지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.8
- 수록면
- 171 - 180 (10page)
이용수
초록· 키워드
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Airborne carbonaceous substances in the school classroom cause an adverse effect on young children. This study attempted to find a correlation between carbons and fine particulate matters in 24 urban schools, focusing on class hours during which students can be exposed. Sampling and measurement of particulate pollutants were carried out without intentional control of classroom conditions to assess general indoor air quality. Statistical evaluation of the entire dataset showed that the average PM<SUB>2.5 </SUB>and PM<SUB>10</SUB> concentrations in classrooms (22.7 μg/㎥ and 43.3 μg/㎥) were lower than outdoors (34.0 μg/㎥ and 54.3 μg/㎥) on a gravimetric basis. Organic carbons in the classroom were 13.7 times higher than elemental carbons. Indoor black carbon (mainly introduced from outside), of which mean concentration monitored in real-time was1.04 μg/㎥, showed a high correlation coefficient (0.755) with 0.6 μm. Schools adjacent to large roads with high traffic were more vulnerable to black carbon exposure (1.3 to 2.2 μg/㎥) than residential areas (0.3 to 0.8 μg/㎥). Thus, careful environmental considerations are needed when managing indoor pollution and building new schools, particularly in developing and populated countries.
목차
ABSTRACT
1. Introduction
2. Method
3. Results and Discussion
4. Conclusions
References
참고문헌 (28)
참고문헌 신청
Jeong H, Park D. Characteristics of elementary school children's daily exposure to black carbon (BC) in Korea. Atmos. Environ. 2017;154:179-188. https://doi.org/10.1016/j.atmosenv.2017.01.045.
Rys A, Samek L. Measurement report: determination of black carbon concentration in PM2.5 fraction by Multi-wavelength absorption black carbon instrument (MABI). Atmos. Chem. Phys. 2021;1-14. https://doi.org/10.5194/acp-2021-766.
Roosbroeck SV, Hoek G, Meliefste K, Janssen NA, Brunekreef B. Validity of residential traffic intensity as an estimate of long‐ term personal exposure to traffic‐ related air pollution among adults. Environ. Sci. Technol. 2008;42:1337-1344. https://doi.org/10.1021/es0712827.
Jansen KL, Larson TV, Koenig JQ, et al. Associations between health effects and particulate matter and black carbon in subjects with respiratory disease. Environ. Health. Perspec. 2005;113:1741-1746. https://doi.org/10.1289/ehp.8153.
Chen Y, Xie X, Shi Z, et al. Brown carbon in atmospheric fine particles in Yangzhou, China: Light absorption properties and source apportionment. Atmos. Res. 2020;244:105028. https://doi.org/10.1016/j.atmosres.2020.105028.
Rys A, Samek L. Measurement report: determination of black carbon concentration in PM2.5 fraction by Multi-wavelength absorption black carbon instrument (MABI). Atmos. Chem. Phys. 2021;1-14. https://doi.org/10.5194/acp-2021-766.
Roosbroeck SV, Hoek G, Meliefste K, Janssen NA, Brunekreef B. Validity of residential traffic intensity as an estimate of long‐ term personal exposure to traffic‐ related air pollution among adults. Environ. Sci. Technol. 2008;42:1337-1344. https://doi.org/10.1021/es0712827.
Jansen KL, Larson TV, Koenig JQ, et al. Associations between health effects and particulate matter and black carbon in subjects with respiratory disease. Environ. Health. Perspec. 2005;113:1741-1746. https://doi.org/10.1289/ehp.8153.
Chen Y, Xie X, Shi Z, et al. Brown carbon in atmospheric fine particles in Yangzhou, China: Light absorption properties and source apportionment. Atmos. Res. 2020;244:105028. https://doi.org/10.1016/j.atmosres.2020.105028.
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