논문 상세보기
pp.163-173
This study investigated the characteristics of personal PM2.5 exposure among 109 participants residing in Seoul over a two-month period, from February 2024 to April 2024. The participants were categorized into four sub-populations, and personal exposure to PM2.5 was assessed using portable monitors, GPS, and time-activity diaries. To understand the time-activity patterns, the daily occupancy rate for different microenvironments was calculated. Additionally, daily PM2.5 exposure contribution and integrated exposure were quantified. A time series analysis was conducted to identify differences in time-activity patterns and PM2.5 exposure among the sub-populations. ANOVA analysis indicated statistically significant differences in PM2.5 concentrations across populations and microenvironments (p<0.05). However, post-hoc analysis revealed specific microenvironments within certain sub-populations where PM2.5 concentration differences were not significant (p>0.05). All sub-populations spent more than 90% of their time indoors, and the results for exposure contribution and integrated exposure indicated that the home, which had the highest occupancy rate, was the most significant contributor to PM2.5 exposure. This study is expected to serve as foundational data for future indoor air quality management and the development of personalized strategies for reducing PM2.5 exposure.
2. 연구방법
2.1 연구대상
2.2 데이터 수집 및 보정
2.3 통계 분석
3. 결과 및 고찰
3.1 미소환경별 일일 점유율 및 시간별 변화 양상
3.2 인구집단별 PM2.5 노출 농도 및 시간별 변화 양상
3.3 미소환경별 평균 PM2.5 노출 농도
3.4 일일 노출 기여도 및 통합 노출량
4. 결 론
감사의 글
References
