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

Result code in 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>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

V_souhrn - Summary research report

CEP classification

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OECD FORD branch

10509 - Meteorology and atmospheric sciences

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

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

Number of pages

34

Place of publication

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Publisher/client name

Social Science Research Network

Version

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