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Air Quality in Two Northern Greek Cities Revealed by Their Tropospheric $NO_{2}$ Levels
| Content Provider | MDPI |
|---|---|
| Author | Koukouli, Maria-Elissavet Pseftogkas, Andreas Karagkiozidis, Dimitris Skoulidou, Ioanna Drosoglou, Theano Balis, Dimitrios Bais, Alkiviadis Melas, Dimitrios Hatzianastassiou, Nikos |
| Copyright Year | 2022 |
| Description | In this article, we aim to show the capabilities, benefits, as well as restrictions, of three different air quality-related information sources, namely the Sentinel-5Precursor TROPOspheric Monitoring Instrument (TROPOMI) space-born observations, the Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) ground-based measurements and the LOng Term Ozone Simulation-EURopean Operational Smog (LOTOS-EUROS) chemical transport modelling system simulations. The tropospheric $NO_{2}$ concentrations between 2018 and 2021 are discussed as air quality indicators for the Greek cities of Thessaloniki and Ioannina. Each dataset was analysed in an autonomous manner and, without disregarding their differences, the common air quality picture that they provide is revealed. All three systems report a clear seasonal pattern, with high $NO_{2}$ levels during wintertime and lower $NO_{2}$ levels during summertime, reflecting the importance of photochemistry in the abatement of this air pollutant. The spatial patterns of the $NO_{2}$ load, obtained by both space-born observations and model simulations, show the undeniable variability of the $NO_{2}$ load within the urban agglomerations. Furthermore, a clear diurnal variability is clearly identified by the ground-based measurements, as well as a Sunday minimum $NO_{2}$ load effect, alongside the rest of the sources of air quality information. Within their individual strengths and limitations, the space-borne observations, the ground-based measurements, and the chemical transport modelling simulations demonstrate unequivocally their ability to report on the air quality situation in urban locations. |
| Starting Page | 840 |
| e-ISSN | 20734433 |
| DOI | 10.3390/atmos13050840 |
| Journal | Atmosphere |
| Issue Number | 5 |
| Volume Number | 13 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-05-20 |
| Access Restriction | Open |
| Subject Keyword | Atmosphere Remote Sensing Air Quality Nox Emissions S5p/tropomi Max-doas Lotos-euros |
| Content Type | Text |
| Resource Type | Article |
