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Selection of Priority Monitoring Areas for Hazardous Air Pollutants (HAPs) in Seoul using Geographic Information System

지리정보시스템을 활용한 서울시 유해대기오염물질 우선순위 측정지역 선정

  • Kim, Seong-Joon (School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST)) ;
  • Park, Hyeon-Jin (School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST)) ;
  • Lee, Sang-Jin (School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST)) ;
  • Kim, Chang-Hyeok (Center for Environment, Health and Welfare Research, Korea Institute of Science and Technology (KIST)) ;
  • Lee, Seung-Bok (Center for Environment, Health and Welfare Research, Korea Institute of Science and Technology (KIST)) ;
  • Choi, Sung-Deuk (School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST))
  • 김성준 (울산과학기술원 도시환경공학부) ;
  • 박현진 (울산과학기술원 도시환경공학부) ;
  • 이상진 (울산과학기술원 도시환경공학부) ;
  • 김창혁 (한국과학기술연구원 환경복지연구단) ;
  • 이승복 (한국과학기술연구원 환경복지연구단) ;
  • 최성득 (울산과학기술원 도시환경공학부)
  • Received : 2017.12.29
  • Accepted : 2018.02.20
  • Published : 2018.04.30

Abstract

As the Seoul metropolitan city has the largest numbers of population and vehicles, the citizens can be exposed to hazardous air pollutants(HAPs) mainly from the vehicular exhaust and human activities. In this study, we proposed a systematic method for the selection of priority monitoring areas for HAPs using Geographic Information System (GIS). First, emission parameters(emission data, vehicle registration, monitoring data, and so on) and population parameters (population and population density) were plotted using the inverse distance weighted (IDW) interpolation. Then, the interpolation data for individual parameters, which were normalized between 1 and 5 points, were compiled for 270 grids with a resolution of $2km{\times}2km$. The total score of each grid was calculated using weights(1~5) for the individual parameters. The final ranking of each grid was assigned by four scenarios with varying fractions of the emission and population parameters from 50 : 50 to 80 : 20. Consequently, nine grids were suggested as priority monitoring areas, and all of them are located in the southwestern part of Seoul.

Keywords

References

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