4.7 Article

Intake fraction of PM2.5 and NOx from vehicle emissions in Beijing based on personal exposure data

期刊

ATMOSPHERIC ENVIRONMENT
卷 57, 期 -, 页码 233-243

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2012.04.046

关键词

Individual intake fraction; PM2.5; NOx; Personal exposure; Vehicle emissions

资金

  1. National Natural Science Foundation of China [50908121, 50778100]

向作者/读者索取更多资源

The intake fraction (iF) is the portion of attributable population intake of a source emissions, and is used to link pollutant emissions and population exposure. This study is the first work that reported individual intake fraction of PM2.5 and NOx from vehicle emissions based on personal exposure data in China. We employed PM2.5 and NOx measurement data from 24-h personal exposure sampling and concentration monitoring in traffic environments in the urban area of Beijing to estimate the individual intake fraction (iF(i)), iF(i) distributions are presented in microenvironments (traffic, work, home) for adults and children. The individual results are used to calculate the intake fraction for the children group and the adults group in the urban area of Beijing. The iF of PM2.5 for the whole population of these two groups in Beijing is 153 per million, which is significantly higher than those estimates in the United States (1-50 per million) and Mexico (23-120 per million). The iF of NOx is 70 per million, among which the intake in the traffic microenvironment ranks first compared to the iF in the home and office due to a high accumulation of NOx concentration in vehicles. PM2.5 and NOx intake fraction values from vehicle emissions in this study are from at least several times to one order of magnitude higher than those from other industry sources in China. This strongly suggests the health risk from vehicle emissions is significantly higher. Therefore, to protect human health, especially for the large number of people living in the cities of China, controlling vehicle emissions should be the highest priority. (c) 2012 Elsevier Ltd. All rights reserved.

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