doi: 10.18178/ijesd.2025.16.4.1533
Satellite-Driven Monitoring and Prediction of Atmospheric Nitrogen Dioxide in Lithuania
Mina Adel Shokry Fahim*
,
Jūratė Sužiedelytė Visockienė
- Department of Geodesy and Cadastre, Environmental Engineering Faculty, Vilnius Gediminas Technical University, Vilnius, Lithuania
- Manuscript receivedFebruary 23, 2025
- revisedMarch 19, 2025
- acceptedApril 14, 2025
- publishedJuly 14, 2025
Abstract
Challenges in air pollution control andenvironmental management continue to evolve, significantlyimpacting public health and ecosystems. This study estimatessurface Nitrogen Dioxide (NO₂) concentrations in Lithuaniausing an integrated framework. It combines Sentinel-5Precursor satellite (5P) TROPOspheric Monitoring Instrument(TROPOMI) observations of total NO₂ Vertical ColumnDensities (VCDs) with various meteorological parameters, suchas air temperature, wind speed, and direction. Data werecollected across thirteen in situ monitoring stations throughoutLithuania, spanning from January 2020 to December 2023. Theanalysis involved two modelling approaches: Bagged Trees (BT)and Coarse Tree (CT) algorithms. The BT model outperformedthe CT, achieving lower Root Mean Square Error (RMSE)values of 5.12 μg/m³ during validation and 4.90 μg/m³ duringtesting, compared to 5.73 μg/m³ and 5.58 μg/m³ for the CT model,respectively. The integration of VCDs data and predictivemodeling provides valuable indicators for NO₂ concentrationtrends, stressing the necessity of continuous monitoring efforts,essential for effective air pollution management.
Keywords
- satellite monitoring
- Nitrogen Dioxide (NO₂)
- air pollution control
- environmental management
- atmospheric monitoring
- geospatial analysis
- air quality assessment
- predictive modelling
How to Cite
Mina Adel Shokry Fahim and Jūratė Sužiedelytė Visockienė, "Satellite-Driven Monitoring and Prediction of Atmospheric Nitrogen Dioxide in Lithuania," International Journal of Environmental Science and Development, vol. 16, no. 4, pp. 265-271, 2025. https://doi.org/10.18178/ijesd.2025.16.4.1533
Copyright & License
Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).