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Observing network effect of shipping emissions from space: A natural experiment in the world’s busiest port
Maritime trade and associated emissions are dynamic in nature. Although shipping emissions contribute significantly to air quality and climate change, their trade-governed dynamics remain less explored due to the lack of observational evidence. Here, we use satellite measurements to capture the redi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687330/ https://www.ncbi.nlm.nih.gov/pubmed/38034090 http://dx.doi.org/10.1093/pnasnexus/pgad391 |
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author | Liu, Song Li, Xicheng Li, Juan Shu, Lei Fu, Tzung-May Yang, Xin Zhu, Lei |
author_facet | Liu, Song Li, Xicheng Li, Juan Shu, Lei Fu, Tzung-May Yang, Xin Zhu, Lei |
author_sort | Liu, Song |
collection | PubMed |
description | Maritime trade and associated emissions are dynamic in nature. Although shipping emissions contribute significantly to air quality and climate change, their trade-governed dynamics remain less explored due to the lack of observational evidence. Here, we use satellite measurements to capture the redistribution of shipping nitrogen oxides (NO [Formula: see text]) emissions from Shanghai port, the world’s busiest port, during a natural experiment posted by the localized COVID-19 lockdown in 2022. Viewing the ports as nodes in a network linked by ship journeys, we quantify a lockdown-induced [Formula: see text] 42% reduction in shipping NO [Formula: see text] emissions for Shanghai port. We further identify an emission transfer to its neighboring connected ports, confirmed by comprehensive vessel activity observations. Our study highlights the socioeconomic drivers of shipping emissions, which may add additional layers of complexity to air quality management. |
format | Online Article Text |
id | pubmed-10687330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106873302023-11-30 Observing network effect of shipping emissions from space: A natural experiment in the world’s busiest port Liu, Song Li, Xicheng Li, Juan Shu, Lei Fu, Tzung-May Yang, Xin Zhu, Lei PNAS Nexus Physical Sciences and Engineering Maritime trade and associated emissions are dynamic in nature. Although shipping emissions contribute significantly to air quality and climate change, their trade-governed dynamics remain less explored due to the lack of observational evidence. Here, we use satellite measurements to capture the redistribution of shipping nitrogen oxides (NO [Formula: see text]) emissions from Shanghai port, the world’s busiest port, during a natural experiment posted by the localized COVID-19 lockdown in 2022. Viewing the ports as nodes in a network linked by ship journeys, we quantify a lockdown-induced [Formula: see text] 42% reduction in shipping NO [Formula: see text] emissions for Shanghai port. We further identify an emission transfer to its neighboring connected ports, confirmed by comprehensive vessel activity observations. Our study highlights the socioeconomic drivers of shipping emissions, which may add additional layers of complexity to air quality management. Oxford University Press 2023-11-14 /pmc/articles/PMC10687330/ /pubmed/38034090 http://dx.doi.org/10.1093/pnasnexus/pgad391 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of National Academy of Sciences. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Physical Sciences and Engineering Liu, Song Li, Xicheng Li, Juan Shu, Lei Fu, Tzung-May Yang, Xin Zhu, Lei Observing network effect of shipping emissions from space: A natural experiment in the world’s busiest port |
title | Observing network effect of shipping emissions from space: A natural experiment in the world’s busiest port |
title_full | Observing network effect of shipping emissions from space: A natural experiment in the world’s busiest port |
title_fullStr | Observing network effect of shipping emissions from space: A natural experiment in the world’s busiest port |
title_full_unstemmed | Observing network effect of shipping emissions from space: A natural experiment in the world’s busiest port |
title_short | Observing network effect of shipping emissions from space: A natural experiment in the world’s busiest port |
title_sort | observing network effect of shipping emissions from space: a natural experiment in the world’s busiest port |
topic | Physical Sciences and Engineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687330/ https://www.ncbi.nlm.nih.gov/pubmed/38034090 http://dx.doi.org/10.1093/pnasnexus/pgad391 |
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