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Quantifying diurnal changes in NO(2) due to COVID-19 stay-at-home orders in New York City
INTRODUCTION: Policy responses to the COVID-19 pandemic, such as the NY on Pause stay-at-home order (March 22 – June 8, 2020), substantially reduced traffic and traffic-related air pollution (TRAP) in New York City (NYC). We evaluated the magnitude of TRAP decreases and examined the role of modifyin...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580220/ https://www.ncbi.nlm.nih.gov/pubmed/36926117 http://dx.doi.org/10.1016/j.heha.2022.100032 |
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author | Shearston, Jenni A. Cerna-Turoff, Ilan Hilpert, Markus Kioumourtzoglou, Marianthi-Anna |
author_facet | Shearston, Jenni A. Cerna-Turoff, Ilan Hilpert, Markus Kioumourtzoglou, Marianthi-Anna |
author_sort | Shearston, Jenni A. |
collection | PubMed |
description | INTRODUCTION: Policy responses to the COVID-19 pandemic, such as the NY on Pause stay-at-home order (March 22 – June 8, 2020), substantially reduced traffic and traffic-related air pollution (TRAP) in New York City (NYC). We evaluated the magnitude of TRAP decreases and examined the role of modifying factors such as weekend/weekday, road proximity, location, and time-of-day. METHODS: Hourly nitrogen dioxide (NO(2)) concentrations from January 1, 2018 through June 8, 2020 were obtained from the Environmental Protection Agency's Air Quality System for all six hourly monitors in the NYC area. We used an interrupted time series design to determine the impact of NY on Pause on NO(2) concentrations, using a mixed effects model with random intercepts for monitor location, adjusted for meteorology and long-term trends. We evaluated effect modification through stratification. RESULTS: NO(2) concentrations decreased during NY on Pause by 19% (-3.2 ppb, 95% confidence interval [CI]: -3.5, -3.0), on average, compared to pre-Pause time trends. We found no evidence for modification by weekend/weekday, but greater decreases in NO(2) at non-roadside monitors and weak evidence for modification by location. For time-of-day, we found the largest decreases for 5 am (27%, -4.5 ppb, 95% CI: -5.7, -3.3) through 7 am (24%, -4.0 ppb, 95% CI: -5.2, -2.8), followed by 6 pm and 7 pm (22%, -3.7 ppb, 95% CI: -4.8, -2.6 and 22%, -4.8, -2.5, respectively), while the smallest decreases occurred at 11 pm and 1 am (both: 11%, -1.9 ppb, 95% CI: -3.1, -0.7). CONCLUSION: NY on Pause's impact on TRAP varied greatly diurnally. Decreases during early morning and evening time periods are likely due to decreases in traffic. Our results may be useful for planning traffic policies that vary by time of day, such as congestion tolling policies. |
format | Online Article Text |
id | pubmed-9580220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95802202022-10-19 Quantifying diurnal changes in NO(2) due to COVID-19 stay-at-home orders in New York City Shearston, Jenni A. Cerna-Turoff, Ilan Hilpert, Markus Kioumourtzoglou, Marianthi-Anna Hyg Environ Health Adv Article INTRODUCTION: Policy responses to the COVID-19 pandemic, such as the NY on Pause stay-at-home order (March 22 – June 8, 2020), substantially reduced traffic and traffic-related air pollution (TRAP) in New York City (NYC). We evaluated the magnitude of TRAP decreases and examined the role of modifying factors such as weekend/weekday, road proximity, location, and time-of-day. METHODS: Hourly nitrogen dioxide (NO(2)) concentrations from January 1, 2018 through June 8, 2020 were obtained from the Environmental Protection Agency's Air Quality System for all six hourly monitors in the NYC area. We used an interrupted time series design to determine the impact of NY on Pause on NO(2) concentrations, using a mixed effects model with random intercepts for monitor location, adjusted for meteorology and long-term trends. We evaluated effect modification through stratification. RESULTS: NO(2) concentrations decreased during NY on Pause by 19% (-3.2 ppb, 95% confidence interval [CI]: -3.5, -3.0), on average, compared to pre-Pause time trends. We found no evidence for modification by weekend/weekday, but greater decreases in NO(2) at non-roadside monitors and weak evidence for modification by location. For time-of-day, we found the largest decreases for 5 am (27%, -4.5 ppb, 95% CI: -5.7, -3.3) through 7 am (24%, -4.0 ppb, 95% CI: -5.2, -2.8), followed by 6 pm and 7 pm (22%, -3.7 ppb, 95% CI: -4.8, -2.6 and 22%, -4.8, -2.5, respectively), while the smallest decreases occurred at 11 pm and 1 am (both: 11%, -1.9 ppb, 95% CI: -3.1, -0.7). CONCLUSION: NY on Pause's impact on TRAP varied greatly diurnally. Decreases during early morning and evening time periods are likely due to decreases in traffic. Our results may be useful for planning traffic policies that vary by time of day, such as congestion tolling policies. The Authors. Published by Elsevier B.V. 2022-12 2022-10-19 /pmc/articles/PMC9580220/ /pubmed/36926117 http://dx.doi.org/10.1016/j.heha.2022.100032 Text en © 2022 The Authors 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 Shearston, Jenni A. Cerna-Turoff, Ilan Hilpert, Markus Kioumourtzoglou, Marianthi-Anna Quantifying diurnal changes in NO(2) due to COVID-19 stay-at-home orders in New York City |
title | Quantifying diurnal changes in NO(2) due to COVID-19 stay-at-home orders in New York City |
title_full | Quantifying diurnal changes in NO(2) due to COVID-19 stay-at-home orders in New York City |
title_fullStr | Quantifying diurnal changes in NO(2) due to COVID-19 stay-at-home orders in New York City |
title_full_unstemmed | Quantifying diurnal changes in NO(2) due to COVID-19 stay-at-home orders in New York City |
title_short | Quantifying diurnal changes in NO(2) due to COVID-19 stay-at-home orders in New York City |
title_sort | quantifying diurnal changes in no(2) due to covid-19 stay-at-home orders in new york city |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580220/ https://www.ncbi.nlm.nih.gov/pubmed/36926117 http://dx.doi.org/10.1016/j.heha.2022.100032 |
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