Cargando…
An improved decomposition method to differentiate meteorological and anthropogenic effects on air pollution: A national study in China during the COVID-19 lockdown period
Although the effects of meteorological factors on severe air pollution have been extensively investigated, quantitative decomposition of the contributions of meteorology and anthropogenic factors remains a big challenge. The novel coronavirus disease 2019 (COVID-19) pandemic affords a unique opportu...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760643/ https://www.ncbi.nlm.nih.gov/pubmed/36570689 http://dx.doi.org/10.1016/j.atmosenv.2021.118270 |
_version_ | 1784852521913679872 |
---|---|
author | Song, Yushan Lin, Changqing Li, Ying Lau, Alexis K.H. Fung, Jimmy C.H. Lu, Xingcheng Guo, Cui Ma, Jun Lao, Xiang Qian |
author_facet | Song, Yushan Lin, Changqing Li, Ying Lau, Alexis K.H. Fung, Jimmy C.H. Lu, Xingcheng Guo, Cui Ma, Jun Lao, Xiang Qian |
author_sort | Song, Yushan |
collection | PubMed |
description | Although the effects of meteorological factors on severe air pollution have been extensively investigated, quantitative decomposition of the contributions of meteorology and anthropogenic factors remains a big challenge. The novel coronavirus disease 2019 (COVID-19) pandemic affords a unique opportunity to test decomposition method. Based on a wind decomposition method, this study outlined an improved method to differentiate complex meteorological and anthropogenic effects. The improved method was then applied to investigate the cause of unanticipated haze pollution in China during the COVID-19 lockdown period. Results from the wind decomposition method show that weakened winds increased PM(2.5) concentrations in the Beijing–Tianjin area and northeastern China (e.g., by 3.19 μg/m(3) in Beijing). Using the improved decomposition method, we found that the combined meteorological effect (e.g., drastically elevated humidity levels and weakened airflow) substantially increased PM(2.5) concentrations in northern China: the most substantial increases were in the Beijing–Tianjin–Hebei region (e.g., by 26.79 μg/m(3) in Beijing). On excluding the meteorological effects, PM(2.5) concentrations substantially decreased across China (e.g., by 21.84 μg/m(3) in Beijing), evidencing that the strict restrictions on human activities indeed decreased PM(2.5) concentrations. The unfavorable meteorological conditions, however, overwhelmed the beneficial effects of emission reduction, causing the severe haze pollution. These results indicate that the integrated meteorological effects should be considered to differentiate the meteorological and anthropogenic effects on severe air pollution. |
format | Online Article Text |
id | pubmed-9760643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97606432022-12-19 An improved decomposition method to differentiate meteorological and anthropogenic effects on air pollution: A national study in China during the COVID-19 lockdown period Song, Yushan Lin, Changqing Li, Ying Lau, Alexis K.H. Fung, Jimmy C.H. Lu, Xingcheng Guo, Cui Ma, Jun Lao, Xiang Qian Atmos Environ (1994) Article Although the effects of meteorological factors on severe air pollution have been extensively investigated, quantitative decomposition of the contributions of meteorology and anthropogenic factors remains a big challenge. The novel coronavirus disease 2019 (COVID-19) pandemic affords a unique opportunity to test decomposition method. Based on a wind decomposition method, this study outlined an improved method to differentiate complex meteorological and anthropogenic effects. The improved method was then applied to investigate the cause of unanticipated haze pollution in China during the COVID-19 lockdown period. Results from the wind decomposition method show that weakened winds increased PM(2.5) concentrations in the Beijing–Tianjin area and northeastern China (e.g., by 3.19 μg/m(3) in Beijing). Using the improved decomposition method, we found that the combined meteorological effect (e.g., drastically elevated humidity levels and weakened airflow) substantially increased PM(2.5) concentrations in northern China: the most substantial increases were in the Beijing–Tianjin–Hebei region (e.g., by 26.79 μg/m(3) in Beijing). On excluding the meteorological effects, PM(2.5) concentrations substantially decreased across China (e.g., by 21.84 μg/m(3) in Beijing), evidencing that the strict restrictions on human activities indeed decreased PM(2.5) concentrations. The unfavorable meteorological conditions, however, overwhelmed the beneficial effects of emission reduction, causing the severe haze pollution. These results indicate that the integrated meteorological effects should be considered to differentiate the meteorological and anthropogenic effects on severe air pollution. Elsevier Ltd. 2021-04-01 2021-02-17 /pmc/articles/PMC9760643/ /pubmed/36570689 http://dx.doi.org/10.1016/j.atmosenv.2021.118270 Text en © 2021 Elsevier Ltd. 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 Song, Yushan Lin, Changqing Li, Ying Lau, Alexis K.H. Fung, Jimmy C.H. Lu, Xingcheng Guo, Cui Ma, Jun Lao, Xiang Qian An improved decomposition method to differentiate meteorological and anthropogenic effects on air pollution: A national study in China during the COVID-19 lockdown period |
title | An improved decomposition method to differentiate meteorological and anthropogenic effects on air pollution: A national study in China during the COVID-19 lockdown period |
title_full | An improved decomposition method to differentiate meteorological and anthropogenic effects on air pollution: A national study in China during the COVID-19 lockdown period |
title_fullStr | An improved decomposition method to differentiate meteorological and anthropogenic effects on air pollution: A national study in China during the COVID-19 lockdown period |
title_full_unstemmed | An improved decomposition method to differentiate meteorological and anthropogenic effects on air pollution: A national study in China during the COVID-19 lockdown period |
title_short | An improved decomposition method to differentiate meteorological and anthropogenic effects on air pollution: A national study in China during the COVID-19 lockdown period |
title_sort | improved decomposition method to differentiate meteorological and anthropogenic effects on air pollution: a national study in china during the covid-19 lockdown period |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760643/ https://www.ncbi.nlm.nih.gov/pubmed/36570689 http://dx.doi.org/10.1016/j.atmosenv.2021.118270 |
work_keys_str_mv | AT songyushan animproveddecompositionmethodtodifferentiatemeteorologicalandanthropogeniceffectsonairpollutionanationalstudyinchinaduringthecovid19lockdownperiod AT linchangqing animproveddecompositionmethodtodifferentiatemeteorologicalandanthropogeniceffectsonairpollutionanationalstudyinchinaduringthecovid19lockdownperiod AT liying animproveddecompositionmethodtodifferentiatemeteorologicalandanthropogeniceffectsonairpollutionanationalstudyinchinaduringthecovid19lockdownperiod AT laualexiskh animproveddecompositionmethodtodifferentiatemeteorologicalandanthropogeniceffectsonairpollutionanationalstudyinchinaduringthecovid19lockdownperiod AT fungjimmych animproveddecompositionmethodtodifferentiatemeteorologicalandanthropogeniceffectsonairpollutionanationalstudyinchinaduringthecovid19lockdownperiod AT luxingcheng animproveddecompositionmethodtodifferentiatemeteorologicalandanthropogeniceffectsonairpollutionanationalstudyinchinaduringthecovid19lockdownperiod AT guocui animproveddecompositionmethodtodifferentiatemeteorologicalandanthropogeniceffectsonairpollutionanationalstudyinchinaduringthecovid19lockdownperiod AT majun animproveddecompositionmethodtodifferentiatemeteorologicalandanthropogeniceffectsonairpollutionanationalstudyinchinaduringthecovid19lockdownperiod AT laoxiangqian animproveddecompositionmethodtodifferentiatemeteorologicalandanthropogeniceffectsonairpollutionanationalstudyinchinaduringthecovid19lockdownperiod AT songyushan improveddecompositionmethodtodifferentiatemeteorologicalandanthropogeniceffectsonairpollutionanationalstudyinchinaduringthecovid19lockdownperiod AT linchangqing improveddecompositionmethodtodifferentiatemeteorologicalandanthropogeniceffectsonairpollutionanationalstudyinchinaduringthecovid19lockdownperiod AT liying improveddecompositionmethodtodifferentiatemeteorologicalandanthropogeniceffectsonairpollutionanationalstudyinchinaduringthecovid19lockdownperiod AT laualexiskh improveddecompositionmethodtodifferentiatemeteorologicalandanthropogeniceffectsonairpollutionanationalstudyinchinaduringthecovid19lockdownperiod AT fungjimmych improveddecompositionmethodtodifferentiatemeteorologicalandanthropogeniceffectsonairpollutionanationalstudyinchinaduringthecovid19lockdownperiod AT luxingcheng improveddecompositionmethodtodifferentiatemeteorologicalandanthropogeniceffectsonairpollutionanationalstudyinchinaduringthecovid19lockdownperiod AT guocui improveddecompositionmethodtodifferentiatemeteorologicalandanthropogeniceffectsonairpollutionanationalstudyinchinaduringthecovid19lockdownperiod AT majun improveddecompositionmethodtodifferentiatemeteorologicalandanthropogeniceffectsonairpollutionanationalstudyinchinaduringthecovid19lockdownperiod AT laoxiangqian improveddecompositionmethodtodifferentiatemeteorologicalandanthropogeniceffectsonairpollutionanationalstudyinchinaduringthecovid19lockdownperiod |