Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/91071
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Land Surveying and Geo-Informatics | - |
dc.contributor | Research Institute for Sustainable Urban Development | - |
dc.creator | Wong, MS | - |
dc.creator | Zhu, R | - |
dc.creator | Kwok, CYT | - |
dc.creator | Kwan, MP | - |
dc.creator | Santi, P | - |
dc.creator | Liu, CH | - |
dc.creator | Qin, K | - |
dc.creator | Lee, KH | - |
dc.creator | Heo, J | - |
dc.creator | Li, H | - |
dc.creator | Ratti, C | - |
dc.date.accessioned | 2021-09-09T03:39:26Z | - |
dc.date.available | 2021-09-09T03:39:26Z | - |
dc.identifier.issn | 1748-9318 | - |
dc.identifier.uri | http://hdl.handle.net/10397/91071 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Physics Publishing | en_US |
dc.rights | © 2021 The Author(s). Published by IOP Publishing Ltd | en_US |
dc.rights | Original Content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence (https://creativecommons.org/licenses/by-nc/4.0/). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. | en_US |
dc.rights | The following publication Man Sing Wong and Rui Zhu and Coco Yin Tung Kwok and Mei-Po Kwan and Paolo Santi and Chun Ho Liu and Kai Qin and Kwon Ho Lee and Joon Heo and Hon Li and Carlo Ratti (2021 May). Association between {NO}2 concentrations and spatial configuration: a study of the impacts of {COVID}-19 lockdowns in 54 {US} cities. Environmental Research Letters, 16(5), 054064 is available at https://doi.org/10.1088/1748-9326/abf396 | en_US |
dc.subject | NO2 | en_US |
dc.subject | Air quality | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | Lockdowns | en_US |
dc.subject | Urban mobility | en_US |
dc.title | Association between no2 concentrations and spatial configuration : a study of the impacts of COVID-19 lockdowns in 54 US cities | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 16 | - |
dc.identifier.issue | 5 | - |
dc.identifier.doi | 10.1088/1748-9326/abf396 | - |
dcterms.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. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Environmental research letters, 2021, v. 16, no. 5, 54064 | - |
dcterms.isPartOf | Environmental research letters | - |
dcterms.issued | 2021 | - |
dc.identifier.isi | WOS:000649095600001 | - |
dc.identifier.eissn | 1748-9326 | - |
dc.identifier.artn | 54064 | - |
dc.description.validate | 202109 bchy | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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Wong_Association_between_no2.pdf | 4.2 MB | Adobe PDF | View/Open |
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