DOI: 10.1016/j.atmosenv.2014.02.053
Scopus记录号: 2-s2.0-84896806268
论文题名: Development of a fluctuating plume model for odour dispersion around buildings
作者: Dourado H ; , Santos J ; M ; , Reis Jr ; N ; C ; , Mavroidis I
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 89 起始页码: 148
结束页码: 157
语种: 英语
英文关键词: Atmospheric dispersion
; Concentration fluctuations
; Intermittency
; Odours
; PRIME algorithm
Scopus关键词: Atmospheric dispersion
; Complex buildings
; Concentration fluctuation
; Fluctuating plumes
; Intermittency
; Mean concentrations
; Near-field dispersions
; Recirculation regions
; Algorithms
; Atmospheric movements
; Environmental impact assessments
; Forecasting
; Odor removal
; Odors
; Wakes
; Wind tunnels
; Dispersions
; algorithm
; atmospheric modeling
; atmospheric plume
; building
; concentration (composition)
; dispersion
; environmental impact assessment
; Gaussian method
; odor
; turbulence
; wake
; wind tunnel
; algorithm
; article
; atmosphere
; building
; comparative study
; controlled study
; dispersion
; environmental impact assessment
; odor
; plume
; plume dispersion
; prediction
; priority journal
; simulation
; time series analysis
; wind
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: This paper presents a fluctuating plume model, which incorporates the PRIME algorithm in order to include the effect of plume elevation and downwash due to buoyancy and the presence of obstacles. The Gaussian fluctuating plume model has the ability to predict both mean concentrations and concentration fluctuations. Therefore, it is useful for modelling dispersion in cases where concentration fluctuations are important for environmental impact assessment, such as for odorous compounds. The model is validated using two different experimental datasets, one involving dispersion around a complex building in a wind tunnel and the other involving dispersion around an isolated cube in the field. The results suggest that the model in general predicts adequately mean concentrations and concentration fluctuation statistics, such as concentration peaks and intermittency, downwind of the near-wake. However, mainly due to the formulation of the PRIME algorithm, it underestimates concentrations in the near-wake recirculation region of the obstacle and although it can adequately predict the maximum intermittency value, it does not predict accurately its location. In general, the model appears to over-predict dispersion if compared to the wind tunnel data. This can be partly attributed to the larger scales of turbulence not reproduced in the wind tunnel as also suggested from the comparison of the model results with field data. Finally, due to the assumptions incorporated in PRIME, the model cannot capture the effect of the complex shape of a building on near-field dispersion. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80643
Appears in Collections: 气候变化事实与影响
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作者单位: Universidade Federal do Espírito Santo, Department of Environmental Engineering, Av. Fernando Ferrari 514, Goiabeiras, Vitória, ES 29.060-970, Brazil; Faculdades Integradas de Aracruz, R. Prof. Berilo Basílio dos Santos, 180, Centro, Aracruz, ES 29.194-910, Brazil; Hellenic Open University, Patras, Greece
Recommended Citation:
Dourado H,, Santos J,M,et al. Development of a fluctuating plume model for odour dispersion around buildings[J]. Atmospheric Environment,2014-01-01,89