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RSS FeedsRemote Sensing, Vol. 13, Pages 4156: Assessing the Responses of Aviation-Related SO2 and NO2 Emissions to COVID-19 Lockdown Regulations in South Africa (Remote Sensing)

 
 

17 october 2021 14:07:19

 
Remote Sensing, Vol. 13, Pages 4156: Assessing the Responses of Aviation-Related SO2 and NO2 Emissions to COVID-19 Lockdown Regulations in South Africa (Remote Sensing)
 


Aircraft emit harmful substances, such as carbon dioxide (CO2), water vapour (H2O), nitrogen oxides (NOx), sulphur oxides (SOx), particulates, and other trace compounds. These emissions degrade air quality and can deteriorate human health and negatively impact climate change. Airports are the nucleus of the ground and low-altitude emissions from aircraft during approach, landing, take-off, and taxi. During the global lockdown due to the COVID-19 pandemic, tight restrictions of the movement were imposed, leading to temporary closures of airports globally. In this study, we look at the variability of emissions at two major airports in South Africa, namely the OR Tambo international airport (FAOR) and the Cape Town international airport (FACT). Trend analysis of aircraft movements, i.e., departures and arrivals, showed a sharp decline at the two airports coinciding with the lockdowns to prevent the spread of the COVID-19. Consequently, a decrease in NO2 emissions by 70.45% (12.6 × 10âˆ`5 mol/m2) and 64.58% (11.6 × 10âˆ`5 mol/m2) at FAOR and FACT were observed, respectively. A noticeable SO2 emission decline was also observed, particularly over FAOR during the lockdown period in South Africa. Overall, this study observed that the global lockdown regulations had a positive impact on the air quality, causing a brief decline in emissions from commercial aviation at the South African major airports.


 
186 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 13, Pages 4160: Mapping Crop Rotation by Using Deeply Synergistic Optical and SAR Time Series (Remote Sensing)
Remote Sensing, Vol. 13, Pages 4157: High-Resolution Cooperate Density-Integrated Inversion Method of Airborne Gravity and Its Gradient Data (Remote Sensing)
 
 
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