Geomechanics and Engineering

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

Estimation of saturated hydraulic conductivity of Korean weathered granite soils using a regression analysis

  • Yoon, Seok (Department of Civil and Environmental Engineering, Korean Advanced Institute for Science and Technology) ;
  • Lee, Seung-Rae (Department of Civil and Environmental Engineering, Korean Advanced Institute for Science and Technology) ;
  • Kim, Yun-Tae (Department of Ocean Engineering, Pukyung National University) ;
  • Go, Gyu-Hyun (Department of Civil and Environmental Engineering, Korean Advanced Institute for Science and Technology)
  • Received : 2014.08.13
  • Accepted : 2015.03.26
  • Published : 2015.07.25
⟨ Previous Next ⟩

Abstract

Saturated soil hydraulic conductivity is a very important soil parameter in numerous practical engineering applications, especially rainfall infiltration and slope stability problems. This parameter is difficult to measure since it is very highly sensitive to various soil conditions. There have been many analytical and empirical formulas to predict saturated soil hydraulic conductivity based on experimental data. However, there have been few studies to investigate in-situ hydraulic conductivity of weathered granite soils, which constitute the majority of soil slopes in Korea. This paper introduces an estimation method to derive saturated hydraulic conductivity of Korean weathered granite soils using in-situ experimental data which were obtained from a variety of slope areas of South Korea. A robust regression analysis was performed using different physical soil properties and an empirical solution with an $R^2$ value of 0.9193 was suggested. Besides that this research validated the proposed model by conducting in-situ saturated soil hydraulic conductivity tests in two slope areas.

Keywords

Acknowledgement

Supported by : National Research Foundation of Korea, Ministry of Land, Infrastructure and Transport of the Korean

References

  1. Ahuja, L.R., Cassel, D.K., Bruce, R.R. and Barnes, B.B. (1989), "Evaluation of spatial distribution of hydraulic conductivity using effective porosity data", Soil Sci. Soc. Am. J., 148(6), 404-411.
  2. Anthony, J.H. (2012), Probability and Statistics for Engineers and Scientists, (4th Edition), Thomson Brooks/Cole.
  3. Cohen, J. (1988), Statistical Power Analysis for the Behavioral Sciences, (2nd Edition), Lawrence Erlbaum Associates, Hillsdale, NJ, USA.
  4. Carman, P.C. (1956), Flow of Gases through Porous Media, Butterworths Scientific Publications, London, UK.
  5. Christian, J.T., Ladd, C.C. and Baecher, G.B. (1994), "Reliability applied to slope stability", ASCE J. Geotech. Eng., 120(12), 2180-2207. https://doi.org/10.1061/(ASCE)0733-9410(1994)120:12(2180)
  6. Cornell, C.A. (1971), "First-order uncertainty analysis of soils deformation and stability", Proceeding of First International Conference on Application of Probability and Statistics in Soil and Structural Engineering (ICAPI), Hong Kong, pp. 129-144.
  7. Day, S.R. and Daniel, D.E. (1985) "Hydraulic conductivity of two prototype clay liners", ASCE J. Geotech. Eng., 111(8), 957-970. https://doi.org/10.1061/(ASCE)0733-9410(1985)111:8(957)
  8. Durbin, J. and Watson, G.S. (1971), "Testing for serial correlation in least squares regression III", Biometrika, 58(1), 1-19. https://doi.org/10.1093/biomet/58.1.1
  9. Go, G.H., Lee, S.R., Kim, Y.S., Park, H.K. and Yoon, S. (2014), "A new thermal conductivity estimation model for weathered granite soils in Korea", Geomech. Eng., Int. J., 6(4), 359-376. https://doi.org/10.12989/gae.2014.6.4.359
  10. Gunst, R.F. and Mason, R.L. (1980), Regression Analysis and its Applications, CRC Press, New York.
  11. Hair, Jr, J.F., Black, W.C., Babin, B.J. and Anderson, R.E. (2009), Multivariate Data Analysis, (7th Edition), Prentice-Hall.
  12. Hazen, A. (1982), "Some physical properties of sand and gravel with special reference to their use in filtration", 4th Annual Report; Massachusetts State Board of Health, Boston, MA, USA, pp. 539-556.
  13. Hocking, R.R. and Pendleton, O.J. (1983), "The regression dilemma", Commun. Stat., 12(5), 497-512. https://doi.org/10.1080/03610928308828477
  14. Hibbs, D. (1974), "Problems of statistical estimation and casual influence in dynamic time series methods", (Hebert Costner Ed.), Sociol. Methodol., 5, 252-308.
  15. Jeon, K.H., Lee, S.R. and Oh, G.D. (2011), "Probabilistic analysis of unsaturated soil properties for Korean weathered granite soil", The 24th KKCNN Symposium on Civil Engineering, Hyogo, Japan, December.
  16. Jun, D.C., Song, Y.S. and Han, S.I. (2010), "Proposal of models to estimate the coefficient of permeability of soils on the natural terrain considering geological conditions", J. Eng. Geol., 20(1), 35-45.
  17. Kim, Y.K. (2009), "Soil slope design and stability evaluation methodology considering hydraulic conductivity and rainfall characteristics", Ph.D. Thesis; KAIST, Daejeon, Korea.
  18. Kim, Y.K. and Lee, S.R. (2010), "Field Infiltration Characteristics of Natural Rainfall in Compacted Roadside Slopes", ASCE J. Geotech. Geoenviron. Eng., 136(1), 248-252. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000160
  19. Kim, J., Choi, C. and Park, S. (2013), "GIS-based landslide susceptibility analyses and cross-validation using a probabilistic model on two test areas in Korea", Disaster Adv., 6(10), 45-54.
  20. Kozeny, J. (1927), "Ueber kapillare Leitung des Wassers im Boden", Wien, Akad. Wiss., 136(2a), 271-306.
  21. Lee, M.S. and Kim, K.S. (2009), "Estimation model of coefficient of permeability of soil layer using linear regression analysis", Spring Conference of Korean Geotechnical Society, Gyeonggi, Korea.
  22. Lee, S.W., Kim, G., Yune, C.Y. and Ryu, H.J. (2013), "Development of landslide-risk assessment model for mountainous regions in eastern Korea", Disaster Adv., 6(6), 70-79.
  23. Li, K.S. and Lumb, P. (1987) "Probabilistic design of slopes", Can. Geotech. J., 24(4), 520-535. https://doi.org/10.1139/t87-068
  24. Ministry of Science, ICT and Future Planning of Korea (2013), Core technology development of real-time prediction and counterplan for extreme rainfall-induced landslide disaster. [In Korean]
  25. Oka, Y. and Wu, T.H. (1990), "System reliability of slope stability", ASCE J. Geotech. Eng., 116(8), 1185-1189. https://doi.org/10.1061/(ASCE)0733-9410(1990)116:8(1185)
  26. Phoon, K.K., Santoso, A. and Quek, S.T. (2010) "Probabilistic analysis of soil-water characteristic curves", ASCE J. Geotech. Geoenviron. Eng., 136(3), 445-455. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000222
  27. Reynolds, W.D. and Erick, D.E. (1987), "A laboratory and numerical assessment of the Guelph permeameter method", Soil Sci., 144(4), 282-299. https://doi.org/10.1097/00010694-198710000-00008
  28. Royston, P. (1992), "Approximating the Shapiro-Wilk W-test for non-normality", Stat. Comput., 2(3), 117-119. https://doi.org/10.1007/BF01891203
  29. Shaprio, S.S. and Wilk, M.B. (1965), "An analysis of variance test for normality (complete samples)", Biometrika, 52(3-4), 591-611. https://doi.org/10.1093/biomet/52.3-4.591
  30. Shin, H., Kim, Y.T. and Park, D.K. (2013), "Development of rainfall hazard envelop for unsaturated infinite slope", KSCE J. Civ. Eng., 17(2), 352-356.
  31. Timlin, D.J., Ahuja, L.R., Pachepsky, Ya., Williams, R.D., Gimenez, D. and Rawls, W. (1999), "Use of Brooks-Corey parameters to improve estimates of saturated conductivity from effective porosity", Soil Sci. Soc. Am. J., 63(5), 1086-1092. https://doi.org/10.2136/sssaj1999.6351086x
  32. Wolff, T.F. and Wang, W. (1992) "Engineering reliability of navigation structures", Report prepared for the Department of the Army, U.S. Army Corps of Engineering, Washington, D.C., USA.
  33. Yoon, S., Lee, S.R., Go, G.H. and Park, S. (2014), "An experimental and numerical approach to derive ground thermal conductivity in spiral coil type ground heat exchanger", J. Energy Inst., 88(3), 229-240. https://doi.org/10.1016/j.joei.2014.10.002

Cited by

  1. Thermal performance evaluation and parametric study of a horizontal ground heat exchanger vol.60, 2016, https://doi.org/10.1016/j.geothermics.2015.12.009
  2. Prediction of shallow landslide by surficial stability analysis considering rainfall infiltration vol.231, 2017, https://doi.org/10.1016/j.enggeo.2017.10.018
  3. A Prediction of Entrainment Growth Rate for Debris-flow Hazard Analysis Using Multiple Regression Analysis vol.15, pp.6, 2015, https://doi.org/10.9798/KOSHAM.2015.15.6.353
  4. Prediction of Ground Thermal Properties from Thermal Response Test vol.32, pp.7, 2016, https://doi.org/10.7843/kgs.2016.32.7.5
  5. A Prediction of Specific Heat Capacity for Compacted Bentonite Buffer vol.15, pp.3, 2017, https://doi.org/10.7733/jnfcwt.2017.15.3.199
  6. Thermal Conductivity Estimation of Compacted Bentonite Buffer Materials for a High-Level Radioactive Waste Repository vol.204, pp.2, 2018, https://doi.org/10.1080/00295450.2018.1471909
  7. Thermal Conductivity of Korean Compacted Bentonite Buffer Materials for a Nuclear Waste Repository vol.11, pp.9, 2018, https://doi.org/10.3390/en11092269
  8. 고준위폐기물 처분시설의 압축 벤토나이트 완충재의 열전도도 추정 vol.33, pp.7, 2017, https://doi.org/10.7843/kgs.2017.33.7.55
  9. Estimation of geomechanical parameters of tunnel route using geostatistical methods vol.14, pp.5, 2018, https://doi.org/10.12989/gae.2018.14.5.453
  10. Hydraulic conductivity estimation by considering the existence of piles: A case study vol.14, pp.5, 2018, https://doi.org/10.12989/gae.2018.14.5.467
  11. 강우침투에 대한 불포화 토사사면의 확률론적 안정해석 vol.34, pp.5, 2015, https://doi.org/10.7843/kgs.2018.34.5.37
  12. Validation of 3D discrete fracture network model focusing on areal sampling methods-a case study on the powerhouse cavern of Rudbar Lorestan pumped storage power plant, Iran vol.16, pp.1, 2015, https://doi.org/10.12989/gae.2018.16.1.021
  13. Critical Continuous Rainfall Map for Forecasting Shallow Landslide Initiations in Busan, Korea vol.12, pp.9, 2015, https://doi.org/10.3390/w12092404