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Spaceborne NO(2) observations are sensitive to coal mining and processing in the largest coal basin of Russia

Coal use exacerbates several major environmental problems including build-up of greenhouse gases and air quality deterioration. Although Kuzbass (Siberia) is one of the largest exploited coal basins worldwide, the role of regional coal mining and processing in atmospheric pollution is unknown. We ou...

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Autores principales: Labzovskii, Lev D., Belikov, Dmitry A., Damiani, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307612/
https://www.ncbi.nlm.nih.gov/pubmed/35869177
http://dx.doi.org/10.1038/s41598-022-16850-8
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author Labzovskii, Lev D.
Belikov, Dmitry A.
Damiani, Alessandro
author_facet Labzovskii, Lev D.
Belikov, Dmitry A.
Damiani, Alessandro
author_sort Labzovskii, Lev D.
collection PubMed
description Coal use exacerbates several major environmental problems including build-up of greenhouse gases and air quality deterioration. Although Kuzbass (Siberia) is one of the largest exploited coal basins worldwide, the role of regional coal mining and processing in atmospheric pollution is unknown. We outlined the Kuzbass coal basin by spaceborne night-lights and revealed a regional, long-term tropospheric NO(2) anomaly (2005–2018) by spaceborne NO(2) column observations (hereafter ‒ NO(2)). The spatial agreement between NO(2) and night-lights indicates that the anomaly is attributable to an agglomeration of coal quarries and the cities in Kuzbass, that are heavily reliant on coal. A positive relationship between NO(2) and interannual coal production suggested that the anomaly was related to coal in Kuzbass; ~ 1.0% of annual coal production increase induced ~ 0.5–0.6% of NO(2) enhancement. As coal production accelerated since 2010, NO(2) exhibited strikingly similar annual increases over Kuzbass in 2010–2014 (7%) and 2015–2019 (15%), compared to 2005–2009. Conversely, Siberian cities lacking a coal industry followed the global trend of reducing NO(2) for the same periods (−5% and −14%, respectively), driven by fuel combustion improvements. Overall, we demonstrated that coal mining, processing and utilization can induce distinct tropospheric NO(2) anomalies, detectable from space.
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spelling pubmed-93076122022-07-24 Spaceborne NO(2) observations are sensitive to coal mining and processing in the largest coal basin of Russia Labzovskii, Lev D. Belikov, Dmitry A. Damiani, Alessandro Sci Rep Article Coal use exacerbates several major environmental problems including build-up of greenhouse gases and air quality deterioration. Although Kuzbass (Siberia) is one of the largest exploited coal basins worldwide, the role of regional coal mining and processing in atmospheric pollution is unknown. We outlined the Kuzbass coal basin by spaceborne night-lights and revealed a regional, long-term tropospheric NO(2) anomaly (2005–2018) by spaceborne NO(2) column observations (hereafter ‒ NO(2)). The spatial agreement between NO(2) and night-lights indicates that the anomaly is attributable to an agglomeration of coal quarries and the cities in Kuzbass, that are heavily reliant on coal. A positive relationship between NO(2) and interannual coal production suggested that the anomaly was related to coal in Kuzbass; ~ 1.0% of annual coal production increase induced ~ 0.5–0.6% of NO(2) enhancement. As coal production accelerated since 2010, NO(2) exhibited strikingly similar annual increases over Kuzbass in 2010–2014 (7%) and 2015–2019 (15%), compared to 2005–2009. Conversely, Siberian cities lacking a coal industry followed the global trend of reducing NO(2) for the same periods (−5% and −14%, respectively), driven by fuel combustion improvements. Overall, we demonstrated that coal mining, processing and utilization can induce distinct tropospheric NO(2) anomalies, detectable from space. Nature Publishing Group UK 2022-07-22 /pmc/articles/PMC9307612/ /pubmed/35869177 http://dx.doi.org/10.1038/s41598-022-16850-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Labzovskii, Lev D.
Belikov, Dmitry A.
Damiani, Alessandro
Spaceborne NO(2) observations are sensitive to coal mining and processing in the largest coal basin of Russia
title Spaceborne NO(2) observations are sensitive to coal mining and processing in the largest coal basin of Russia
title_full Spaceborne NO(2) observations are sensitive to coal mining and processing in the largest coal basin of Russia
title_fullStr Spaceborne NO(2) observations are sensitive to coal mining and processing in the largest coal basin of Russia
title_full_unstemmed Spaceborne NO(2) observations are sensitive to coal mining and processing in the largest coal basin of Russia
title_short Spaceborne NO(2) observations are sensitive to coal mining and processing in the largest coal basin of Russia
title_sort spaceborne no(2) observations are sensitive to coal mining and processing in the largest coal basin of russia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307612/
https://www.ncbi.nlm.nih.gov/pubmed/35869177
http://dx.doi.org/10.1038/s41598-022-16850-8
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