Journal of Soil and Groundwater Environment (한국지하수토양환경학회지:지하수토양환경)

Korean Society of Soil and Groundwater Environment (한국지하수토양환경학회)
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Assessment of Groundwater Contamination Vulnerability in Miryang City, Korea using Advanced DRASTIC and fuzzy Techniques on the GIS Platform

개선된 DRASTIC 기법과 퍼지기법을 이용한 밀양지역 지하수오염 취약성 평가

  • Chung, Sang Yong (Department of Earth & Environmental Sciences, Pukyong National University) ;
  • Elzain, Hussam Eldin (Division of Earth Environmental System Science, Pukyong National University) ;
  • Senapathi, Venkatramanan (Department for Management of Science and Technology Development, Ton Duc Thang University) ;
  • Park, Kye-Hun (Department of Earth & Environmental Sciences, Pukyong National University) ;
  • Kwon, Hae-Woo (Exploration Technology Team, Korea Mineral Resources Corporation) ;
  • Yoo, In Kol (Exploration Technology Team, Korea Mineral Resources Corporation) ;
  • Oh, Hae Rim (Department of Earth & Environmental Sciences, Pukyong National University)
  • Received : 2018.07.03
  • Accepted : 2018.08.02
  • Published : 2018.08.31
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Abstract

The purpose of this study is to improve the Original DRASTIC Model (ODM) for the assessment of groundwater contamination vulnerability on the GIS platform. Miryang City of urban and rural features was selected for the study area to accomplish the research purpose. Advanced DRASTIC Model (ADM) was developed adding two more DRASTIC factors of lineament density and landuse to ODM. The fuzzy logic was also applied to ODM and ADM to improve their ability in evaluating the groundwater contamination vulnerability. Although the vulnerability map of ADM was a little simpler than that of ODM, it increased the area of the low vulnerability sector. The groundwater vulnerability maps of ODM and ADM using DRASTIC Indices represented the more detailed descriptions than those from the overlap of thematic maps, and their qualities were improved by the application of fuzzy technique. The vulnerability maps of ODM, ADM and FDM was evaluated by NO3-N concentrations in the study area. It was proved that ADM including lineament density and landuse factors produced a more reliable groundwater vulnerability map, and fuzzy ADM (FDM) made the best detailed groundwater vulnerability map with the significant statistical results.

Keywords

References

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