On the Suitability of Dispersion Models of Varying Degree of Complexity for Air Quality Assessment and Urban Planning

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F24%3A00586307" target="_blank" >RIV/67985807:_____/24:00586307 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

On the Suitability of Dispersion Models of Varying Degree of Complexity for Air Quality Assessment and Urban Planning

Popis výsledku v původním jazyce

The development of integrated urban services requires the implementation of informative tools that provide a balance between quality, time and costs for air quality assessment. In this framework, three modeling techniques with different levels of complexity were validated and compared during a wintertime episode with respect to PM10 concentrations measured in a built-up area in Prague (Czech Republic) characterized by a heavy traffic load. Results indicated that, although the Gaussian model ATEM could comply with common statistical performance criteria, the predictions poorly represented the spatial variability of concentrations in the domain. The Lagrangian model GRAL provided a better simulation of the effect of terrain and the formation of vortices inside street canyons, but it tended to overpredict the influence of these phenomena. Finally, the most sophisticated Large Eddy Simulation (LES) model PALM, demonstrated the best performance considering an exhaustive analysis of the model outputs in the temporal and spatial dimensions. Apart from the validation, a sensitivity test of the selected models to driving meteorology and emission inputs was carried out. Even though advanced models have the capability to simulate complex urban environments, their suitability for urban planning is subject to further considerations, such as computational cost, user expertise and usefulness of the output provided. Due to increasing computation power and intensive work on the whole modeling chain, sophisticated models can become a routine tool for regulatory applications and be part of future integrated urban services.

Název v anglickém jazyce

On the Suitability of Dispersion Models of Varying Degree of Complexity for Air Quality Assessment and Urban Planning

Popis výsledku anglicky

The development of integrated urban services requires the implementation of informative tools that provide a balance between quality, time and costs for air quality assessment. In this framework, three modeling techniques with different levels of complexity were validated and compared during a wintertime episode with respect to PM10 concentrations measured in a built-up area in Prague (Czech Republic) characterized by a heavy traffic load. Results indicated that, although the Gaussian model ATEM could comply with common statistical performance criteria, the predictions poorly represented the spatial variability of concentrations in the domain. The Lagrangian model GRAL provided a better simulation of the effect of terrain and the formation of vortices inside street canyons, but it tended to overpredict the influence of these phenomena. Finally, the most sophisticated Large Eddy Simulation (LES) model PALM, demonstrated the best performance considering an exhaustive analysis of the model outputs in the temporal and spatial dimensions. Apart from the validation, a sensitivity test of the selected models to driving meteorology and emission inputs was carried out. Even though advanced models have the capability to simulate complex urban environments, their suitability for urban planning is subject to further considerations, such as computational cost, user expertise and usefulness of the output provided. Due to increasing computation power and intensive work on the whole modeling chain, sophisticated models can become a routine tool for regulatory applications and be part of future integrated urban services.

Druh

V_souhrn - Souhrnná výzkumná zpráva

CEP obor

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OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Počet stran výsledku

34

Místo vydání

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Název nakladatele resp. objednatele

Social Science Research Network

Verze

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