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

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Estimation of Source Contribution for PM10 by Chemical Mass Balance(CMB) in Busan

  • Jeon, Byung-Il;Lee, Young-Mi
    • Journal of Environmental Science International
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    • v.17 no.4
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    • pp.359-364
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    • 2008
  • PM10 samples were collected from July 2007 to Oct. 2007 at Gwaebopdong(inland area) and Dongsamdong(coastal area), in Busan. This paper investigates the contribution of emission sources to PM10 mass in Busan. Source apportionment results derived from the chemical mass balance(CMB) method. A source profiles applied in this study is organized to minimize the collinearity among sources type via statistical method. Source profiles applied in this study utilized a measured value of fine particle directly sampled from metropolitan area such as Seoul and Incheon, After a CMB modeling, sulfate and nitrate related sources among those contributing to PM10 in Busan showed high contribution by 36.53% in Gwaebopdong and 42.02% in Dongsamdong.

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.

Analysis of Organic Molecular Markers in Atmospheric Fine Particulate Matter: Understanding the Impact of "Unknown" Point Sources on Chemical Mass Balance Models

  • Bae, Min-Suk;Schauer, James J.
    • Journal of Korean Society for Atmospheric Environment
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    • v.25 no.3
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    • pp.219-236
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    • 2009
  • Particle-phase organic tracers (molecular markers) have been shown to be an effective method to assess and quantify the impact of sources of carbonaceous aerosols. These molecular markers have been used in chemical mass balance (CMB) models to apportion primary sources of organic aerosols in regions where the major organic aerosol source categories have been identified. As in the case of all CMB models, all important sources of the tracer compounds must be included in a Molecular Marker CMB (MM-CMB) model or the MMCMB model can be subject to biases. To this end, the application of the MM-CMB models to locations where reasonably accurate emissions inventory of organic aerosols are not available, should be performed with extreme caution. Of great concern is the potential presence of industrial point sources that emit carbonaceous aerosols and have not been well characterized or inventoried. The current study demonstrates that emissions from industrial point sources in the St. Louis, Missouri area can greatly bias molecular marker CMB models if their emissions are not correctly addressed. At a sampling site in the greater St. Louis Area, carbonaceous aerosols from industrial point sources were found to be important source of carbonaceous aerosols during specific time periods in addition to common urban sources (i.e. mobile sources, wood burning, and road dust). Since source profiles for these industrial sources have not been properly characterized, method to identify time periods when point sources are impacting a sampling site, needs to avoid obtaining biases source apportionment results. The use of real time air pollution measurements, along with molecular marker measurements, as a screening tool to identify when point sources are impacting a receptor site is presented.

Characterization of Inorganic Chemicals in Total Suspended Particulates and a Source Apportionment by Chemical Mass Balance Model (대기 분진의 무기 화학적 조성 분석과 Chemical Mass Balance에 의한 오염원 기여도 산출)

  • Seo, Young-Hwa;Koo, Ja-Kong
    • Journal of Korean Society for Atmospheric Environment
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    • v.8 no.2
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    • pp.112-120
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    • 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.

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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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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.

Source Identification of Fine Particle($PM_{2.5}$) in Chongju Using a Chemical Mass Balance Model (수용모델을 이용한 청주시 미세입자($PM_{2.5}$)의 기여도 추정)

  • 강병욱;이학성;김희강
    • Journal of Korean Society for Atmospheric Environment
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    • v.16 no.5
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    • pp.477-485
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    • 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.

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Estimation of Quantitative Source Contribution of VOCs in Seoul Area (서울지역에서의 VOCs 오염원 기여도 추정에 관한 연구)

  • 봉춘근;윤중섭;황인조;김창녕;김동술
    • Journal of Korean Society for Atmospheric Environment
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    • v.19 no.4
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    • pp.387-396
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    • 2003
  • A field study was conducted during the summer time of 2002 to determine compositions of volatile organic compounds (VOCs) emitted from vehicles and to develop source emission profiles that is applied to CMB model to estimate the source contribution of certain area. Source emission profile is widely used for the estimation of source contribution by the chemical mass balance model and have to be developed applicable for the target area of estimation. This study was aimed to develop source emission profile and estimation of source contribution of VOCs after application of the chemical mass balance (CMB) receptor model. After considering the emission inventory and other research results for the VOCs in Seoul, Korea, the sources like vehicle emission (tunnel), gas station (gasoline, diesel), solvent usage (painting operation, dry cleaning, graphic art), and gas fuels were selected for the major VOCs sources. Furthermore, ambient air samples were simultaneously collected from 09:00 to 11:00 for four days at eight different official air quality monitoring sites as receptors in Seoul during summer of 2001. Source samples were collected by canisters, and then about seventy volatile organic compounds were analyzed by gas chromatography with flame ionization detector (GC/FID). Based on both the developed source profiles and the database of the receptors, CMB model was intensively applied to estimate mass contribution of VOCs sources. Examining the source profile from the vehicle, the portion of alkanes of VOCs was highest, and then the portion of aromatics such toluene, m/p-xylene were followed. In case of gas fuel. they have their own components; the content of butane, propane, ethane was higher than any other component according to the fuel usage. The average of the source apportionment on VOCs for 8 sites showed that the major sources were vehicle emission and gas fuels. The vehicle emission source was revealed as having the highest contribution with an average of 49.6%, and followed by solvent with 21.3%, gas fuel with 16.1%, gasoline with 13.1%.

Development of Source Profiles and Estimation of Source Contribution for VOCs by the Chemical Mass Balance Model in the Yeosu Petrochemical Industrial Complex (여수석유화학산단 내 VOCs에 대한 오염원 분류표의 개발 및 CMB 모델에 의한 기여도 산정)

  • Jeon Jun-Min;Hur Dong;Kim Dong-Sul
    • Journal of Korean Society for Atmospheric Environment
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    • v.21 no.1
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    • pp.83-96
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    • 2005
  • The purposes of this study were to characterize the local levels of VOCs (volatile organic compounds), to develop source profiles of VOCs, and to quantify the source contribution of VOCs using the CMB (chemical mass balance) model. The concentration of VOCs had been measured every 6-day duration in the SRO monitoring site in the Yeosu Petrochemical Industrial Complex from September 2000 to August 2002. The total of 35 target VOCs, which were included in the TO-14 designated from the U.S. EPA, was selected to be monitored in the study area. During a 24-h period, the ambient VOCs were sampled by using canisters placing about 10 ~ 15 m above the ground level. The collected canisters were then analyzed by a GC-MS in the laboratory. Aside from ambient sampling at the SRO site, the VOCs had been intensively and massively measured from 8 direct sources and 4 general sources in the study area. The results obtained in the study were as follows; first, the annual mean concentrations of the target VOCs were widely distributed regardless of monitoring sites in the Yeosu Petrochemical Industrial Complex. In particular, the concentrations of BTX (Benzene, Toluene, Xylene), vinyl chloride were higher than other target compounds. Second, based on these source sample data, source profiles for VOCs were developed to apply a receptor model, the CMB model. Third, the results of source apportionment study for the VOCs in the SRO Site were as follows; The source of petrochemical plant was apportioned by 31.3% in terms of VOCs mass. The site was also affected by 16.7% from wastewater treatment plant, 14.0% from iron mills, 8.4% from refineries, 4.4% from oil storage, 3.8% from automobiles, 2.3% from fertilizer, 2.3% from painting, 2.2% from waste incinerator, 0.6% from graphic art, and 0.4% from gasoline vapor sources.