한국농공학회논문집 (Journal of The Korean Society of Agricultural Engineers)

  • 제54권2호
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  • Pages.127-135
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  • 2012
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  • 1738-3692(pISSN)
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  • 2093-7709(eISSN)
한국농공학회 (The Korean Society of Agricultural Engineers)
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화학적 특성과의 비교 분석을 통한 프랙탈 차원을 이용한 풍화도 추정

The Estimation of the Extent of Weathering using Fractal Dimension through a Comparison with Chemical Characteristic

  • 노수각 (서울대학교 조경.지역시스템공학부 대학원) ;
  • 손영환 (서울대학교 조경.지역시스템공학과, 서울대학교 농업생명과학연구원) ;
  • 봉태호 (서울대학교 조경.지역시스템공학부 대학원) ;
  • 박재성 (서울대학교 조경.지역시스템공학부 대학원)
  • 투고 : 2012.02.16
  • 심사 : 2012.03.13
  • 발행 : 2012.03.31
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초록

The processes of chemical and physical weathering occur simultaneously. The objective of this study was to estimate the degree weathered using fractal dimension through comparison with chemical characteristic of soil samples from Pohang (PH) and Kimpo (KP). Comparing chemical characteristics with fractal dimension, $SiO_2$, $Na_2O$, $K_2O$ content decreased and loss of ignition increased as fractal dimension increased. And fractal dimension showed high correlation with CWI while ATI, STI CIW, PI, CIA and RR demonstrated different degrees of correlation with fractal dimension. The tendency of the changes in oxide content and chemical weathering index with increasing fractal dimension appeared to be similar with the chemical changes due to weathering. Therefore, fractal dimension could be a good indicator representing the extent of weathering and chemical changes.

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참고문헌

  1. Bittelli, M., G. S. Camlbell, M. Flury, 1999, Characterization of particle-size distribution in soil with a fragmentation model, SSSAJ, 63: 782-788. https://doi.org/10.2136/sssaj1999.634782x
  2. Bonala, Mohan V. S. and N. Reddi Lakshmi, 1999, Fractal representation of soil cohesion, ASCE, Journal of Geotechnical and Geoenvironmental Engineering: 901-904.
  3. Duzgoren-Aydin, N. S., A Aydin, J. Malpas, 2002, Re-assessment of chemical weathering indices: case study on pyroclastic rocks of Hong Kong, Engineering Geology, 63: 99-119. https://doi.org/10.1016/S0013-7952(01)00073-4
  4. Gori, U. and M. Mari, 2001, The correlation between the fractal dimension and internal friction angle of different granular materials, Japanese Geotechnical Society, Soil and Foundation, 41(6): 17-23.
  5. Harnois, L., 1988, The C. I. W. index : a new chemical index of weathering, Sedim, Geol. 55: 319-332. https://doi.org/10.1016/0037-0738(88)90137-6
  6. Jayawardena, Izawa Eiji, 1994, A new chemical index of weathering for metamorphic silicate rocks in tropical regions : A study from Sri Lanka, Engineering Geology, 36: 303-310. https://doi.org/10.1016/0013-7952(94)90011-6
  7. Lim, J. H., 1993, A Study on the Indexes and Properties of Mechanical Weathering to Granite Distributed in Korea, The Korean Geographical Society, 28(2): 99-111.
  8. Min, T. K. and W. J. Lee, 2003, Fragmentation fractal analysis on particle-size distribution, Journal of Korean Geotechnical Society, 19(2): 199-206.
  9. Nesbitt, H. W. and G. M. Young, 1982, Early proterozoic climates and plate motions inferred from major element chemistry of lutites, Nature 279: 715-717. https://doi.org/10.1038/279715a0
  10. Noh, S. K., Y. H. Son, P. W. Chang, S. P. Kim, 2006, Analysis of effect of compaction energy on characters of grain size distribution and permeability using fragmentation fractal, Journal of The Korean Society of Agricultural Engineers, 48(6): 59-67. https://doi.org/10.5389/KSAE.2006.48.6.059
  11. Park, C. S., 1996, Characteristic of weathered soil, Engineers, Seoul, South Korea, pp. 15-56 (in Korean).
  12. Park, J. S., P. W. Chang, Y. H. Son, S. P. Kim, 2006, Estimation of permeability coefficient using fractal dimension of particle size distribution curve in granular soils, Journal of The Korean Society of Agricultural Engineers, 48(4): 41-49. https://doi.org/10.5389/KSAE.2006.48.4.041
  13. Parker, A., 1970, An index of weathering for silicate rocks, Geo Mag, 10: 501-504.
  14. Ruxton, B. P., 1968, Measures of the degree of chemical weathering of rocks. Journal of Geology, 76: 518-527. https://doi.org/10.1086/627357
  15. Son, Y. H., P. W. Chang, S. P. Kim, 2007, Estimation of Degree of Weathering in Residual Soil Using Water Content from Fall Cone Test Result, Journal of Korean Geotechnical Society, 23(12): 13-23.
  16. Son, Y. H., S. K. Noh, S. P. Kim, P. W. Chang, 2009, Alternative Methods for Classification on Weathered Strata, Journal of The Korean Society of Agricultural Engineers, 51(3): 63-69. https://doi.org/10.5389/KSAE.2009.51.3.063
  17. Son, Y. H., S. P. Kim, P. W. Chang, 2008, Estimation of Weathered Degree Using Fall cone in Weathered Soil ; Silty Sand, Journal of The Korean Society of Agricultural Engineers, 50(1): 61-68. https://doi.org/10.5389/KSAE.2008.50.1.061
  18. Sueoka, T., 1988, Identification and classification of granitic residual soils using chemical weathering index, Second Int. Conf. Geomech. Trop. Soil, Singapore 1: 55-61.
  19. Turcotte, D. L., 1986, Fractal and fragmentation, Journal of Geophysics research, 91: 1921-1926. https://doi.org/10.1029/JB091iB02p01921
  20. Tyler, S. W. and S. W. Wheatcraft, 1992, Fractal scaling of soil particle-size distribution : analysis an limitation, SSSAJ, 56: 362-369. https://doi.org/10.2136/sssaj1992.03615995005600020005x
  21. Yu, C., S. Y. Ahn, C. N. Lee, P. C. Baveye, 2002, The soil particles Distributions and Fractal Dimension, Journal of Korean Geotechnical Society, 18(6): 25-32.