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

Citation
A. Kousa et al., Personal exposures to NO2 in the EXPOLIS-study: relation to residential indoor, outdoor and workplace concentrations in Basel, Helsinki and Prague, ATMOS ENVIR, 35(20), 2001, pp. 3405-3412
Citations number
16
Categorie Soggetti
Environment/Ecology,"Earth Sciences
Journal title
ATMOSPHERIC ENVIRONMENT
ISSN journal
13522310 → ACNP
Volume
35
Issue
20
Year of publication
2001
Pages
3405 - 3412
Database
ISI
SICI code
1352-2310(200107)35:20<3405:PETNIT>2.0.ZU;2-X
Abstract
Personal exposures, residential indoor, outdoor and workplace levels of nit rogen dioxide (NO2) were measured for 262 urban adult (25-55 years) partici pants in three EXPOLIS centres (Basel, Switzerland, Helsinki; Finland, and Prague; Czech Republic) using passive samplers for 48-h sampling periods du ring 1996-1997. The average residential outdoor and indoor NO2 levels were lowest in Helsinki (24 +/- 12 and 18 +/- 11 mug m(-3), respectively), highe st 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, we re highest in Basel (36 +/- 24 mug m(-3)), lowest in Helsinki (27 +/- 15 mu g m(-3)), with Prague in between (30 +/- 18 mug m(-3)). A time-weighted mic roenvironmental exposure model explained 74% of the personal NO2 exposure v ariation in all centres and in average 88% of the exposures. Log-linear reg ression models, using residential outdoor measurements (fixed site monitori ng) 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 va riation. Thus, ambient fixed site monitoring alone was a poor predictor for personal NO2 exposure variation, but adding personal questionnaire informa tion can significantly improve the predicting power. (C) 2001 Elsevier Scie nce Ltd. All rights reserved.