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국소환경 모델을 이용한 초미세먼지(PM2.5) 노출 기여율 평가

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영문명
Evaluation of PM2.5 Exposure Contribution Using a Microenvironmental Model
발행기관
한국환경보건학회
저자명
신지훈(Jihun Shin) 최영태(Yongtae Choe) 김동준(Dongjun Kim) 민기홍(Gihong Min) 우재민(Jaemin Woo) 김동준(Dongjun Kim) 신정현(Junghyun Shin) 조만수(Mansu Cho) 성경화(Kyeonghwa Sung) 이종대(Jongdae Lee) 양원호(Wonho Yang)
간행물 정보
『1. 한국환경보건학회지』제48권 제2호, 59~65쪽, 전체 7쪽
주제분류
공학 > 환경공학
파일형태
PDF
발행일자
2022.04.30
4,000

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1:1 문의
논문 표지

국문 초록

영문 초록

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.

목차

Ⅰ. 서 론
Ⅱ. 연구 방법
Ⅲ. 결 과
Ⅳ. 고 찰
Ⅴ. 결 론
감사의 글
Conflict of Interest
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APA

신지훈(Jihun Shin),최영태(Yongtae Choe),김동준(Dongjun Kim),민기홍(Gihong Min),우재민(Jaemin Woo),김동준(Dongjun Kim),신정현(Junghyun Shin),조만수(Mansu Cho),성경화(Kyeonghwa Sung),이종대(Jongdae Lee),양원호(Wonho Yang). (2022).국소환경 모델을 이용한 초미세먼지(PM2.5) 노출 기여율 평가. 1. 한국환경보건학회지, 48 (2), 59-65

MLA

신지훈(Jihun Shin),최영태(Yongtae Choe),김동준(Dongjun Kim),민기홍(Gihong Min),우재민(Jaemin Woo),김동준(Dongjun Kim),신정현(Junghyun Shin),조만수(Mansu Cho),성경화(Kyeonghwa Sung),이종대(Jongdae Lee),양원호(Wonho Yang). "국소환경 모델을 이용한 초미세먼지(PM2.5) 노출 기여율 평가." 1. 한국환경보건학회지, 48.2(2022): 59-65

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