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Classification of Frontal and Typhoon Weather Fields Using Self-Organizing Maps and Its Application to Disaster Prevention Information Provision

Research Project

Project/Area Number 21K04275
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 22040:Hydroengineering-related
Research InstitutionYamaguchi University

Principal Investigator

Asai Koji  山口大学, 大学院創成科学研究科, 教授 (70202570)

Co-Investigator(Kenkyū-buntansha) 西山 浩司  九州大学, 工学研究院, 助教 (20264070)
白水 元  東海大学, 建築都市学部, 特任助教 (60808210)
Project Period (FY) 2021-04-01 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2023: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2022: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2021: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Keywords自己組織化マップ / 豪雨災害 / 気象場分類 / 梅雨前線 / 台風 / 診断モデル / 前線系豪雨 / 台風系豪雨 / JRA55 / 前線性豪雨 / 山口県豪雨災害 / 診断システム / 予測気象場 / 防災情報
Outline of Research at the Start

豪雨や台風接近時に迅速な避難を住民に促すには危機感を喚起する防災情報の提供の工夫が重要である.危機感を喚起する有効な方法の一つとして,現在迫っているハザードが過去に災害を引き起こしたハザードと類似していることを伝えることが考えられる.このためには,過去の多数の豪雨パターンの中から,ターゲットとしている豪雨パターンに類似しているパターンを抽出する必要がある.これには自己組織化マップ(SOM)が有力である.本研究ではSOMを活用した住民避難を促進するためのシステムを開発し社会実装を行うものである.

Outline of Final Research Achievements

This study aims to classify past weather patterns using SOM and to elucidate the characteristics of weather patterns and heavy rain. Additionally, it seeks to develop a system that alerts residents by identifying similarities between numerical weather prediction results and the weather patterns associated with past severe rain disasters.
Comparing the heavy rainfall in Hitoyoshi, Kumamoto Prefecture in July 2020 with that in July 1965, it was found that the most intense rainfall periods in both events occurred under the same weather pattern. By analyzing the trends in the occurrence times of heavy rainfall in the East China Sea region, it was determined that the frequency of heavy rainfall is higher in the morning. The study identified weather patterns with high heavy rain risk for the basins of major rivers in Kyushu. A system was developed to automatically acquire numerical weather prediction data and display the heavy rain risk for the next 84 hours automatically.

Academic Significance and Societal Importance of the Research Achievements

本研究では豪雨になる前に住民避難を促進するシステムの開発を主目的としている.これまで類似の気象場の判断は人の感覚によるものであったが,SOMを用いることで客観的に類似気象場を判断することが可能となった.これを応用して住民に危機感を与え避難行動のスイッチを入れるシステムを開発した.具体的な社会実装が行われれば,豪雨災害の犠牲者を減少させることができ防災に大きく寄与するものと考えられ,社会的意義は大きい.

Report

(4 results)
  • 2023 Annual Research Report   Final Research Report ( PDF )
  • 2022 Research-status Report
  • 2021 Research-status Report
  • Research Products

    (8 results)

All 2024 2023 2022 2021

All Journal Article (5 results) (of which Peer Reviewed: 4 results,  Open Access: 3 results) Presentation (3 results) (of which Int'l Joint Research: 1 results)

  • [Journal Article] RELATION ANALYSIS BETWEEN METEOROLOGICAL FIELD AND RAINFALL FOR EACH BASIN IN KYUSHU USING SELF-ORGANIZING MAP2024

    • Author(s)
      朝位孝二,田邉虎太郎,西山浩司,白水 元
    • Journal Title

      Japanese Journal of JSCE

      Volume: 80 Issue: 16 Pages: n/a

    • DOI

      10.2208/jscejj.23-16004

    • ISSN
      2436-6021
    • Related Report
      2023 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Pattern Analysis of Meteorological Field causing Heavy Rainfall Disaster in Kyushu and Chugoku Region Japan Using Self Organizing Map2022

    • Author(s)
      Koji Asai, Koji Nishiyama, Hajime Shirozu
    • Journal Title

      Proceedings of the 39th IAHR World Congress

      Volume: 1 Pages: 4812-4818

    • Related Report
      2022 Research-status Report
    • Peer Reviewed
  • [Journal Article] 自己組織化マップを用いた過去に災害を引き起こした台風の気象場パターンの分析2022

    • Author(s)
      岩重圭悟,朝位孝二,白水 元,西山浩司
    • Journal Title

      自然災害協議会中国部会研究論集

      Volume: 8 Pages: 25-28

    • Related Report
      2021 Research-status Report
    • Open Access
  • [Journal Article] CLASSIFICATION OF METEOROLOGICAL FILED PATTERNS THAT CAUSED HEAVY RAINFALL IN SOUTHERN KYUSHU USING SELF-ORGANIZING MAP2021

    • Author(s)
      朝位 孝二, 白水 元, 西山 浩司
    • Journal Title

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

      Volume: 77 Issue: 1 Pages: 111-123

    • DOI

      10.2208/jscejhe.77.1_111

    • NAID

      130008131390

    • ISSN
      2185-467X
    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] ANALYSIS ON DIURNAL VARIATIONS OF HEAVY RAINFALL FEATURES IN KYUSHU, JAPAN, USING SELF-ORGANIZING MAP2021

    • Author(s)
      西山 浩司, 白水 元, 朝位 孝二
    • Journal Title

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

      Volume: 77 Issue: 2 Pages: I_1135-I_1140

    • DOI

      10.2208/jscejhe.77.2_I_1135

    • NAID

      130008160080

    • ISSN
      2185-467X
    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Presentation] 自己組織化マップによる西部中国地方の気象場と線状降水帯の関係性の分析2024

    • Author(s)
      弘中勇駿,朝位孝二,西山浩司
    • Organizer
      自然災害研究協議会中国部会研究論文集
    • Related Report
      2023 Annual Research Report
  • [Presentation] 九州地方で発生する線状降水帯の特性について2024

    • Author(s)
      森 健太,西山浩司,朝位孝二
    • Organizer
      土木学会西部支部研究発表会講演概要集
    • Related Report
      2023 Annual Research Report
  • [Presentation] Classification of Typhoon Pattern landed in Japan using Self-Organizing Map2023

    • Author(s)
      Asai Koji、Shirozu Hajime、Nishiyama Koji
    • Organizer
      Proceedings of the 40th IAHR World Congress
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research

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Published: 2021-04-28   Modified: 2025-01-30  

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