한국대기환경학회지 (Journal of Korean Society for Atmospheric Environment)

  • 제6권1호
  • /
  • Pages.11-21
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  • 1990
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  • 1598-7132(pISSN)
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  • 2383-5346(eISSN)
한국대기환경학회 (Korean Society for Atmospheric Environment)
권호 표지

黃砂의 量的推定을 위한 基礎硏究

Basic Research on the Quantitative Estimation of Yellow Sand

  • 김동술 (경희대학교 수원 캠퍼스 자연과학대학 환경학과)
  • 발행 : 1990.05.01
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초록

To quantitatively estimate the effect of yellow sand(loess) fromt he Northern China, various soil sources having similar chemical compositions to yellow sands should be separated and identified. After that, mass contribution for yellow sand can be calculated. The study showed that it was impossible to solve this problem by the traditional bulk analyses. However, particle-by-particle analysis by a CCSEM (computer controlled scanning electron microscope) gave enormous potentials to solve it. To perform this study, seven soil source data analyzed by CCSEM were obtained from Texas, U.S.A. Initially, each soil date was classified into two groups, coarse and fine particle groups since the particle number distribution showed a minimum occurring at 5.2$\mu$m of aerodynamic diameter. Particles in each group were then classified into one of the 283 homogeneous particle classes by the universal classification rule which had been built by an expert system in the early study. Further, mass fractions and their uncertainties for each class in each source were calculated by the Jackknife method, and then source profile matrix for the 7 soil sources was created. To use the profile matrix in the study of source contribution, it is necessary to test the degree of collinearity among sources. The profiles were tested by the singular value decomposition method. As a result, each soil source characterized by artificially created variables was totally independent each other and is ready to use in source contribution studies as a receptor model.

키워드

참고문헌

  1. Loess in China(2nd Ed.) Tungsheng,L.
  2. Science v.206 no.26 Long-Range Atmospheric Transport of Soil Dust from Asia to the Tropical North Pacific:Temporal Variability Duce,R.A.;Unni,C.K;RayB.J
  3. Geol. Soc. Am. Spec, Pap v.186 Asian Desert Dust Over Alaska Rahn,K.A.;Borys,R.D.;Shaw,G..E
  4. J. Appl. Meteorol v.19 Transport of Asian Desert Aersol to the Hawaiian Islands Shaw,G.E.
  5. J. of Geophys. Res. v.88 no.c9 Transport of Mineral Aerosol from Asia Over the North Pacific Ocean Uematsu,M.(et al)
  6. J.of Geophys.Res. v.90 no.c1 Short-Term Temporal Variabillity of Eolian Particles in Surface Waters of the Northwestern Northpacific Uematsu,M.(et al)
  7. J.of Geophys.Res. v.87 no.c2 Aersol Characteristics at Mauna Loa Observatory, Hawaii After East Asian Dust Storm Episodes Darzi,M.;Winchester,J.W.
  8. J. of Geophys. Res. v.87 no.c9 Resolution of Basaltic and Continental Aerosol Components During Spring and Summer Within the Boundary Layer of Hawaii Darzi,M.;Winchester,J. W.
  9. Science v.220 Asian Dust : Seasonal Transport to the Hawaiian Islands Parrinton,J.R.;Zoller,W.H.;Aras,N.K.
  10. Receptor-Oriented Methods of Air Particulate Source Apportionment v.30 Cooper,J.A.
  11. Overview of Receptor Model Principles, in Receptor Models Applied to Contempory pollution Problems Waton,J.G.
  12. Receptor Modeling in Environmental Chemistry Hopke,P.K.
  13. Es & T v.22 no.10 Receptor Models Gordon,G.E.
  14. The Use of Principal Components Factor Analysis to Interpret Particulate Compositional Data Sets v.32 Roscoe,B.A.(et al)
  15. Ph.D. Thesis, Oregon Graduate Center Chemical Element Balance Recepter Model Methodology for Assessing the Source of Fine and Total Suspended Particulate Matter in Portland, Orgon Waton,J.G.
  16. Aerosol Sci.and Tech. v.9 no.2 The Classification of Individual Particles Based on Computer-controlled Scanning Electron Microscopy Data Kim Dong-Sool;Hopke,P.K.
  17. Aerosol Sci. and Tech. v.6 Source Apportionment of the El Paso Aerosol by Particle Class Balance Analysis Kim Dong-Sool;Hopke,P.K.
  18. EPA-450/4-83-014 R v.Ⅲ Receptor Model Technical Series USEPA
  19. Personal Communication Casuccio,G.S.
  20. Final Report Prepared for the TACB v.I;II Identifiction of the Sources of TSP and Particulate Lead in the El Paso Area by Quantitative Microscopic Analysis ETC
  21. Reprint from the 76 th Annaual Meeting of the APCA Identifyng the Sources of TSP and Lead in El Paso Using Microscopy and Receptor Models Dattner,S.L.(et al)
  22. Ph.D. Thesis, University of Illinois at Urbana-Champaign Particle Class Balance for Apportioning Aerosol Mass kim Dong-Sool
  23. Biometrica v.61 The Jackknife-A Review Miller,R.G.
  24. Regression Diagnostics Belsley,D.A.;Kuh,E.;Welsch,R.E.
  25. Reprint from the 76th Annual Metting of the APCA Measurement of Ambient Hi-Vol Filters by Microscopic and Bulk Chemistry Methods Casuccio,G.S.(et al.)