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수도권지역에서의 권역간 대기오염물질 상호영향 연구

A Regional Source-Receptor Analysis for Air Pollutants in Seoul Metropolitan Area

  • 이용미 (국립환경과학원 대기제어연구과) ;
  • 홍성철 (국립환경과학원 기후변화연구과) ;
  • 유철 (국립환경과학원 대기제어연구과) ;
  • 김정수 (국립환경과학원 대기환경연구과) ;
  • 홍지형 (국립환경과학원 교통환경연구소) ;
  • 박일수 (한국외국어대학교)
  • Lee, Yong-Mi (Air Pollution Control Research Division, National Institute of Environmental Research) ;
  • Hong, Sung-Chul (Climate Change Research Division, National Institute of Environmental Research) ;
  • Yoo, Chul (Air Pollution Control Research Division, National Institute of Environmental Research) ;
  • Kim, Jeong-Soo (Air Quality Research Division, National Institute of Environmental Research) ;
  • Hong, Ji-Hyung (Transportation Pollution Research Center, National Institute of Environmental Research) ;
  • Park, Il-Su (Environmental Science, Han-Kuk University of Foreign Studies)
  • 투고 : 2010.01.29
  • 심사 : 2010.04.07
  • 발행 : 2010.05.31

초록

This study were to simulate major criteria air pollutants and estimate regional source-receptor relationship using air quality prediction model (TAPM ; The Air Pollution Model) in the Seoul Metropolitan area. Source-receptor relationship was estimated by contribution of each region to other regions and region itself through dividing the Seoul metropolitan area into five regions. According to administrative boundary, region I and region II were Seoul and Incheon in order. Gyeonggi was divided into three regions by directions like southern(region III), northern(IV) and eastern(V) area. Gridded emissions ($1km{\times}1km$) by Clean Air Pollicy Support System (CAPSS) of National Institute of Environmental Research (NIER) was prepared for TAPM simulation. The operational weather prediction system, Regional Data Assimilation and Prediction System (RDAPS) operated by the Korean Meteorology Administration (KMA) was used for the regional weather forecasting with 30km grid resolution. Modeling period was 5 continuous days for each season with non-precipitation. The results showed that region I was the most air-polluted area and it was 3~4 times more polluted region than other regions for $NO_2$, $SO_2$ and PM10. Contributions of $SO_2$ $NO_2$ and PM10 to region I, II and III were more than 50 percent for their own sources. However region IV and V were mostly affected by sources of region I, II and III. When emissions of all regions were assumed to reduce 10 and 20 percent separately, air pollution of each region was reduced linearly and the contributions of reduction scenario were similar to those of base case. As input emissions were reduced according to different ratio - region I 40 percent, region II and III 20 percent, region IV and V 10 percent, air pollutions of region I and III were decreased remarkably. The contributions to region I, II, III were also reduced for their own sources. However, region I, II and III affected more regions IV and V. Shortly, graded reduction of emission could be more effective to control air pollution in emission imbalanced area.

키워드

참고문헌

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