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2012 Fiscal Year Final Research Report

Reservoir operation considering long-term ensemble hydro-meteorological forecasts

Research Project

  • PDF
Project/Area Number 23760462
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Hydraulic engineering
Research InstitutionKyoto University

Principal Investigator

NOHARA Daisuke  京都大学, 防災研究所, 助教 (00452326)

Project Period (FY) 2011 – 2012
Keywords水資源工学 / 予測情報の活用
Research Abstract

A reservoir operation method considering long-term ensemble hydro-meteorological forecasts were developed. The method to improve the effectiveness of real-time reservoir operation was investigated and clarified considering the monthly ensemble forecast of precipitation provided by Japan Meteorological Agency. Moreover, a stochastic impact assessment model of stochastic hydro-meteorological predictions, which have a similar theoretical basis with ensemble predictions, was developed by incorporating an artificial generation method of stochastic hydro-meteorological predictions with arbitrary degrees of uncertainty, in order to contribute to efficient design of reservoir operation considering the ensemble hydro-meteorological forecasts.

  • Research Products

    (4 results)

All 2012 Other

All Journal Article (2 results) (of which Peer Reviewed: 2 results) Presentation (1 results) Remarks (1 results)

  • [Journal Article] Impact analysis of long-term stochastic inflow prediction and its uncertainty on reservoir operation during drought situation

    • Author(s)
      Nohara, D., Miki, H. and Hori, T
    • Journal Title

      IAHS Redbook

      Volume: 362

    • Peer Reviewed
  • [Journal Article] Impact analysis of stochastic inflow prediction with reliability and discrimination indices on long-term reservoir operation

    • Author(s)
      Nohara, D. and Hori, T
    • Journal Title

      Journal of Hydroinformatics

    • Peer Reviewed
  • [Presentation] Impact analysis of reliability and discriminability index of stochastic inflow prediction and its application to longterm reservoir operation2012

    • Author(s)
      Nohara, D. and Hori, T
    • Organizer
      10thInternational Conference on Hydroinformatics
    • Place of Presentation
      Hambrug, Germany
    • Year and Date
      2012-07-18
  • [Remarks]

    • URL

      http://gwd.dpri.kyoto-u.ac.jp/

URL: 

Published: 2014-09-25  

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