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Dominance of the residential sector in Chinese black carbon emissions as identified from downwind atmospheric observations during the COVID-19 pandemic

Emissions of black carbon (BC) particles from anthropogenic and natural sources contribute to climate change and human health impacts. Therefore, they need to be accurately quantified to develop an effective mitigation strategy. Although the spread of the emission flux estimates for China have recen...

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Autores principales: Kanaya, Yugo, Yamaji, Kazuyo, Miyakawa, Takuma, Taketani, Fumikazu, Zhu, Chunmao, Choi, Yongjoo, Ikeda, Kohei, Tanimoto, Hiroshi, Yamada, Daichi, Narita, Daiju, Kondo, Yutaka, Klimont, Zbigniew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8677718/
https://www.ncbi.nlm.nih.gov/pubmed/34916540
http://dx.doi.org/10.1038/s41598-021-02518-2
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author Kanaya, Yugo
Yamaji, Kazuyo
Miyakawa, Takuma
Taketani, Fumikazu
Zhu, Chunmao
Choi, Yongjoo
Ikeda, Kohei
Tanimoto, Hiroshi
Yamada, Daichi
Narita, Daiju
Kondo, Yutaka
Klimont, Zbigniew
author_facet Kanaya, Yugo
Yamaji, Kazuyo
Miyakawa, Takuma
Taketani, Fumikazu
Zhu, Chunmao
Choi, Yongjoo
Ikeda, Kohei
Tanimoto, Hiroshi
Yamada, Daichi
Narita, Daiju
Kondo, Yutaka
Klimont, Zbigniew
author_sort Kanaya, Yugo
collection PubMed
description Emissions of black carbon (BC) particles from anthropogenic and natural sources contribute to climate change and human health impacts. Therefore, they need to be accurately quantified to develop an effective mitigation strategy. Although the spread of the emission flux estimates for China have recently narrowed under the constraints of atmospheric observations, consensus has not been reached regarding the dominant emission sector. Here, we quantified the contribution of the residential sector, as 64% (44–82%) in 2019, using the response of the observed atmospheric concentration in the outflowing air during Feb–Mar 2020, with the prevalence of the COVID-19 pandemic and restricted human activities over China. In detail, the BC emission fluxes, estimated after removing effects from meteorological variability, dropped only slightly (− 18%) during Feb–Mar 2020 from the levels in the previous year for selected air masses of Chinese origin, suggesting the contributions from the transport and industry sectors (36%) were smaller than the rest from the residential sector (64%). Carbon monoxide (CO) behaved differently, with larger emission reductions (− 35%) in the period Feb–Mar 2020, suggesting dominance of non-residential (i.e., transport and industry) sectors, which contributed 70% (48–100%) emission during 2019. The estimated BC/CO emission ratio for these sectors will help to further constrain bottom-up emission inventories. We comprehensively provide a clear scientific evidence supporting mitigation policies targeting reduction in residential BC emissions from China by demonstrating the economic feasibility using marginal abatement cost curves.
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spelling pubmed-86777182021-12-20 Dominance of the residential sector in Chinese black carbon emissions as identified from downwind atmospheric observations during the COVID-19 pandemic Kanaya, Yugo Yamaji, Kazuyo Miyakawa, Takuma Taketani, Fumikazu Zhu, Chunmao Choi, Yongjoo Ikeda, Kohei Tanimoto, Hiroshi Yamada, Daichi Narita, Daiju Kondo, Yutaka Klimont, Zbigniew Sci Rep Article Emissions of black carbon (BC) particles from anthropogenic and natural sources contribute to climate change and human health impacts. Therefore, they need to be accurately quantified to develop an effective mitigation strategy. Although the spread of the emission flux estimates for China have recently narrowed under the constraints of atmospheric observations, consensus has not been reached regarding the dominant emission sector. Here, we quantified the contribution of the residential sector, as 64% (44–82%) in 2019, using the response of the observed atmospheric concentration in the outflowing air during Feb–Mar 2020, with the prevalence of the COVID-19 pandemic and restricted human activities over China. In detail, the BC emission fluxes, estimated after removing effects from meteorological variability, dropped only slightly (− 18%) during Feb–Mar 2020 from the levels in the previous year for selected air masses of Chinese origin, suggesting the contributions from the transport and industry sectors (36%) were smaller than the rest from the residential sector (64%). Carbon monoxide (CO) behaved differently, with larger emission reductions (− 35%) in the period Feb–Mar 2020, suggesting dominance of non-residential (i.e., transport and industry) sectors, which contributed 70% (48–100%) emission during 2019. The estimated BC/CO emission ratio for these sectors will help to further constrain bottom-up emission inventories. We comprehensively provide a clear scientific evidence supporting mitigation policies targeting reduction in residential BC emissions from China by demonstrating the economic feasibility using marginal abatement cost curves. Nature Publishing Group UK 2021-12-16 /pmc/articles/PMC8677718/ /pubmed/34916540 http://dx.doi.org/10.1038/s41598-021-02518-2 Text en © The Author(s) 2021 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
Kanaya, Yugo
Yamaji, Kazuyo
Miyakawa, Takuma
Taketani, Fumikazu
Zhu, Chunmao
Choi, Yongjoo
Ikeda, Kohei
Tanimoto, Hiroshi
Yamada, Daichi
Narita, Daiju
Kondo, Yutaka
Klimont, Zbigniew
Dominance of the residential sector in Chinese black carbon emissions as identified from downwind atmospheric observations during the COVID-19 pandemic
title Dominance of the residential sector in Chinese black carbon emissions as identified from downwind atmospheric observations during the COVID-19 pandemic
title_full Dominance of the residential sector in Chinese black carbon emissions as identified from downwind atmospheric observations during the COVID-19 pandemic
title_fullStr Dominance of the residential sector in Chinese black carbon emissions as identified from downwind atmospheric observations during the COVID-19 pandemic
title_full_unstemmed Dominance of the residential sector in Chinese black carbon emissions as identified from downwind atmospheric observations during the COVID-19 pandemic
title_short Dominance of the residential sector in Chinese black carbon emissions as identified from downwind atmospheric observations during the COVID-19 pandemic
title_sort dominance of the residential sector in chinese black carbon emissions as identified from downwind atmospheric observations during the covid-19 pandemic
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8677718/
https://www.ncbi.nlm.nih.gov/pubmed/34916540
http://dx.doi.org/10.1038/s41598-021-02518-2
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