Cargando…

COVID-2019 lockdown in Beijing: A rare opportunity to analyze the contribution rate of road traffic to air pollutants

In Beijing, the lockdown imposed to curb the spread of COVID-2019 has led to a sharp drop in road traffic. This provides an opportunity to quantify the contribution rate of road traffic to PM2.5 and NO(2) concentrations. This paper creatively puts forward the concept of the Maximum Possible Contribu...

Descripción completa

Detalles Bibliográficos
Autores principales: Xin, Yalu, Shao, Shuangquan, Wang, Zhichao, Xu, Zhaowei, Li, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490182/
https://www.ncbi.nlm.nih.gov/pubmed/34631394
http://dx.doi.org/10.1016/j.scs.2021.102989
_version_ 1784578476082200576
author Xin, Yalu
Shao, Shuangquan
Wang, Zhichao
Xu, Zhaowei
Li, Hao
author_facet Xin, Yalu
Shao, Shuangquan
Wang, Zhichao
Xu, Zhaowei
Li, Hao
author_sort Xin, Yalu
collection PubMed
description In Beijing, the lockdown imposed to curb the spread of COVID-2019 has led to a sharp drop in road traffic. This provides an opportunity to quantify the contribution rate of road traffic to PM2.5 and NO(2) concentrations. This paper creatively puts forward the concept of the Maximum Possible Contribution Rate (MPCR) and estimates the MPCR of road traffic to PM2.5 and NO(2) by analyzing the daily air pollution data and road traffic data in Beijing from January 24 to March 31, 2020 and the same period in 2019. The findings of this paper include: The decrease in SO(2) concentration during the lockdown indicates a reduction in pollutant emissions from industry and households. During the lockdown, road traffic in Beijing reduced by 46.9 %, while the concentrations of PM2.5 and NO(2) in the atmosphere reduced by 5.6 % and 29.2 % respectively. The MPCR of road traffic to PM2.5 and NO(2) concentrations are 11.9 % and 62.3 %, respectively. The concentration of O(3) did not increase significantly with the decrease of PM2.5 and NO(2) concentrations. The findings of this paper provide a reference for city managers to evaluate the contribution rate of Beijing’s road traffic to air pollutants and to formulate reasonable emission reduction policies.
format Online
Article
Text
id pubmed-8490182
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Published by Elsevier Ltd.
record_format MEDLINE/PubMed
spelling pubmed-84901822021-10-05 COVID-2019 lockdown in Beijing: A rare opportunity to analyze the contribution rate of road traffic to air pollutants Xin, Yalu Shao, Shuangquan Wang, Zhichao Xu, Zhaowei Li, Hao Sustain Cities Soc Article In Beijing, the lockdown imposed to curb the spread of COVID-2019 has led to a sharp drop in road traffic. This provides an opportunity to quantify the contribution rate of road traffic to PM2.5 and NO(2) concentrations. This paper creatively puts forward the concept of the Maximum Possible Contribution Rate (MPCR) and estimates the MPCR of road traffic to PM2.5 and NO(2) by analyzing the daily air pollution data and road traffic data in Beijing from January 24 to March 31, 2020 and the same period in 2019. The findings of this paper include: The decrease in SO(2) concentration during the lockdown indicates a reduction in pollutant emissions from industry and households. During the lockdown, road traffic in Beijing reduced by 46.9 %, while the concentrations of PM2.5 and NO(2) in the atmosphere reduced by 5.6 % and 29.2 % respectively. The MPCR of road traffic to PM2.5 and NO(2) concentrations are 11.9 % and 62.3 %, respectively. The concentration of O(3) did not increase significantly with the decrease of PM2.5 and NO(2) concentrations. The findings of this paper provide a reference for city managers to evaluate the contribution rate of Beijing’s road traffic to air pollutants and to formulate reasonable emission reduction policies. Published by Elsevier Ltd. 2021-12 2021-05-02 /pmc/articles/PMC8490182/ /pubmed/34631394 http://dx.doi.org/10.1016/j.scs.2021.102989 Text en © 2021 Published by Elsevier Ltd. 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
Xin, Yalu
Shao, Shuangquan
Wang, Zhichao
Xu, Zhaowei
Li, Hao
COVID-2019 lockdown in Beijing: A rare opportunity to analyze the contribution rate of road traffic to air pollutants
title COVID-2019 lockdown in Beijing: A rare opportunity to analyze the contribution rate of road traffic to air pollutants
title_full COVID-2019 lockdown in Beijing: A rare opportunity to analyze the contribution rate of road traffic to air pollutants
title_fullStr COVID-2019 lockdown in Beijing: A rare opportunity to analyze the contribution rate of road traffic to air pollutants
title_full_unstemmed COVID-2019 lockdown in Beijing: A rare opportunity to analyze the contribution rate of road traffic to air pollutants
title_short COVID-2019 lockdown in Beijing: A rare opportunity to analyze the contribution rate of road traffic to air pollutants
title_sort covid-2019 lockdown in beijing: a rare opportunity to analyze the contribution rate of road traffic to air pollutants
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490182/
https://www.ncbi.nlm.nih.gov/pubmed/34631394
http://dx.doi.org/10.1016/j.scs.2021.102989
work_keys_str_mv AT xinyalu covid2019lockdowninbeijingarareopportunitytoanalyzethecontributionrateofroadtraffictoairpollutants
AT shaoshuangquan covid2019lockdowninbeijingarareopportunitytoanalyzethecontributionrateofroadtraffictoairpollutants
AT wangzhichao covid2019lockdowninbeijingarareopportunitytoanalyzethecontributionrateofroadtraffictoairpollutants
AT xuzhaowei covid2019lockdowninbeijingarareopportunitytoanalyzethecontributionrateofroadtraffictoairpollutants
AT lihao covid2019lockdowninbeijingarareopportunitytoanalyzethecontributionrateofroadtraffictoairpollutants