Studies on the Spatial Analysis for Distribution Estimation of Radon Concentration at the Seoul Area

서울지역 라돈농도의 분포예측을 위한 공간분석법 연구

  • Baek, Seung-A (College of Environment & Applied Chemistry and Center for Environmental Studies, Kyung Hee University) ;
  • Lee, Tae-Jung (College of Environment & Applied Chemistry and Center for Environmental Studies, Kyung Hee University) ;
  • Kim, Shin-Do (Department of Environmental Engineering, University of Seoul) ;
  • Kim, Dong-Sool (College of Environment & Applied Chemistry and Center for Environmental Studies, Kyung Hee University)
  • 백승아 (경희대학교 환경.응용화학대학 대기오염연구실 및 환경연구센터) ;
  • 이태정 (경희대학교 환경.응용화학대학 대기오염연구실 및 환경연구센터) ;
  • 김신도 (서울시립대학교 환경공학과) ;
  • 김동술 (경희대학교 환경.응용화학대학 대기오염연구실 및 환경연구센터)
  • Published : 2008.10.31


Radon is an invisible, odorless, and radioactive gas. It is formed by the disintegration of radium, which is a decay product of uranium. Some amounts of radon gas and its products are present ubiquitously in the soil, water, and air. Particularly high radon levels occur in regions of high uranium content. Although radon is permeable into indoor environment not only through geological features (bed rock and permeability) but also through the construction materials and underground water, the radiation from the geological features is generally main exposure factor. So there can be a problem in a certain space such as the underground and/or relatively poor ventilation condition. In this study, a GIS technique was used in order to investigate spatial distribution of radon measured from sub- way stations of 1 thru 8 in Seoul, Korea in 1991, 1998, 2001, and 2006. Spatial analysis was applied to reproduce the radon distribution. We utilized spatial analysis techniques such as inverse distance weighted averaging (IDW) and kriging techniques which are widely used to relate between different spatial points. To validate the results from the analyses, the jackknife technique for an uncertainty test was performed. When the number of measuring sites was less than 100 and also when the number of omitted sites increased, the kriging technique was better than IDW. On the other hand, when the number of sites was over 100, IDW technique was better than kriging technique. Thus the selection of analytical tool was affected sensitives by the analysis based on the number of measuring sites.


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