Spatiotemporal investigations of multi-sensor air pollution data over Bangladesh during COVID-19 lockdown

Qiu, Zhongfeng, Ali, Arfan, Nichol, Janet E, Bilal, Muhammad, Tiwari, Pravash, Habtemicheal, Birhanu Asmerom, Almazroui, Mansour, Mondal, Sanjit Kumar, Mazhar, Usman, Wang, Yu, Sarker, Sajib, Mustafa, Farhan and Rahman, Muhammad Ashfaqur (2021) Spatiotemporal investigations of multi-sensor air pollution data over Bangladesh during COVID-19 lockdown. Remote Sensing, 13 (5). a877 1-27. ISSN 2072-4292

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Abstract

This study investigates spatio-temporal 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 Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Terra and Aqua satellites, PM2.5 and PM10 from Copernicus Atmosphere Monitoring Service (CAMS), and NO2 and O3 from Tropomi-5P, from March to June 2019–2020. Additionally, aerosol sub-types 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 re-duction in AOD (up to 47%) in all major cities, while the partial-lockdown (June 2020) led to in-creased and decreased AOD over the study area. Significant reductions in PM2.5 (37–77%) and PM10 (33–70%) were also observed throughout the country during the strict lockdown- and par-tial-lockdown. The NO2 levels decreased by 3–25% in March 2020 in the cities of Rajshahi, Chat-togram, 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, NO2 decreased (9−35%) in Dhaka, Chatto-gram, Sylhet, Khulna, Barisal, and Rangpur compared to 2019. On the other hand, increases were observed in ozone (O3) levels, with an average increase of 3–12% throughout the country during the strict lockdown and only a slight reduction of 1–3% in O3 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.

Item Type: Article
Additional Information: This article belongs to the Special Issue Remote Sensing of Atmospheric Aerosols over Asia: Methods and Applications
Schools and Departments: School of Global Studies > Geography
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 08 Apr 2021 08:55
Last Modified: 08 Apr 2021 09:00
URI: http://sro.sussex.ac.uk/id/eprint/98250

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