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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
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 |
Sumario: | 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. |
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