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  • 标题:Measured and modeled personal and environmental NO 2 exposure
  • 本地全文:下载
  • 作者:Emilie Stroh ; Ralf Rittner ; Anna Oudin
  • 期刊名称:Population Health Metrics
  • 印刷版ISSN:1478-7954
  • 电子版ISSN:1478-7954
  • 出版年度:2012
  • 卷号:10
  • 期号:1
  • 页码:10
  • DOI:10.1186/1478-7954-10-10
  • 语种:English
  • 出版社:BioMed Central
  • 摘要:Measured or modeled levels of outdoor air pollution are being used as proxies for individual exposure in a growing number of epidemiological studies. We studied the accuracy of such approaches, in comparison with measured individual levels, and also combined modeled levels for each subject’s workplace with the levels at their residence to investigate the influence of living and working in different places on individual exposure levels. A GIS-based dispersion model and an emissions database were used to model concentrations of NO2 at the subject’s residence. Modeled levels were then compared with measured levels of NO2. Personal exposure was also modeled based on levels of NO2 at the subject’s residence in combination with levels of NO2 at their workplace during working hours. There was a good agreement between measured façade levels and modeled residential NO2 levels (rs = 0.8, p > 0.001); however, the agreement between measured and modeled outdoor levels and measured personal exposure was poor with overestimations at low levels and underestimation at high levels (rs = 0.5, p > 0.001 and rs = 0.4, p > 0.001) even when compensating for workplace location (rs = 0.4, p > 0.001). Modeling residential levels of NO2 proved to be a useful method of estimating façade concentrations. However, the agreement between outdoor levels (both modeled and measured) and personal exposure was, although significant, rather poor even when compensating for workplace location. These results indicate that personal exposure cannot be fully approximated by outdoor levels and that differences in personal activity patterns or household characteristics should be carefully considered when conducting exposure studies. This is an important finding that may help to correct substantial bias in epidemiological studies.
  • 关键词:Personal Exposure ; Residential Level ; Individual Exposure ; Diffusion Sampler ; Outdoor Concentration
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