Spatiotemporal Variability and Associated Environmental Factors of Tropospheric NO 2 Column Density over North China from TROPOMI Observations, 2019–2023.
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| Title: | Spatiotemporal Variability and Associated Environmental Factors of Tropospheric NO 2 Column Density over North China from TROPOMI Observations, 2019–2023. |
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| Authors: | Li, Li1,2 (AUTHOR), Wang, Yun2,3 (AUTHOR), Zhang, Yang3,4 (AUTHOR), Chen, Dongsheng1,4 (AUTHOR) dschen@bjut.edu.cn |
| Source: | Remote Sensing. Jun2026, Vol. 18 Issue 11, p1758. 22p. |
| Subjects: | Atmospheric nitrogen dioxide, Temperature effect, Weather, Population density, Seasonal temperature variations, Spatiotemporal processes, Air pollution |
| Geographic Terms: | Hebei Sheng (China), North China Plain (China), Henan Sheng (China) |
| Abstract: | Highlights: What are the main findings? High NO2 columns were concentrated in southern Hebei, northern Henan, and central–western Shandong. NO2 showed a significant decreasing trend with obvious seasonality: winter > autumn > spring > summer. What are the implications of the main findings? Temperature emerged as the primary factor associated with NO2 variations, followed by solar radiation, NDVI, precipitation, wind, and population density. These identified environmental factors highlight the importance of implementing season-adjusted and region-specific clean air strategies across North China. With the sustained industrial development, air pollution remains a prominent environmental challenge in North China. As a key atmospheric contaminant, nitrogen dioxide (NO2) is closely associated with significant adverse impacts on both ecological systems and public health. However, existing research regarding the factors related to NO2 column concentration and the comparative strength of these associations remains limited. To address this research gap, this study employs TROPOMI satellite-based NO2 data and six categories of influencing factors (meteorology, population density, vegetation coverage, etc.) to characterize the spatiotemporal patterns and the statistical relationships between NO2 column concentrations and various influencing factors in North China from 2019 to 2023. The results indicate that elevated NO2 column concentrations are primarily concentrated in central North China, including northern Henan, southern Hebei, and central–western Shandong. During 2019–2023, the regional NO2 column concentration displayed an overall decreasing trend, accompanied by distinct seasonal variations: peaking in winter, moderate in autumn, and reaching the minimum in summer. Among the evaluated factors, temperature exhibited the strongest correlation with NO2 variations, followed by surface net solar radiation and Normalized Difference Vegetation Index (NDVI). The relationship between wind and NO2 was found to vary according to direction, speed, and regional topography. In addition, population density showed a prominent positive association with NO2 vertical column density. This study identifies key factors linked to NO2 variability, thereby providing methodological and empirical support for relevant studies in other regions. [ABSTRACT FROM AUTHOR] |
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| Header | DbId: egs DbLabel: Engineering Source An: 194586979 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Spatiotemporal Variability and Associated Environmental Factors of Tropospheric NO 2 Column Density over North China from TROPOMI Observations, 2019–2023. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Li%22">Li, Li</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Yun%22">Wang, Yun</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yang%22">Zhang, Yang</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Dongsheng%22">Chen, Dongsheng</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<i> dschen@bjut.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Jun2026, Vol. 18 Issue 11, p1758. 22p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Atmospheric+nitrogen+dioxide%22">Atmospheric nitrogen dioxide</searchLink><br /><searchLink fieldCode="DE" term="%22Temperature+effect%22">Temperature effect</searchLink><br /><searchLink fieldCode="DE" term="%22Weather%22">Weather</searchLink><br /><searchLink fieldCode="DE" term="%22Population+density%22">Population density</searchLink><br /><searchLink fieldCode="DE" term="%22Seasonal+temperature+variations%22">Seasonal temperature variations</searchLink><br /><searchLink fieldCode="DE" term="%22Spatiotemporal+processes%22">Spatiotemporal processes</searchLink><br /><searchLink fieldCode="DE" term="%22Air+pollution%22">Air pollution</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Hebei+Sheng+%28China%29%22">Hebei Sheng (China)</searchLink><br /><searchLink fieldCode="DE" term="%22North+China+Plain+%28China%29%22">North China Plain (China)</searchLink><br /><searchLink fieldCode="DE" term="%22Henan+Sheng+%28China%29%22">Henan Sheng (China)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Highlights: What are the main findings? High NO2 columns were concentrated in southern Hebei, northern Henan, and central–western Shandong. NO2 showed a significant decreasing trend with obvious seasonality: winter > autumn > spring > summer. What are the implications of the main findings? Temperature emerged as the primary factor associated with NO2 variations, followed by solar radiation, NDVI, precipitation, wind, and population density. These identified environmental factors highlight the importance of implementing season-adjusted and region-specific clean air strategies across North China. With the sustained industrial development, air pollution remains a prominent environmental challenge in North China. As a key atmospheric contaminant, nitrogen dioxide (NO2) is closely associated with significant adverse impacts on both ecological systems and public health. However, existing research regarding the factors related to NO2 column concentration and the comparative strength of these associations remains limited. To address this research gap, this study employs TROPOMI satellite-based NO2 data and six categories of influencing factors (meteorology, population density, vegetation coverage, etc.) to characterize the spatiotemporal patterns and the statistical relationships between NO2 column concentrations and various influencing factors in North China from 2019 to 2023. The results indicate that elevated NO2 column concentrations are primarily concentrated in central North China, including northern Henan, southern Hebei, and central–western Shandong. During 2019–2023, the regional NO2 column concentration displayed an overall decreasing trend, accompanied by distinct seasonal variations: peaking in winter, moderate in autumn, and reaching the minimum in summer. Among the evaluated factors, temperature exhibited the strongest correlation with NO2 variations, followed by surface net solar radiation and Normalized Difference Vegetation Index (NDVI). The relationship between wind and NO2 was found to vary according to direction, speed, and regional topography. In addition, population density showed a prominent positive association with NO2 vertical column density. This study identifies key factors linked to NO2 variability, thereby providing methodological and empirical support for relevant studies in other regions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs18111758 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 1758 Subjects: – SubjectFull: Atmospheric nitrogen dioxide Type: general – SubjectFull: Temperature effect Type: general – SubjectFull: Weather Type: general – SubjectFull: Population density Type: general – SubjectFull: Seasonal temperature variations Type: general – SubjectFull: Spatiotemporal processes Type: general – SubjectFull: Air pollution Type: general – SubjectFull: Hebei Sheng (China) Type: general – SubjectFull: North China Plain (China) Type: general – SubjectFull: Henan Sheng (China) Type: general Titles: – TitleFull: Spatiotemporal Variability and Associated Environmental Factors of Tropospheric NO 2 Column Density over North China from TROPOMI Observations, 2019–2023. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Li – PersonEntity: Name: NameFull: Wang, Yun – PersonEntity: Name: NameFull: Zhang, Yang – PersonEntity: Name: NameFull: Chen, Dongsheng IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 18 – Type: issue Value: 11 Titles: – TitleFull: Remote Sensing Type: main |
| ResultId | 1 |
