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Urban Air Quality Accidental releases of hazardous materials. Themes:. Simple rules of thumb Operational models (e.g UDM, ASUDM, ESUDM, OSPM, ADMS-URBAN) Computational Fluid Dynamics (CFD) models (e.g. RANS, LES). Models:. Purposes:. Prediction/forecasting - PowerPoint PPT Presentation
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COMPUTATIONAL MODELLINGDr Marina Neophytou
University of Cambridge, Department of Engineering
Scope: Test the appropriateness and validity
of models of different levels of complexity and improvement
•Simple rules of thumb•Operational models(e.g UDM, ASUDM, ESUDM,
OSPM, ADMS-URBAN)•Computational Fluid Dynamics (CFD) models (e.g. RANS, LES)
Models:
Themes: •Urban Air Quality•Accidental releases of hazardous materials
Purposes: •Prediction/forecasting•Design of mitigation strategies
A. FIELD CAMPAIGN
Location Distance from
source (m)
Measured average
concentration (ppqv)
Estimated maximum
concentration (ppqv)
Westminster Council House
120 490 2200
Bickenhall Mansions
200 185 830
End of York Street
190 10 900
Thornton Place 60 1590 8800
Some concluding remarks:
•Measurements and estimates are consistent•Significant variations over the 30 minute (long)period (possibly due to wind meandering)
Rule of Thumb: C ~ 10 Q U-1 x-2
York StreetLibrary
Bickenhall Street
WestminsterCouncil House
Thornton Place
Bickenhall Mansions
x
3
65
4
A. FIELD CAMPAIGN
Source-Receptor Positions
B. SCALE-VARIANT MODELLING
•Address urban dispersion in terms of different processes occurring at different scales
•On what basis one could define different scales is an open issue
•One way is through physically meaningful scales such as:
•Regional •City
•Subdistricts•Neighbourhood• Street-canyons
An
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