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Improvements in air quality in the Netherlands during the corona lockdown based on observations and model simulations
The lockdown measures in response to the SARS-CoV-2 virus outbreak in 2020 have resulted in reductions in emissions of air pollutants and corresponding ambient concentrations. In the Netherlands, the most stringent lockdown measures were in effect from March to May 2020. These measures coincided wit...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759808/ https://www.ncbi.nlm.nih.gov/pubmed/36569605 http://dx.doi.org/10.1016/j.atmosenv.2020.118158 |
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author | Velders, Guus J.M. Willers, Saskia M. Wesseling, Joost den Elshout, Sef van van der Swaluw, Eric Mooibroek, Dennis van Ratingen, Sjoerd |
author_facet | Velders, Guus J.M. Willers, Saskia M. Wesseling, Joost den Elshout, Sef van van der Swaluw, Eric Mooibroek, Dennis van Ratingen, Sjoerd |
author_sort | Velders, Guus J.M. |
collection | PubMed |
description | The lockdown measures in response to the SARS-CoV-2 virus outbreak in 2020 have resulted in reductions in emissions of air pollutants and corresponding ambient concentrations. In the Netherlands, the most stringent lockdown measures were in effect from March to May 2020. These measures coincided with a period of unusual meteorological conditions with wind from the north-east and clear-sky conditions, which complicates the quantification of the effect of the lockdown measures on the air quality. Here we quantify the lockdown effects on the concentrations of nitrogen oxides (NO(x) and NO(2)), particulate matter (PM(10) and PM(2.5)) and ozone (O(3)) in the Netherlands, by analyzing observations and simulations with the atmospheric chemistry-transport model EMEP/MSC-W in its EMEP4NL configuration, after eliminating the effects of meteorological conditions during the lockdown. Based on statistical analyses with a Random Forest method, we estimate that the lockdown reduced observed NO(2) concentrations by 30% (95% confidence interval 25–35%), 26% (21–32%), and 18% (10–25%) for traffic, urban, and rural background locations, respectively. Slightly smaller reductions of 8–28% are found with the EMEP4NL simulations for urban and regional background locations based on estimates in reductions in economic activity and emissions of traffic and industry in the Netherlands and other European countries. Reductions in observed PM(2.5) concentrations of about 20% (10–25%) are found for all locations, which is somewhat larger than the estimates of 5–16% based on the model simulations. A comparison of the calculated NO(2) traffic contributions with observations shows a substantial drop of about 35% in traffic contributions during the lockdown period, which is similar to the estimated reductions in mobility data as reported by Apple and Google. Since the largest health effects related to air pollution in the Netherlands are associated with exposure to PM(10) and PM(2.5), the lockdown measures in spring of 2020 have temporarily improved the air quality in the Netherlands. The concentrations of the most health relevant compounds have only been reduced by about 10–25%. |
format | Online Article Text |
id | pubmed-9759808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97598082022-12-19 Improvements in air quality in the Netherlands during the corona lockdown based on observations and model simulations Velders, Guus J.M. Willers, Saskia M. Wesseling, Joost den Elshout, Sef van van der Swaluw, Eric Mooibroek, Dennis van Ratingen, Sjoerd Atmos Environ (1994) Article The lockdown measures in response to the SARS-CoV-2 virus outbreak in 2020 have resulted in reductions in emissions of air pollutants and corresponding ambient concentrations. In the Netherlands, the most stringent lockdown measures were in effect from March to May 2020. These measures coincided with a period of unusual meteorological conditions with wind from the north-east and clear-sky conditions, which complicates the quantification of the effect of the lockdown measures on the air quality. Here we quantify the lockdown effects on the concentrations of nitrogen oxides (NO(x) and NO(2)), particulate matter (PM(10) and PM(2.5)) and ozone (O(3)) in the Netherlands, by analyzing observations and simulations with the atmospheric chemistry-transport model EMEP/MSC-W in its EMEP4NL configuration, after eliminating the effects of meteorological conditions during the lockdown. Based on statistical analyses with a Random Forest method, we estimate that the lockdown reduced observed NO(2) concentrations by 30% (95% confidence interval 25–35%), 26% (21–32%), and 18% (10–25%) for traffic, urban, and rural background locations, respectively. Slightly smaller reductions of 8–28% are found with the EMEP4NL simulations for urban and regional background locations based on estimates in reductions in economic activity and emissions of traffic and industry in the Netherlands and other European countries. Reductions in observed PM(2.5) concentrations of about 20% (10–25%) are found for all locations, which is somewhat larger than the estimates of 5–16% based on the model simulations. A comparison of the calculated NO(2) traffic contributions with observations shows a substantial drop of about 35% in traffic contributions during the lockdown period, which is similar to the estimated reductions in mobility data as reported by Apple and Google. Since the largest health effects related to air pollution in the Netherlands are associated with exposure to PM(10) and PM(2.5), the lockdown measures in spring of 2020 have temporarily improved the air quality in the Netherlands. The concentrations of the most health relevant compounds have only been reduced by about 10–25%. Elsevier Ltd. 2021-02-15 2021-01-09 /pmc/articles/PMC9759808/ /pubmed/36569605 http://dx.doi.org/10.1016/j.atmosenv.2020.118158 Text en © 2020 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 Velders, Guus J.M. Willers, Saskia M. Wesseling, Joost den Elshout, Sef van van der Swaluw, Eric Mooibroek, Dennis van Ratingen, Sjoerd Improvements in air quality in the Netherlands during the corona lockdown based on observations and model simulations |
title | Improvements in air quality in the Netherlands during the corona lockdown based on observations and model simulations |
title_full | Improvements in air quality in the Netherlands during the corona lockdown based on observations and model simulations |
title_fullStr | Improvements in air quality in the Netherlands during the corona lockdown based on observations and model simulations |
title_full_unstemmed | Improvements in air quality in the Netherlands during the corona lockdown based on observations and model simulations |
title_short | Improvements in air quality in the Netherlands during the corona lockdown based on observations and model simulations |
title_sort | improvements in air quality in the netherlands during the corona lockdown based on observations and model simulations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759808/ https://www.ncbi.nlm.nih.gov/pubmed/36569605 http://dx.doi.org/10.1016/j.atmosenv.2020.118158 |
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