A Study on the Prediction of SO2 Concentrations by the Regional Segment ISCST3 Modeling in the Seoul Metropolitan Area

지역 분할 방법에 의한 ISCST3 모델링으로 수도권 지역에서 SO2 농도 예측 연구

  • 구윤서 (안양대학교 환경공학과) ;
  • 김성태 (안양대학교 환경공학과) ;
  • 신봉섭 (안양대학교 정보통계공학과) ;
  • 신동윤 (용인대학교 환경보건학과) ;
  • 이정주 (용인대학교 환경보건학과)
  • Received : 2003.02.10
  • Accepted : 2003.07.16
  • Published : 2003.09.30


$SO_2$ concentrations in the Seoul Metropolitan Area (SMA) were predicted by the regional segment ISCST3 modeling. The SMA was segmented by three modeling regions where the weather monitoring station exists since the area of the SMA, approximately $100km{\times}100km$, is too wide to be modeled by one modeling domain. The predicted concentrations by the model were compared with the measured concentrations at 39 air monitoring stations located in the SMA to validate the ISCST3 modeling coupled with the regional segment approach. The predicted concentrations by the regional segment method showed better performance in depicting the measurements than those by the non-segment ISCST3 modeling. The correction methods of the calculated concentrations reviewed were here the correlation method by the first order linear equation and the ratio method of observed to calculated concentrations. The corrected concentrations by two methods showed good agreement with the measured data. The ratio method was, however, easily applicable to the concentration correction in case of a wide modeling region considered in this study.


Supported by : 안양대학교


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