Assessment of Daily Personal PM2.5 Exposure Level According to Four Major Activities among Childrenopen access
- Authors
- Woo, Jiyoung; Rudasingwa, Guillaume; Kim, Sungroul
- Issue Date
- Jan-2020
- Publisher
- MDPI
- Keywords
- PM2; 5; activity-patterns; real-time; sensor; personal exposure assessment
- Citation
- Applied Sciences-basel, v.10, no.1
- Journal Title
- Applied Sciences-basel
- Volume
- 10
- Number
- 1
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/3240
- DOI
- 10.3390/app10010159
- ISSN
- 2076-3417
- Abstract
- Particulate matters less than 2.5 micrometers in diameter (PM2.5), whose concentration has increased in Korea, has a considerable impact on health. From a risk management point of view, there has been interest in understanding the variations in real-time PM2.5 concentrations per activity in different microenvironments. We analyzed personal monitoring data collected from 15 children aged 6 to 11 years engaged in different activities such as commuting in a car, visiting a commercial building, attending an education institute, and resting inside home from October 2018 to March 2019. The fraction of daily mean exposure duration per activity was 72.7 +/- 18.7% for resting inside home, 27.2 +/- 14.4% for attending an education institute, and 11.5 +/- 9.6% and 5.3 +/- 5.9% for visiting a commercial building, commuting in a car, respectively. Daily median (interquartile range) PM2.5 exposure amount was 88.9 (55.9-159.7) mu g in houses and that in education buildings was 43.3 (22.9-55.6) mu g. Real-time PM2.5 exposure levels varied by person and time of day (p-value < 0.05). This study demonstrated that our real-time personal monitoring and data analysis methodologies were effective in detecting polluted microenvironments and provided a potential person-specific management strategy to reduce a person's exposure level to PM2.5.
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Collections - College of Natural Sciences > Department of Environmental Health Science > 1. Journal Articles
- SCH Media Labs > Department of Big Data Engineering > 1. Journal Articles

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