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Air pollution rebound and different recovery modes during the period of easing COVID-19 restrictions
Although COVID-19 lockdown policies have improved air quality in numerous countries, there is a lack of empirical evidence on the extent to which recovery has resulted in air pollution rebound, and the differences and similarities among regions' recovery modes during the period of easing COVID-...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222490/ https://www.ncbi.nlm.nih.gov/pubmed/35753487 http://dx.doi.org/10.1016/j.scitotenv.2022.156942 |
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author | Dong, Xinyang Zheng, Xinzhu Wang, Can Zeng, Jinghai Zhang, Lixiao |
author_facet | Dong, Xinyang Zheng, Xinzhu Wang, Can Zeng, Jinghai Zhang, Lixiao |
author_sort | Dong, Xinyang |
collection | PubMed |
description | Although COVID-19 lockdown policies have improved air quality in numerous countries, there is a lack of empirical evidence on the extent to which recovery has resulted in air pollution rebound, and the differences and similarities among regions' recovery modes during the period of easing COVID-19 restrictions. Here, we used daily air quality data and the recovery index constructed by a city-pair inflow index for 119 cities in China to quantify the impact of recovery on air pollution from March 2 to October 30, 2020. Findings show that recovery has significantly increased air pollution. When the recovery level increased by 10 %, the concentration of PM(2.5), SO(2), and NO(2) respectively deteriorated by 1.10, 0.33, 1.25 μg/m(3), and the average growth rates of three air pollutants were about 3 %–6 %. Moreover, we used the counterfactual framework and time series clustering with wavelet transform to cluster the rebound trajectory of air pollution for 17 provinces into five recovery modes. Results show that COVID-19 has further intensified regional differentiations in economic development ability and green recovery trend. Three northwestern provinces dependent on their resource endowments belong to energy-intensive recovery mode, which have experienced a sharp rebound of air pollution for two months, thereby making green recovery more challenging to achieve. Three regions with a diversified industrial structure are in industrial-restructuring recovery mode, which has effectively returned to a normal level through adjusting industrial structure and technological innovation. Owing to local policies and the outbreak of COVID-19 in other countries, six provinces in policy-oriented and international trade-oriented recovery modes have not fully recovered to the level without COVID-19 until October 2020. The result highlights the importance of diversifying industrial structure, technological innovation, policy flexibility and industrial upgrading for different recovery modes to achieve long-term green recovery in the future. |
format | Online Article Text |
id | pubmed-9222490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92224902022-06-24 Air pollution rebound and different recovery modes during the period of easing COVID-19 restrictions Dong, Xinyang Zheng, Xinzhu Wang, Can Zeng, Jinghai Zhang, Lixiao Sci Total Environ Article Although COVID-19 lockdown policies have improved air quality in numerous countries, there is a lack of empirical evidence on the extent to which recovery has resulted in air pollution rebound, and the differences and similarities among regions' recovery modes during the period of easing COVID-19 restrictions. Here, we used daily air quality data and the recovery index constructed by a city-pair inflow index for 119 cities in China to quantify the impact of recovery on air pollution from March 2 to October 30, 2020. Findings show that recovery has significantly increased air pollution. When the recovery level increased by 10 %, the concentration of PM(2.5), SO(2), and NO(2) respectively deteriorated by 1.10, 0.33, 1.25 μg/m(3), and the average growth rates of three air pollutants were about 3 %–6 %. Moreover, we used the counterfactual framework and time series clustering with wavelet transform to cluster the rebound trajectory of air pollution for 17 provinces into five recovery modes. Results show that COVID-19 has further intensified regional differentiations in economic development ability and green recovery trend. Three northwestern provinces dependent on their resource endowments belong to energy-intensive recovery mode, which have experienced a sharp rebound of air pollution for two months, thereby making green recovery more challenging to achieve. Three regions with a diversified industrial structure are in industrial-restructuring recovery mode, which has effectively returned to a normal level through adjusting industrial structure and technological innovation. Owing to local policies and the outbreak of COVID-19 in other countries, six provinces in policy-oriented and international trade-oriented recovery modes have not fully recovered to the level without COVID-19 until October 2020. The result highlights the importance of diversifying industrial structure, technological innovation, policy flexibility and industrial upgrading for different recovery modes to achieve long-term green recovery in the future. Elsevier B.V. 2022-10-15 2022-06-23 /pmc/articles/PMC9222490/ /pubmed/35753487 http://dx.doi.org/10.1016/j.scitotenv.2022.156942 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Dong, Xinyang Zheng, Xinzhu Wang, Can Zeng, Jinghai Zhang, Lixiao Air pollution rebound and different recovery modes during the period of easing COVID-19 restrictions |
title | Air pollution rebound and different recovery modes during the period of easing COVID-19 restrictions |
title_full | Air pollution rebound and different recovery modes during the period of easing COVID-19 restrictions |
title_fullStr | Air pollution rebound and different recovery modes during the period of easing COVID-19 restrictions |
title_full_unstemmed | Air pollution rebound and different recovery modes during the period of easing COVID-19 restrictions |
title_short | Air pollution rebound and different recovery modes during the period of easing COVID-19 restrictions |
title_sort | air pollution rebound and different recovery modes during the period of easing covid-19 restrictions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222490/ https://www.ncbi.nlm.nih.gov/pubmed/35753487 http://dx.doi.org/10.1016/j.scitotenv.2022.156942 |
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