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New approach for particulate exposure monitoring: determination of inhaled particulate mass by 24 h real-time personal exposure monitoring

Journal of Exposure Science & Environmental Epidemiology volume 22, pages 344–351 (2012)Cite this article

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Abstract

The objectives of this study were to measure particulate pollution (PM10, PM2.5, and PM1.0) continuously (24 h/day for 7 day) using real-time exposure monitoring and to estimate total inhalation mass using breathing rate and time–activity. Breathing rates were calculated from measured heart rates. Participants were asked to record a time–activity diary every 15 min. Five microenvironments were defined based on the time–activity diary: home, workplace/school, other indoor, outdoor, and transportation. The average masses of inhaled PM10 were 530, 316, and 280 μg/day for two office workers, a housewife, and three students, respectively; those of PM2.5 were 316, 279, and 210 μg/day; and those of PM1.0 were 251, 264, and 187 μg/day, respectively. We found that home and office/school microenvironments were the main contributors of PM10, PM2.5, and PM1.0 inhaled mass during weekdays and weekends because dwelling time was a determinant factor for inhaled mass. Considering microenvironmental concentration, breathing rate, and dwelling time in each microenvironment, indoor home microenvironments were the largest source of particulate inhalation, followed in order by workplace, transportation, other indoor, and outdoor microenvironments. 34.6% and 69.6% of PM10 inhalation mass were accumulated in home microenvironments during weekdays and weekends, respectively. The inhaled mass of particulate <1.0 μm (PM1.0) in size occupied largest, followed in order by particulate 10–2.5 μm (coarse particle) and 2.5–1.0 μm in size for all occupations.

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References

  1. Lioy P.J. Assessing total human exposure to contaminants. Environ Sci Technol 1990: 24: 938–945.

    Article  CAS  Google Scholar 

  2. Rappaport S.M., and Kupper L.L. Variability of environmental exposures to volatile compounds. J Expo Anal Environ Epidemiol 2004: 14: 92–107.

    Article  CAS  Google Scholar 

  3. American Conference of Governmental Industrial Hygienists (ACGIH).. TLVs and BEIs Based on the Documentation of the Threshold Limit Values for Chemical Substances and Physical Agents & Biological Exposure Indices. ACGIH Signature Publication, OH, 2011.

  4. Lioy P.J. Exposure science: a view of the past and milestones for the future. Environ Health Perspect 2010: 118: 1081–1090.

    Article  Google Scholar 

  5. Jones A.P. Indoor air quality and health. Atmos Environ 1999: 33: 4535–4564.

    Article  CAS  Google Scholar 

  6. Mendell M.J., and Heath G.A. Do indoor pollutants and thermal conditions in schools influence student performance? A critical review of the literature. Indoor air 2005: 15: 27–52.

    Article  CAS  Google Scholar 

  7. US EPA.. Indoor Air Quality Basics for Schools. United States Environmental Protection Agency, Washington, DC, 1996.

  8. Weis B.K., Balshaw D., Barr J.R., Brown D., Ellisman M., and Lioy P., et al. Personalized exposure assessment: promising approaches for human environmental health research. Environ Health Perspect 2005: 113: 840–848.

    Article  CAS  Google Scholar 

  9. Schwab M., Terblanche A.P., and Spengler J.D. Self-reported exertion levels on time/activity diaries: application to exposure assessment. J Expo Anal Environ Epidemiol 1991: 1: 339–356.

    CAS  PubMed  Google Scholar 

  10. Wheeler A.J., Xu X., Kulka R., You H., Wallace L., and Mallach G., et al. Windsor, Ontario exposure assessment study: design and methods validation of personal, indoor, and outdoor air pollution monitoring. J Air Waste Manage Assoc 2011: 61: 324–338.

    Article  CAS  Google Scholar 

  11. George B.J., and McCurdy T. Investigating the American time use survey from an exposure modeling perspective. J Expo Sci Environ Epidemiol 2011: 21: 92–105.

    Article  CAS  Google Scholar 

  12. Klepeis N.E., Nelson W.C., Ott W.R., Robinson J.P., Tsang A.M., and Switzer P., et al. The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants. J Expo Anal Environ Epidemiol 2001: 11: 231–252.

    Article  CAS  Google Scholar 

  13. Leech J.A., Nelson W.C., Burnett R.T., Aaron S., and Raizenne M.E. It's about time: a comparison of Canadian and American time–activity patterns. J Expo Anal Environ Epidemiol 2002: 12: 427–432.

    Article  Google Scholar 

  14. Leech J.A., Wilby K., McMullen E., and Laporte K. The Canadian Human Activity Pattern Survey: report of methods and population surveyed. Chronic Dis Can 1996: 17: 118–123.

    CAS  Google Scholar 

  15. Rotko T., Oglesby L., Kunzli N., and Jantunen M.J. Population sampling in European air pollution exposure study, EXPOLIS: comparisons between the cities and representativeness of the samples. J Expo Anal Environ Epidemiol 2000: 10: 355–364.

    Article  CAS  Google Scholar 

  16. Dorre W.H. Time-activity patterns of some selected small groups as a basis for exposure estimation: a methodological study. J Expo Anal Environ Epidemiol 1997: 7: 471–491.

    CAS  Google Scholar 

  17. Freeman N.C., Lioy P.J., Pellizzari E., Zelon H., Thomas K., and Clayton A., et al. Responses to the region 5 NHEXAS time/activity diary. National Human Exposure Assessment Survey. J Expo Anal Environ Epidemiol 1999: 9: 414–426.

    Article  CAS  Google Scholar 

  18. Cattaneo A., Taronna M., Consonni D., Angius S., Costamagna P., and Cavallo D.M. Personal exposure of traffic police officers to particulate matter, carbon monoxide, and benzene in the city of Milan, Italy. J Occup Environ Hyg 2010: 7: 342–351.

    Article  CAS  Google Scholar 

  19. Byun H., Bae H., Kim D., Shin H., and Yoon C. Effects of socioeconomic factors and human activities on children's PM(10) exposure in inner-city households in Korea. Int Arch Occup Environ Health 2010: 83: 867–878.

    Article  Google Scholar 

  20. Viel J.F., Cardis E., Moissonnier M., de Seze R., and Hours M. Radiofrequency exposure in the French general population: band, time, location and activity variability. Environ Int 2009: 35: 1150–1154.

    Article  Google Scholar 

  21. Morabia A., Amstislavski P.N., Mirer F.E., Amstislavski T.M., Eisl H., and Wolff M.S., et al. Air pollution and activity during transportation by car, subway, and walking. Am J Prev Med 2009: 37: 72–77.

    Article  Google Scholar 

  22. Devi J.J., Gupta T., Tripathi S.N., and Ujinwal K.K. Assessment of personal exposure to inhalable indoor and outdoor particulate matter for student residents of an academic campus (IIT-Kanpur). Inhal Toxicol 2009: 21: 1208–1222.

    Article  Google Scholar 

  23. Glen G., Smith L., Isaacs K., McCurdy T., and Langstaff J. A new method of longitudinal diary assembly for human exposure modeling. J Expo Sci Environ Epidemiol 2008: 18: 299–311.

    Article  Google Scholar 

  24. Chodick G., Kleinerman R.A., Linet M.S., Fears T., Kwok R.K., and Kimlin M.G., et al. Agreement between diary records of time spent outdoors and personal ultraviolet radiation dose measurements. Photochem Photobiol 2008: 84: 713–718.

    Article  CAS  Google Scholar 

  25. Kwok R.K., Linet M.S., Chodick G., Kleinerman R.A., Freedman D.M., and Fears T., et al. Simplified categorization of outdoor activities for male and female US indoor workers: a feasibility study to improve assessment of ultraviolet radiation exposures in epidemiologic study questionnaires. Photochem Photobiol 2009: 85: 45–49.

    Article  CAS  Google Scholar 

  26. Briggs A.M., Straker L.M., Bear N.L., and Smith A.J. Neck/shoulder pain in adolescents is not related to the level or nature of self-reported physical activity or type of sedentary activity in an Australian pregnancy cohort. BMC Musculoskelet Disord 2009: 10: 87.

    Article  Google Scholar 

  27. Schmalwieser A.W., Cabaj A., Schauberger G., Rohn H., Maier B., and Maier H. Facial solar UV exposure of Austrian farmers during occupation. Photochem Photobiol 2010: 86: 1404–1413.

    Article  CAS  Google Scholar 

  28. Jang J.Y., Jo S.N., Kim S., Kim S.J., and Cheong H.K. Korean Exposure Factors Handbook. Ministry of Environment, Seoul, Korea, 2007, pp. 47–53. (Available at http://www.kefh.or.kr/new/general/general.php, accessed 22 August 2011.)

    Google Scholar 

  29. United States Environmental Protection Agency (US EPA). Exposure Factors Handbook. National Center for Environmental Assessment. Office of Research Development, VA, 1997. (Available at http://www.epa.gov/ncea/pdfs/efh/efh-complete.pdf, accessed 22 August 2011.)

  30. Pope C.A., Burnett R.T., Krewski D., Jerrett M., Shi Y., and Calle E.E., et al. Cardiovascular mortality and exposure to airborne fine particulate matter and cigarette smoke. Circulation 2009: 120: 941–948.

    Article  CAS  Google Scholar 

  31. Smith K.R., and Peel J.L. Mind the gap. Environ Health Perspect 2010: 118: 1643–1645.

    Article  CAS  Google Scholar 

  32. Yang W., Lee K., Yoon C., Yu S., Park K., and Choi W. Determinants of residential indoor and transportation activity times in Korea. J Expo Sci and Environ Epidemiol 2011: 21: 310–316.

    Article  Google Scholar 

  33. Environmental Mercury Mapping, Modeling and Analysis (EMMMA). Overview: What we do. (Available at http://emmma.usgs.gov/, accessed 22 August 2011.)

  34. Jarup L. Health and environmental information system for exposure and disease mapping, and risk assessment. Environ Health Perspect 2004: 112: 995–997.

    Article  Google Scholar 

  35. Nuckols J.R., Ward M.H., and Jarup L. Using geographic information systems for exposure assessment in environmental epidemiology studies. Environ Health Perspect 2004: 112: 1007–1015.

    Article  Google Scholar 

  36. Wallace L.A., Wheeler A.J., Kearney J., Ryswyk K.V., You H., and Kulk R.H., et al. Validation of continuous particle monitors for personal, indoor, and outdoor exposures. J Expo Sci and Environ Epidemiol 2011: 21: 49–64.

    Article  CAS  Google Scholar 

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Acknowledgements

This study was supported by the National Research Foundation of Korea (2009-0073407).

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Authors and Affiliations

  1. Department of Environmental Health, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea

    Chungsik Yoon, Kyongnam Ryu, Junghyun Kim & Kiyoung Lee

  2. Department of Environmental Health, Korea National Open University, Seoul, Republic of Korea

    Donguk Park

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  1. Chungsik Yoon
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  2. Kyongnam Ryu
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  3. Junghyun Kim
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Correspondence to Chungsik Yoon.

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Yoon, C., Ryu, K., Kim, J. et al. New approach for particulate exposure monitoring: determination of inhaled particulate mass by 24 h real-time personal exposure monitoring. J Expo Sci Environ Epidemiol 22, 344–351 (2012). https://doi.org/10.1038/jes.2012.28

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