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

  • Zhongfeng Qiu
  • , Md Arfan Ali
  • , Janet E. Nichol
  • , Muhammad Bilal*
  • , Pravash Tiwari
  • , Birhanu Asmerom Habtemicheal
  • , Mansour Almazroui
  • , Sanjit Kumar Mondal
  • , Usman Mazhar
  • , Yu Wang
  • , Sajib Sarker
  • , Farhan Mustafa
  • , Muhammad Ashfaqur Rahman
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

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, 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 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 PM2.5 (37- 77%) and PM10 (33%-70%) were also observed throughout the country during the strict lockdown and partial lockdown. The NO2 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, NO2 decreased (9%-35%) in Dhaka, Chattogram, 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.

Original languageEnglish
Article number877
Pages (from-to)1-29
Number of pages29
JournalRemote Sensing
Volume13
Issue number5
DOIs
StatePublished - 1 Mar 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 by the authors.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Aerosols
  • CALIPSO
  • COVID-19
  • Ozone
  • Particulate matter

ASJC Scopus subject areas

  • General Earth and Planetary Sciences

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