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Evaluation on Indoor Air Quality by Statistical Analysis of Indoor Air Pollutants Concentration in a Seoul Metropolitan Underground Railway Station

서울시 지하역사 실내오염물질 농도자료의 통계분석을 통한 실내공기질 특성 평가

  • Yim, Bongbeen (R&D Center, NINECO Inc.) ;
  • Lee, Kyusung (R&D Center, NINECO Inc.) ;
  • Kim, Jooin (R&D Center, NINECO Inc.) ;
  • Hong, Hyunsu (R&D Center, NINECO Inc.) ;
  • Kim, Jangwon (Indoor Air Quality & Noise Monitoring Network Team, Korea Environment Corporation) ;
  • Jo, Kyung-Ho (Indoor Air Quality & Noise Monitoring Network Team, Korea Environment Corporation) ;
  • Jung, Eulgyu (Indoor Air Quality & Noise Monitoring Network Team, Korea Environment Corporation) ;
  • Kim, Inkyu (Indoor Air Quality & Noise Monitoring Network Team, Korea Environment Corporation) ;
  • An, Yeonsun (HQ of Climate & Air Quality Management, Korea Environment Corporation)
  • 임봉빈 ((주)나인에코 기업부설연구소) ;
  • 이규성 ((주)나인에코 기업부설연구소) ;
  • 김주인 ((주)나인에코 기업부설연구소) ;
  • 홍현수 ((주)나인에코 기업부설연구소) ;
  • 김장원 (한국환경공단 대기환경처 생활환경팀) ;
  • 조경호 (한국환경공단 대기환경처 생활환경팀) ;
  • 정을규 (한국환경공단 대기환경처 생활환경팀) ;
  • 김인규 (한국환경공단 대기환경처 생활환경팀) ;
  • 안연순 (한국환경공단 기후대기본부)
  • Received : 2014.03.12
  • Accepted : 2014.05.17
  • Published : 2014.06.30

Abstract

The objective of this study was to explore the characteristics of concentration of indoor air pollutants, such as $PM_{10}$, $CO_2$, and $NO_2$, measured by tele-monitoring system in a Seoul Metropolitan underground railway station from January 1, 2008 to December 31, 2012. The annual average concentration of indoor air pollutants actually varied over a wide range and was found to exhibit marked variation with time and measurement sites (tunnel inlet, platform, and concourse). After installing platform screen doors, the average $PM_{10}$ concentration on platform and concourse was decreased by 43.8% and 31.2%, respectively during the study periods. The relationship between the concentration of $PM_{10}$ and meteorological parameters (relative humidity and rainfall) or the Asian dust events was regarded as statistically significant. The correlations between the number of boarding/alighting passengers and $PM_{10}$, $CO_2$, and $NO_2$ were calculated. A p-value of less than 0.01 was regarded as significant except $NO_2$. The I/O ratio of $PM_{10}$ concentration was elevated after a congested time (about 08:00 am). The average I/O ratios of $NO_2$ were observed in concourse and platform on 03:00 am with $1.76{\pm}0.91$ and $1.50{\pm}0.51$, respectively. The average daily variation of standard excess rate of $PM_{10}$ and $NO_2$ concentration in concourse and platform was investigated. The highest standard excess rate was observed on 21:00 (09:00 pm).

Keywords

References

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