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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Journal of Environmental Management

ISSN

0301-4797

e-ISSN

1095-8630

Svazek periodika

393

Číslo periodika v rámci svazku

November 2025

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

16

Strana od-do

127149

Kód UT WoS článku

001568927800008

EID výsledku v databázi Scopus

2-s2.0-105014811424