Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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A Study on Spatial Prediction of Water Quality Constituents Using Spatial Model

공간모형을 이용한 수질오염물질의 공간적 예측 및 평가에 대한 연구

  • Kang, Taegu (Water Quality Assessment Research Division, National Institute of Environmental Research) ;
  • Lee, Hyuk (Water Quality Assessment Research Division, National Institute of Environmental Research) ;
  • Kang, Ilseok (Water Quality Assessment Research Division, National Institute of Environmental Research) ;
  • Heo, Tae-Young (Department of Information and Statistics, Chungbuk National University)
  • 강태구 (국립환경과학원 물환경평가연구과) ;
  • 이혁 (국립환경과학원 물환경평가연구과) ;
  • 강일석 (국립환경과학원 물환경평가연구과) ;
  • 허태영 (충북대학교 자연과학대학 정보통계학과)
  • Received : 2014.05.23
  • Accepted : 2014.07.16
  • Published : 2014.07.30
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Abstract

Spatial prediction methods have been useful to determine the variability of water quality in space and time due to difficulties in collecting spatial data across extensive spaces such as watershed. This study compares two kriging methods in predicting BOD concentration on the unmonitored sites in the Geum River Watershed and to assess its predictive performance by leave-one-out cross validation. This study has shown that cokriging method can make better predictions of BOD concentration than ordinary kriging method across the Geum River Watershed. Challenges for the application of cokriging on the spatial prediction of surface water quality involve the comparison of network-distance-based relationship and euclidean-distance-based relationship for the improvement in the predictive performance.

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References

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