Assessment of COVID-19 Impacts on Air Quality in Ulaanbaatar, Mongolia, Based on Terrestrial and Sentinel-5P TROPOMI Data

Ganbat, Gantuya, Lee, Halim, Jo,Hyun-Woo, Jadamba, Batbayar and Karthe, Daniel, (2022). Assessment of COVID-19 Impacts on Air Quality in Ulaanbaatar, Mongolia, Based on Terrestrial and Sentinel-5P TROPOMI Data. Aerosol and Air Quality Research, 22(10), 220196-n/a

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  • Sub-type Journal article
    Author Ganbat, Gantuya
    Lee, Halim
    Jo,Hyun-Woo
    Jadamba, Batbayar
    Karthe, Daniel
    Title Assessment of COVID-19 Impacts on Air Quality in Ulaanbaatar, Mongolia, Based on Terrestrial and Sentinel-5P TROPOMI Data
    Appearing in Aerosol and Air Quality Research
    Volume 22
    Issue No. 10
    Publication Date 2022-08-22
    Place of Publication Online
    Publisher Taiwan Association for Aerosol Research
    Start page 220196
    End page n/a
    Language eng
    Abstract The study aims to reveal the impact of three sequential strict-lockdowns of COVID-19 measures on the air pollutants including NO2, SO2, PM10, and PM2.5 in Ulaanbaatar, Mongolia during November 2020–February 2021 based on air quality network and satellite data. Based on measurements of automatic air quality sites in Ulaanbaatar, we found a substantial decrease in NO2 (up to 45%), PM10 (72%), and PM2.5 (59%) compared to the same periods in the previous five years. On the other hand, up to a threefold increase in SO2 concentration was seen. Compared to 2015–2020, the number of days exceeding the national air quality standard level of NO2 decreased by 55% during November 2020–February 2021. A similar trend was observed for PM10 and PM2.5 (30% and 14%, respectively). Conversely, days exceeding the national air quality standard level of SO2 increased by 58%. The third strict-lockdown exhibited significant reductions in pollutant concentrations. The percentage exceeding the national standard level for NO2, PM10, and PM2.5 constituted 23%, 50%, and 67% during the lockdown periods while it was 89%, 84%, and 91%, respectively, for the same periods in the previous five years. Even though Sentinel 5P-TROPOMI data do not fully reflect the above findings, they add valuable insights into the spatial pollution pattern during strict-lockdown and non-lockdown periods. The study demonstrates that measures taken during the strict-lockdown periods clearly influenced the values of daily patterns of NO2, PM10, and PM2.5 concentrations. On the contrary, it is important to note that SO2 concentration increased during the last two winter months after 2019.
    UNBIS Thesaurus AIR POLLUTION
    Keyword Strict lockdown
    COVID-19
    Ulaanbaatar
    Copyright Holder The Authors
    Copyright Year 2022
    Copyright type Creative commons
    ISSN 2071-1409
    DOI https://doi.org/10.4209/aaqr.220196
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    Created: Thu, 13 Jul 2023, 05:46:49 JST by Věra Greschner Farkavcová on behalf of UNU FLORES