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Validation for SOC Estimation from OC and EC concentration in PM2.5 measured at Seoul

서울 대기 중 PM2.5 내 OC와 EC로부터 SOC 추정방법의 비교 평가

  • Yoo, Ha Young (Department of Environmental Science & Engineering, Ewha Womans University) ;
  • Kim, Ki Ae (Department of Environmental Science & Engineering, Ewha Womans University) ;
  • Kim, Yong Pyo (Department of Chemical Engineering & Materials Science, Ewha Womans University) ;
  • Jung, Chang Hoon (Department of Health Management, Kyungin Women's University) ;
  • Shin, Hye Jung (Department of Air Quality Research, Climate and Air Quality Research Division, National Institute of Environmental Research) ;
  • Moon, Kwang Ju (Department of Air Quality Research, Climate and Air Quality Research Division, National Institute of Environmental Research) ;
  • Park, Seung Myung (Department of Air Quality Research, Climate and Air Quality Research Division, National Institute of Environmental Research) ;
  • Lee, Ji Yi (Department of Environmental Science & Engineering, Ewha Womans University)
  • 유하영 (이화여자대학교 환경공학과) ;
  • 김기애 (이화여자대학교 환경공학과) ;
  • 김용표 (이화여자대학교 화학신소재공학과) ;
  • 정창훈 (경인여자대학교 보건의료관리과) ;
  • 신혜정 (국립환경과학원 기후대기연구부 대기환경연구과) ;
  • 문광주 (국립환경과학원 기후대기연구부 대기환경연구과) ;
  • 박승명 (국립환경과학원 기후대기연구부 대기환경연구과) ;
  • 이지이 (이화여자대학교 환경공학과)
  • Received : 2020.02.24
  • Accepted : 2020.03.30
  • Published : 2020.03.31

Abstract

The organic carbon in the ambient particulate matter (PM) is divided into primary organic carbon (POC) and secondary organic carbon (SOC) by their formation way. To regulate PM effectively, the estimation of the amount of POC and SOC separately is one of important consideration. Since SOC cannot be measured directly, previous studies have evaluated determination of SOC by the EC tracer method. The EC tracer method is a method of estimating the SOC value from calculating the POC by determining (OC/EC)pri which is the ratio of the measured values of OC and EC from the primary combustion source. In this study, three different ways were applied to OC and EC concentrations in PM2.5 measured at Seoul for determining (OC/EC)pri: 1) the minimum value of OC/EC ratio during the measurement period; 2) regression analysis of OC vs. EC to select the lower 5-20% OC/EC ratio; 3) determining the OC/EC ratio which has lowest correlation coefficient value (R2) between EC and SOC which is reported as minimum R squared method (MRS). Each (OC/EC)pri ratio of three ways are 0.35, 1.22, and 1.77, respectively from the 1 hourly data. We compared the (OC/EC)pri ratio from 1hourly data with 24 hourly data and revealed that (OC/EC)pri estimated from 24 hourly data had twice larger than 1hourly data due to the low time resolution of sampling. We finally confirmed that the most appropriate value of (OC/EC)pri is that calculated by a regression analysis of 1 hourly data and estimated SOC amounts at PM2.5 of the Seoul atmosphere.

Keywords

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