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Spatiotemporal Investigations of Multi-Sensor Air Pollution Data over Bangladesh during COVID-19 Lockdown.

Authors :
Qiu, Zhongfeng
Ali, Md. Arfan
Nichol, Janet E.
Bilal, Muhammad
Tiwari, Pravash
Habtemicheal, Birhanu Asmerom
Almazroui, Mansour
Mondal, Sanjit Kumar
Mazhar, Usman
Wang, Yu
Sarker, Sajib
Mustafa, Farhan
Rahman, Muhammad Ashfaqur
Leeuw, Gerrit de
Moshary, Fred
Source :
Remote Sensing; 3/1/2021, Vol. 13 Issue 5, p877-877, 1p
Publication Year :
2021

Abstract

This study investigates spatiotemporal changes in air pollution (particulate as well as gases) during the COVID-19 lockdown period over major cities of Bangladesh. The study investigated the aerosol optical depth (AOD) from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Terra and Aqua satellites, PM<subscript>2.5</subscript> and PM<subscript>10</subscript> from Copernicus Atmosphere Monitoring Service (CAMS), and NO<subscript>2</subscript> and O<subscript>3</subscript> from TROPOMI-5P, from March to June 2019–2020. Additionally, aerosol subtypes from the Cloud-Aerosol Lidar and Infrared Pathfinder (CALIPSO) were used to explore the aerosol types. The strict lockdown (26 March–30 May 2020) led to a significant reduction in AOD (up to 47%) in all major cities, while the partial lockdown (June 2020) led to increased and decreased AOD over the study area. Significant reductions in PM<subscript>2.5</subscript> (37–77%) and PM<subscript>10</subscript> (33–70%) were also observed throughout the country during the strict lockdown and partial lockdown. The NO<subscript>2</subscript> levels decreased by 3–25% in March 2020 in the cities of Rajshahi, Chattogram, Sylhet, Khulna, Barisal, and Mymensingh, in April by 3–43% in Dhaka, Chattogram, Khulna, Barisal, Bhola, and Mymensingh, and May by 12–42% in Rajshahi, Sylhet, Mymensingh, and Rangpur. During the partial lockdown in June, NO<subscript>2</subscript> decreased (9–35%) in Dhaka, Chattogram, Sylhet, Khulna, Barisal, and Rangpur compared to 2019. On the other hand, increases were observed in ozone (O<subscript>3)</subscript> levels, with an average increase of 3–12% throughout the country during the strict lockdown and only a slight reduction of 1–3% in O<subscript>3</subscript> during the partial lockdown. In terms of aerosol types, CALIPSO observed high levels of polluted dust followed by dust, smoke, polluted continental, and clean marine-type aerosols over the country in 2019, but all types were decreased during the lockdown. The study concludes that the strict lockdown measures were able to significantly improve air quality conditions over Bangladesh due to the shutdown of industries, vehicles, and movement of people. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20724292
Volume :
13
Issue :
5
Database :
Complementary Index
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
149295979
Full Text :
https://doi.org/10.3390/rs13050877