| Title |
Satellite-Driven monitoring and prediction of atmospheric Nitrogen Dioxide in Lithuania |
| Authors |
Fahim, Mina Adel Shokry ; Sužiedelytė Visockienė, Jūratė |
| DOI |
10.18178/ijesd.2025.16.4.1533 |
| Full Text |
|
| Is Part of |
International journal of environmental science and development.. Singapore : EJournal Publishing. 2025, vol. 16, iss. 4, p. 265-271.. ISSN 2010-0264. eISSN 2972-3698 |
| Keywords [eng] |
satellite monitoring, Nitrogen Dioxide (NO₂), air pollution control, environmental management ; atmospheric monitoring ; geospatial analysis ; air quality assessment ; predictive modelling. |
| Abstract [eng] |
Challenges in air pollution control and environmental management continue to evolve, significantly impacting public health and ecosystems. This study estimates surface Nitrogen Dioxide (NO₂) concentrations in Lithuania using an integrated framework. It combines Sentinel-5 Precursor satellite (5P) TROPOspheric Monitoring Instrument (TROPOMI) observations of total NO₂ Vertical Column Densities (VCDs) with various meteorological parameters, such as air temperature, wind speed, and direction. Data were collected across thirteen in situ monitoring stations throughout Lithuania, spanning from January 2020 to December 2023. The analysis involved two modelling approaches: Bagged Trees (BT) and Coarse Tree (CT) algorithms. The BT model outperformed the 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 concentration trends, stressing the necessity of continuous monitoring efforts, essential for effective air pollution management. |
| Published |
Singapore : EJournal Publishing |
| Type |
Journal article |
| Language |
English |
| Publication date |
2025 |
| CC license |
|
