Road Dust Emission Modelling

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F15%3A00235821" target="_blank" >RIV/68407700:21220/15:00235821 - isvavai.cz</a>
Výsledek na webu
<a href="http://stc.fs.cvut.cz/proceedings.html" target="_blank" >http://stc.fs.cvut.cz/proceedings.html</a>
DOI - Digital Object Identifier
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Jazyk výsledku
angličtina
Název v původním jazyce
Road Dust Emission Modelling
Popis výsledku v původním jazyce
Atmospheric particulate matter (PM) is a well known risk to human health. Vehicular traffic is one of the major sources of particulates in an urban setting. Here we study a problem of road dust dispersion. Using CFD solver based on RANS equations, we investigate the effect of a vegetation barrier on the concentration of airborne PM induced by road traffic. Simplified 2D model of a porous obstacle adjacent to a road source of PM10 serves as an idealization of a real-world situation. Importance of several model parameters is estimated using direct sensitivity approach.
Název v anglickém jazyce
Road Dust Emission Modelling
Popis výsledku anglicky
Atmospheric particulate matter (PM) is a well known risk to human health. Vehicular traffic is one of the major sources of particulates in an urban setting. Here we study a problem of road dust dispersion. Using CFD solver based on RANS equations, we investigate the effect of a vegetation barrier on the concentration of airborne PM induced by road traffic. Simplified 2D model of a porous obstacle adjacent to a road source of PM10 serves as an idealization of a real-world situation. Importance of several model parameters is estimated using direct sensitivity approach.

Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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