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  5. Tracking air quality trends and vehicle traffic dynamics at urban scale using satellite and ground data before and after the COVID-19 outbreak
 
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Tracking air quality trends and vehicle traffic dynamics at urban scale using satellite and ground data before and after the COVID-19 outbreak

Author(s)
De Santis, D  
Amici, Stefania  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia  
Milesi, C  
Muroni, D  
Romanino, A  
Casari, C  
Cannas, Vittorio  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione AC, Roma, Italia  
Del Frate, Fabio  
Language
English
Obiettivo Specifico
OSA2: Evoluzione climatica: effetti e loro mitigazione
Status
Published
JCR Journal
JCR Journal
Journal
Science of The Total Environment  
Issue/vol(year)
/899 (2023)
ISSN
0048-9697
Publisher
Elsevier
Pages (printed)
165464
Date Issued
November 15, 2023
DOI
10.1016/j.scitotenv.2023.165464
URI
https://www.earth-prints.org/handle/2122/17028
Subjects

Atmospheric pollution...

Abstract
The implications of the COVID-19 outbreak are subjected to an increasing number of studies. So far, air quality trends related to the lockdown due to the pandemic have been analysed in large cities or entire regions. In this work, the region studied is the metropolitan area of Cagliari, which is the main city on the island of Sardinia (Italy) and can be representative of a coastal city that includes industrial settlements. The purpose of the study is to evaluate the effect of restrictions related to the COVID-19 outbreak on air quality levels and the traffic dynamics in this type of urban area. Nitrogen Dioxide (NO₂) levels before, during and after COVID-19 lockdown have been investigated using data acquired from the Sentinel-5P/TROPOMI satellite combined with on-site measurements. Both TROPOMI detected and ground-based data have revealed higher levels of NO₂ before and after the lockdown, compared to those during the period of COVID-related restrictions, in particular in the urban area of Cagliari. On the other hand, NO2 registered in the oil refinery area did not show significant differences associated with lockdown. The correlation of TROPOMI NO₂ tropospheric column with ground data (surface NO2) on a monthly mean basis showed different values based on the background and the highest Pearson's coefficient was of about 0.78 near to the city centre, where traffic can be considered a significant source of emission. In addition, a comparison of the air pollution level with the dynamics of vehicle traffic was investigated. The study highlighted a remarkable correlation between the reduction of the number of vehicles and the corresponding tropospheric NO₂ values that decreased on a weekly mean basis.
Type
article
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1-s2.0-S0048969723040871-main.pdf

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Open Access Published Article
Size

7.72 MB

Format

Adobe PDF

Checksum (MD5)

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