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Characteristics of PM10 in Gwangju Using Factor Analysis

인자분석을 이용한 광주지역 미세먼지(PM10)의 특성 연구

  • Lee, Se-Haeng (Gwanju Metropolitan Health & Environment Research Institute Department of Environmental Engineering) ;
  • Seo, Gwang-yeop (Gwanju Metropolitan Health & Environment Research Institute Department of Environmental Engineering) ;
  • Yoon, Sang-Hoon (Gwanju Metropolitan Health & Environment Research Institute Department of Environmental Engineering) ;
  • Yang, Yoon-Cheol (Gwanju Metropolitan Health & Environment Research Institute Department of Environmental Engineering) ;
  • Kim, Sun-Jung (Gwanju Metropolitan Health & Environment Research Institute Department of Environmental Engineering) ;
  • Cho, Young-gwan (Gwanju Metropolitan Health & Environment Research Institute Department of Environmental Engineering) ;
  • Bae, Seok-Jin (Gwanju Metropolitan Health & Environment Research Institute Department of Environmental Engineering)
  • 이세행 (광주광역시보건환경연구원 환경연구부) ;
  • 서광엽 (광주광역시보건환경연구원 환경연구부) ;
  • 윤상훈 (광주광역시보건환경연구원 환경연구부) ;
  • 양윤철 (광주광역시보건환경연구원 환경연구부) ;
  • 김선정 (광주광역시보건환경연구원 환경연구부) ;
  • 조영관 (광주광역시보건환경연구원 환경연구부) ;
  • 배석진 (광주광역시보건환경연구원 환경연구부)
  • Received : 2018.01.24
  • Accepted : 2018.03.23
  • Published : 2018.04.30

Abstract

The objective of this study was to estimate air quality trends in the study area by surveying monthly and seasonal concentration trends. To do this, the mass concentration of $PM_{10}$ samples and the metals, ions, and total carbon in the $PM_{10}$ were analyzed. The mean concentration of $PM_{10}$ was $33.9{\mu}g/m^3$. The composition of $PM_{10}$ was 39.2% ionic species, 5.1% metallic species, and 26.6% carbonic species (EC and OC). Ionic species, especially sulfate, ammonium, and nitrate, were the most abundant in the $PM_{10}$ and had a high correlation coefficient with $PM_{10}$. Seasonal variation of $PM_{10}$ showed a similar pattern to those of ionic and metallic species. with high concentration during the winter and spring seasons. $PM_{10}$ showed high correlation with the ionic species $NO_3{^-}$ and $NH_4{^+}$. In addition, $NH_4{^+}$ was highly correlated with $SO{_4}^{2-}$ and $NO_3{^-}$. We obtained four factors through factor analysis and determined the pollution sources using the United States Environmental Protection Agency(U.S. EPA) pollution profile. The first factor accounted for 51.1% of $PM_{10}$ from complex sources, that is, soil, motor vehicles, and secondary particles: the second factor indicated marine sources; the third factor, industry-related sources; and the last factor, heating-related sources. However, the pollution profile used in this study may be somewhat different from the actual situation in Korea because it was from US EPA. Therefore, to more accurately estimate the pollutants present, it is necessary to create a pollution profile for Korea.

Keywords

References

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