DOI: 10.1016/j.atmosenv.2018.02.022
Scopus记录号: 2-s2.0-85042557545
论文题名: Enhancements to AERMOD's building downwash algorithms based on wind-tunnel and Embedded-LES modeling
作者: Monbureau E ; M ; , Heist D ; K ; , Perry S ; G ; , Brouwer L ; H ; , Foroutan H ; , Tang W
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 179 起始页码: 321
结束页码: 330
语种: 英语
英文关键词: AERMOD
; Building downwash
; Dispersion modeling
; PRIME
Scopus关键词: Air pollution
; Dispersions
; Effluents
; Large eddy simulation
; Wakes
; Wind tunnels
; AERMOD
; Building dimensions
; Building downwashs
; Dispersion modeling
; Gaussian plume models
; Ground level concentrations
; Internal consistency
; PRIME
; Buildings
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Knowing the fate of effluent from an industrial stack is important for assessing its impact on human health. AERMOD is one of several Gaussian plume models containing algorithms to evaluate the effect of buildings on the movement of the effluent from a stack. 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. © 2018 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82947
Appears in Collections: 气候变化事实与影响
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作者单位: Oak Ridge Institute for Science and Education, Oak Ridge, TN, United States; U.S. Environmental Protection Agency (EPA), Office of Research and Development, National Exposure Research Laboratory, Research Triangle ParkNC, United States; Jacobs Technology Inc., Research Triangle ParkNC, United States; Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA, United States; Applied Research Associates, Inc., Research Triangle ParkNC, United States
Recommended Citation:
Monbureau E,M,, Heist D,et al. Enhancements to AERMOD's building downwash algorithms based on wind-tunnel and Embedded-LES modeling[J]. Atmospheric Environment,2018-01-01,179