Characterization of pollutant dispersion near elongated buildings based on wind tunnel simulations-BDW-1

Metadata Updated: February 13, 2019

This data set is associated with the results found in the journal article: Perry et al, 2016. Characterization of pollutant dispersion near elongated buildings based on wind tunnel simulations, Atmospheric Environment, 142, 286-295. The paper presents a wind tunnel study of the effects of elongated rectangular buildings on the dispersion of pollutants from nearby stacks. The study examines the influence of source location, building aspect ratio, and wind direction on pollutant dispersion with the goal of developing improved algorithms within dispersion models. The paper also examines the current AERMOD/PRIME modeling capabilities compared to wind tunnel observations. Differences in the amount of plume material entrained in the wake region downwind of a building for various source locations and source heights are illustrated with vertical and lateral concentration profiles. These profiles were parameterized using the Gaussian equation and show the influence of building/source configurations on those parameters. When the building is oriented at 45° to the approach flow, for example, the effective plume height descends more rapidly than it does for a perpendicular building, enhancing the resulting surface concentrations in the wake region. Buildings at angles to the wind cause a cross-wind shift in the location of the plume resulting from a lateral mean flow established in the building wake. These and other effects that are not well represented in many dispersion models are important considerations when developing improved algorithms to estimate the location and magnitude of concentrations downwind of elongated buildings.

This dataset is associated with the following publication: Perry , S., D. Heist , L. Brouwer, E. Monbureau, and L. Brixey. Characterization of pollutant dispersion near elongated buildings based on wind tunnel simulations. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 142: 286-295, (2016).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

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References

http://www.sciencedirect.com/science/article/pii/S1352231016305829

Dates

Metadata Created Date September 3, 2016
Metadata Updated Date February 13, 2019

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date September 3, 2016
Metadata Updated Date February 13, 2019
Publisher U.S. EPA Office of Research and Development (ORD)
Unique Identifier A-d51p-171
Maintainer
Steven Perry
Maintainer Email
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Data Dictionary https://pasteur.epa.gov/uploads/171/documents/Perry%20A-d51p-DataDictionaryBDW-1-20160805.docx
Data Dictionary Type application/vnd.openxmlformats-officedocument.wordprocessingml.document
Harvest Object Id 49c74747-70df-43a8-9192-7b1df89eec2d
Harvest Source Id cf9b0004-f9fd-420e-bade-a86839e82acf
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license.html
Data Last Modified 2016-08-05
Program Code 020:094
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents http://www.sciencedirect.com/science/article/pii/S1352231016305829
Source Datajson Identifier True
Source Hash 1e31144022763a68c20d4626c76444eda3e6a5df
Source Schema Version 1.1

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