연구동향 분석
박사

광주 지역 PM2.5의 광학적 및 화학적 특성을 이용한 오염원의 정량적 평가 = Quantitative Evaluation of pollution sources of PM2.5 using optical and chemical properties of PM2.5 in Gwangju

유근혜 2020년

논문상세정보
인용/피인용
' 광주 지역 PM2.5의 광학적 및 화학적 특성을 이용한 오염원의 정량적 평가 = Quantitative Evaluation of pollution sources of PM2.5 using optical and chemical properties of PM2.5 in Gwangju' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 위생과 도시 공학
  • Aerosol
  • ftir
  • high concentration
  • pm2.5
  • pmf
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
1,257 0

0.0%

' 광주 지역 PM2.5의 광학적 및 화학적 특성을 이용한 오염원의 정량적 평가 = Quantitative Evaluation of pollution sources of PM2.5 using optical and chemical properties of PM2.5 in Gwangju' 의 참고문헌

  • 황사와 연무 현상 시 개개 대기미세입자의 특성 변화 및 독성 분 석 , 국제협력연구사업 결과보고서
    노철언 2012K1A2B1A03000431 [2014]
  • 해외 바이오매스 이용 현황
  • 기후변화 및 대기오염물질 동시 저감을 위한 정책연구(Ⅰ), 국립환경과학원, 기후대기연구부 지구환경연구과
  • ¡°SourceCharacterization and Apportionment of PM10 , PM2.5 and PM0.1 by Using Positive Matrix Factorization¡±
    12 , 476 ? 491 [2012]
  • ¡°Source Apportionment of PM2.5 in Gyeongsan Using the PMF Model¡±
    31 ( 6 ) , 508-519 [2015]
  • ¡°Semi-continuous Measurements of PM2.5 OC and EC at Gosan : Seasonal Variations andCharacteristics of High-concentration Episodes¡±
    29 ( 3 ) , 237-250 [2013]
  • ¡°Research Trends of Receptor Models in Korea and ForeignCountries and Improvement Directions for Air Quality Management¡±
    29 ( 4 ) , 459-476 [2013]
  • [23] EPA, 2015, EPA Inventory of US Greenhouse Gas Emissions, EPA-430-R-15-004, Washington, D.C.
  • The Research on the Estimation of Source Apportionment of PM2.5 in Busan
    24 ( 1 ) , 174-184 [2014]
  • The PM2.5 Concentration and Components Characteristics in Miryang
    16 ( 12 ) , 1355-1367 [2007]
  • The Influence of Meterological Factors on PM10 Concentration in Incheon
    23 ( 3 ) , 322-33 [2007]
  • The Characteristics and Seasonal Variations of OC and EC for PM2.5 in Seoul Metropolitan Area in 2014
    24 ( 6 ) , 578-592 [2015]
  • Study on Characteristics of PM2.5 and Its Ionic Constituents in Chuncheon , Korea
    24 ( 6 ) , 682-692 [2009]
  • Speciation of Ambient Sulfate Particulate Matter Using FT-IR-Based Absorption toComplement WetChemical and Thermal Speciation Measurements
    48 ( 6 ) , 706 [1994]
  • Sources of organicCarbon in fine particulate matter in northern European urban air
    8 , 6281-6295 [2008]
  • Sources of humic-like substances ( HULIS ) in PM2.5 in Beijing : Receptor modeling approach
    671 , 765-775 [2019]
  • Source apportionment of PM2.5 using positive matrix factorization ( PMF ) at a rural site in Korea
    214 , 325-334 [2018]
  • Source apportionment of PM10in Delhi , India using PCA/APCS
    37 , 107-118 [2018]
  • Source apportionment of PM10 at a small industrial area using Positive Matrix Factorization
    95 ( 1 ) , 88-100 [2010]
  • Source apportionment and longrange transport of airborne PM2.5 at a huge residential area located in a metropolitanCity using INAA
    [2012]
  • Source Identification and Apportionment of PM2.5 in Baengnyeong Island , Korea in 2015
    16 ( 4 ) , 461-471 [2016]
  • Source Apportionment of PM2.5 and Selected Hazardous Air Pollutants in Seattle
    386 , 42 ? 52 [2007]
  • Source Apportionment of PM10 at Pyeongtaek Area Using Positive Matrix Factorization ( PMF ) Model
    34 ( 6 ) , 849-864 [2018]
  • Source Apportionment andChemicalCharacteristics of Atmospheric PM2.5 in an Agricultural Area of Korea
    27 ( 5 ) , 431-446 [2018]
  • Shin, .H.J.Analysis of the Factors Influencing PM2.5 in Korea: Focusing on Seasonal Factors
    Park, S.N. 환경정책 , 25(1), 227-248 [2017]
  • Shen, Z., Zhang, Q., Cao, J., Zhang, L., Lei, Y., Huang, Y., Huang. R.J., Gao, J., Zhao, Z., Zhu, C., Yin, X., Zheng, C., Xu, H., Liu, S. (2017) Optical properties and possible sources of brown carbon in PM2.5 over Xi'an, China, Atmospheric Environment, 150, 322-330
  • PM2.5Characterization and Its Source Apportionment Based on Real-Time Seoul Monitoring Data by PMF Model
    [2017]
  • Long-term Trends of the Concentrations of Mass and Chemical Composition in PM 2.5 over Seoul
    31 ( 2 ) , 143-156 [2015]
  • Lee, Y.J., Jung, S.A., Jo, m.R., Kim, S.J., Park, M.K., Ahn, J.Y., Lyu, Y.S., Choi, W.J., Hong, Y.d., Han, J.S., Lim, .H. (2014) Characteristics of PM Chemical Component during Haze Episode and Asian Dust at Gwang-ju, Journal of Korea Society for Atmospheric Environment, 30(5), 434-448
  • Investigation on Characteristics of High PM2.5 Pollution Occurred during October 2015 in Gwangju
    34 ( 4 ) , 567-587 [2018]
  • Inter-comparison of source apportionment of PM10 using PMF and CMB in three sites nearby an industrial area in Central Italy
    182 , 282 ? 293 [2016]
  • Infrared Spectroscopy of the Microhydrated Nitrate Ions NO3- ( H2O ) 1-6
    113 , 7584-7592 [2009]
  • Identifying Ambient PM2.5 Sources and Estimating their Contributions by Using PMF : Separation of Gasoline and Diesel Automobile Sources by Analyzing ECs and OCs
    25 ( 4 ) , 275-288 [2009]
  • IR 및 FT-IR 분광광도계
    오도석 대한산업보건협회, 91, 12-16 [1995]
  • Hygroscopic and phase separation properties of ammonium sulfate/organics/water ternary solutions
    15 , 8975-8986 [2015]
  • Hwang, Y.J., Lee, S.J., Do, H.S., Lee, Y.K., Son, T.J., Kwon, T.g., Han, J.W., Kang, D.H., Kim, J.W. (2009) The Analysis of PM10 Concentration and the Evaluation of Influences by Meteorological Factors in Ambient Air of Daegu Area, Journal of Korea Society for Atmospheric Environment, 25(5), 459-471
  • H. ( 2017 ) Source apportionment of atmospheric pollutants based on the online data by using PMF and ME2
    , Atmospheric Research
  • FTIR measurements of functional groups and organic mass in aerosol samples over the Caribbean
    36 , 5185-5196 [2002]
  • FTIR analysis of surface functionalities on particulate matter produced by off-road diesel engines operating on diesel and biofuel
    22 , 4534-4544 [2015]
  • FTIR Analysis of Particulate Matter Collected on Teflon Filters in Columbus ,
    [2005]
  • FT-IR 분광법
    김성수 오상룡 Bulletin of food technology, 3(3), 17-22 [1990]
  • D. gail , N. K. , Gong , X . ( 2017 ) Variations of aerosol size distribution , chemical composition and
    environment : A
  • Concentrations and chemical compositions of PM10 during hazy and non-hazy days in Beijing
    87 , 1-9 [2020]
  • Concentrations and Characteristics of Carbonaceous Compounds n PM10 over Seoul : Measurement between 2006 and 2007
    31 ( 4 ) , 345-355 [2015]
  • Composition comparison of PM10 and PM2.5 fine particulate matter for Asian dust and haze events of 2010-2011 at Gosan site in Jeju Island
    27 ( 1 ) , 1-10 [2014]
  • Complementary online aerosol mass spectrometry and offline FT-IR spectroscopy measurements : Prospects and challenges for the analysis of anthropogenic aerosol particle emissions
    166 , 92-98 [2017]
  • Comparison of OC and EC Measurement Results Determined by Thermal-optical Analysis Protocols
    31 ( 5 ) , 449-460 [2015]
  • Chen, W.N., Chen, Y.Ch., Kuo, C.Y., Chou, C.H., Cheng, C.H., Huang, C.C., Chang, S.Y., Raman, M.R., Shang, W.L., Chuang, T.Y., Liu, S.C. (2014) The real-time method of assessing the contribution of individual sources on visibility degradation in Taichung, Science of the Total Environment, 497-498, 219-228
  • Chemical characterization of humic-like substacnes ( HULIS ) in PM2.5 in Lanzhou , China , Science of the Total Environment , 573 , 1481 ? 1490
    [2016]
  • Chemical Composition and Source Apportionment of PM2.5 in Jeju City in 2017
    21 ( 2 ) , 61-70 [2017]
  • Chemical Characteristics of Water Soluble Components in Fine Particulate Matter at a Gwangju area
    48 ( 1 ) , 20-26 [2010]
  • Chemical Characteristics of Ambient Aerosol during Asian Dusts and High PM Episodes at Seoul Intensive Monitoring Site in 2009
    28 ( 3 ) , 292-293 [2012]
  • Characterization of fine particulate matter in ambient air by combining TEM and multiple spectroscopic techniques ? NMR , FTIR and Raman spectroscopy
    17 , 552-560 [2015]
  • Characteristic of Water-soluble Components of PM2.5 at Taean and Gangneung Sites in Summer Season
    27 ( 3 ) , 291-302 [2011]
  • Brown and black carbon in Beijing aerosol : Implications for the effects of brown coating on light absorption by black carbon
    [2017]
  • Belis, C.A., Karagulian, F., Amato, F., Almeida, M., Artaxo, P., Beddows, D.C.S., Bernardoni, V., Bove, M.C., Carbone, S., Cesari, D., Contini, D., Cuccia, E., Diapouli, E., Eleftheriadis, K., Favez, O., Haddad, I.E., Harrison, R.M., Hellebust, S., Hovorka, J., Jang, E., Jorquera, H., Kammermeier, T., Karl, M., Lucarelli, F., Mooibroek, D., Nava, S., Nøjgaard, J.K., Paatero, P., Pandolfi, M., Perrone, M.G., Petit, J.E., Pietrodangelo, A., Pokorna, P., Prati, P., Prevot, A.S.H., Quass, U., Querol, X., Saraga, D., Sciare, J., Sfetsos,A., Valli, G., Vecchi, R., Vestenius, M., Yubero, E., Hopke, P.K., (2015) A new methodology to assess the performance and uncertainty of source apportionment models II: the results of two European intercomparison exercises. Atmos. Environ. 123, 240?250
  • Absorption properties of black carbon aerosols over environmentally distinct locations in south-western India : Temporal , spectral characterization and source apportionment
    189 , 1-17 [2019]
  • A Study on the Chemical Composition and Health Risk Assessment of Airborne Fine Particles in Busan
    Park G.H. 울산대학교 대학원 [2014]
  • A Non-destructive FTIR Method for the Determination of Ammonium and Sulfate in Urban PM2.5 Samples
    3 ( 3 ) , 209 ? 215 [2018]
  • A Guide to Positive Matrix Factorization EPA Workshop Proceedings Materials from the Workshop on UNMIX and PMF as Applied to PM2.5
    [2000]
  • , J.Y . PollutionCharacteristics of PM2.5 Observed during winter
    Korea Society for Atmospheric Environment ,
  • , H.S. , Jang , L.S. , Kim , J.S . Analysis of theChanges in PM2.5
    on the Fall in 2016 and