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COMPUTATIONAL MODELLING Dr Marina Neophytou University of Cambridge, Department of Engineering

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

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COMPUTATIONAL MODELLING Dr Marina Neophytou University of Cambridge, Department of Engineering

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  1. 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 • Design of mitigation strategies COMPUTATIONAL MODELLINGDr Marina NeophytouUniversity of Cambridge, Department of Engineering • Scope: • Test the appropriateness and validity • of models of different levels of • complexity and improvement

  2. A. FIELD CAMPAIGN Rule of Thumb:C ~ 10 Q U-1 x-2 • Some concluding remarks: • Measurements and estimates are consistent • Significant variations over the 30 minute (long) • period (possibly due to wind meandering)

  3. 6 5 Westminster Council House Bickenhall Mansions Library 4 Bickenhall Street 3 Thornton Place YorkStreet x A. FIELD CAMPAIGN Source-Receptor Positions

  4. 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

  5. An example: A source apportionment study for Central London

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