• Title/Summary/Keyword: DRASTIC모델, 지하수오염, 구조선밀도, 토지이용, 지하수오염가능, 예측도

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A Study on the Prediction of Groundwater Contamination using GIS (GIS를 이용한 지하수오염 예측에 관한 연구)

  • Jo, Si-Beom;Shon, Ho-Woong;Lee, Kang-Won
    • Journal of Korean Society for Geospatial Information Science
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    • v.12 no.2 s.29
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    • pp.17-28
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    • 2004
  • This study has tried to develop the modified DRASTIC Model by supplying the parameters, such as structural lineament density and land-use, into conventional DRASTIC model, and to predict the potential of groundwater contamination using GIS in Hwanam 2 District, Gyeonggi Province, Korea. Since the aquifers in Korea is generally through the joints of rock-mass in hydrogeological environment, lineament density affects to the behavior of groundwater and contaminated plumes directly, and land-use reflect the effect of point or non-point source of contamination indirectly. For the statistical analysis, lattice-layers of each parameter were generated, and then level of confidence was assessed by analyzing each correlation coefficient. Groundwater contamination potential map was achieved as a final result by comparing modified DRASTIC potential and the amount of pollutant load logically. The result suggest the predictability of contamination potential in a specified area in the respects of hydrogeological aspect and water quality.

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A STUDY ON THE PREDICTION OF GROUNDWATER CONTAMINATION USING GIS (지하수오염 예측을 위한 GIS 활용연구)

  • Jo, SiBeom;Shon, HoWoong
    • Journal of the Korean Geophysical Society
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    • v.7 no.2
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    • pp.121-134
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    • 2004
  • This study has tried to develop the modified DRASTIC Model by supplying the parameters, such as structural lineament density and land-use, into conventional DRASTIC model, and to predict the potential of groundwater contamination using GIS in Hwanam 2 District, Gyeonggi Province, Korea. Since the aquifers in Korea is generally through the joints of rock-mass in hydrogeological environment, lineament density affects to the behavior of groundwater and contaminated plumes directly, and land-use reflect the effect of point or non-point source of contamination indirectly. For the statistical analysis, lattice-layers of each parameter were generated, and then level of confidence was assessed by analyzing each correlation coefficient. Groundwater contamination potential map was achieved as a final result by comparing modified DRASTIC potential and the amount of pollutant load logically. The result suggest the predictability of contamination potential in a specified area in the respects of hydrogeological aspect and water quality.

  • PDF