과제정보
본 연구는 환경부의 재원으로 한국환경산업기술원의 환경성질환예측평가기술개발 사업의 지원을 받아 수행되었습니다 (과제번호: 2021003320001).
참고문헌
- World Health Organization. Household Air Pollution and Health. Geneva: World Health Organization; 2021.
- Chen J, Zhou C, Wang S, Hu J. Identifying the socioeconomic determinants of population exposure to particulate matter (PM2.5) in China using geographically weighted regression modeling. Environ Pollut. 2018; 241: 494-503. https://doi.org/10.1016/j.envpol.2018.05.083
- Li C, Bai L, He Z, Liu X, Xu X. The effect of air purifiers on the reduction in indoor PM2.5 concentrations and population health improvement. Sustain Cities Soc. 2021; 75: 103298. https://doi.org/10.1016/j.scs.2021.103298
- Jeong H, Park D. Contribution of time-activity pattern and microenvironment to black carbon (BC) inhalation exposure and potential internal dose among elementary school children. Atmos Environ. 2017; 164: 270-279. https://doi.org/10.1016/j.atmosenv.2017.06.007
- Anderson HR, Favarato G, Atkinson RW. Long-term exposure to air pollution and the incidence of asthma: meta-analysis of cohort studies. Air Qual Atmos Health. 2013; 6: 47-56. https://doi.org/10.1007/s11869-011-0144-5
- Schweizer C, Edwards RD, Bayer-Oglesby L, Gauderman WJ, Ilacqua V, Jantunen MJ, et al. Indoor time-microenvironment-activity patterns in seven regions of Europe. J Expo Sci Environ Epidemiol. 2007; 17(2): 170-181. https://doi.org/10.1038/sj.jes.7500490
- Kim Y, Yang W, Son B. Estimation of total exposure to benzene, toluene and xylene by microenvironmental measurements for iron mill workers. Korean J Environ Health. 2007; 33(5): 359-364. https://doi.org/10.5668/JEHS.2007.33.5.359
- Ryu H, Yoon H, Eom I, Park J, Kim S, Cho M, et al. Time-activity pattern assessment for Korean students. J Environ Health Sci. 2018; 44(2): 143-152.
- Guak S, Lee S, An J, Lee H, Lee K. A model for population exposure to PM2.5: identification of determinants for high population exposure in Seoul. Environ Pollut. 2021; 285: 117406. https://doi.org/10.1016/j.envpol.2021.117406
- Park J, Jo W, Cho M, Lee J, Lee H, Seo S, et al. Spatial and temporal exposure assessment to PM2.5 in a community using sensor-based air monitoring instruments and dynamic population distributions. Atmosphere. 2020; 11(12): 1284. https://doi.org/10.3390/atmos11121284
- Cha S, Han Y, Bae G. Spatio-temporal distribution of PM10 and PM2.5 in Gangwon province of South Korea using air pollution monitoring network data. J Korean Soc Atmos Environ. 2020; 36(4): 492-506. https://doi.org/10.5572/kosae.2020.36.4.492
- Park J, Yang S, Park Y, Ryu H, Kim E, Choe Y, et al. Exposure and risk assessment of benzene and PM10 for sub-populations using Monte-Carlo simulations. J Environ Health Sci. 2019; 45(3): 247-257.
- National Institute of Environmental Research. Korean Exposure Factor Handbook for Children. Incheon: National Institute of Environmental Research; 2019.
- Statistics Korea. Time Use Survey 2019. Daejeon: Statistic Korea; 2020. Available: https://kostat.go.kr/portal/korea/kor_nw/1/6/4/index.board?bmode=read&aSeq=384161&pageNo=&rowNum=10&amSeq=&sTarget=&sTxt= [accessed 12 February 2022].
- Du Y, Wang Q, Sun Q, Zhang T, Li T, Yan B. Assessment of PM2.5 monitoring using MicroPEM: a validation study in a city with elevated PM2.5 levels. Ecotoxicol Environ Saf. 2019; 171: 518-522. https://doi.org/10.1016/j.ecoenv.2019.01.002
- National Institute of Environmental Research. Korean Exposure Factor Handbook. Incheon: National Institute of Environmental Research; 2019.
- Moschandreas DJ, Watson J, D'Abreton P, Scire J, Zhu T, Klein W, et al. Chapter three: methodology of exposure modeling. Chemosphere. 2002; 49: 923-946. https://doi.org/10.1016/S0045-6535(02)00237-0
- Lizana J, Almeida SM, Serrano-Jimenez A, Becerra JA, Gil-Baez M, Barrios-Padura A, et al. Contribution of indoor microenvironments to the daily inhaled dose of air pollutants in children. The importance of bedrooms. Build Environ. 2020; 183: 107188. https://doi.org/10.1016/j.buildenv.2020.107188
- Statistics Korea. Life Tables for Korea 2020. Daejeon: Statistics Korea; 2021.
- Cho H, Choi J, No W, Oh M, Kim Y. Accessibility of welfare facilities for elderly people in Daejeon, South Korea considering public transportation accessibility. Transp Res Interdiscip Perspect. 2021; 12: 100514.
- Sun W, Wang Y. Coupling analysis of transportation system and public cultural facilities based on POI Data--take Xi'an as an example. World Sci Res J. 2021; 7(4): 414-422.
- Jeong J, Lee S. Spatial distribution of particulate matters in comparison with land-use and traffic volume in Seoul, Republic of Korea. J Cadastre Land InformatiX. 2018; 48(1): 123-138. https://doi.org/10.22640/LXSIRI.2018.48.1.123
- Lim S, Kim J, Kim T, Lee K, Yang W, Jun S, et al. Personal exposures to PM2.5 and their relationships with microenvironmental concentrations. Atmos Environ. 2012; 47: 407-412. https://doi.org/10.1016/j.atmosenv.2011.10.043
- Kornartit C, Sokhi RS, Burton MA, Ravindra K. Activity pattern and personal exposure to nitrogen dioxide in indoor and outdoor microenvironments. Environ Int. 2010; 36(1): 36-45. https://doi.org/10.1016/j.envint.2009.09.004
- Burke JM, Zufall MJ, Ozkaynak H. A population exposure model for particulate matter: case study results for PM(2.5) in Philadelphia, PA. J Expo Anal Environ Epidemiol. 2001; 11(6): 470-489. https://doi.org/10.1038/sj/jea/7500188
- Scibor M, Balcerzak B, Galbarczyk A, Targosz N, Jasienska G. Are we safe inside? Indoor air quality in relation to outdoor concentration of PM10 and PM2.5 and to characteristics of homes. Sustain Cities Soc. 2019; 48, 101537. https://doi.org/10.1016/j.scs.2019.101537
- Korhonen A, Relvas H, Miranda AI, Ferreira J, Lopes D, Rafael S, et al. Analysis of spatial factors, time-activity and infiltration on outdoor generated PM2.5 exposures of school children in five European cities. Sci Total Environ. 2021; 785: 147111. https://doi.org/10.1016/j.scitotenv.2021.147111
- Statistics Korea. Population and Housing Census 2020. Daejeon: Statistics Korea; 2021.
- Buonanno G, Stabile L, Morawska L. Personal exposure to ultrafine particles: the influence of time-activity patterns. Sci Total Environ. 2014; 468-469: 903-907. https://doi.org/10.1016/j.scitotenv.2013.09.016