• Evaluation of Geostatistical Approaches for better Estimation of Polluted Soil Volume with Uncertainty Evaluation
  • Kim, Ho-Rim;Kim, Kyoung-Ho;Yun, Seong-Taek;Hwang, Sang-Il;Kim, Hyeong-Don;Lee, Gun-Taek;Kim, Young-Ju;
  • KU-KIST Green School (Graduate School of Energy and Environment) and Department of Earth and Environmental Sciences, Korea University;KU-KIST Green School (Graduate School of Energy and Environment) and Department of Earth and Environmental Sciences, Korea University;KU-KIST Green School (Graduate School of Energy and Environment) and Department of Earth and Environmental Sciences, Korea University;Korea Environment Institute (KEI);National Instrumentation Center for Environmental Management College of Agriculture and Life Sciences, Seoul National University;National Instrumentation Center for Environmental Management College of Agriculture and Life Sciences, Seoul National University;Korea Environment Institute (KEI);
  • 지구통계 기법을 활용한 토양 오염범위 산정 및 불확실성 평가
  • 김호림;김경호;윤성택;황상일;김형돈;이군택;김영주;
  • 고려대학교 그린스쿨대학원(KU-KIST) 및 지구환경과학과;고려대학교 그린스쿨대학원(KU-KIST) 및 지구환경과학과;고려대학교 그린스쿨대학원(KU-KIST) 및 지구환경과학과;한국환경정책.평가연구원;서울대학교 농생명과학공동기기원(NICEM);서울대학교 농생명과학공동기기원(NICEM);한국환경정책.평가연구원;
References
  • 1. Broos, M.J., Aarts, L., van Tooren, C.F., and Stein, A., 1999, Quantification of the effects of spatially varying environmental contaminants into a cost model for soil remediation, Journal of Environmental Management, 56(2), 133-145.
  •  
  • 2. Choe, J.G., 2007, Geostatistics, Sigma-press. 386p.
  •  
  • 3. Deutsch, C.V. and Journel, A.G., 1998, GSLIB: Geostatistical Software Library and Useris Guide, Oxford University Press. 369 p.
  •  
  • 4. Delbari, M. Afrasiaba, P., and Loiskandlb, W., 2009, Using sequential Gaussian simulation to assess the field-scale spatial uncertainty of soil water content, Catena, 79(2), 163-169.
  •  
  • 5. Demougeot-Renard H, 2004, Geostatistical approach for assessing soil volumes requiring remediation: Validation using leadpolluted soils underlying a former smelting works, Environmental science technology, 38(19), 5120-5126.
  •  
  • 6. D'Or, D., Demougeot-Renard, H., and Garcia, M., 2009, An Integrated Geostatistical Approach for Contaminated Site and Soil Characterization, Mathematical Geosciences, 41(3), 307-322.
  •  
  • 7. Flatman, G., 1984, Geostatistical strategy for soil sampling: The survey and the census, Environmental Monitoring and Assessment, 4(4), 335-349.
  •  
  • 8. Goovaerts, P. and Journel, A.G., 1995, Integrating soil map information in modelling the spatial variation of continuous soil properties, European Journal of Soil Science, 46, 397-414.
  •  
  • 9. Goovaerts, P., 1997, Geostatistics for Natural Resources Evaluation, Oxford University Press, New York. 483 p.
  •  
  • 10. Goovaerts, P., 1999, Geostatistics in soil science: state-of-the-art and perspectives, Geoderma, 89(1-2), 1-45.
  •  
  • 11. Goovaerts, P., 2001, Geostatistical modelling of uncertainty in soil science, Geoderma, 103(1-2), 3-26.
  •  
  • 12. Isaaks, E.H. and Srivastava, R.M., 1989, An Introduction to Applied Geostatistics. Oxford University Press, New York, 560 p.
  •  
  • 13. Juang, K.W., Chen, Y.S., and Lee, D.Y., 2004, Using sequential indicator simulation to assess the uncertainty of delineating heavy-metal contaminated soils, Environmental Pollution, 127, 229-238.
  •  
  • 14. Jung, H,S., Yun, S.T., Choi, B.Y., Kim, H., Jung, M.C., Kim, S.O., and Kim, K.H., 2010, Geochemical studies on the contamination and dispersion of trace metals in intertidal sediments around a military air weapons shooting range, Journal of Soils and Sediments 10, 1142-1158.
  •  
  • 15. Lee, G.T., Kim, H.D., Kang, J.Y., Han, H.D., Choi, C.I., and Kim, Y.H., 2005, Investigation report of soil contamination [00 shooting range].
  •  
  • 16. McKenna, S.A., 1998, Geostatistical approach for managing uncertainty in environmental remediation of contaminated soils: case study, Environmental and Engineering Geoscience, 4, 175-184.
  •  
  • 17. Oliver, M.A. and Webster, R., 1986, Semi-variograms for modelling the spatial pattern of landformand soil properties, Earth Surface Processes and Landforms, 11, 491-504.
  •  
  • 18. Papritz, A., Herzig, C., Borer, F., and Bono, R., 2005, Modelling the spatial distribution of copper in the soils around a metal smelter in northwestern Switzerland, Geostatistics for Environmental Applications, Springer-Verlag, Berlin Heidelberg (2005), pp. 343-354.
  •  
  • 19. Park, N.U., 2010, Application of Indicator Geostatistics for Probabilistic Uncertainty and Risk Analyses of Geochemical Data, The Journal of The Korean Earth Science Society, 31(4), 301-312.
  •  
  • 20. Rautman, C.A., 1997, Geostatistics and cost-effective environmental remediation. In: Baafi, E.Y., Schofield, N.A. (Eds.), Geostatistics Wollongong '96. Kluwer Academic Publishers, Dordrecht, pp. 941-950.
  •  
  • 21. Remy, N., Boucher, A., and Wu, J., 2009, Applied Geostatistics with SGeMS: A User's Guide, Cambridge University Press. 286 p.
  •  
  • 22. Steiger, B.V., Webster, R., Schulin, R., and Lehmann, R., 1996, Mapping heavy metals in polluted soil by disjunctive kriging, Environmental Pollution, 94(2), 205-215.
  •  
  • 23. Stewart, R.N. and Purucker, S.T., 2011, An environmental decision support system for spatial assessment and selective remediation, Environ Model Software, 26, 751-760.
  •  
  • 24. Tanskanen, H., Kukkonen, I., and Kaija, J., 1991, Heavy metal pollution in the environment of a shooting range. Geological Survey of Finland, Special Paper 12, 187-193.
  •  
  • 25. Webster, R. and Oliver, M.A., 2007, Geostatistics for environmental scientists, Wiley. 315p.
  •  

This Article

  • 2012; 17(6): 69-81

    Published on Dec 31, 2012

  • 10.7857/JSGE.2012.17.6.069
  • Received on Nov 9, 2012
  • Revised on Dec 3, 2012
  • Accepted on Dec 3, 2012

Correspondence to

  • E-mail: