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Characterization of a High PM 2.5 Exposure Group in Seoul Using the Korea Simulation Exposure Model for PM 2.5 (KoSEM-PM) Based on Time–Activity Patterns and Microenvironmental Measurements

Author

Listed:
  • Yunhyung Hwang

    (Department of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea)

  • Jaehoon An

    (Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea)

  • Kiyoung Lee

    (Department of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea
    Institute of Health and Environment, Seoul National University, Seoul 08826, Korea)

Abstract

The Korea Simulation Exposure Model for fine particulate matter (PM 2.5 ) (KoSEM-PM) was developed to estimate population PM 2.5 exposure in Korea. The data were acquired based on 59,945 min of the actual microenvironmental PM 2.5 measurements and on the time–activity patterns of 8072 residents of Seoul. The aims of the study were to estimate daily PM 2.5 exposure of Seoul population, and to determine the characteristics of a high exposure group. KoSEM-PM estimated population exposures by applying the PM 2.5 distribution to the matching time–activity patterns at 10-min intervals. The mean personal PM 2.5 exposure level of the surveyed subjects in Seoul was 26.0 ± 2.7 µg/m 3 (range: 21.0–40.2 µg/m 3 ) in summer. Factors significantly associated with high exposure included day of the week, age, industry sector, job type, and working hours. Individuals surveyed on Saturdays were more likely to be in the high exposure group than those surveyed on weekdays and Sundays. Younger, non-office-working individuals with longer working hours were more likely to be in the high exposure group. KoSEM-PM could be a useful tool to estimate population exposure levels to other region in Korea; to expand its use, microenvironmental measurements are required for other region in Korea.

Suggested Citation

  • Yunhyung Hwang & Jaehoon An & Kiyoung Lee, 2018. "Characterization of a High PM 2.5 Exposure Group in Seoul Using the Korea Simulation Exposure Model for PM 2.5 (KoSEM-PM) Based on Time–Activity Patterns and Microenvironmental Measurements," IJERPH, MDPI, vol. 15(12), pages 1-14, December.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:12:p:2808-:d:189438
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    Citations

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    Cited by:

    1. Raoul S. Liévanos, 2019. "Racialized Structural Vulnerability: Neighborhood Racial Composition, Concentrated Disadvantage, and Fine Particulate Matter in California," IJERPH, MDPI, vol. 16(17), pages 1-24, September.
    2. Liyang Liu & Hui Liu & Yiming Ma, 2022. "Surrogate-Assisted Fine Particulate Matter Exposure Assessment in an Underground Subway Station," IJERPH, MDPI, vol. 19(4), pages 1-25, February.
    3. Siyu Ma & Lin Yang & Mei-Po Kwan & Zejun Zuo & Haoyue Qian & Minghao Li, 2021. "Do Individuals’ Activity Structures Influence Their PM 2 . 5 Exposure Levels? Evidence from Human Trajectory Data in Wuhan City," IJERPH, MDPI, vol. 18(9), pages 1-27, April.

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