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Enhancements to AERMOD’s Building Downwash Algorithms based on Wind-Tunnel and Embedded-LES Modeling -BDW-2

Metadata Updated: April 9, 2021

This data set is associated with the results found in the journal article: Monbureau et al, 2018. Enjancements to AERMOD's building downwash algorithms based on wind-tunnel and Embedded-LES modeling. Atmospheric Environment, https://doi.org/10.1016/j.atmosenv.2018.02.022. The goal of this study is to improve AERMOD's ability to accurately model important and complex building downwash scenarios by incorporating knowledge gained from a recently completed series of wind tunnel studies and complementary large eddy simulations of flow and dispersion around simple structures for a variety of building dimensions, stack locations, stack heights, and wind angles. This study presents three modifications to the building downwash algorithm in AERMOD that improve the physical basis and internal consistency of the model, and one modification to AERMOD's building pre-processor to better represent elongated buildings in oblique winds. These modifications are demonstrated to improve the ability of AERMOD to model observed ground-level concentrations in the vicinity of a building for the variety of conditions examined in the wind tunnel and numerical studies.

This dataset is associated with the following publication: Monbureau, E., D. Heist, S. Perry, L. Brouwer, H. Foroutan , and W. Tang. Enhancements to AERMOD's building downwash algorithms based on wind-tunnel and Embedded-LES modeling. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 179: 321-330, (2018).

Access & Use Information

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

Downloads & Resources

References

https://doi.org/10.1016/j.atmosenv.2018.02.022

Dates

Metadata Created Date December 10, 2020
Metadata Updated Date April 9, 2021

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date December 10, 2020
Metadata Updated Date April 9, 2021
Publisher U.S. EPA Office of Research and Development (ORD)
Maintainer
Identifier https://doi.org/10.23719/1424691
Data Last Modified 2018-03-08
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Datagov Dedupe epa-gov-dup-removal
Data Dictionary https://pasteur.epa.gov/uploads/10.23719/1424691/documents/HeistDavid_A-v42c_DataDictionary-BDW-2_20170807.docx
Data Dictionary Type application/vnd.openxmlformats-officedocument.wordprocessingml.document
Harvest Object Id 273788b1-82a4-40ec-a2c5-80f1e7d3f13d
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license.html
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 https://doi.org/10.1016/j.atmosenv.2018.02.022
Source Datajson Identifier True
Source Hash 30f56164ecfccfa9d5e6eca39dabc9ef2510314e
Source Schema Version 1.1

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