Journal of Environmental Health Sciences (한국환경보건학회지)

Korean Society of Environmental Health (한국환경보건학회)
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Evaluation of PM2.5 Exposure Contribution Using a Microenvironmental Model

국소환경 모델을 이용한 초미세먼지(PM2.5) 노출 기여율 평가

  • Shin, Jihun (Department of Occupational Health, Daegu Catholic University) ;
  • Choe, Yongtae (Department of Occupational Health, Daegu Catholic University) ;
  • Kim, Dongjun (Department of Occupational Health, Daegu Catholic University) ;
  • Min, Gihong (Department of Occupational Health, Daegu Catholic University) ;
  • Woo, Jaemin (Department of Occupational Health, Daegu Catholic University) ;
  • Kim, Dongjun (Department of Occupational Health, Daegu Catholic University) ;
  • Shin, Junghyun (Department of Occupational Health, Daegu Catholic University) ;
  • Cho, Mansu (Department of Occupational Health, Daegu Catholic University) ;
  • Sung, Kyeonghwa (Center of Environmental Health Monitoring, Daegu Catholic University) ;
  • Lee, Jongdae (Department of Environmental Health Science, Soonchunhyang University) ;
  • Yang, Wonho (Department of Occupational Health, Daegu Catholic University)
  • 신지훈 (대구가톨릭대학교 산업보건학과) ;
  • 최영태 (대구가톨릭대학교 산업보건학과) ;
  • 김동준 (대구가톨릭대학교 산업보건학과) ;
  • 민기홍 (대구가톨릭대학교 산업보건학과) ;
  • 우재민 (대구가톨릭대학교 산업보건학과) ;
  • 김동준 (대구가톨릭대학교 산업보건학과) ;
  • 신정현 (대구가톨릭대학교 산업보건학과) ;
  • 조만수 (대구가톨릭대학교 산업보건학과) ;
  • 성경화 (대구가톨릭대학교 환경보건모니터링센터) ;
  • 이종대 (순천향대학교 환경보건학과) ;
  • 양원호 (대구가톨릭대학교 산업보건학과)
  • Received : 2022.02.13
  • Accepted : 2022.04.01
  • Published : 2022.04.30
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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 ㎍/m3 and 22.5 ㎍/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.

Keywords

Acknowledgement

본 연구는 환경부의 재원으로 한국환경산업기술원의 환경성질환예측평가기술개발 사업의 지원을 받아 수행되었습니다 (과제번호: 2021003320001).

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