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

Research Project

Project/Area Number 21J15249
Research Category

Grant-in-Aid for JSPS Fellows

Allocation TypeSingle-year Grants
Section国内
Review Section Basic Section 22040:Hydroengineering-related
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
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥1,500,000 (Direct Cost: ¥1,500,000)
Fiscal Year 2022: ¥700,000 (Direct Cost: ¥700,000)
Fiscal Year 2021: ¥800,000 (Direct Cost: ¥800,000)
KeywordsGuerrilla Heavy Rainfall / Quantitative Risk / Multiple Doppler Radar / Flash Flood Guidance / Early detection / Multiple Doppler radar / Risk Prediction
Outline of Research at the Start

The localized severe heavy rainfalls, which has not been experienced in the past, have frequently occurred in Japan due to the effects of climate change. For disaster prevention, this research aims at achieving high-resolution flash flood prediction and securing longer lead time for evacuation

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。

Report

(2 results)
  • 2022 Annual Research Report
  • 2021 Annual Research Report
  • Research Products

    (10 results)

All 2022 2021

All Journal Article (3 results) (of which Peer Reviewed: 2 results) Presentation (7 results) (of which Int'l Joint Research: 1 results)

  • [Journal Article] INVESTIGATION OF THE EFFECTIVENESS OF LIFE STAGE IN THE QUANTITATIVE RISK PREDICTION OF GUERRILLA HEAVY RAINFALL2022

    • 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 Issue: 2 Pages: I_331-I_336

    • DOI

      10.2208/jscejhe.78.2_I_331

    • ISSN
      2185-467X
    • Related Report
      2022 Annual Research Report
    • 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: -

    • Related Report
      2022 Annual Research Report
  • [Journal Article] ADVANCES IN THE QUANTITATIVE RISK PREDICTION FOR IMPROVING THE ACCURACY ON THE GUERRILLA HEAVY RAINFALL2021

    • Author(s)
      KIM Hwayeon、NAKAKITA Eiichi
    • Journal Title

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

      Volume: 77 Issue: 2 Pages: I_1321-I_1326

    • DOI

      10.2208/jscejhe.77.2_I_1321

    • NAID

      130008160001

    • ISSN
      2185-467X
    • Related Report
      2021 Annual Research Report
    • Peer Reviewed
  • [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
    • Related Report
      2022 Annual Research Report
  • [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
    • Related Report
      2022 Annual Research Report
  • [Presentation] A Study on the Application of Flash Flood Guidance with Predicting the Risk Level of Guerrilla Heavy Rainfall2022

    • Author(s)
      Kim, Hwayeon
    • Organizer
      防災研究所研究発表講演会
    • Related Report
      2021 Annual Research Report
  • [Presentation] Development of a Quantitative Risk Prediction Method based on Life Cycle of Guerrilla-heavy Rainfall2022

    • Author(s)
      Eiichi Nakakita
    • Organizer
      防災研究所研究発表講演会
    • Related Report
      2021 Annual Research Report
  • [Presentation] On the use of multiple Doppler radar analysis to retrieve three-dimensional wind field for enhancement of the quantitative risk prediction2021

    • Author(s)
      Kim, Hwayeon
    • Organizer
      Japan Society of Hydrology and Water Resources conference 2021
    • Related Report
      2021 Annual Research Report
  • [Presentation] Advances in the quantitative risk prediction for improving the accuracy on the guerrilla heavy rainfall2021

    • Author(s)
      Kim, Hwayeon
    • Organizer
      Japan Society of Civil Engineers
    • Related Report
      2021 Annual Research Report
  • [Presentation] Improvement of the early detection and quantitative risk prediction method with the three-dimensional wind field from multiple-doppler radar analysis2021

    • Author(s)
      Kim, Hwayeon
    • Organizer
      the 23rd EGU General Assembly
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research

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Published: 2021-05-27   Modified: 2024-03-26  

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