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2023 年度 実施状況報告書

Predicting river discharge in mountainous river basins during heavy rain events using seismic noise data

研究課題

研究課題/領域番号 22K03742
研究機関国立研究開発法人防災科学技術研究所

研究代表者

P.C. Shakti  国立研究開発法人防災科学技術研究所, 水・土砂防災研究部門, 主任専門研究員 (60863553)

研究分担者 澤崎 郁  国立研究開発法人防災科学技術研究所, 地震津波火山ネットワークセンター, 主任専門研究員 (30707170)
研究期間 (年度) 2022-04-01 – 2025-03-31
キーワードRiver discharge / Noise data / Hi-net / Flow estimation / Flood events / Hydrological simulation / River basins / Flood risk
研究実績の概要

The objective of this study is to use seismic data to estimate river discharge, particularly during floods in mountainous river basins, integrating the disciplines of Hydrology and Seismology. After reviewing Hi-net noise observations and the availability of hydrological data, we selected certain river basins for analysis. In these basins, we conducted hydrological simulations to analyze flood dynamics and investigated correlations between Hi-net noise and river flow data during flood events. Additionally, we evaluated how seismic noise data across different frequency ranges correlated with the simulated discharge data during floods.
Our findings indicate that a strong correlation holds significance in mountainous regions characterized by steep riverbed slope. Furthermore, we observed that this correlation is particularly distinct within the 1-2 Hz frequency range. This phenomenon occurs because microseisms contaminate noise below 1 Hz, while noise energy above 2 Hz undergoes significant attenuation during propagation, thereby limiting its long-distance propagation. We continued our investigation into the link between seismic data and river flow, thereby expanding our understanding of these interactions.
Portions of this research were presented at national and international conferences, published in journals articles/proceedings. Part of this study was also highlighted in the Science Japan magazine, published by the Japan Science and Technology Agency (JST), specifically within the section on 'International Brain Circulation and Japan's initiatives to foster it.'

現在までの達成度 (区分)
現在までの達成度 (区分)

2: おおむね順調に進展している

理由

In this study, we have analyzed observed seismic noise data (Hi-net) and simulated river discharge to reach our objectives. Discovering key insights from the analysis of these diverse data sets, each serving different purposes and disciplines, proved both challenging and fascinating. We processed Hi-net data from various stations across different river basins for historical events and conducted hydrological simulations to extract river discharge data for those events in the selected basins. We have regularly been sharing and presenting our results with national and international academic societies.
We are in the time line of projects. However, publishing our all results with summarizing them may takes slightly long time depending up on the processing time of journal types. Util the date, we have not experienced any difficulties to carry on our research. Currently, we are analyzing long-term Hi-net and simulated river discharge data across various stations in several mountainous river basins. We anticipate finalizing our results later this year, as scheduled in our project timeline.

今後の研究の推進方策

The objective of this study is to demonstrate how seismic data can be used to estimate river discharge, with a particular focus on flood conditions in mountainous river basins. This research is based on the interdisciplinary subjects i.e., Hydrology and Seismology. We conducted hydrological simulations of several river basins in Japan, considering various flood scenarios. A comparative analysis was performed between the simulated river discharge and nearby Hi-net data across different frequency ranges in mountainous river basins. We will continue to study the modeling and verification of the physical mechanism of seismic noise and river discharge.
Based on the results we obtained in 2023 fiscal year; we are currently conducting a long-term analysis to predict river flow in mountainous river basins by correlating noise data with simulated river discharge. We aim to develop a suitable empirical relationship at some seismic stations to predict regular discharge time series. We anticipate establishing a strong correlation between Hi-net data and simulated river discharge at certain stations of mountainous river basins. Our research is progressing according to plan, and we intend to submit our research outcomes to peer-reviewed journals and present them at national/international conferences this year.

次年度使用額が生じた理由

In our original research plan, we intended to attend various national and international conferences. However, we participated virtually in some conferences last year, resulting in underutilization of our allocated budget.
This year, our plan includes not only participating in national and international conferences but also publishing research articles, aiming to fully utilize the budgeted funds.

備考

PI was interviewed, and details of this KAKENHI project, including PI's research summaries and opportunities, has been published in English, Japanese, and Chinese by Science Japan of JST.

  • 研究成果

    (9件)

すべて 2023 その他

すべて 雑誌論文 (2件) (うちオープンアクセス 2件) 学会発表 (6件) (うち国際学会 4件、 招待講演 1件) 備考 (1件)

  • [雑誌論文] Estimation of river discharge using NIED Hi-net data during flooding event: a case study for Typhoon Hagibis, 20192023

    • 著者名/発表者名
      PC Shakti、Sawazaki Kaoru
    • 雑誌名

      水文・水資源学会研究発表会要旨集

      巻: 36 ページ: 412~

    • DOI

      10.11520/jshwr.36.0_412

    • オープンアクセス
  • [雑誌論文] 令和元年東日本台風時の水位記録とHi-net地震計ノイズ記録の統計解析2023

    • 著者名/発表者名
      澤崎 郁、PC Shakti
    • 雑誌名

      水文・水資源学会研究発表会要旨集

      巻: 36 ページ: 402~

    • DOI

      10.11520/jshwr.36.0_402

    • オープンアクセス
  • [学会発表] Estimating river discharge in mountainous river basins using high-sensitivity seismometers during extreme rain events2023

    • 著者名/発表者名
      PC Shakti、Sawazaki Kaoru
    • 学会等名
      AGU Fall Meeting
    • 国際学会
  • [学会発表] Monitoring river flow utilizing high-sensitivity seismometers during catastrophic flood events2023

    • 著者名/発表者名
      PC Shakti
    • 学会等名
      Tsukuba Conference
    • 国際学会 / 招待講演
  • [学会発表] Estimation of river discharge using NIED Hi-net data during flooding event: a case study for Typhoon Hagibis, 20192023

    • 著者名/発表者名
      PC Shakti、Sawazaki Kaoru
    • 学会等名
      Annual conference of Japan society of hydrology and water resources
  • [学会発表] 令和元年東日本台風時の水位記録とHi-net地震計ノイズ記録の統計解析2023

    • 著者名/発表者名
      澤崎 郁、PC Shakti
    • 学会等名
      Annual conference of Japan society of hydrology and water resources
  • [学会発表] The relationships between seismic noise energy excited by a streamflow and water level revealed from spectral analysis of Hi-net seismograms2023

    • 著者名/発表者名
      Sawazaki Kaoru、PC Shakti
    • 学会等名
      IUGG General Assembly
    • 国際学会
  • [学会発表] PC Shakti PC、Hirano Kohin、Iizuka Satoshi2023

    • 著者名/発表者名
      Quick Exposure Assessment of Flood Inundation during Extreme Rain Events
    • 学会等名
      Esri User Conference
    • 国際学会
  • [備考] Contributing to water-disaster..

    • URL

      https://sj.jst.go.jp/interviewsandopinions/2023/c1102-01c.html

URL: 

公開日: 2024-12-25  

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