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Associations of air pollution concentrations and energy production dynamics in Pakistan during lockdown
This study investigated atmospheric changes that occurred due to changes in energy production and consumption before and during the COVID-19 pandemic. We analyzed nitrogen dioxide (NO(2)), aerosol optical depth (AOD), and rainfall patterns to understand the associated changes in emissions, especiall...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8765831/ https://www.ncbi.nlm.nih.gov/pubmed/35043297 http://dx.doi.org/10.1007/s11356-021-18071-4 |
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author | Abbas, Sawaid Ali, Ghaffar Qamer, Faisal Mueen Irteza, Syed Muhammad |
author_facet | Abbas, Sawaid Ali, Ghaffar Qamer, Faisal Mueen Irteza, Syed Muhammad |
author_sort | Abbas, Sawaid |
collection | PubMed |
description | This study investigated atmospheric changes that occurred due to changes in energy production and consumption before and during the COVID-19 pandemic. We analyzed nitrogen dioxide (NO(2)), aerosol optical depth (AOD), and rainfall patterns to understand the associated changes in emissions, especially from the power generation sector, before (2018 and 2019) and during the lockdown of 2020 across Pakistan. Regression analysis indicated a strong association between energy production by thermal power plants and tropospheric NO(2) concentrations. Notably, a comparison between emission sources showed that the NO(2) emissions from a single thermal power plant were equivalent to the emissions from a major city. During the lockdown, we observed a 40% reduction in NO(2) emissions from coal-based power plants and a 30% reduction in mega- and major cities compared to the same retro in 2019. We also observed an approximate 25% decrease in AOD in the industrial and energy sectors, although no major decrease was obvious in the cities. Rainfall contributed to reducing the NO(2) concentrations during monsoon season across all power plants in Pakistan, whereas it did not significantly correlate with AOD. The findings highlight the need for appropriate management and use of renewable energy in the industrial sector and transportation systems. Future research could estimate the environmental and public health costs linked to pollution originating from thermal energy production and poor transportation infrastructure. |
format | Online Article Text |
id | pubmed-8765831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-87658312022-01-19 Associations of air pollution concentrations and energy production dynamics in Pakistan during lockdown Abbas, Sawaid Ali, Ghaffar Qamer, Faisal Mueen Irteza, Syed Muhammad Environ Sci Pollut Res Int Research Article This study investigated atmospheric changes that occurred due to changes in energy production and consumption before and during the COVID-19 pandemic. We analyzed nitrogen dioxide (NO(2)), aerosol optical depth (AOD), and rainfall patterns to understand the associated changes in emissions, especially from the power generation sector, before (2018 and 2019) and during the lockdown of 2020 across Pakistan. Regression analysis indicated a strong association between energy production by thermal power plants and tropospheric NO(2) concentrations. Notably, a comparison between emission sources showed that the NO(2) emissions from a single thermal power plant were equivalent to the emissions from a major city. During the lockdown, we observed a 40% reduction in NO(2) emissions from coal-based power plants and a 30% reduction in mega- and major cities compared to the same retro in 2019. We also observed an approximate 25% decrease in AOD in the industrial and energy sectors, although no major decrease was obvious in the cities. Rainfall contributed to reducing the NO(2) concentrations during monsoon season across all power plants in Pakistan, whereas it did not significantly correlate with AOD. The findings highlight the need for appropriate management and use of renewable energy in the industrial sector and transportation systems. Future research could estimate the environmental and public health costs linked to pollution originating from thermal energy production and poor transportation infrastructure. Springer Berlin Heidelberg 2022-01-19 2022 /pmc/articles/PMC8765831/ /pubmed/35043297 http://dx.doi.org/10.1007/s11356-021-18071-4 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Research Article Abbas, Sawaid Ali, Ghaffar Qamer, Faisal Mueen Irteza, Syed Muhammad Associations of air pollution concentrations and energy production dynamics in Pakistan during lockdown |
title | Associations of air pollution concentrations and energy production dynamics in Pakistan during lockdown |
title_full | Associations of air pollution concentrations and energy production dynamics in Pakistan during lockdown |
title_fullStr | Associations of air pollution concentrations and energy production dynamics in Pakistan during lockdown |
title_full_unstemmed | Associations of air pollution concentrations and energy production dynamics in Pakistan during lockdown |
title_short | Associations of air pollution concentrations and energy production dynamics in Pakistan during lockdown |
title_sort | associations of air pollution concentrations and energy production dynamics in pakistan during lockdown |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8765831/ https://www.ncbi.nlm.nih.gov/pubmed/35043297 http://dx.doi.org/10.1007/s11356-021-18071-4 |
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