Association between NO2concentrations and spatial configuration: A study of the impacts of COVID-19 lockdowns in 54 US cities

Man Sing Wong, Rui Zhu, Coco Yin Tung Kwok, Mei Po Kwan, Paolo Santi, Chun Ho Liu, Kai Qin, Kwon Ho Lee, Joon Heo, Hon Li, Carlo Ratti

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

The massive lockdown of global cities during the COVID-19 pandemic is substantially improving the atmospheric environment, which for the first time, urban mobility is virtually reduced to zero, and it is then possible to establish a baseline for air quality. By comparing these values with pre-COVID-19 data, it is possible to infer the likely effect of urban mobility and spatial configuration on the air quality. In the present study, a time-series prediction model is enhanced to estimate the nationwide NO2 concentrations before and during the lockdown measures in the United States, and 54 cities are included in the study. The prediction generates a notable NO2 difference between the observations if the lockdown is not considered, and the changes in urban mobility can explain the difference. It is found that the changes in urban mobility associated with various road textures have a significant impact on NO2 dispersion in different types of climates.

Original languageEnglish
Article number054064
JournalEnvironmental Research Letters
Volume16
Issue number5
DOIs
Publication statusPublished - 2021 May

Bibliographical note

Publisher Copyright:
© 2021 The Author(s). Published by IOP Publishing Ltd.

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • General Environmental Science
  • Public Health, Environmental and Occupational Health

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