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Dataset for the thesis "Experimentally modelling urban air pollution and measuring turbulent dispersion"

Dataset for the thesis "Experimentally modelling urban air pollution and measuring turbulent dispersion"
Dataset for the thesis "Experimentally modelling urban air pollution and measuring turbulent dispersion"
Data for the tall building chapter showing mean and instantaneous flow fields along with code showing how they can be viewed and data for the city study, and PLIF validation chapters contain the .fig files of the graphs included in the thesis "Experimentally Modelling Urban Air Pollution and Measuring Turbulent Dispersion"
Fluid dynamics, Urban aerodynamics, Scalar dispersion, Turbulence
University of Southampton
Rich, Tomos Jared
ff1abcf4-5e05-43e7-8b17-9517a9378938
Rich, Tomos Jared
ff1abcf4-5e05-43e7-8b17-9517a9378938

Rich, Tomos Jared (2025) Dataset for the thesis "Experimentally modelling urban air pollution and measuring turbulent dispersion". University of Southampton doi:10.5258/SOTON/D3400 [Dataset]

Record type: Dataset

Abstract

Data for the tall building chapter showing mean and instantaneous flow fields along with code showing how they can be viewed and data for the city study, and PLIF validation chapters contain the .fig files of the graphs included in the thesis "Experimentally Modelling Urban Air Pollution and Measuring Turbulent Dispersion"

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readme.txt - Dataset
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PLIF_validation_data.zip - Dataset
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Tall_Building_data_1.zip - Dataset
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Tall_Building_data_2.zip - Dataset
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City_chapter_data_1.zip - Dataset
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City_chapter_data_2.zip - Dataset
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More information

Published date: 27 February 2025
Keywords: Fluid dynamics, Urban aerodynamics, Scalar dispersion, Turbulence

Identifiers

Local EPrints ID: 498831
URI: http://eprints.soton.ac.uk/id/eprint/498831
PURE UUID: 1d2e5217-493a-4299-8dc4-d710b20a0a0f
ORCID for Tomos Jared Rich: ORCID iD orcid.org/0000-0002-6259-4225

Catalogue record

Date deposited: 03 Mar 2025 17:44
Last modified: 05 Mar 2025 03:05

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Contributors

Creator: Tomos Jared Rich ORCID iD

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