Constraining Anthropogenic Emission Sources from Tropomi: A Case Study in Northern China

The TROPOspheric Monitoring Instrument (TROPOMI) significantly improved the quality of air pollution monitoring. The comparison against other data sources showed acceptable results and good correlation. However, highly polluted areas remain the reason for large uncertainties. In our study, we compared TROPOMI NO 2 , CO, HCHO, and SO 2 data against ground-level measurements from Ukrainian monitoring sites, which could be considered rather unusual due to their close location to large anthropogenic emission sources. These sites were established in the former USSR to reflect the maximal air pollution levels. TROPOMI detected all cities with huge anthropogenic emissions in 2019-2020 and qualitatively reflected air pollution in Ukraine. However, direct comparison against individual monitoring sites showed mainly insignificant correlation, which was not much improved with cloudiness filtering, spatial averaging, and considering boundary layer height. We show that on an hour-to-daily scale, differences appear when remote sensing at a particular time cannot catch the elevated pollution levels in the boundary layer after air mass transportation. On a seasonal scale, the correlation decreases because of the differences in seasonality between near-surface and column pollutants' content. We discuss that the relationship between TROPOMI and ground-level measurements depends on the season, the continuance of industrial emissions, and the features of individual emission sources.

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Comparison of TROPOMI NO₂, CO, HCHO, and SO₂ data against ground‐level measurements in close proximity to large anthropogenic emission sources in the example of Ukraine

Savenets

Dvoretska

Nadtochii

et al. 2022

Meteorological Applications

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Are aerosols on the leaves of apricot trees (Prunus armeniaca) signalizing the activity of a hidden paleo-supervolcano in a steppe?

Glinyanova

Fomichev

Asanova

2021

Environ Sci Pollut Res

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Constraining Anthropogenic Emission Sources from Tropomi: A Case Study in Northern China

Cited by 2 publications

References 3 publications

Comparison of TROPOMI NO₂, CO, HCHO, and SO₂ data against ground‐level measurements in close proximity to large anthropogenic emission sources in the example of Ukraine

Comparison of TROPOMI NO₂, CO, HCHO, and SO₂ data against ground‐level measurements in close proximity to large anthropogenic emission sources in the example of Ukraine

Are aerosols on the leaves of apricot trees (Prunus armeniaca) signalizing the activity of a hidden paleo-supervolcano in a steppe?

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Constraining Anthropogenic Emission Sources from Tropomi: A Case Study in Northern China

Cited by 2 publications

References 3 publications

Comparison of TROPOMI NO2, CO, HCHO, and SO2 data against ground‐level measurements in close proximity to large anthropogenic emission sources in the example of Ukraine

Comparison of TROPOMI NO2, CO, HCHO, and SO2 data against ground‐level measurements in close proximity to large anthropogenic emission sources in the example of Ukraine

Are aerosols on the leaves of apricot trees (Prunus armeniaca) signalizing the activity of a hidden paleo-supervolcano in a steppe?

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Comparison of TROPOMI NO₂, CO, HCHO, and SO₂ data against ground‐level measurements in close proximity to large anthropogenic emission sources in the example of Ukraine

Comparison of TROPOMI NO₂, CO, HCHO, and SO₂ data against ground‐level measurements in close proximity to large anthropogenic emission sources in the example of Ukraine