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×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 NO2, SO2 and PM10. Contributions of SO2 NO2 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 regionⅠ, 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.

Abstract
 1. 서 론
 2. 자료 및 방법
  2.1. 모델(TAPM)의 개요
  2.2. 사례일 선정 및 모델링 영역
  2.3. 배출량 입력자료
  2.4. 대기오염기여도 산정 방법
 3. 결과 및 고찰
  3.1. TAPM 모델 결과 검증
  3.2. 대기오염기여도 결과
 4. 결 론
 참 고 문 헌

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