• Title/Summary/Keyword: CMB 모델

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Pollutant Sources Contribution Analysis of PM2.5 using The CMB Receptor Model (CMB 수용모델을 이용한 PM2.5의 오염원 기여도 분석)

  • Koo, Tai-Wan;Hong, Min-Sun;Moon, Su-Ho;Kim, Ho-Jung
    • Journal of the Korean Applied Science and Technology
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    • v.36 no.3
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    • pp.866-875
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    • 2019
  • In this study, The Chemical Mass Balance (CMB) model was used to identify pollutant sources and their contributions to $PM_{2.5}$. The contribution rankings by emission source in A city were ash dust (30.1%) > biomass burning (21.9%) > secondary pollutants (21.1%) > mobile source (19.3%) > area sources (7.6%), and The emission sources increased from the contribution of the CMB model and the Clean Air Policy Support System (CAPSS) emissions were biomass burning and secondary pollutants, and The emission sources reduced were mobile source, ash dust, and area sources.

Validation of the emission inventory of volatile organic compounds in Seoul (서울의 휘발성유기화합물 배출량 자료 검증)

  • Kim, Yong Pyo
    • Particle and aerosol research
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    • v.5 no.3
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    • pp.139-148
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    • 2009
  • In Seoul, the largest emission source for volatile organic compounds (VOCs) based on the emission inventory is solvent usage followed by vehicular exhaust. However, according to a CMB modeling result by Na and Kim (2007), vehicular exhaust was the largest emission source followed by solvent usage. Detailed analyses on the validity of the CMB model result were carried out and it was suggested that the existing emission inventory for VOCs might be underestimating vehicular emission. Scientific considerations that should be considered for the effective control strategy against VOCs are discussed.

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Sensitivity Analysis of the CMB Modeling Results by Considering Photochemical Degradation of Polycyclic Aromatic Hydrocarbons (PAHs) in the Seoul atmosphere (서울 대기에서 PAHs 광화학반응을 고려한 CMB 수용모델 결과 검토)

  • Cho, Ye Seul;Jung, Da Bin;Kim, In Sun;Lee, Ji Yi;Kim, Yong Pyo
    • Particle and aerosol research
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    • v.10 no.1
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    • pp.9-17
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    • 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.

CMB을 이용한 제주지역 대기중 미세입자의 오염원 규명에 관한 연구

  • 허철구;이기호;양순미
    • Proceedings of the Korean Environmental Sciences Society Conference
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    • 2000.05a
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    • pp.42-44
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    • 2000
  • 1999년 9월부터 2000년 2월까지 제주지역 에어로졸을 대상으로 측정분석된 자료를 토대로 오염원평가를 하고자 CMB모델을 수행하였다. 모델결과 조대입자에서는 자연적인 오염원으로 해염과 토양먼지등의 영향을 많이 받는 것으로 나타났고, 미세입자에서는 대체적으로 2차 오염물질의 영향을 많이 받고 있는 것으로 보아 오염물질이 외부에서의 유입, 대기중 오염물질의 장기체류로 인한 2차오염물질의 형성으로 사료된다.

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Source Apportionment and the Origin of Asian Dust Observed in Korea by Receptor Modelling (CMB) (수용모델(CMB)을 이용한 한반도에서 관측된 황사의 발원지 추정과 기여도에 대한 연구)

  • Shin S.A.;Han J.S.;Kim S.D.
    • Journal of Korean Society for Atmospheric Environment
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    • v.22 no.2
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    • pp.157-166
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    • 2006
  • Ambient TSP at four sites in Korea and soil samples from the source regions of Asian Dust in northern China were collected and analyzed for 15 metal components and 6 water-soluble ions to conduct a chemical mass balance (CMB). CMB receptor model was used to estimate the source contribution of TSP during the Asian Dust period, and the model results showed that China soil was the largest source contributor, accounting for 81% of TSP ($458.2{\mu}g/m^3$). Vehicle emission and geological sources contributed to about 8.8% and 4.4% of aerosol mass, followed by sea salt (1.5%) and secondary aerosol (2.9%). Fuel combustion and industrial process sources were found to be relatively minor contributors to TSP (${\leq}1%$). In addition to source contribution estimates, this study tried to identify the origin of Asian Dust observed in Korea. Among all 13 China soil profiles presented in this study, the most adoptable profile which can project the case well was selected and considered as the origin of the applied case.

Receptor Model(CMB) and Source Apportionments of VOCs in Seoul Metropolitan Area (수용모델(CMB)을 이용한 수도권 VOCs의 배출원별 기여율 추정)

  • Han, Jin-Seok;Hong, Y.D.;Shin, S.A.;Lee, S.U.;Lee, S.J.
    • Journal of Environmental Impact Assessment
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    • v.14 no.4
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    • pp.227-235
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    • 2005
  • Source contribution for VOCs collected in Seoul metropolitan area was conducted using PAMs (Photochemical assessment monitoring system) data and CMB(Chemical Mass Balance) model8.0, in order to estimate spatial and temporal variations of VOCs source contribution in that area, and also to compare with corresponding emission inventory. VOCs data used in model calculation were collected at 6 different sites of PAMs(Seokmori, Guwoldong, Simgokdong, Bulgwangdong, Jeongdong and Yangpyeong) and 22 out of 56 VOCs species were analyzed from June 2002 to march 2003 and used for CMB model estimation. The result showed that vehicle exhaust, coating and energy combustion were important sources of VOCs in Seoul metropolitan area, averaging 32.6%, 25.5% and 25.1%, respectively. In this study as well as other references, it was revealed that vehicle exhaust is the main contributor of urban area VOCs, but there is remarkable contrast between emission inventory and model estimation. Vehicle exhaust portion is seriously underestimated while coating is usually overestimated in emission estimates, compared to CMB results. Therefore, it is considered to assert and confirm the uncertainty of emission estimates and clarify the distinction between two other source apportionment methods.

Estimation of major sources of Polycyclic Aromatic Hydrocarbons (PAHs) in Seoul by using the receptor models (수용 모델을 이용한 서울시의 PAHs 주요 배출원 추정)

  • Han, Sang Hee;Lee, Ji Yi;Kim, Yong Pyo
    • Particle and aerosol research
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    • v.12 no.2
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    • pp.27-36
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    • 2016
  • The PMF result was compared with the result from the Chemical Mass Balance (CMB) modelling (Lee and Kim, 2007) to estimate major source of PAHs observed at Seoul from August 2002 to December 2003. Five major sources were estimated from PMF and CMB modellings respectively. Among them three major sources (coal combustion for residential, coke oven and biomass burning) were identified at both models.

Application of chemical Mass Balance Model for the Source Apportionment of Polynuclear Aromatic Hydrocarbons in Urban Atmosphere (도시 대기오염물중 다환방향족 탄화수소의 배출원 규명을 위한 화학물질 수지모델의 적용)

  • 구자공;서영화
    • Journal of Korean Society for Atmospheric Environment
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    • v.8 no.4
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    • pp.229-239
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    • 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.

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