• Development and Application of Streamline Analysis Method

  • Kim Tae Beom1*·Lee Chihyung1·Cheong Jae-Yeol2

  • 1Intellegeo Co., Ltd., Seoul 08390, Korea
    2Korea Radioactive Waste Agency, Gyeongsangbuk-Do 38062, Korea

  • 유선 분석법의 개발 및 적용

  • 김태범1*·이치형1·정재열2

  • 1(주)인텔리지오
    2한국원자력환경공단

  • This article is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

References
  • 1. Alberti, L., Colombo, L., and Formentin, G., 2018, Null-space Monte Carlo particle tracking to assess groundwater PCE (Tetrachloroethene) diffuse pollution in north-eastern Milan functional urban area, Sci. Total Environ., 621, 326-339.
  •  
  • 2. Diersch, H.-J.G., 2014, FEFLOW: Finite element modeling of flow, mass and heat transport in porous and fractured media, Springer-Verlag Berlin Heidelberg.
  •  
  • 3. Hamm, S.-Y., Cheong, J.-Y., Kim, H.-S., Hahn, J.-S., and Cha, Y.-H., 2005, Groundwater flow modeling in a riverbank filtration area, Deasan-Myeon, Changwon City, Econ. Environ. Geol., 38(1), 67-78.
  •  
  • 4. Harbaugh, A.W., 2005, MODFLOW-2005, The U.S. geological survey modular ground-water model-the ground-water flow process, Techniques and Methods 6-A16; United States Geological Survey: Reston, VA, USA.
  •  
  • 5. Kim, S.G., 2019, A study on well scenario for safety assessment of raioactive waste repository considering nuclide characteristics, Master¡¯s thesis, Hanyang University.
  •  
  • 6. Klaas, D.K.S.Y., Imteaz, M.A., and Arulrajah, A., 2017, Development of groundwater vulnerability zones in a data-scarce eogenetic karst area using Head-Guided Zonation and particle-tracking simulation methods, Water Res., 122, 17-26.
  •  
  • 7. Ko, N.-Y., Park, K.W., Kim K.S., and Choi, J.W., 2012, Groundwater flow modeling in the KURT site for a case study about a hypothetical geological disposal facility of radioactive wastes, J. Nucl. Fuel Cycle Waste Technol., 10(3), 143-149.
  •  
  • 8. Kwon, Y.S., 2005, Study on the prediction of landfill leachate leakage range by visual MODFLOW model a case study of industrial estate landfill of P¡¯City, Master¡¯s thesis, University of Seoul, Korea.
  •  
  • 9. Maskey, S., Jonoski, A., and Solomatine, D.P., 2002, Groundwater remediation strategy using global optimization algorithms, J. Water Resour. Plan. Manag., 128(6), 431-440.
  •  
  • 10. Pollock, D.W., 1994, User¡¯s Guide for MODPATH/MODPATH-PLOT, Version 3: A particle tracking post-processing package for MODFLOW, the U.S. Geological Survey finite-difference ground-water flow model, US Geological Survey Open-File Report 94-464.
  •  
  • 11. Stollberg, R., 2013, Groundwater contaminant source zone identification at an industrial and abandoned mining site-A forensic backward-in-time modelling approach, Martin Luther University, Halle-Wittenberg, Germany.
  •  
  • 12. Thakur, J.K., 2013, Methods in groundwater monitoring: strategies based on statistical, geostatistical, and hydrogeological modelling and visualization, Martin Luther University, Halle-Wittenberg, Germany.
  •  
  • 13. Yidana, S.M., 2011, Groundwater flow modeling and particle tracking for chemical transport in the southern Voltaian aquifers, Environ. Earth Sci., 63, 709-721.
  •  

This Article

  • 2023; 28(6): 9-15

    Published on Dec 31, 2023

  • 10.7857/JSGE.2023.28.6.009
  • Received on Oct 19, 2023
  • Revised on Oct 31, 2023
  • Accepted on Nov 8, 2023

Correspondence to

  • Kim Tae Beom

  • Intellegeo Co., Ltd., Seoul 08390, Korea

  • E-mail: geo108@naver.com