Monitoring and evaluation of tropospheric NO2 columns density and Ultraviolet Aerosol Index (UVAI) over Iraq during the Outbreak of COVID-19 Using Remote Sensing and GIS
2021 (English)In: Indian Journal of Ecology, ISSN 0304-5250, Vol. 48, no 2, p. 607-614Article in journal (Refereed) Published
Abstract [en]
Since the discovery of COVID 19 coronavirus in January 2020 and the researchers everywhere try to find a reason behind spreading of coronavirus over the world. The important question here is, does air pollution can be a good medium to increase the infection rate and spread of COVID-19. In present work, ESA remote sensing data, specifically, Sentinel 5p Level 2 data to study the air pollutants with high spatial-temporal resolution was analyzed. We used the tropospheric NO2 vertical column density, along with UV Aerosol Index (UVAI) were used to investigate the role of changing in the air pollutants on the spread of COVID-19. The continuous decrease in the in tropospheric nitrogen dioxide NO amounts in all cities in Iraq during the lockdown measures. At the same time, the results illustrate a significant increase in 2 UV Aerosol Index in all cities in Iraq. More specifically, the cities that have the highest levels of air pollution are Baghdad and Basra. The maximum declination in NO2 was 43% lower than that from 1-31 January 2020. On the other hand, we found a significantly large increase ratio in UVAI and the largest increase is 239.8 and 221.2% in June and July respectively. In the end, we concluded that the implementation control actions in Iraq have been effectively contributed to reducing the current air pollution situation and increasing the air quality but unfortunately, the effectiveness of the actions didn't help to reduce the spread of the COVID-19 pandemic and decrease the number of cases of coronavirus in Iraq.
Place, publisher, year, edition, pages
Ecological Society of India , 2021. Vol. 48, no 2, p. 607-614
Keywords [en]
COVID-19, GIS 2, NO, Sentinel 5P, UVAI
National Category
Mathematics
Identifiers
URN: urn:nbn:se:mdh:diva-58802Scopus ID: 2-s2.0-85105051930OAI: oai:DiVA.org:mdh-58802DiVA, id: diva2:1682995
Note
Export Date: 8 June 2022; Article; Correspondence Address: Salih AL-Mashhadani, L.Y.; Mälardalen University, Sweden; email: layaleyahya@gmail.com
2022-07-132022-07-132022-11-25Bibliographically approved