Runoff Data Estimation based on Topological Case-based Modeling with Distributed Hydrological Model

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Bibliographic Information

Other Title
  • 事例ベースモデルと分布型流出モデルを併用した河川流量予測

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Abstract

The authors reported the development of a method using Topological Case-Based Modeling (TCBM) to predict runoff from cases of changes in runoff from past data. This method searches the case base for past events that are most similar to the present event, therefore the calculation time is short. However, it is difficult to predict runoff for first-time rainfall with this model. Hydro-BEAM is one of the distributed hydrological models that can reliably estimate runoff for various types of rainfall. To utilize these advantages, a new estimation method combining these models was developed.

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Details 詳細情報について

  • CRID
    1050001202062487552
  • NII Book ID
    AN00027784
  • ISSN
    0386412X
  • HANDLE
    2433/73278
  • Text Lang
    ja
  • Article Type
    departmental bulletin paper
  • Data Source
    • IRDB

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