DOI: 10.1016/j.atmosenv.2014.01.005
Scopus记录号: 2-s2.0-84893396194
论文题名: A simple model for calculating air pollution within street canyons
作者: Venegas L ; E ; , Mazzeo N ; A ; , Dezzutti M ; C
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 87 起始页码: 77
结束页码: 86
语种: 英语
英文关键词: Buenos Aires
; Modelling
; Street canyon
; Urban pollution
Scopus关键词: Background concentration
; Buenos Aires
; Operational dispersion models
; Pollution concentration
; Statistical evaluation of results
; Street canyon
; Urban pollutions
; Wind speed and directions
; Air pollution
; Mathematical models
; Models
; Nitrogen oxides
; Uncertainty analysis
; Wind
; Computer integrated manufacturing
; atmospheric chemistry
; atmospheric modeling
; atmospheric pollution
; concentration (composition)
; dispersion
; numerical model
; parameterization
; photochemistry
; street canyon
; turbulent flow
; urban pollution
; wind direction
; wind velocity
; air pollution
; article
; atmospheric dispersion
; mathematical model
; motion
; photochemistry
; priority journal
; semi empirical urban street model
; velocity
; wind
; Argentina
; Buenos Aires [Argentina]
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 introduces the Semi-Empirical Urban Street (SEUS) model. SEUS is a simple mathematical model based on the scaling of air pollution concentration inside street canyons employing the emission rate, the width of the canyon, the dispersive velocity scale and the background concentration. Dispersive velocity scale depends on turbulent motions related to wind and traffic. The parameterisations of these turbulent motions include two dimensionless empirical parameters. Functional forms of these parameters have been obtained from full scale data measured in street canyons at four European cities. The sensitivity of SEUS model is studied analytically. Results show that relative errors in the evaluation of the two dimensionless empirical parameters have less influence on model uncertainties than uncertainties in other input variables. The model estimates NO2 concentrations using a simple photochemistry scheme. SEUS is applied to estimate NOx and NO2 hourly concentrations in an irregular and busy street canyon in the city of Buenos Aires. The statistical evaluation of results shows that there is a good agreement between estimated and observed hourly concentrations (e.g. fractional bias are -10.3% for NOx and+7.8% for NO2). The agreement between the estimated and observed values has also been analysed in terms of its dependence on wind speed and direction. The model shows a better performance for wind speeds >2ms-1 than for lower wind speeds and for leeward situations than for others. No significant discrepancies have been found between the results of the proposed model and that of a widely used operational dispersion model (OSPM), both using the same input information. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80735
Appears in Collections: 气候变化事实与影响
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作者单位: National Scientific and Technological Research Council (CONICET), Avellaneda Regional Faculty, National Technological University, Av. Ramón Franco 5050, 1874 Buenos Aires, Argentina
Recommended Citation:
Venegas L,E,, Mazzeo N,et al. A simple model for calculating air pollution within street canyons[J]. Atmospheric Environment,2014-01-01,87