Journal of Korean Society for Atmospheric Environment (한국대기환경학회지)

Korean Society for Atmospheric Environment (한국대기환경학회)
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Spatial Distribution of Air Pollution in the Ulsan Metropolitan Region

울산지역 대기오염 공간분포

  • Oh, Inbo (Environmental Health Center, University of Ulsan College of Medicine) ;
  • Bang, Jin-Hee (Environmental Health Center, University of Ulsan College of Medicine) ;
  • Kim, Soontae (Department of Environmental Safety Engineering, Ajou University) ;
  • Kim, Eunhye (Department of Environmental Safety Engineering, Ajou University) ;
  • Hwang, Mi-Kyoung (Department of Atmospheric Sciences, Pusan National University) ;
  • Kim, Yangho (Department of Occupational & Environmental Medicine, University of Ulsan College of Medicine)
  • 오인보 (울산대학교 의과대학 환경보건센터) ;
  • 방진희 (울산대학교 의과대학 환경보건센터) ;
  • 김순태 (아주대학교 환경공학과) ;
  • 김은혜 (아주대학교 환경공학과) ;
  • 황미경 (부산대학교 대기환경과학과) ;
  • 김양호 (울산대학교 의과대학 직업환경의학교실)
  • Received : 2016.07.12
  • Accepted : 2016.08.08
  • Published : 2016.08.31
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Abstract

The spatial air pollution distribution of the Ulsan metropolitan region (UMR) was analyzed using monitoring data and high-resolution numerical simulations. A three-year (2011~2014) analysis for the average concentrations from the 13 air quality monitoring sites in the UMR showed that $SO_2$ and $PM_{10}$ levels in industrial regions were much higher than those in other regions, whereas spatial differences of $NO_2$ and CO concentrations were not significant. In particular, elevated $O_3$ concentrations were clearly found at urban sites near petrochemical complex area. Results from high-resolution simulations by CMAQ model performed for four months of 2012 showed large spatial variations in grid-average pollutant concentrations between industrial areas and other areas in the UMR, which displayed significant changes with wind pattern by season. It was noted that the increases of $SO_2$ and $PM_{10}$ levels were limited in costal industrial areas or over the area nearby the sea in all seasons. Modeled $O_3$ concentrations were quite low in industrial areas and main urban roads with large $NO_x$ emissions. However, the model presented that all pollutant concentrations were significantly increased in the urban residential areas near the industrial complexes in summer season with increase of southerly wind.

Keywords

References

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