Cargando…
Analysis of Factors Influencing Air Quality in Different Periods during COVID-19: A Case Study of Tangshan, China
This study aimed to analyze the main factors influencing air quality in Tangshan during COVID-19, covering three different periods: the COVID-19 period, the Level I response period, and the Spring Festival period. Comparative analysis and the difference-in-differences (DID) method were used to explo...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002059/ https://www.ncbi.nlm.nih.gov/pubmed/36901210 http://dx.doi.org/10.3390/ijerph20054199 |
_version_ | 1784904297409937408 |
---|---|
author | Wu, Wen-Lu Shan, Chun-Yan Liu, Jing Zhao, Jing-Lin Long, Jin-Yun |
author_facet | Wu, Wen-Lu Shan, Chun-Yan Liu, Jing Zhao, Jing-Lin Long, Jin-Yun |
author_sort | Wu, Wen-Lu |
collection | PubMed |
description | This study aimed to analyze the main factors influencing air quality in Tangshan during COVID-19, covering three different periods: the COVID-19 period, the Level I response period, and the Spring Festival period. Comparative analysis and the difference-in-differences (DID) method were used to explore differences in air quality between different stages of the epidemic and different years. During the COVID-19 period, the air quality index (AQI) and the concentrations of six conventional air pollutants (PM(2.5), PM(10), SO(2), NO(2), CO, and O(3)-8h) decreased significantly compared to 2017–2019. For the Level I response period, the reduction in AQI caused by COVID-19 control measures were 29.07%, 31.43%, and 20.04% in February, March, and April of 2020, respectively. During the Spring Festival, the concentrations of the six pollutants were significantly higher than those in 2019 and 2021, which may be related to heavy pollution events caused by unfavorable meteorological conditions and regional transport. As for the further improvement in air quality, it is necessary to take strict measures to prevent and control air pollution while paying attention to meteorological factors. |
format | Online Article Text |
id | pubmed-10002059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100020592023-03-11 Analysis of Factors Influencing Air Quality in Different Periods during COVID-19: A Case Study of Tangshan, China Wu, Wen-Lu Shan, Chun-Yan Liu, Jing Zhao, Jing-Lin Long, Jin-Yun Int J Environ Res Public Health Article This study aimed to analyze the main factors influencing air quality in Tangshan during COVID-19, covering three different periods: the COVID-19 period, the Level I response period, and the Spring Festival period. Comparative analysis and the difference-in-differences (DID) method were used to explore differences in air quality between different stages of the epidemic and different years. During the COVID-19 period, the air quality index (AQI) and the concentrations of six conventional air pollutants (PM(2.5), PM(10), SO(2), NO(2), CO, and O(3)-8h) decreased significantly compared to 2017–2019. For the Level I response period, the reduction in AQI caused by COVID-19 control measures were 29.07%, 31.43%, and 20.04% in February, March, and April of 2020, respectively. During the Spring Festival, the concentrations of the six pollutants were significantly higher than those in 2019 and 2021, which may be related to heavy pollution events caused by unfavorable meteorological conditions and regional transport. As for the further improvement in air quality, it is necessary to take strict measures to prevent and control air pollution while paying attention to meteorological factors. MDPI 2023-02-26 /pmc/articles/PMC10002059/ /pubmed/36901210 http://dx.doi.org/10.3390/ijerph20054199 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wu, Wen-Lu Shan, Chun-Yan Liu, Jing Zhao, Jing-Lin Long, Jin-Yun Analysis of Factors Influencing Air Quality in Different Periods during COVID-19: A Case Study of Tangshan, China |
title | Analysis of Factors Influencing Air Quality in Different Periods during COVID-19: A Case Study of Tangshan, China |
title_full | Analysis of Factors Influencing Air Quality in Different Periods during COVID-19: A Case Study of Tangshan, China |
title_fullStr | Analysis of Factors Influencing Air Quality in Different Periods during COVID-19: A Case Study of Tangshan, China |
title_full_unstemmed | Analysis of Factors Influencing Air Quality in Different Periods during COVID-19: A Case Study of Tangshan, China |
title_short | Analysis of Factors Influencing Air Quality in Different Periods during COVID-19: A Case Study of Tangshan, China |
title_sort | analysis of factors influencing air quality in different periods during covid-19: a case study of tangshan, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002059/ https://www.ncbi.nlm.nih.gov/pubmed/36901210 http://dx.doi.org/10.3390/ijerph20054199 |
work_keys_str_mv | AT wuwenlu analysisoffactorsinfluencingairqualityindifferentperiodsduringcovid19acasestudyoftangshanchina AT shanchunyan analysisoffactorsinfluencingairqualityindifferentperiodsduringcovid19acasestudyoftangshanchina AT liujing analysisoffactorsinfluencingairqualityindifferentperiodsduringcovid19acasestudyoftangshanchina AT zhaojinglin analysisoffactorsinfluencingairqualityindifferentperiodsduringcovid19acasestudyoftangshanchina AT longjinyun analysisoffactorsinfluencingairqualityindifferentperiodsduringcovid19acasestudyoftangshanchina |