Comparative assessment of ground-level air quality in the metropolitan area of Prague using local street canyon modelling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22320%2F23%3A43926015" target="_blank" >RIV/60461373:22320/23:43926015 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0360132323003207" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0360132323003207</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.buildenv.2023.110293" target="_blank" >10.1016/j.buildenv.2023.110293</a>
Alternative languages
Result language
angličtina
Original language name
Comparative assessment of ground-level air quality in the metropolitan area of Prague using local street canyon modelling
Original language description
Metropolitan areas have recently been identified as hotspots in terms of air quality and pollution-related diseases caused by gaseous pollutants and particulate matter primarily from road emissions. This study was carried out to investigate the suitability of the air dispersion modelling for predicting the short-term concentration of selected pollutants within the asymmetric street canyon geometries. The geographic projection covered a modelling domain of 0.5 × 1.4 km, with a grid resolution of 2 m mapped to the receptor site of an operational ambient air quality monitoring station in Prague, Czech Republic. Basic street canyon simulation showed the best performance metric for the prediction of PM10 concentration. High spatiotemporal performance was found by the advanced street canyon simulation in predicting hourly averages of NOx and PM10. The underprediction of the modelled NOx concentration corresponded to those of previous studies with FB value of 0.11 and NMSE <4. The slightly overprediction of PM10 concentration with the obtained FB value of −0.19, the NMSE value of 0.04, and the FAC2 of 0.53 were in agreement with previous modelling work. The simulation results provided additional evidence for the underpredicted concentration of PM2.5 in different model configurations. Advanced street canyon simulation improves the accuracy of ADMS-Urban by a maximum of 34%. The underprediction of short-term emission was graphically analysed in time-series profiles. The validation results and significant remarks greatly contribute to the essential optimization of urban street canyon model to better represent observations in the street canyon geometries of historic European building architectures.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20701 - Environmental and geological engineering, geotechnics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
BUILDING AND ENVIRONMENT
ISSN
0360-1323
e-ISSN
1873-684X
Volume of the periodical
263
Issue of the periodical within the volume
15 May 2023
Country of publishing house
GB - UNITED KINGDOM
Number of pages
14
Pages from-to
110293
UT code for WoS article
000981665400001
EID of the result in the Scopus database
2-s2.0-85152119403