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국소환경 모델을 이용한 초미세먼지(PM2.5) 노출 기여율 평가Evaluation of PM2.5 Exposure Contribution Using a Microenvironmental Model

Other Titles
Evaluation of PM2.5 Exposure Contribution Using a Microenvironmental Model
Authors
신지훈최영태김동준민기홍우재민김동준신정현조만수성경화이종대양원호
Issue Date
Apr-2022
Publisher
한국환경보건학회
Keywords
PM2.5; exposure; microenvironment; time-activity pattern
Citation
한국환경보건학회지, v.48, no.2, pp 59 - 65
Pages
7
Journal Title
한국환경보건학회지
Volume
48
Number
2
Start Page
59
End Page
65
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/20705
DOI
10.5668/JEHS.2022.48.2.59
ISSN
1738-4087
2233-8616
Abstract
Background: Since people move through microenvironments rather than staying in one place, they may be exposed to both indoor and outdoor PM2.5 concentrations. Objectives: The aim of this study was to assess the exposure level of each sub-population group and evaluate the contribution rate of the major microenvironments. Methods: Exposure scenarios for sub-population groups were constructed on the basis of a 2019 Time-Use survey and the previous literature. A total of five population groups were classified and researchers wearing MicroPEM simulated monitoring PM2.5 exposure concentrations in real-time over three days. The exposure contribution for each microenvironment were evaluated by multiplying the inhalation rate and the PM2.5 exposure concentration levels. Results: Mean PM2.5 concentrations were 33.0 µg/m3 and 22.5 µg/m3 in Guro-gu and Wonju, respectively. When the exposure was calculated considering each inhalation rate and concentration, the home showed the highest exposure contribution rate for PM2.5. As for preschool children, it was 90.8% in Guro-gu, 94.1% in Wonju. For students it was 65.3% and 67.3%. For housewives it was 98.2% and 95.8%, and 59.5% and 91.7% for office workers. Both regions had higher exposure to PM2.5 among the elderly compared to other populations, and their PM2.5 exposure contribution rates were 98.3% and 94.1% at home for Guro-gu and Wonju, respectively. Conclusions: The exposure contribution rate could be dependent on time spent in microenvironments. Notably, the contribution rate of exposure to PM2.5 at home was the highest because most people spend the longest time at home. Therefore, microenvironments such as home with a higher contribution rate of exposure to PM2.5 could be managed to upgrade public health.
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