Assessment of traffic-related air pollution in two street canyons in Paris: implications for exposure studies

被引:105
作者
Vardoulakis, S
Gonzalez-Flesca, N
Fisher, BEA
机构
[1] INERIS, F-60550 Verneuil En Halatte, France
[2] Univ Greenwich, Sch Earth & Environm Sci, Chatham ME4 4TB, Kent, England
[3] Environm Agcy, Natl Ctr Risk Anal & Opt Appraisal, London SW1H 9NF, England
关键词
air quality; urban canyon; roadside monitoring; modelling; spatial variability; dispersion;
D O I
10.1016/S1352-2310(01)00288-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The small-scale spatial variability of air pollution observed in urban areas has created concern about the representativeness of measurements used in exposure studies. it is suspected that limit values for traffic-related pollutants may be exceeded near busy streets, although respected at urban background sites. In order to assess spatial concentration gradients and identify weather conditions that might induce air pollution episodes in urban areas, different sampling and modelling techniques were studied. Two intensive monitoring campaigns were carried out in typical street canyons in Paris during winter and summer. Steep cross-road and vertical concentration gradients were observed within the canyons, in addition to large differences between roadside and background levels. Low winds and winds parallel to the street axis were identified as the worst dispersion conditions. The correlation between the measured compounds gave an insight into their sources and fate. An empirical relationship between CO and benzene was established. Two relatively simple mathematical models and an algorithm describing vertical pollutant dispersion were used. The combination of monitoring and modelling techniques proposed in this study can be seen as a reliable and cost-effective method for assessing air quality in urban micro-environments. These findings may have important implications in designing monitoring studies to support investigation on the health effects of traffic-related air pollution. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:1025 / 1039
页数:15
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