Assessing the representativeness of monitoring data from an urban intersection site in central London, UK

被引:65
作者
Scaperdas, A [1 ]
Colvile, RN [1 ]
机构
[1] Univ London Imperial Coll Sci Technol & Med, Ctr Environm Technol ICCET, London SW7 2PE, England
关键词
dispersion modelling; urban canyons; intersections; air quality monitoring; air quality assessment;
D O I
10.1016/S1352-2310(98)00096-X
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The wind flow field around urban street-building configurations has an important influence on the microscale pollutant dispersion from road traffic, affecting overall dilution and creating localised spatial variations of pollutant concentration. As a result, the "representativeness" of air quality measurements made at different urban monitoring sites can be strongly dependent on the interaction of the local wind Bow field with the street-building geometry surrounding the monitor. The present study is an initial attempt to develop a method for appraising the significance of air quality measurements from urban monitoring sites, using a general application computational fluid dynamics (CFD) code to simulate small-scale Row and dispersion patterns around real urban building configurations. The main focus of the work was to evaluate routine CO monitoring data collected by Westminster City Council at an intersection of street canyons at Marylebone Road, Central London. Many monitors in the UK are purposely situated at urban canyon intersections, which are thought to be local "hot spots" of pollutant emissions, however very limited information exists in the literature on the flow and dispersion patterns associated with them. With the use of simple CFD simulations and the analysis of available monitoring data, it was possible to gain insights into the effect of wind direction on the small-scale dispersion patterns at the chosen intersection, and how that can influence the data captured by a monitor. It was found that a change in wind direction could result in an increase or decrease of monitored CO concentration of up to 80%, for a given level of traffic emissions and meteorological conditions. Understanding and de-coupling the local effect of wind direction from monitoring data using the methods presented in this work could prove a useful new tool for urban monitoring data interpretation. (C) 1999 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:661 / 674
页数:14
相关论文
共 19 条
[1]  
BERKOWICZ R, 1994, IMA C FLOW DISP GROU
[2]  
CROXFORD B, 1996, UNPUB COMMUNICATION
[3]  
EGGLESTON HS, 1992, 888AP LR UK W SPRING
[4]  
GIFFORD FA, 1976, NUCL SAFETY, V17, P68
[5]  
Hall D.J., 1996, 7796 BRE CR
[6]  
HALL RC, 1996, ATMOSPHERIC DISPERSI
[7]  
Hosker Jr. R.P., 1984, ATMOSPHERIC SCI POWE
[8]   CONCENTRATION FIELDS AT URBAN INTERSECTIONS - FLUID MODELING STUDIES [J].
HOYDYSH, WG ;
DABBERDT, WF .
ATMOSPHERIC ENVIRONMENT, 1994, 28 (11) :1849-1860
[9]   AN INVESTIGATION OF 3-DIMENSIONAL CHARACTERISTICS OF FLOW REGIMES WITHIN THE URBAN CANYON [J].
HUNTER, LJ ;
JOHNSON, GT ;
WATSON, ID .
ATMOSPHERIC ENVIRONMENT PART B-URBAN ATMOSPHERE, 1992, 26 (04) :425-432
[10]  
Launder B. E., 1974, Computer Methods in Applied Mechanics and Engineering, V3, P269, DOI 10.1016/0045-7825(74)90029-2