• Title/Summary/Keyword: CMB (Chemical Mass Balance)

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A Study on the Fine Particle($PM_{2.5}$) Source Profiles for Soil and Road Dust Applicable to Receptor Modeling (수용모델 적용을 위한 토양 및 도로먼지에 대한 미세입자 배출원 구성물질 성분비에 관한 연구)

  • 강병욱;이학성;이상권;강충민;최영민;이지영
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2001.11a
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    • pp.185-186
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    • 2001
  • 미세입자의 배출원을 추정하기 위해서는 수용지점에 영향을 미칠 수 있는 배출원의 화학적 특성에 관한 정보를 필요로 한다. 수용모델(chemical mass balance model, CMB)의 경우, 모델수행에 필요한 정보는 각각의 배출원에서 배출되는 입자의 화학적 구성성분특성을 파악하는 것이 가장 중요하다(Waton et al., 1984; U. S. EPA, 1987; 강병욱 등, 2000) 이러한 배출원으로는 각종 산업배출원, 자동차, 토양, 도로 비산먼지 등 지역의 특성에 따라서 다양한 배출원들이 대상이 될 수 있다. (중략)

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The Study on the Comparison of the ISCST3 Model and Receptor Model by Dispersion Tracing of Particulate Matter from Large Scale Pollution Sources (대단위배출원에서 기인한 입자상오염물질의 확산ㆍ추적을 통한 ISCST3모델과 수용모델의 비교연구)

  • 전상기;이성철;박경선
    • Journal of Korean Society for Atmospheric Environment
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    • v.19 no.6
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    • pp.789-803
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    • 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.

Development of the vac Source Profile using Collinearity Test in the Yeosu Petrochemical Complex (여수석유화학산단의 공선성 시험을 이용한 VOC 오염원 분류표 개발)

  • Jeon Jun-Min;Hur Dang;Hwang In Jo;Kim Dong-Sul
    • Journal of Korean Society for Atmospheric Environment
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    • v.21 no.3
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    • pp.315-327
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    • 2005
  • The total of 35 target VOCs (volatile organic compounds), which were included in the TO-14, was selected to develop a VOCs' source profile matrix of the Yeosu Petrochemical Complex and to test its collinearity by singular value decomposition(SVD) technique. The VOCs collected in canisters were sampled from 12 different sources such as 8 direct emission sources (refinery, painting, wastewater treatment plant, incinerator, petrochemical processing, oil storage, fertilizer plant, and iron mill) and 4 general area sources (gasoline vapor emission, graphic art activity, vehicle emission, and asphalt paving activity) in this study area, and then those samples were analyzed by GC/MS. Initially the resulting raw data for each profile were scaled and normalized through several data treatment steps, and then specific VOCs showing major weight fractions were intensively reviewed and compared by introducing many other related studies. Next, all of the source profiles were tested in terms of degree of collinearity by SVD technique. The study finally could provide a proper VOCs' source profile in the study area, which can give opportunities to apply various receptor models properly including chemical mass balance (CMB).

Determination of Cholesterol, Fatty Acids and Polyaromatic Hydrocarbons in PM10 Particles Collected from Meat Charbroiling (고기구이 스모크에서 채취한 PM10입자에서 콜레스테롤, 지방산과 PAH의 분포)

  • Seo, Young-Hwa;Ko, Kwang-Youn;Jang, Young-Kee
    • Journal of Korean Society of Environmental Engineers
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    • v.32 no.2
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    • pp.155-164
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    • 2010
  • Emission from biomass combustion such as meat charbroiling is an important source of organic aerosol. Since source profiles are necessary input profiles for source apportionment of aerosol by a chemical mass balance model, meat cooking organic source profiles are developed by measuring organic marker compounds, including palmitic acid, stearic acid, oleic acid and cholesterol as well as PAH compounds. Emissions from meat and pork charbroiling are collected on quartz filters with a PM10-high volume sampler, extracted with organic solvents, derivatized with diazomethane/TMS and analyzed by GC/MS isotope dilution method. Organic and elemental carbon are also analyzed by an OCEC analyzer. Wt.% of cholesterol to the organic carbon(OC) content from beef and pork charbroiling is only 0.056 and 0.062, but wt. % of all saturated fatty acids to the OC content from beef and pork charbroiling is 2.727 and 2.022, and the wt% of all unsaturated fatty acids to the OC content is 0.278 and 0.438, respectively. Content of total PAH compounds to the OC content from beef charbroiling is higher than that from pork charbroiling, and those are 0.116 wt% and 0.044 wt%. Among PAH compounds benzo(a)pyrene as a single compound is account for 0.0071 wt% and 0.0023 wt% of OC content from beef and pork charbroiling. Ratios of marker compound to cholesterol are calculated, and those values are in good agreement with the values already reported at the food cooking emission, indicating that they can be used as organic source profiles for the apportionment of organic aerosol.