• Title/Summary/Keyword: Groundwater contamination potential map

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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.

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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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Groundwater pollution risk mapping using modified DRASTIC model in parts of Hail region of Saudi Arabia

  • Ahmed, Izrar;Nazzal, Yousef;Zaidi, Faisal
    • Environmental Engineering Research
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    • v.23 no.1
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    • pp.84-91
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    • 2018
  • The present study deals with the management of groundwater resources of an important agriculture track of north-western part of Saudi Arabia. Due to strategic importance of the area efforts have been made to estimate aquifer proneness to attenuate contamination. This includes determining hydrodynamic behavior of the groundwater system. The important parameters of any vulnerability model are geological formations in the region, depth to water levels, soil, rainfall, topography, vadose zone, the drainage network and hydraulic conductivity, land use, hydrochemical data, water discharge, etc. All these parameters have greater control and helps determining response of groundwater system to a possible contaminant threat. A widely used DRASTIC model helps integrate these data layers to estimate vulnerability indices using GIS environment. DRASTIC parameters were assigned appropriate ratings depending upon existing data range and a constant weight factor. Further, land-use pattern map of study area was integrated with vulnerability map to produce pollution risk map. A comparison of DRASTIC model was done with GOD and AVI vulnerability models. Model validation was done with $NO_3$, $SO_4$ and Cl concentrations. These maps help to assess the zones of potential risk of contamination to the groundwater resources.

A Study on the Prediction of Groundwater Contamination using the GIS in Hwanam 2 Sector, Gyeonggi Province, Korea (GIS를 이용한 경기도 화남2지구의 지하수오염 예측에 관한 연구)

  • Son, Ho-Ung
    • The Journal of Engineering Research
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    • v.5 no.1
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    • pp.89-107
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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 landuse, into conventional DRASTIC model, and to predict the potential of groundwater contamination using GIS in Whanam 2 Area, 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. Composite contamination map was achieved as a final result by comparing modified DRASTIC potential and the amount of generation load of several contaminant sources logically. The result could suggest the predictability of the area of contamination potential on the respects of hydrogeological aspect and water quality.

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A STUDY ON THE PREDICTION OF GROUNDWATER CONTAMINATION USING THE GIS IN HWANAM 2 SECTOR, GYEONGGI PROVINCE, KOREA (GIS를 이용한 경기도 화남2지구의 지하수오염 예측에 관한 연구)

  • HoWoongShon
    • Journal of the Korean Geophysical Society
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    • v.4 no.4
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    • pp.267-285
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    • 2001
  • This study has tried to develop the modified DRASTIC Model by supplying the parameters,such as structural lineament density and landuse, into conventional DRASTIC medal, and to predict the potential of groundwater contamination using GIS in Whanam 2 Area, Gyeonggi Province, Korea. Since the aquifers in Korea is generally through the joints of rock-mass in hydrogeological environment, lineament denisity affects to the behavior of goundwater 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. Composite contamination map was achieved as a final result by comparing modified DRASTIC potential and the amount of generation load of several contaminant sources logically. The result could suggest the predictability of the area of contamination potrntial in the respects of hydrogeological aspect and water quality.

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