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On-road Air Pollution Characteristics around a Day-care Center in Urban Area

도심 어린이집 주변 도로상 대기오염도 특징

  • Woo, Sung Ho (Center for Environment, Health and Welfare Research, Korea Institute of Science and Technology) ;
  • Lee, Seung-Bok (Center for Environment, Health and Welfare Research, Korea Institute of Science and Technology) ;
  • Kim, Kyung Hwan (Center for Environment, Health and Welfare Research, Korea Institute of Science and Technology) ;
  • Lee, Gwangjae (Center for Environment, Health and Welfare Research, Korea Institute of Science and Technology) ;
  • Ryu, Sung Hee (Center for Environment, Health and Welfare Research, Korea Institute of Science and Technology) ;
  • Kim, Jong Bum (Center for Environment, Health and Welfare Research, Korea Institute of Science and Technology) ;
  • Bae, Gwi-Nam (Center for Environment, Health and Welfare Research, Korea Institute of Science and Technology)
  • 우성호 (한국과학기술연구원 환경복지연구단) ;
  • 이승복 (한국과학기술연구원 환경복지연구단) ;
  • 김경환 (한국과학기술연구원 환경복지연구단) ;
  • 이광재 (한국과학기술연구원 환경복지연구단) ;
  • 류성희 (한국과학기술연구원 환경복지연구단) ;
  • 김종범 (한국과학기술연구원 환경복지연구단) ;
  • 배귀남 (한국과학기술연구원 환경복지연구단)
  • Received : 2014.06.02
  • Accepted : 2014.06.25
  • Published : 2014.06.30

Abstract

Five on-road measurements were made using a mobile laboratory (ML) to characterize spatial and temporal air pollutant distributions over roads around a day-care center in urban area on 30 August 2013. Fixed monitoring was also done near the day-care center using the ML during the periods between on-road measurements. On-road air pollution monitoring route was classified into seven sections and three zones to identify severe polluted roads among many roads having different traffic volumes and directions. Typical pollutants emitted from vehicles such as $NO_x$, black carbon, particle-bound polycyclic aromatic hydrocarbons, and submicron particles including nanoparticles were monitored using real-time instruments. Peak concentration episodes were frequently observed during the on-road measurements and most peaks were simultaneously monitored at four pollutants. Colored on-road air pollution map for each pollutant provides an insight on spatial air pollution distribution, showing heavily polluted roads and sections. Average on-road $NO_x$ concentration of each run was similar to that monitored at the nearest roadside air monitoring station.

Keywords

Acknowledgement

Grant : 생활공감 환경보건기술개발사업

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