$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

노출평가 방법론에 대한 과거와 현재, 그리고 미래
Review of Exposure Assessment Methodology for Future Directions 원문보기

韓國環境保健學會誌 = Journal of environmental health sciences, v.48 no.3, 2022년, pp.131 - 137  

곽수영 (서울대학교 보건환경연구소) ,  이기영 (서울대학교 보건환경연구소)

Abstract AI-Helper 아이콘AI-Helper

Public interest has been increasing the focus on the management of exposure to pollutants and the related health effects. This study reviewed exposure assessment methodologies and addressed future directions. Exposure can be assessed by direct (exposure monitoring) or indirect approaches (exposure m...

주제어

참고문헌 (28)

  1. Lioy PJ. Assessing total human exposure to contaminants. A multi-disciplinary approach. Environ Sci Technol. 1990; 24(7): 938-945. 

  2. Nieuwenhuijsen M, Paustenbach D, Duarte-Davidson R. New developments in exposure assessment: the impact on the practice of health risk assessment and epidemiological studies. Environ Int. 2006; 32(8): 996-1009. 

  3. California Air Resources Board. Quality Assurance Air Monitoring Site Search. Available: https://www.arb.ca.gov/qaweb/siteinfo.php [accessed 1 April 2022]. 

  4. Korea Environment Corporation. AirKorea. Available: https://www.airkorea.or.kr/web [accessed 1 April 2022]. 

  5. 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. 

  6. Klepeis NE, Nelson WC, Ott WR, Robinson JP, Tsang AM, Switzer P, et al. The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants. J Expo Anal Environ Epidemiol. 2001; 11(3): 231-252. 

  7. Lee H, Shuai J, Woo B, Hwang MY, Park CH, Yu SD, et al. Assessment of time activity pattern for workers. J Korean Soc Occup Environ Hyg. 2010; 20(2): 102-110. 

  8. Yang W, Lee K, Yoon C, Yu S, Park K, Choi W. Determinants of residential indoor and transportation activity times in Korea. J Expo Sci Environ Epidemiol. 2011; 21(3): 310-316. 

  9. Yang W, Lee K, Park K, Yoon C, Son B, Jeon J, et al. Microenvironmental time activity patterns of weekday and weekend on Korean. J Korean Soc Indoor Environ. 2009; 6(4): 267-274. 

  10. Hwang Y, Lee K, Yoon CS, Yang W, Yu S, Kim G. Determination of similar exposure groups using weekday time activity patterns of urban populations. J Environ Health Sci. 2016; 42(6): 353-364. 

  11. Lee S, Lee K. Seasonal differences in determinants of time location patterns in an urban population: a large population-based study in Korea. Int J Environ Res Public Health. 2017; 14(7): 672. 

  12. 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. 

  13. Lim S, Kim J, Kim T, Lee K, Yang W, Jun S, et al. Personal exposures to PM 2.5 and their relationships with microenvironmental concentrations. Atmos Environ. 2012; 47: 407-412. 

  14. Hwang Y, Lee K. Contribution of microenvironments to personal exposures to PM 10 and PM 2.5 in summer and winter. Atmos Environ. 2018; 175: 192-198. 

  15. Guak S, Lee SG, An J, Lee H, Lee K. A model for population exposure to PM 2.5 : identification of determinants for high population exposure in Seoul. Environ Pollut. 2021; 285: 117406. 

  16. Langstaff JE, United States. Environmental Protection Agency. Health and Environmental Impacts Division. Air Pollutants Exposure Model documentation (APEX, Version 5). Research Triangle Park: U.S. Environmental Protection Agency; 2017. 

  17. Johnson TR, Langstaff JE, Graham S, Fujita EM, Campbell DE. A multipollutant evaluation of APEX using microenvironmental ozone, carbon monoxide, and particulate matter (PM 2.5 ) concentrations measured in Los Angeles by the exposure classification project. Cogent Environ Sci. 2018; 4: 1453022. 

  18. Kruize H, Hanninen O, Breugelmans O, Lebret E, Jantunen M. Description and demonstration of the EXPOLIS simulation model: two examples of modeling population exposure to particulate matter. J Expo Anal Environ Epidemiol. 2003; 13(2): 87-99. 

  19. Hanninen O, Kruize H, Lebret E, Jantunen M. EXPOLIS simulation model: PM2.5 application and comparison with measurements in Helsinki. J Expo Anal Environ Epidemiol. 2003; 13(1): 74-85. 

  20. Valari M, Markakis K, Powaga E, Collignan B, Perrussel O. EXPLUME v1.0: a model for personal exposure to ambient O 3 and PM 2.5 . Geosci Model Dev. 2020; 13: 1075-1094. 

  21. Kim Y, Lee S, Ban H, Cha S, Kim G, Lee K. Temporal variation of indoor air quality in daycare centers. J Environ Health Sci. 2017; 43(4): 267-272. 

  22. Guak S, Kim K, Yang W, Won S, Lee H, Lee K. Prediction models using outdoor environmental data for real-time PM 10 concentrations in daycare centers, kindergartens, and elementary schools. Build Environ. 2021; 187: 107371. 

  23. Kim T, Lee K, Yang W, Yu SD. A new analytical method for the classification of time-location data obtained from the global positioning system (GPS). J Environ Monit. 2012; 14(8): 2270-2274. 

  24. Zhao Y, Cai J, Zhu X, van Donkelaar A, Martin RV, Hua J, et al. Fine particulate matter exposure and renal function: a population-based study among pregnant women in China. Environ Int. 2020; 141: 105805. 

  25. Lim CC, Kim H, Vilcassim MJR, Thurston GD, Gordon T, Chen LC, et al. Mapping urban air quality using mobile sampling with low-cost sensors and machine learning in Seoul, South Korea. Environ Int. 2019; 131: 105022. 

  26. Wu TG, Chen YD, Chen BH, Harada KH, Lee K, Deng F, et al. Identifying low-PM 2.5 exposure commuting routes for cyclists through modeling with the random forest algorithm based on low-cost sensor measurements in three Asian cities. Environ Pollut. 2022; 294: 118597. 

  27. Kim KC, Park CS, Kim IH. Response of occupants to indoor environmental information. J Archit Inst Korea Plan Des. 2013; 29(7): 229-237. 

  28. National Institute of Environmental Research. Planning of Environmental Health 100+ Services. Incheon: National Institute of Environmental Research; 2013. 

저자의 다른 논문 :

관련 콘텐츠

오픈액세스(OA) 유형

BRONZE

출판사/학술단체 등이 한시적으로 특별한 프로모션 또는 일정기간 경과 후 접근을 허용하여, 출판사/학술단체 등의 사이트에서 이용 가능한 논문

이 논문과 함께 이용한 콘텐츠

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로