Application of Satellite Observations and Air Quality Modelling to Validation of NOx Anthropogenic EMEP Emissions Inventory over Central Europe
One of the most important minor species in the atmosphere is nitrogen dioxide (NO<sub>2</sub>). The primary objective of the presented research was to propose a method to adjust emission inventories (emission fluxes) using tropospheric NO<sub>2</sub> columns observed by OMI a...
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| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
MDPI AG
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/c1e7e9c989c243cead4ceea1b315b411 |
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| Sumario: | One of the most important minor species in the atmosphere is nitrogen dioxide (NO<sub>2</sub>). The primary objective of the presented research was to propose a method to adjust emission inventories (emission fluxes) using tropospheric NO<sub>2</sub> columns observed by OMI and SCIAMACHY instruments. Modified emission fluxes were used in a chemical weather model GEM-AQ. The GEM-AQ model results were compared with the monthly averaged satellite-derived column amount of NO<sub>2</sub> over Europe for the 2008–2010 observing period. It was shown that the observed and modelled spatial distribution of high values of the NO<sub>2</sub> column is highly correlated with the distribution of major anthropogenic sources in the modelling domain. The presented findings highlight the importance of the anthropogenic sources in the overall budget of NO<sub>2</sub> in the polluted troposphere. Regions for which modelling results showed underestimation or overestimation compared with observations were constant for the whole analysis period. Thus, the NO<sub>2</sub> column observations could be used for correcting emission estimates. The proposed emission correction method is based on the differences in modelled and satellite-derived NO<sub>2</sub> columns. Modelling was done for 2011 using the original and adjusted emission inventories and compared with observed NO<sub>2</sub> columns. The analysis was extended to compare modelling results with surface NO<sub>2</sub> observations from selected air quality stations in Poland. A significant improvement in modelling results was obtained over regions with large overestimations in the control run for which the original emission fluxes were used. |
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