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2022 Fiscal Year Annual Research Report

Flood forecasting on the mountainous river basin by using the most advanced Multi-parameter radars

Research Project

Project/Area Number 21J15249
Research InstitutionKyoto University

Principal Investigator

金 和妍  京都大学, 防災研究所, 特別研究員(PD)

Project Period (FY) 2021-04-28 – 2023-03-31
KeywordsGuerrilla Heavy Rainfall / Quantitative Risk / Multiple Doppler Radar / Flash Flood Guidance
Outline of Annual Research Achievements

Guerrilla Heavy Rainfall (GHR), a type of localized heavy rainfall, has caused flash flood disasters in Japan. Predicting the risk of localized heavy rainfall, especially GHR, is crucial for preventing hydro-meteorological disasters and minimizing damage to human life and property. Research in meteorology and hydrology has been conducted to develop methods for accurately predicting and alerting flash floods. Meteorologically, the quantitative risk prediction method was developed for predicting the risk triggered by GHR based on the physical mechanism. By multiple Doppler radar analysis, the variables were estimated. Then, the correlation between the predicted risk level and the variables was founded on the multilinear regression. Hydrologically, flash flood guidance (FFG) was considered to determine the criteria for whether flash floods occur. FFG is the amount of precipitation needed in a specific period to initiate flooding in the watershed. FFG was estimated based on Threshold Runoff (TR) and Soil moisture Deficit (SD) using the Storm Water Management Model (SWMM). By using topographic and meteorological data, the FFG was estimated on the mixed land use consisting of the rural and urban areas. So, once the FFG has been established, the FFG can issue flash flood warnings without running the entire hydro-meteorological process in the region where flash floods frequently occur. To prevent flash floods, flash flood alerts should be taking into account both the quantitative risk prediction (meteorology) and flash flood warnings (hydrology).

Research Progress Status

令和4年度が最終年度であるため、記入しない。

Strategy for Future Research Activity

令和4年度が最終年度であるため、記入しない。

  • Research Products

    (4 results)

All 2022

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

  • [Journal Article] ゲリラ豪雨の定量的リスク予測に向けたライフサイクル概念の利用可能性の検討2022

    • Author(s)
      KIM Hwayeon, 前川 智寧, 中北 英一
    • Journal Title

      Journal of Japan Society of Civil Engineers Ser. B1 (Hydraulic Engineering)

      Volume: 78 巻 2 号 Pages: p. I_331-I_336

    • DOI

      10.2208/jscejhe.78.2_I_331

    • Peer Reviewed
  • [Journal Article] Development of Quantitative Risk Prediction Method of the Guerrilla Heavy Rainfall using Polarimetric Radars and its Application for the Flash Flood Guidance2022

    • Author(s)
      Hwayeon Kim
    • Journal Title

      Unpublished doctoral dissertation

      Volume: - Pages: -

  • [Presentation] Investigation on the effectiveness of Life Cycle of the Guerrilla heavy rainfall for the quantitative prediction method2022

    • Author(s)
      Tomoyasu Maekawa, Hwayeon Kim and Eiichi Nakakita
    • Organizer
      Japan Society of Civil Engineers 2022 Annual Meeting
  • [Presentation] ゲリラ豪雨の降雨強度予測におけるライフサイクル概念の有用性に関する研究2022

    • Author(s)
      Tomoyasu Maekawa, Hwayeon Kim and Eiichi Nakakita
    • Organizer
      2022 Annual Conference, Japan Society of Hydrology and Water Resources/Japanese Association of Hydrological Sciences

URL: 

Published: 2023-12-25  

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