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Traffic Contribution Assessment to Urban Air Quality Using ADMS-Urban

Bibliographic Data

ID19489161
AuthorsDame Dimitrovski (Saints Cyril and Methodius University of Skopje), Zoran Markov (0000-0001-7302-8280, Saints Cyril and Methodius University of Skopje), Simona Domazetovska (0000-0001-8826-119X), Simona DOMAZETOVSKA MARKOVSKA (Saints Cyril and Methodius University of Skopje, corresponding author), Maja Anachkova (0000-0002-8213-1682, Saints Cyril and Methodius University of Skopje), Nikola Manev (0000-0002-5591-4593, Goce Delcev University)
Year2026
Volume10
Issue5
Pages250
Publication date2026-05-05
Open AccessYes
TypeARTICLE
VenueUrban Science (JOURNAL)
Journal identifiersISSN: 2413-8851 • E-ISSN: 2413-8851
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/urbansci10050250
OpenAlexW7160323234
LanguageEN
References cited20

Urban air pollution in Skopje, a city with complex topography, is strongly influenced by traffic emissions, household heating, industrial activities, and meteorological conditions, leading to pronounced spatial and seasonal variability. The objective of this study is to assess the contribution of major urban emission sources to air quality in Skopje, with a focus on traffic pollution, and to quantify their seasonal influence on NO2, PM10, and PM2.5 concentrations using a high-resolution urban dispersion modelling approach. The methodology is based on the ADMS-Urban dispersion modelling system, integrating traffic activity data as line sources, together with area sources representing household heating, point sources representing industrial facilities, and seasonally representative meteorological data. Model performance was evaluated through comparison with measurements from official urban monitoring stations. The results show that the model successfully reproduces the observed spatial gradients and seasonal trends of NO2, PM10, and PM2.5 concentrations across the urban area. Source contribution analysis indicates that household heating dominates particulate matter pollution throughout the year, while traffic and industrial combustion are the main contributors to NO2. The isolated traffic contribution exhibits clear seasonal variability, with the highest concentrations occurring during winter due to reduced atmospheric dispersion and increased traffic-related emissions. The model is primarily suitable for assessing spatial patterns and relative source contributions rather than accurate prediction of absolute concentration levels, due to the use of aggregated Tier 1 emission factors. The study confirms that physically based urban dispersion modelling provides a robust framework for identifying pollution hotspots, quantifying traffic contributions, and supporting targeted air quality management strategies in Skopje

Air pollution · Air quality index · Atmospheric dispersion modeling · Particulates · Seasonality · Air Quality and Health Impacts · Atmospheric chemistry and aerosols · Wind and Air Flow Studies · Pollution

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