Data-driven analysis of transport and weather impact on urban air quality

Many cities face low air quality. To better predict the exceedance of air quality limits, the traffic’s contribution to air pollution was analysed in this paper. Several studies used a twin site approach to determine the impact of urban traffic; however, it requires the deployment of stations at var...

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Main Author: Bálint Csonka
Format: Article
Language:English
Published: Széchenyi István University 2023-06-01
Series:Acta Technica Jaurinensis
Subjects:
Online Access:https://acta.sze.hu/index.php/acta/article/view/698
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author Bálint Csonka
author_facet Bálint Csonka
author_sort Bálint Csonka
collection DOAJ
description Many cities face low air quality. To better predict the exceedance of air quality limits, the traffic’s contribution to air pollution was analysed in this paper. Several studies used a twin site approach to determine the impact of urban traffic; however, it requires the deployment of stations at various locations. A time variant analysis to determine traffic’s contribution and regression analysis were applied to determine the weather’s impact. The results were validated using actual traffic data. It was found that the traffic’s contributions to CO and NO2 were 22 and 30%. It was noted that the seasonal fluctuation of NO2 is significantly influenced by precipitation. Long-term trends of pollutants require further research.
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spelling doaj.art-728928048eee4a13b62b379c67902ef22023-09-01T07:21:32ZengSzéchenyi István UniversityActa Technica Jaurinensis2064-52282023-06-011639910610.14513/actatechjaur.00698626Data-driven analysis of transport and weather impact on urban air qualityBálint Csonka0https://orcid.org/0000-0002-4976-8294Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics Műegyetem rkp. 3., H-1111 Budapest, HungaryMany cities face low air quality. To better predict the exceedance of air quality limits, the traffic’s contribution to air pollution was analysed in this paper. Several studies used a twin site approach to determine the impact of urban traffic; however, it requires the deployment of stations at various locations. A time variant analysis to determine traffic’s contribution and regression analysis were applied to determine the weather’s impact. The results were validated using actual traffic data. It was found that the traffic’s contributions to CO and NO2 were 22 and 30%. It was noted that the seasonal fluctuation of NO2 is significantly influenced by precipitation. Long-term trends of pollutants require further research.https://acta.sze.hu/index.php/acta/article/view/698air qualityurbantrafficweathersustainability
spellingShingle Bálint Csonka
Data-driven analysis of transport and weather impact on urban air quality
Acta Technica Jaurinensis
air quality
urban
traffic
weather
sustainability
title Data-driven analysis of transport and weather impact on urban air quality
title_full Data-driven analysis of transport and weather impact on urban air quality
title_fullStr Data-driven analysis of transport and weather impact on urban air quality
title_full_unstemmed Data-driven analysis of transport and weather impact on urban air quality
title_short Data-driven analysis of transport and weather impact on urban air quality
title_sort data driven analysis of transport and weather impact on urban air quality
topic air quality
urban
traffic
weather
sustainability
url https://acta.sze.hu/index.php/acta/article/view/698
work_keys_str_mv AT balintcsonka datadrivenanalysisoftransportandweatherimpactonurbanairquality