Institut Soziale Arbeit und Gesundheit
Dauerhafte URI für die Sammlunghttps://irf.fhnw.ch/handle/11654/29
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Ergebnisse nach Hochschule und Institut
Publikation Long-term exposure models for traffic related NO2 across geographically diverse areas over separate years(Elsevier, 2012) Sally Liu, L.-J.; Tsai, Ming-Yi; Keidel, Dirk; Gemperli, Armin; Ineichen, Alex; Hazenkamp-von Arx, Marianne; Bayer-Oglesby, Lucy; Rochat, Thierry; Künzli, Nino; Ackermann-Liebrich, Ursula; Straehl, Peter; Schwartz, Joel; Schindler, ChristianAlthough recent air pollution epidemiologic studies have embraced land-use regression models for estimating outdoor traffic exposure, few have examined the spatio-temporal variability of traffic related pollution over a long term period and the optimal methods to take these factors into account for exposure estimates. We used home outdoor NO2 measurements taken from eight geographically diverse areas to examine spatio-temporal variations, construct, and evaluate models that could best predict the within-city contrasts in observations. Passive NO2 measurements were taken outside of up to 100 residences per area over three seasons in 1993 and 2003 as part of the Swiss cohort study on air pollution and lung and heart disease in adults (SAPALDIA). The spatio-temporal variation of NO2 differed by area and year. Regression models constructed using the annual NO2 means from central monitoring stations and geographic parameters predicted home outdoor NO2 levels better than a dispersion model. However, both the regression and dispersion models underestimated the within-city contrasts of NO2 levels. Our results indicated that the best models should be constructed for individual areas and years, and would use the dispersion estimates as the urban background, geographic information system (GIS) parameters to enhance local characteristics, and temporal and meteorological variables to capture changing local dynamics. Such models would be powerful tools for assessing health effects from long-term exposure to air pollution in a large cohort01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Determinants of indoor air concentrations of PM2.5, black smoke and NO2 in six European cities (EXPOLIS study)(Elsevier, 2006) Lai, Hak Kan; Bayer-Oglesby, Lucy; Colvile, Roy N.; Götschi, Thomas; Jantunen, Matt J.; Künzli, Nino; Kulinskaya, Elena; Schweizer, Christian; Nieuwenhuijsen, Mark J.EXPOLIS was a large-scale population-based study of urban adult exposures to multiple pollutants, and was conducted between 1996 and 2000 in six European cities. Measurements made using standardised protocols in Athens (Greece), Basel (Switzerland), Helsinki (Finland), Milan (Italy), Oxford (UK), and Prague (Czech Republic), allow similarities and differences between contrasting European regions, climates and populations to be identified. Two consecutive days of home indoor and home outdoor measurements of fine particulate matter (PM2.5), black smoke (BS), and nitrogen dioxide (NO2) were carried out at the homes of adult participants on different dates and seasons during the sampling period. Regression models with interactions searched by all-possible subset method were used to assess the city effects and the determinants of home indoor PM2.5 (adj R2 ¼ 0:60, n ¼ 413), BS (adj R2 ¼ 0:79, n ¼ 382) and NO2 (adj R2 ¼ 0:67, n ¼ 302) levels. Both bi-directional (positive and negative signs of associations) and unidirectional (consistently either positive or negative sign of associations) city effects on different determinants in each indoor model were shown. Smoking, gas-stove usage, outdoor temperature, and wind speed were the common determinants in all three indoor models. Other determinants, including the presence of wooden material, heating, and being located in suburb area, were also identified. They were likely linked to cultural and socio-economic factors.01A - Beitrag in wissenschaftlicher Zeitschrift