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Assessment of NO(2) concentrations over industrial state Jharkhand, at the time frame of pre, concurrent, and post-COVID-19 lockdown along with the meteorological behaviour: an overview from satellite and ground approaches
Burning of fossil fuels in the form of coal or gasoline in thermal power plants, industries, and automobiles is a prime source of nitrogen dioxide (NO(2)), a major air pollutant causing health problems. In this paper, spatio-temporal unevenness of NO(2) concentrations via both spaceborne Sentinel-5P...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150349/ https://www.ncbi.nlm.nih.gov/pubmed/37126175 http://dx.doi.org/10.1007/s11356-023-27236-2 |
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author | Priya, Shalini Iqbal, Jawed |
author_facet | Priya, Shalini Iqbal, Jawed |
author_sort | Priya, Shalini |
collection | PubMed |
description | Burning of fossil fuels in the form of coal or gasoline in thermal power plants, industries, and automobiles is a prime source of nitrogen dioxide (NO(2)), a major air pollutant causing health problems. In this paper, spatio-temporal unevenness of NO(2) concentrations via both spaceborne Sentinel-5P and ground-based in situ data have been studied for the period of 2017–2021. Annual and seasonal distribution of TROPOMI-NO(2) depict consistency over the Jharkhand region, highlighting six hotspot regions. As compared to 2019, a notable dip of 11% in the spatial annual average TROPOMI-NO(2) was achieved in 2020, which were elevated again by 22% in 2021 as the lockdown gradually goes out of the picture. Among eight ground-monitoring stations, Tata and Golmuri stations always displayed a higher level of TROPOMI-NO(2) ranges up to 15.2 ×10(15)molecules.cm(−2) and 16.9 ×10(15)molecules.cm(−2) respectively, as being located in the highly industrialised district of Jamshedpur. A big percentage reduction of up to 30% in TROPOMI-NO(2) has been reported in Jharia and Bastacola stations in Dhanbad in the lockdown phase of 2020 compared to 2019. Good agreement between TROPOMI-NO(2) and surface-NO(2) has been achieved with R = 0.8 and R = 0.71 during winter and post-monsoon respectively. Among four meteorological parameters, TROPOMI-NO(2) was majorly found to be influenced by precipitation, having R = 0.6–0.8 for almost all stations. More advanced satellite algorithms and ground-based data may be used to estimate NO(2) in places where monitoring facilities are limited and thus can help in air pollution control policy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-023-27236-2. |
format | Online Article Text |
id | pubmed-10150349 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-101503492023-05-02 Assessment of NO(2) concentrations over industrial state Jharkhand, at the time frame of pre, concurrent, and post-COVID-19 lockdown along with the meteorological behaviour: an overview from satellite and ground approaches Priya, Shalini Iqbal, Jawed Environ Sci Pollut Res Int Research Article Burning of fossil fuels in the form of coal or gasoline in thermal power plants, industries, and automobiles is a prime source of nitrogen dioxide (NO(2)), a major air pollutant causing health problems. In this paper, spatio-temporal unevenness of NO(2) concentrations via both spaceborne Sentinel-5P and ground-based in situ data have been studied for the period of 2017–2021. Annual and seasonal distribution of TROPOMI-NO(2) depict consistency over the Jharkhand region, highlighting six hotspot regions. As compared to 2019, a notable dip of 11% in the spatial annual average TROPOMI-NO(2) was achieved in 2020, which were elevated again by 22% in 2021 as the lockdown gradually goes out of the picture. Among eight ground-monitoring stations, Tata and Golmuri stations always displayed a higher level of TROPOMI-NO(2) ranges up to 15.2 ×10(15)molecules.cm(−2) and 16.9 ×10(15)molecules.cm(−2) respectively, as being located in the highly industrialised district of Jamshedpur. A big percentage reduction of up to 30% in TROPOMI-NO(2) has been reported in Jharia and Bastacola stations in Dhanbad in the lockdown phase of 2020 compared to 2019. Good agreement between TROPOMI-NO(2) and surface-NO(2) has been achieved with R = 0.8 and R = 0.71 during winter and post-monsoon respectively. Among four meteorological parameters, TROPOMI-NO(2) was majorly found to be influenced by precipitation, having R = 0.6–0.8 for almost all stations. More advanced satellite algorithms and ground-based data may be used to estimate NO(2) in places where monitoring facilities are limited and thus can help in air pollution control policy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-023-27236-2. Springer Berlin Heidelberg 2023-05-01 2023 /pmc/articles/PMC10150349/ /pubmed/37126175 http://dx.doi.org/10.1007/s11356-023-27236-2 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. 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 Priya, Shalini Iqbal, Jawed Assessment of NO(2) concentrations over industrial state Jharkhand, at the time frame of pre, concurrent, and post-COVID-19 lockdown along with the meteorological behaviour: an overview from satellite and ground approaches |
title | Assessment of NO(2) concentrations over industrial state Jharkhand, at the time frame of pre, concurrent, and post-COVID-19 lockdown along with the meteorological behaviour: an overview from satellite and ground approaches |
title_full | Assessment of NO(2) concentrations over industrial state Jharkhand, at the time frame of pre, concurrent, and post-COVID-19 lockdown along with the meteorological behaviour: an overview from satellite and ground approaches |
title_fullStr | Assessment of NO(2) concentrations over industrial state Jharkhand, at the time frame of pre, concurrent, and post-COVID-19 lockdown along with the meteorological behaviour: an overview from satellite and ground approaches |
title_full_unstemmed | Assessment of NO(2) concentrations over industrial state Jharkhand, at the time frame of pre, concurrent, and post-COVID-19 lockdown along with the meteorological behaviour: an overview from satellite and ground approaches |
title_short | Assessment of NO(2) concentrations over industrial state Jharkhand, at the time frame of pre, concurrent, and post-COVID-19 lockdown along with the meteorological behaviour: an overview from satellite and ground approaches |
title_sort | assessment of no(2) concentrations over industrial state jharkhand, at the time frame of pre, concurrent, and post-covid-19 lockdown along with the meteorological behaviour: an overview from satellite and ground approaches |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150349/ https://www.ncbi.nlm.nih.gov/pubmed/37126175 http://dx.doi.org/10.1007/s11356-023-27236-2 |
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