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Detection of fossil-fuel CO(2) plummet in China due to COVID-19 by observation at Hateruma

The COVID-19 pandemic caused drastic reductions in carbon dioxide (CO(2)) emissions, but due to its large atmospheric reservoir and long lifetime, no detectable signal has been observed in the atmospheric CO(2) growth rate. Using the variabilities in CO(2) (ΔCO(2)) and methane (ΔCH(4)) observed at H...

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Autores principales: Tohjima, Yasunori, Patra, Prabir K., Niwa, Yosuke, Mukai, Hitoshi, Sasakawa, Motoki, Machida, Toshinobu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596474/
https://www.ncbi.nlm.nih.gov/pubmed/33122844
http://dx.doi.org/10.1038/s41598-020-75763-6
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author Tohjima, Yasunori
Patra, Prabir K.
Niwa, Yosuke
Mukai, Hitoshi
Sasakawa, Motoki
Machida, Toshinobu
author_facet Tohjima, Yasunori
Patra, Prabir K.
Niwa, Yosuke
Mukai, Hitoshi
Sasakawa, Motoki
Machida, Toshinobu
author_sort Tohjima, Yasunori
collection PubMed
description The COVID-19 pandemic caused drastic reductions in carbon dioxide (CO(2)) emissions, but due to its large atmospheric reservoir and long lifetime, no detectable signal has been observed in the atmospheric CO(2) growth rate. Using the variabilities in CO(2) (ΔCO(2)) and methane (ΔCH(4)) observed at Hateruma Island, Japan during 1997–2020, we show a traceable CO(2) emission reduction in China during February–March 2020. The monitoring station at Hateruma Island observes the outflow of Chinese emissions during winter and spring. A systematic increase in the ΔCO(2)/ΔCH(4) ratio, governed by synoptic wind variability, well corroborated the increase in China’s fossil-fuel CO(2) (FFCO(2)) emissions during 1997–2019. However, the ΔCO(2)/ΔCH(4) ratios showed significant decreases of 29 ± 11 and 16 ± 11 mol mol(−1) in February and March 2020, respectively, relative to the 2011–2019 average of 131 ± 11 mol mol(−1). By projecting these observed ΔCO(2)/ΔCH(4) ratios on transport model simulations, we estimated reductions of 32 ± 12% and 19 ± 15% in the FFCO(2) emissions in China for February and March 2020, respectively, compared to the expected emissions. Our data are consistent with the abrupt decrease in the economic activity in February, a slight recovery in March, and return to normal in April, which was calculated based on the COVID-19 lockdowns and mobility restriction datasets.
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spelling pubmed-75964742020-10-30 Detection of fossil-fuel CO(2) plummet in China due to COVID-19 by observation at Hateruma Tohjima, Yasunori Patra, Prabir K. Niwa, Yosuke Mukai, Hitoshi Sasakawa, Motoki Machida, Toshinobu Sci Rep Article The COVID-19 pandemic caused drastic reductions in carbon dioxide (CO(2)) emissions, but due to its large atmospheric reservoir and long lifetime, no detectable signal has been observed in the atmospheric CO(2) growth rate. Using the variabilities in CO(2) (ΔCO(2)) and methane (ΔCH(4)) observed at Hateruma Island, Japan during 1997–2020, we show a traceable CO(2) emission reduction in China during February–March 2020. The monitoring station at Hateruma Island observes the outflow of Chinese emissions during winter and spring. A systematic increase in the ΔCO(2)/ΔCH(4) ratio, governed by synoptic wind variability, well corroborated the increase in China’s fossil-fuel CO(2) (FFCO(2)) emissions during 1997–2019. However, the ΔCO(2)/ΔCH(4) ratios showed significant decreases of 29 ± 11 and 16 ± 11 mol mol(−1) in February and March 2020, respectively, relative to the 2011–2019 average of 131 ± 11 mol mol(−1). By projecting these observed ΔCO(2)/ΔCH(4) ratios on transport model simulations, we estimated reductions of 32 ± 12% and 19 ± 15% in the FFCO(2) emissions in China for February and March 2020, respectively, compared to the expected emissions. Our data are consistent with the abrupt decrease in the economic activity in February, a slight recovery in March, and return to normal in April, which was calculated based on the COVID-19 lockdowns and mobility restriction datasets. Nature Publishing Group UK 2020-10-29 /pmc/articles/PMC7596474/ /pubmed/33122844 http://dx.doi.org/10.1038/s41598-020-75763-6 Text en © The Author(s) 2020 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/.
spellingShingle Article
Tohjima, Yasunori
Patra, Prabir K.
Niwa, Yosuke
Mukai, Hitoshi
Sasakawa, Motoki
Machida, Toshinobu
Detection of fossil-fuel CO(2) plummet in China due to COVID-19 by observation at Hateruma
title Detection of fossil-fuel CO(2) plummet in China due to COVID-19 by observation at Hateruma
title_full Detection of fossil-fuel CO(2) plummet in China due to COVID-19 by observation at Hateruma
title_fullStr Detection of fossil-fuel CO(2) plummet in China due to COVID-19 by observation at Hateruma
title_full_unstemmed Detection of fossil-fuel CO(2) plummet in China due to COVID-19 by observation at Hateruma
title_short Detection of fossil-fuel CO(2) plummet in China due to COVID-19 by observation at Hateruma
title_sort detection of fossil-fuel co(2) plummet in china due to covid-19 by observation at hateruma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596474/
https://www.ncbi.nlm.nih.gov/pubmed/33122844
http://dx.doi.org/10.1038/s41598-020-75763-6
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