricultural activities in China, as well as the associated haze and other pollution weather conditions it causes.http://www.sciencedirect.com/science/article/pii/S2666498424000085Crop residue burningAtmospheric pollutantsNSMC-Himawari-8Lagging effects |
| spellingShingle | Qiancheng Lv Zeyu Yang Ziyue Chen Manchun Li Bingbo Gao Jing Yang Xiao Chen Bing Xu Crop residue burning in China (2019–2021): Spatiotemporal patterns, environmental impact, and emission dynamics Environmental Science and Ecotechnology Crop residue burning Atmospheric pollutants NSMC-Himawari-8 Lagging effects |
| title | Crop residue burning in China (2019–2021): Spatiotemporal patterns, environmental impact, and emission dynamics |
| title_full | Crop residue burning in China (2019–2021): Spatiotemporal patterns, environmental impact, and emission dynamics |
| title_fullStr | Crop residue burning in China (2019–2021): Spatiotemporal patterns, environmental impact, and emission dynamics |
| title_full_unstemmed | Crop residue burning in China (2019–2021): Spatiotemporal patterns, environmental impact, and emission dynamics |
| title_short | Crop residue burning in China (2019–2021): Spatiotemporal patterns, environmental impact, and emission dynamics |
| title_sort | crop residue burning in china 2019 2021 spatiotemporal patterns environmental impact and emission dynamics |
| topic | Crop residue burning Atmospheric pollutants NSMC-Himawari-8 Lagging effects |
| url | http://www.sciencedirect.com/science/article/pii/S2666498424000085 |
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