한국수자원학회논문집 (Journal of Korea Water Resources Association)

  • 제36권2호
  • /
  • Pages.263-271
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  • 2003
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  • 2799-8746(pISSN)
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  • 2799-8754(eISSN)
한국수자원학회 (Korea Water Resources Association)
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엔트로피를 이용한 흐름분배 알고리즘 해석

Entropy Interpretation On flow Distribution Algorithms

  • 이학수 (부산대학교 청정공학 협동과정) ;
  • 강창용 (부산대학교 환경공학과) ;
  • 김상현 (부산대학교 공과대학 환경공학과) ;
  • 정성원 (한국건설기술연구원)
  • 발행 : 2003.04.01
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⟨ 이전 논문 다음 논문 ⟩

초록

습윤지수는 TOPMODEL, THALES 등의 수문모형에서 유역수문과정을 기술하는 지표로서 사용되며, 습윤지수의 계산방법과 한계성에 대한 많은 연구가 보고되고 있다. 임의유역에 대한 습윤지수 분포함수는 사용되어지는 흐름분배 알고리즘에 의존하게 되므로, 적절한 알고리즘의 선정과 알고리즘간의 비교가 필요하다. 본 연구에서는 엔트로피 개념을 이용하여 수치고도모형내의 정보가 각 흐름분배 알고리즘에 의해 습윤지수 분포함수로 도출되는 과정에서, 각 흐름분배 알고리즘에 따른 정보이동량을 해석하고 실측된 지표토양수분과의 상관성 검토를 통한 기존흐름분배 알고리즘들의 고찰을 시도하였다. Holmgren의 구배멱급수 알고리즘과 SDFAA 알고리즘은 습윤지수의 정보량 최대화를 위해 가장 적절한 알고리즘으로 판명되었다.

The wetness index has been frequently used to describe the spatial distribution of the hydrologic status on the platform of the grid based model such as TOPMODEL and THALES. The statistical and spatial distributions of the wetness index are primarily depend upon the flow determinatin algorithm. The comparison among various algorithms and the decision making of the application algorithms are desirable. The entropy is used to evaluate the information transfer patterns of the various flow determination algorithm. The Holmgren's H algorithm and the SDFAA algorithm were found to be the better scheme than the other approaches to maximize the information contents of the wetness index.

키워드

참고문헌

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