Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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A Study on Redesign of Spatial Data Structure of Korean Reach File for Improving Adaptability

하천망분석도(KRF)의 활용성 증대를 위한 공간데이터 구조 개선에 관한 연구

  • Song, Hyunoh (Water Quality Assessment Research Division, National Institute of Environmental Research) ;
  • Lee, Hyuk (Water Quality Assessment Research Division, National Institute of Environmental Research) ;
  • Kang, Taegu (Yeongsan River Environment Research Center) ;
  • Kim, Kyunghyun (Water Quality Assessment Research Division, National Institute of Environmental Research) ;
  • Lee, Jaekwan (Water Environmental Research Department, National Institute of Environmental Research) ;
  • Rhew, Doughee (Water Quality Assessment Research Division, National Institute of Environmental Research) ;
  • Jung, Dongil (Department of Environmental System Engineering, Korea University)
  • 송현오 (국립환경과학원 물환경평가연구과) ;
  • 이혁 (국립환경과학원 물환경평가연구과) ;
  • 강태구 (영산강물환경연구소) ;
  • 김경현 (국립환경과학원 물환경평가연구과) ;
  • 이재관 (국립환경과학원 물환경연구부) ;
  • 류덕희 (국립환경과학원 물환경평가연구과) ;
  • 정동일 (고려대학교 환경시스템공학과)
  • Received : 2016.08.29
  • Accepted : 2016.10.06
  • Published : 2016.11.30
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Abstract

National Institute of Environmental Research (NIER) has developed the Korean Reach File (KRF) for scientific and systematic analysis of variables related to water quality, pollutant sources and aquatic ecosystems in consideration of steam reach networks. The KRF provides a new framework for data production, storage, management and analysis for water related variables in relation to spatial characteristics, connections, and topologies of stream reaches. However, the current version of KRF (ver.2) has limited applicability because its nodes include not only the stream points based on topological characteristics but also those based on water quality monitoring stations, which may undermine its generality. In this study, a new version of KRF (ver.3) was designed and established to overcome the weak point of version 2. The version 3 is a generalization of the old KRF graphic data and it integrates the attribute data while separating it from the graphic data to minimize additional work that is needed for data association and search. We tested the KRF (ver.3) on actual cases and convenience and adaptability for each application was verified. Further research should focus on developing a database link model and real-world applications that are targeted to process event data.

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References

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