Modelling nitrogen dioxide dispersion in urban street canyons through sensor-based emission assessment

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22320%2F25%3A43932286" target="_blank" >RIV/60461373:22320/25:43932286 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S0301479725031251" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0301479725031251</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jenvman.2025.127149" target="_blank" >10.1016/j.jenvman.2025.127149</a>

Result language

angličtina

Original language name

Modelling nitrogen dioxide dispersion in urban street canyons through sensor-based emission assessment

Original language description

This study assesses the performance of the ADMS-Urban dispersion model in estimating 1-h mean nitrogen dioxide (NO2) concentrations within the street canyons of Prague. While traditional air quality modeling that relies on sparse data from localized monitoring stations, this approach pioneers the integration of traffic, background, and rooftop sensor network, to archive a more granular validation of model outputs. The results demonstrate robust model performance, with FAC2 values ranging from 0.307 to 0.552, NMSE consistently below 1.8, and fractional bias (FB) largely within ±0.4. Notably, the rooftop sensors exhibited a higher FB of 0.775, suggesting reduced accuracy in zones with lower ambient concentrations and complex vertical mixing. Spatial mapping revealed that NO2 concentrations exceeded 50 μg/m3 at key traffic intersections, driven by vehicle idling, congestion, and restricted dispersion within enclosed canyon geometries. Street morphology played a critical role in pollutant retention, with narrow, high-walled corridors accumulating higher NO2 loads than broader, vegetated streets that allowed greater airflow and dilution. Temporal analysis indicated a marked seasonal trend, with elevated concentrations during the colder months (October to February), reflecting increased vehicular activity and meteorological influences such as lower wind speeds and temperature inversions. Overall, the findings confirm the ADMS-Urban model&apos;s capacity to accurately reflect both spatial and temporal variability in urban NO2 distribution. The results underscore the interplay between urban form, traffic dynamics, and pollutant dispersion, offering valuable insights for air quality planning in similarly dense urban environments.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10509 - Meteorology and atmospheric sciences

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Environmental Management

ISSN

0301-4797

e-ISSN

1095-8630

Volume of the periodical

393

Issue of the periodical within the volume

November 2025

Country of publishing house

GB - UNITED KINGDOM

Number of pages

16

Pages from-to

127149

UT code for WoS article

001568927800008

EID of the result in the Scopus database

2-s2.0-105014811424