Cargando…

Season, not lockdown, improved air quality during COVID-19 State of Emergency in Nigeria

Globally, ambient air pollution claims ~9 million lives yearly, prompting researchers to investigate changes in air quality. Of special interest is the impact of COVID-19 lockdown. Many studies reported substantial improvements in air quality during lockdowns compared with pre-lockdown or as compare...

Descripción completa

Detalles Bibliográficos
Autores principales: Etchie, Tunde Ogbemi, Etchie, Ayotunde Titilayo, Jauro, Aliyu, Pinker, Rachel T., Swaminathan, Nedunchezhian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825968/
https://www.ncbi.nlm.nih.gov/pubmed/33736334
http://dx.doi.org/10.1016/j.scitotenv.2021.145187
_version_ 1783640430423834624
author Etchie, Tunde Ogbemi
Etchie, Ayotunde Titilayo
Jauro, Aliyu
Pinker, Rachel T.
Swaminathan, Nedunchezhian
author_facet Etchie, Tunde Ogbemi
Etchie, Ayotunde Titilayo
Jauro, Aliyu
Pinker, Rachel T.
Swaminathan, Nedunchezhian
author_sort Etchie, Tunde Ogbemi
collection PubMed
description Globally, ambient air pollution claims ~9 million lives yearly, prompting researchers to investigate changes in air quality. Of special interest is the impact of COVID-19 lockdown. Many studies reported substantial improvements in air quality during lockdowns compared with pre-lockdown or as compared with baseline values. Since the lockdown period coincided with the onset of the rainy season in some tropical countries such as Nigeria, it is unclear if such improvements can be fully attributed to the lockdown. We investigate whether significant changes in air quality in Nigeria occurred primarily due to statewide COVID-19 lockdown. We applied a neural network approach to derive monthly average ground-level fine aerosol optical depth (AOD(f)) across Nigeria from year 2001–2020, using the Multi-angle Implementation of Atmospheric Correction (MAIAC) AODs from Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) satellites, AERONET aerosol optical properties, meteorological and spatial parameters. During the year 2020, we found a 21% or 26% decline in average AOD(f) level across Nigeria during lockdown (April) as compared to pre-lockdown (March), or during the easing phase-1 (May) as compared to lockdown, respectively. Throughout the 20-year period, AOD(f) levels were highest in January and lowest in May or June, but not April. Comparison of AOD(f) levels between 2020 and 2019 shows a small decline (1%) in pollution level in April of 2020 compare to 2019. Using a linear time-lag model to compare changes in AOD(f) levels for similar months from 2002 to 2020, we found no significant difference (Levene's test and ANCOVA; α = 0.05) in the pollution levels by year, which indicates that the lockdown did not significantly improve air quality in Nigeria. Impact analysis using multiple linear regression revealed that favorable meteorological conditions due to seasonal change in temperature, relative humidity, planetary boundary layer height, wind speed and rainfall improved air quality during the lockdown.
format Online
Article
Text
id pubmed-7825968
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier B.V.
record_format MEDLINE/PubMed
spelling pubmed-78259682021-01-25 Season, not lockdown, improved air quality during COVID-19 State of Emergency in Nigeria Etchie, Tunde Ogbemi Etchie, Ayotunde Titilayo Jauro, Aliyu Pinker, Rachel T. Swaminathan, Nedunchezhian Sci Total Environ Article Globally, ambient air pollution claims ~9 million lives yearly, prompting researchers to investigate changes in air quality. Of special interest is the impact of COVID-19 lockdown. Many studies reported substantial improvements in air quality during lockdowns compared with pre-lockdown or as compared with baseline values. Since the lockdown period coincided with the onset of the rainy season in some tropical countries such as Nigeria, it is unclear if such improvements can be fully attributed to the lockdown. We investigate whether significant changes in air quality in Nigeria occurred primarily due to statewide COVID-19 lockdown. We applied a neural network approach to derive monthly average ground-level fine aerosol optical depth (AOD(f)) across Nigeria from year 2001–2020, using the Multi-angle Implementation of Atmospheric Correction (MAIAC) AODs from Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) satellites, AERONET aerosol optical properties, meteorological and spatial parameters. During the year 2020, we found a 21% or 26% decline in average AOD(f) level across Nigeria during lockdown (April) as compared to pre-lockdown (March), or during the easing phase-1 (May) as compared to lockdown, respectively. Throughout the 20-year period, AOD(f) levels were highest in January and lowest in May or June, but not April. Comparison of AOD(f) levels between 2020 and 2019 shows a small decline (1%) in pollution level in April of 2020 compare to 2019. Using a linear time-lag model to compare changes in AOD(f) levels for similar months from 2002 to 2020, we found no significant difference (Levene's test and ANCOVA; α = 0.05) in the pollution levels by year, which indicates that the lockdown did not significantly improve air quality in Nigeria. Impact analysis using multiple linear regression revealed that favorable meteorological conditions due to seasonal change in temperature, relative humidity, planetary boundary layer height, wind speed and rainfall improved air quality during the lockdown. Elsevier B.V. 2021-05-10 2021-01-21 /pmc/articles/PMC7825968/ /pubmed/33736334 http://dx.doi.org/10.1016/j.scitotenv.2021.145187 Text en © 2021 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Etchie, Tunde Ogbemi
Etchie, Ayotunde Titilayo
Jauro, Aliyu
Pinker, Rachel T.
Swaminathan, Nedunchezhian
Season, not lockdown, improved air quality during COVID-19 State of Emergency in Nigeria
title Season, not lockdown, improved air quality during COVID-19 State of Emergency in Nigeria
title_full Season, not lockdown, improved air quality during COVID-19 State of Emergency in Nigeria
title_fullStr Season, not lockdown, improved air quality during COVID-19 State of Emergency in Nigeria
title_full_unstemmed Season, not lockdown, improved air quality during COVID-19 State of Emergency in Nigeria
title_short Season, not lockdown, improved air quality during COVID-19 State of Emergency in Nigeria
title_sort season, not lockdown, improved air quality during covid-19 state of emergency in nigeria
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825968/
https://www.ncbi.nlm.nih.gov/pubmed/33736334
http://dx.doi.org/10.1016/j.scitotenv.2021.145187
work_keys_str_mv AT etchietundeogbemi seasonnotlockdownimprovedairqualityduringcovid19stateofemergencyinnigeria
AT etchieayotundetitilayo seasonnotlockdownimprovedairqualityduringcovid19stateofemergencyinnigeria
AT jauroaliyu seasonnotlockdownimprovedairqualityduringcovid19stateofemergencyinnigeria
AT pinkerrachelt seasonnotlockdownimprovedairqualityduringcovid19stateofemergencyinnigeria
AT swaminathannedunchezhian seasonnotlockdownimprovedairqualityduringcovid19stateofemergencyinnigeria