• 한국입자에어로졸학회지
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• 제16권1호
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• pp.19-30
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• 2020

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 PM_2.5 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 PM_2.5 of the Seoul atmosphere.

• 한국대기환경학회지
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• 제21권1호
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• pp.131-140
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• 2005

To investigate secondary carbonaceous species within PM$_{10}$ and PM$_{2.5}$ in Seoul urban Metropolitan Area (SMA), Korea. atmospheric particulate matters samples were collected at two sites of SMA at UOS (The University Of Seoul station) sites and IHU (InHa University of Incheon station) during the period of 4 to 14 January and 12 to 22 May, 11 to 15 August 2004, and their characteristics were qualitatively discussed. during January and May and August of 2004. Daily average mass concentration 0.095 mg/㎥ in PM$_{10}$ and 0.053 mg/㎥ in PM$_{2.5}$ for mass respectively. were observed in SMA. The concentrations of carbonaceous species contributed 18.4% and 16.4% of PM$_{2.5}$ and PM$_{10}$ during the sampling period, respectively, of which OC accounted for 68% and 52% more of the total carbon (TC). OC and EC concentrations and their mass percentages were higher in PM$_{2.5}$ than in PM$_{10}$ which could be attributed to generation process. Organic aerosols would constitute up to 38% of PM$_{2.5}$ based on the evaluation of 1.6 for the ratio of OC to organic particulate. Secondary organic carbon (SOC) were estimated to be more than 13% and up to 68% of total OC based on the minimum OC/EC ratio of 1.06/1.11 using least square method. Comparisons of OC and EC with trace elements. As results of carbonaceous species analysis, the dominant factor in view of fine particle (PM$_{10}$/PM$_{2.5}$) is primary emission source such as mobile, fossil fuel combustion etc. during winter time in SMA. But in summer periods, remarkable fine particle increasing factor was secondary organic carbon dependent to photochemical reaction. reaction.n. reaction.

• 환경영향평가
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• 제24권6호
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• pp.578-592
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• 2015

본 연구는 수도권 지역 OC와 EC의 지역적, 계절적 특성을 파악하기 위하여 서울 은평구 불광동에 위치한 수도권 대기오염집중측정소에서 2014년 1월부터 12월까지 1년간 Semi-Continuous OC/EC Analyzer (Sunset Laboratory INC., USA)를 사용하여 $PM_{2.5}$ 중 OC와 EC를 측정하였다. 그 결과, 수도권 지역의 OC와 EC의 연평균 농도(${\mu}g/m^3$)는 각각 $4.1{\pm}2.7$, $1.6{\pm}1.0$으로 나타났다. 계절별로 살펴보면 봄: $4.0{\pm}2.2$, $1.8{\pm}0.8$; 여름: $3.6{\pm}2.7$, $1.4{\pm}0.9$; 가을: $3.6{\pm}2.4$, $1.3{\pm}0.9$; 겨울: $5.2{\pm}3.3$, $2.0{\pm}1.3$으로 나타나 겨울 > 봄 > 여름 > 가을 순으로 높은 농도를 나타냈으며, OC/EC 비는 2.4 ~ 3.4 수준으로 여름이 가장 높고 봄이 가장 낮은 수준을 보였다. 시간별 OC, EC 농도 변화를 살펴보면, 출 퇴근시간인 아침과 저녁에 증가하는 경향을 보였으며, OC/EC 비 역시 출 퇴근시간대의 교통량 증가로 인한 EC농도 증가로 인해 급격히 낮아지는 현상을 보여 수도권 지역의 탄소성 입자 농도에 가장 큰 영향을 주는 것은 자동차와 같은 교통수단인 것으로 판단된다. 이번 연구를 통해 수도권 지역 탄소성분의 배출특성 및 계절별 특징, 농도 수준을 파악하고, 대기질 개선 정책의 효과적인 수립을 위한 과학적인 기초자료의 제공이 가능할 것으로 판단된다.