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국소환경 모델을 이용한 초미세먼지(PM2.5) 노출 기여율 평가
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) 한국환경보건학회 2022 한국환경보건학회지 Vol.48 No.2
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.
서울시 구로구에서 COVID-19 발생 전ㆍ후 초미세먼지(PM2.5) 농도 변화에 따른 인구집단 노출평가
김동준(Dongjun Kim),민기홍(Gihong Min),최영태(Yongtae Choe),신준섭(Junshup Shin),우재민(Jaemin Woo),김동준(Dongjun Kim),신정현(Junghyun Shin),조만수(Mansu Jo),성경화(Kyeonghwa Sung),최윤형(Yoon-hyeong Choi),이채관(Chaekwan Lee),최길용(K 한국환경보건학회 2021 한국환경보건학회지 Vol.47 No.6
Background: The coronavirus disease (COVID-19) has caused changes in human activity, and these changes may possibly increase or decrease exposure to fine dust (PM2.5). Therefore, it is necessary to evaluate the exposure to PM2.5 in relation to the outbreak of COVID-19. Objectives: The purpose of this study was to compare and evaluate the exposure to PM2.5 concentrations by the variation of dynamic populations before and after the outbreak of COVID-19. Methods: This study evaluated exposure to PM2.5 concentrations by changes in the dynamic population distribution in Guro-gu, Seoul, before and after the outbreak of COVID-19 between Jan and Feb, 2020. Gurogu was divided into 2,204 scale standard grids of 100 m×100 m. Hourly PM2.5 concentrations were modeled by the inverse distance weight method using 24 sensor-based air monitoring instruments. Hourly dynamic population distribution was evaluated according to gender and age using mobile phone network data and time-activity patterns. Results: Compared to before, the population exposure to PM2.5 decreased after the outbreak of COVID-19. The concentration of PM2.5 after the outbreak of COVID-19 decreased by about 41% on average. The variation of dynamic population before and after the outbreak of COVID-19 decreased by about 18% on average. Conclusions: Comparing before and after the outbreak of COVID-19, the population exposures to PM2.5 decreased by about 40%. This can be explained to suggest that changes in people’s activity patterns due to the outbreak of COVID-19 resulted in a decrease in exposure to PM2.5.