• 한국입자에어로졸학회지
• /
• 제10권1호
• /
• pp.9-17
• /
• 2014

Several studies have been carried out on the source contribution of the particulate Polycyclic Aromatic Hydrocarbons (PAHs) over Seoul by using the Chemical Mass Balance Model (CMB)(Lee and Kim, 2007; Kim et al., 2013). To confirm the validity of the modeling results, the modified model employing a photochemical loss rate along with varying residence times and the standard model that considers no loss were compared. It was found that by considering the photochemical loss rate, a better performance was obtained as compared to those obtained from the standard model in the CMB calculation. The modified model estimated higher contributions from coke oven, transportation, and biomass burning by 4 to 8%. However, the order of the relative importance of major sources was not changed, coke oven followed by transportation and biomass burning. Thus, it was concluded that the standard CMB model results are reliable for identifying the relative importance of major sources.

• 한국대기환경학회지
• /
• 제8권4호
• /
• pp.229-239
• /
• 1992

A receptor model application was performed by using a chemical mass balance (CMB) model to identify and apportion the specific source of airborne organic pollutants, particularly polynuclear aromatic hydrocarbons (PAHs). Source profiles of PAHs produced from the combustion of fossil fuels for CMB modeling were prepared by measuring them in emission gases. The emission sources which were examineed for the development of PAH source profiles are a coal-fired furnace using Yontan, a bunker-C iol heating boiler, and gasoline-and diesel engine automobiles. The ambient concentrations of PAHs were determined at four sites in Daejon city in 1991 with a seasonal variation. Wintertime air samples contained more extractable organic matter than summertime samples. The results of CMB modeling were various depending on the sampling sites and seasons, but the emission from bunker-C oil heating boliers was the predominant factor to affect local air quality throughout the year.

• 한국대기환경학회지
• /
• 제16권5호
• /
• pp.477-485
• /
• 2000

The data set was collected on fifty-eight different days with a 24-h sampling period from October 27, 1995 through August 25, 1996. From the chemical mass balance (CMB) analysis of $PM_{2.5}$ in the Chongju area, the contributions from soil, gasoline, diesel, light and heavy oil combustion were 2.6%, 15.4%, 9.0%, 28.8% and 1.5%, respectively. Residual $NO_{3}^{-}$), residual $SO_{4}^{2-}$ and residual OC, possibly formed in the atmosphere. represented additional 8.0, 10.2, and 1.6% of the $PM_{2.5}$, respectively. Other unidentified sources constituted the remaining 22.9%. From the CMB analysis, the $PM_{2.5}$ source contribution for fall, winter, spring and summer were 92, 76.8, 77.5 and 59.2%, respectively.

• 한국대기환경학회지
• /
• 제8권2호
• /
• pp.112-120
• /
• 1992

Twenty four metal, nonmetal elements and 4 major anions in total suspended particulates (TSP) collected at two sites in Daejon city from october to december in 1991 by a Hi-vol sampler were thoroughly analyzed by Inductively Coupled Plasma/ Atomic Emission Spectrometry (ICP/AES) and Ion Chromatography (IC). These analyzed data were used to perform a receptor modeling using the Chemical Mass Balance (CMB) for the source apportionment of TSP sample. Approximately 60% TSP weight in industrial complex area was influenced by potential industrial sources and 25% was by heating fuels and automobile emissions, whereas a half of TSP in residential area was influenced by surrounding environment and more than 35% of TSP was influenced by heating fuels. The CMB model provided source apportionment results reasonably and scientifically with a minor limitation.

• 한국대기환경학회지
• /
• 제19권6호
• /
• pp.789-803
• /
• 2003

The purpose of this study is to compare the usefulness between Gaussian dispersion model and receptor model with the experimental result of the dispersion tracing of the particulate pollutants from Taean coal-fired power plants. For this purpose, the component analysis of the collected PM 10 samples was performed. In order to trace the pollution sources, factor analysis was done with the result of the component analysis. As a result of the correlativity analysis of the fifteen power plants' profiles offered by US EPA, the correlativity of No.11202 source profile showed highest rate up to 84.5%. Thus it was adopted as proper one and the contribution rate by each pollution source was calculated by Chemical Mass Balance (CMB)-8 model. The contribution rate, which was the effect rate of the power plants on each measuring point, were calculated with a range of 24∼52％ and the standard error was below 0.9 $\mu\textrm{g}$/㎥. This indicates the selection of the source profile was appropriate. Also, the concentrations of each point were calculated by the ISCST3 which is suggested by US EPA as one of the regulatory Gaussian dispersion model. The calculation result showed that the predicted concentration was 50∼58 $\mu\textrm{g}$/㎥, comparing with the measured result of 9∼65 $\mu\textrm{g}$/㎥. It was found that the concentration calculated by ISCST3 was underpredicted. It was thought that the receptor model was more favorable than the Gaussian dispersion model in estimating the effect of the particulate matter on a certain receptive point.

• 대한환경공학회지
• /
• 제30권3호
• /
• pp.302-313
• /
• 2008

본 연구는 포항지역 대기 중 PM$_{2.5}$의 물리 화학적 성분들의 농도분포특성을 파악하여 PM$_{2.5}$에 대한 배출원 기여도를 정량적으로 추정하고 PM$_{2.5}$농도 변동에 영향을 미치는 배출원을 알아보고자 하였다. 시료채취지점은 포항지역 내의 대조적인 두 지점인 공업지역과 주거지역에서 각 1개 지점을 선정하였다. 시료채취는 2003년 3월부터 12월에 걸쳐서 계절별 10$\sim$15일 동안 고용량공기시료채취기를 이용하여 24시간 연속 채취였다. PM$_{2.5}$ 시료에 함유된 화학성분들은 산추출하여 ICP와 이온크로마토그래피로 분석하였다. PM$_{2.5}$의 전체평균은 공업지역이 36.6 $\mu$g/m$^3$, 주거지역에서 30.6 $\mu$g/m$^3$로 나타났다. 계절별로는 두 지점 모두 봄철에 가장 높은 농도를 보이고 있으며 다음으로 겨울철, 가을철, 여름철의 순으로 나타났다. 두 측정지점에서 PM$_{2.5}$ 중 가장 많이 함유된 화학성분들은 이차생성입자를 형성하는 성분인 NO$_3^-$, SO$_4^{2-}$으로 나타났으며 각각의 농도는 공업지역에서 4.2 및 8.6 $\mu$g/m$^3$, 주거지역에서 3.7 및 6.9 $\mu$g/m$^3$로 나타났다. 반면, 공업지역에서는 Fe, Mn, Cr 등의 금속성분 농도가 주거지역에 비해 상당히 높게 나타나 공업지역이 철강산업의 영향을 반영하고 있는 것으로 추측된다. 포항지역 대기 중 PM$_{2.5}$의 농도 변동에 미치는 주요 영향인자를 파악하기 위하여 주성분 분석 및 다중회귀분석을 실시한 결과, 공업지역과 주거지역에서 가장 중요한 변수는 도로 비산먼지와 이차생성입자인 것으로 나타났으며, 이들 변수의 변동이 전체 PM$_{2.5}$ 농도변동에 가장 큰 영향을 미친다는 것을 알 수 있었다. 또한 포항지역 PM$_{2.5}$에 대한 주요 발생원의 기여도를 평가하기 위하여 CMB 모델링을 수행한 결과 공업지역의 경우 기여도가 큰 발생원은 토사 및 도로상의 비산먼지로 나타났고 그 다음으로 이차생성입자, 자동차, 해염입자, 금속산업의 순을 보였으며 주거지역도 이와 유사한 양상을 보였다. 이와 같은 결과를 토대로 국내에서 측정된 먼지시료를 대상으로 CMB 모델링 수행 시 그 적용한계성과 문제점 등을 고찰하였다.