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Technical note: Understanding the effect of COVID-19 on particle pollution using a low-cost sensor network

The 2020 coronavirus pandemic and the following quarantine measures have led to significant changes in daily life worldwide. Preliminary research indicates that air quality has improved in many urban areas as a result of these measures. This study takes a neighborhood-scale approach to quantifying t...

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Autores principales: Chadwick, E., Le, K., Pei, Z., Sayahi, T., Rapp, C., Butterfield, A.E., Kelly, K.E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8054662/
https://www.ncbi.nlm.nih.gov/pubmed/33897001
http://dx.doi.org/10.1016/j.jaerosci.2021.105766
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author Chadwick, E.
Le, K.
Pei, Z.
Sayahi, T.
Rapp, C.
Butterfield, A.E.
Kelly, K.E.
author_facet Chadwick, E.
Le, K.
Pei, Z.
Sayahi, T.
Rapp, C.
Butterfield, A.E.
Kelly, K.E.
author_sort Chadwick, E.
collection PubMed
description The 2020 coronavirus pandemic and the following quarantine measures have led to significant changes in daily life worldwide. Preliminary research indicates that air quality has improved in many urban areas as a result of these measures. This study takes a neighborhood-scale approach to quantifying this change in pollution. Using data from a network of citizen-hosted, low-cost particulate matter (PM) sensors, called Air Quality & yoU (AQ&U), we obtained high-spatial resolution measurements compared to the relatively sparse state monitoring stations. We compared monthly average estimated PM(2.5) concentrations from February 11 to May 11, 2019 at 71 unique locations in Salt Lake County, UT, USA with the same (71) sensors’ measurements during the same timeframe in 2020. A paired t-test showed significant reductions (71.1% and 21.3%) in estimated monthly PM(2.5) concentrations from 2019 to 2020 for the periods from March 11-April 10 and April 11-May 10, respectively. The March time period corresponded to the most stringent COVID-19 related restrictions in this region. Significant decreases in PM(2.5) were also reported by state monitoring sites during March (p < 0.001 compared to the previous 5-year average). While we observed decreases in PM(2.5) concentrations across the valley in 2020, it is important to note that the PM(2.5) concentrations did not improve equally in all locations. We observed the greatest reductions at lower elevation, more urbanized areas, likely because of the already low levels of PM(2.5) at the higher elevation, more residential areas, which were generally below 2 μg/m(3) in both 2019 and 2020. Although many of measurements during March and April were near or below the estimated detection limit of the low-cost PM sensors and the federal equivalent measurements, every low-cost sensor (51) showed a reduction in PM(2.5) concentration in March of 2020 compared to 2019. These results suggest that the air quality improvement seen after March 11, 2020 is due to quarantine measures reducing traffic and decreasing pollutant emissions in the region.
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spelling pubmed-80546622021-04-20 Technical note: Understanding the effect of COVID-19 on particle pollution using a low-cost sensor network Chadwick, E. Le, K. Pei, Z. Sayahi, T. Rapp, C. Butterfield, A.E. Kelly, K.E. J Aerosol Sci Article The 2020 coronavirus pandemic and the following quarantine measures have led to significant changes in daily life worldwide. Preliminary research indicates that air quality has improved in many urban areas as a result of these measures. This study takes a neighborhood-scale approach to quantifying this change in pollution. Using data from a network of citizen-hosted, low-cost particulate matter (PM) sensors, called Air Quality & yoU (AQ&U), we obtained high-spatial resolution measurements compared to the relatively sparse state monitoring stations. We compared monthly average estimated PM(2.5) concentrations from February 11 to May 11, 2019 at 71 unique locations in Salt Lake County, UT, USA with the same (71) sensors’ measurements during the same timeframe in 2020. A paired t-test showed significant reductions (71.1% and 21.3%) in estimated monthly PM(2.5) concentrations from 2019 to 2020 for the periods from March 11-April 10 and April 11-May 10, respectively. The March time period corresponded to the most stringent COVID-19 related restrictions in this region. Significant decreases in PM(2.5) were also reported by state monitoring sites during March (p < 0.001 compared to the previous 5-year average). While we observed decreases in PM(2.5) concentrations across the valley in 2020, it is important to note that the PM(2.5) concentrations did not improve equally in all locations. We observed the greatest reductions at lower elevation, more urbanized areas, likely because of the already low levels of PM(2.5) at the higher elevation, more residential areas, which were generally below 2 μg/m(3) in both 2019 and 2020. Although many of measurements during March and April were near or below the estimated detection limit of the low-cost PM sensors and the federal equivalent measurements, every low-cost sensor (51) showed a reduction in PM(2.5) concentration in March of 2020 compared to 2019. These results suggest that the air quality improvement seen after March 11, 2020 is due to quarantine measures reducing traffic and decreasing pollutant emissions in the region. Elsevier Ltd. 2021-06 2021-02-05 /pmc/articles/PMC8054662/ /pubmed/33897001 http://dx.doi.org/10.1016/j.jaerosci.2021.105766 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
Chadwick, E.
Le, K.
Pei, Z.
Sayahi, T.
Rapp, C.
Butterfield, A.E.
Kelly, K.E.
Technical note: Understanding the effect of COVID-19 on particle pollution using a low-cost sensor network
title Technical note: Understanding the effect of COVID-19 on particle pollution using a low-cost sensor network
title_full Technical note: Understanding the effect of COVID-19 on particle pollution using a low-cost sensor network
title_fullStr Technical note: Understanding the effect of COVID-19 on particle pollution using a low-cost sensor network
title_full_unstemmed Technical note: Understanding the effect of COVID-19 on particle pollution using a low-cost sensor network
title_short Technical note: Understanding the effect of COVID-19 on particle pollution using a low-cost sensor network
title_sort technical note: understanding the effect of covid-19 on particle pollution using a low-cost sensor network
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8054662/
https://www.ncbi.nlm.nih.gov/pubmed/33897001
http://dx.doi.org/10.1016/j.jaerosci.2021.105766
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