Variation of PM10 Concentration in Seoul in Association with Synoptic Meteorological Conditions

종관기상장에 따른 서울 지역 미세먼지 농도 변화

  • Lee, Jung-Young (Environmental Diagnostics Research Department, National Institute of Environmental Research) ;
  • Han, Jin-Seok (Environmental Diagnostics Research Department, National Institute of Environmental Research) ;
  • Kong, Boo-Joo (Global Environment Research center, National Institute of Environmental Research) ;
  • Hong, You-Deog (Environmental Diagnostics Research Department, National Institute of Environmental Research) ;
  • Lee, Jong-Hyun (Korea Eco-Products Institute) ;
  • Chung, Il-Rok (Environmental Diagnostics Research Department, National Institute of Environmental Research)
  • 이정영 (국립환경과학원 대기환경과) ;
  • 한진석 (국립환경과학원 대기환경과) ;
  • 공부주 (국립환경과학원 지구환경연구소) ;
  • 홍유덕 (국립환경과학원 대기환경과) ;
  • 이종현 (친환경상품진흥원) ;
  • 정일록 (국립환경과학원 대기환경과)
  • Received : 2007.08.27
  • Accepted : 2007.10.04
  • Published : 2007.10.30

Abstract

To evaluate dominant synoptic classes which affect on $PM_{10}$ concentration in Seoul, 64 synoptic classes are classified from four seasons, 850hPa geopotential wind and lower level stability Index. In this study, we used air monitoring and meteorological data in Seoul for five years from 2001 to 2005. The results indicate that the highest occurrence frequency of synoptic class is under a strong westerly geopotential wind and stable lower atmosphere in spring. The highest $PM_{10}$ concentration of synoptic class is associated with a weak geopotential wind speed and high lower level stability. In that class, not only $PM_{10}$ but $SO_2$, $NO_2$ and CO concentrations are also higher than other classes. The analysis of spacial distribution of $PM_{10}$ concentration in each class are indicate that the influence of synoptic class are similar in the Metropolitan area in Korea. But $PM_{10}$ concentration in some areas in Kyoung-Gi are more higher than in Seoul. The relationship between $PM_{10}$ concentration and Meteorological indicator (relative humidity, temperature, surface wind speed) under same synoptic class is more correlative in Winter than other season.

Keywords

References

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