| Issue |
BIO Web Conf.
Volume 115, 2024
2nd Edition of the International Conference on “Natural Resources and Sustainable Development” (RENA23)
|
|
|---|---|---|
| Article Number | 01004 | |
| Number of page(s) | 8 | |
| Section | Satellite Remote Sensing for an Effective Natural Resource Management | |
| DOI | https://doi.org/10.1051/bioconf/202411501004 | |
| Published online | 25 June 2024 | |
Assessment of tropospheric nitrogen dioxide (NO2) levels on the COVID-19 pandemic in Morocco
1 Laboratory of Natural Resources and Environment (RNE), Polydisciplinary Faculty of Taza, University of Sidi Mohammed Ben Abdellah,
2 National School of Architecture, Fez, Morocco
3 Functional Ecology and Environment Engineering Laboratory, Faculty of Sciences and Techniques, University of Sidi Mohammed Ben Abdellah, Fez, Morocco
* Corresponding author: mourjanemohammed@gmail.com
After being discovered in Wuhan, China towards the end of December, the novel infectious disease with human-to-human transmission (COVID-19) spread around the world and became a pandemic. Globally, there have been over 4 million 600,000 COVID-19 cases reported, and over 300,000 patients have passed away. Many of the pre-existing diseases that are impacted by long-term exposure to air pollution are also those that raise the risk of infection and mortality in individuals with COVID-19. Under the locking conditions, the current study investigates this correlation at the national Moroccan level. TROPOMI data from the Sentinel-5P satellite is utilized to map the distribution of NO2 in the troposphere. According to the findings, three administrative regions with the highest tropospheric NO2 concentrations harbored 60% of the COVID-19 infected cases. When viewed within the global context, these findings suggest that prolonged exposure to this contaminant may play a role in the infection, death, and dissemination of the COVID-19 virus.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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