Personal exposures to NO2 in the EXPOLIS-study:: relation to residential indoor, outdoor and workplace concentrations in Basel, Helsinki and Prague

被引:67
作者
Kousa, A
Monn, C
Rotko, T
Alm, S
Oglesby, L
Jantunen, MJ
机构
[1] KTL, Natl Publ Hlth Inst, Dept Environm Hyg, Kuopio 70701, Finland
[2] ETHZ, Fed Inst Technol, Environm Hyg Grp, CH-8386 Zurich, Switzerland
[3] Univ Basel, Inst Social & Prevent Med, CH-4051 Basel, Switzerland
[4] EU Joint Res Ctr, Inst Environm, Air Qual Unit, I-21020 Ispra, VA, Italy
基金
芬兰科学院;
关键词
nitrogen dioxide; exposure; EXPOLIS; regression model; time-activity diary;
D O I
10.1016/S1352-2310(01)00131-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Personal exposures, residential indoor, outdoor and workplace levels of nitrogen dioxide (NO2) were measured for 262 urban adult (25-55 years) participants in three EXPOLIS centres (Basel, Switzerland, Helsinki; Finland, and Prague; Czech Republic) using passive samplers for 48-h sampling periods during 1996-1997. The average residential outdoor and indoor NO2 levels were lowest in Helsinki (24 +/- 12 and 18 +/- 11 mug m(-3), respectively), highest in Prague (61 +/- 20 and 43 +/- 23 mug m(-3)), with Basel in between (36 +/- 13 and 27 +/- 13 mug m(-3)). Average workplace NO2 levels, however, were highest in Basel (36 +/- 24 mug m(-3)), lowest in Helsinki (27 +/- 15 mug m(-3)), with Prague in between (30 +/- 18 mug m(-3)). A time-weighted microenvironmental exposure model explained 74% of the personal NO2 exposure variation in all centres and in average 88% of the exposures. Log-linear regression models, using residential outdoor measurements (fixed site monitoring) combined with;residential and work characteristics (i.e. work location, using gas appliances and keeping windows open), explained 48% (37%) of the personal NO2 exposure variation. Regression models based on ambient fixed site concentrations alone explained only 11-19% of personal NO2 exposure variation. Thus, ambient fixed site monitoring alone was a poor predictor for personal NO2 exposure variation, but adding personal questionnaire information can significantly improve the predicting power. (C) 2001 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:3405 / 3412
页数:8
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