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2022 Fiscal Year Research-status Report

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

Research Project

Project/Area Number 22K03742
Research InstitutionNational Research Institute for Earth Science and Disaster Prevention

Principal Investigator

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, 特別研究員 (60863553)

Co-Investigator(Kenkyū-buntansha) 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, 特別研究員 (30707170)
Project Period (FY) 2022-04-01 – 2025-03-31
KeywordsRiver discharge / Seismic noise / Hi-net / hydrological station / Flood events / Hydrological simulation / River basins / Flood risk management
Outline of Annual Research Achievements

The aim of this study is to demonstrate the application of seismic data for estimating the discharge in a river basin particularly during a flooding event. This research is based on the interdisciplinary subjects i.e., Hydrology and Seismology.

Based on Hi-net observations and hydrological data availability, we selected mountainous river basins for the hydrological simulations. We then examined the relationship between Hi-net data and water flow data, as well as simulated discharges during a flood event. We found that the flow of a nearby river and Hi-net in mountainous river basins reflected a similar patterns, especially during a high peak flow of the flood event. At this stage, the results indicated that seismic noise data in the frequency range of 1-2 Hz exhibited a similar trend to the simulated discharge values. Further evaluation of the relationship between seismic and river flow data has been examined. Some of these findings have been published and presented at national and international conferences and in feature article.

Current Status of Research Progress
Current Status of Research Progress

3: Progress in research has been slightly delayed.

Reason

At the beginning of our research in 2022, we were unable to accelerate our planned meetings and discussions mainly due to the COVID-19 emergency. Therefore, our research plan is slightly behind the stated schedule. Our planned field survey was also delayed due to the COVID-19 situation last year.

Strategy for Future Research Activity

We are trying to perform hydrological simulation of some river basins in Japan considering several flood events cases. A comparative analysis has carried out between extracted simulated river discharge of river points and nearby Hi-net data (different frequency ranges) in mountainous river basins. Part of those results will be presented during the September 3-6, 2023, JSHWR annual meeting.

An appropriate frequency range of noise data will be determined at each Hi-net station to predict nearby river flow in mountainous river basins. Furthermore, a suitable empirical relationship is expected to be developed at some seismic stations to predict river discharge in a regular time interval. Research outcomes will be submitted to peer-reviewed journals and national/international conferences.

Causes of Carryover

Last year, we did not physically attend the AGU conference due to COVID-19 situation. Our research plan is to participate the national and international conferences this year to utilize all incurring amounts.

Remarks

Fundamentals 04: Interview with a researcher who challenges disasters
"Estimate flood hazard levels by predicting river discharge increase based on seismic noise"

  • Research Products

    (7 results)

All 2023 2022 Other

All Journal Article (2 results) (of which Peer Reviewed: 1 results,  Open Access: 2 results) Presentation (4 results) (of which Int'l Joint Research: 3 results,  Invited: 1 results) Remarks (1 results)

  • [Journal Article] Developing Flood Risk Zones during an Extreme Rain Event from the Perspective of Social Insurance Management2023

    • Author(s)
      P. C. Shakti、Hirano Kohin、Iwanami Koyuru
    • Journal Title

      Sustainability

      Volume: 15 Pages: 4909~4909

    • DOI

      10.3390/su15064909

    • Peer Reviewed / Open Access
  • [Journal Article] Predicting and managing flood risks from extreme rain events in Japan2023

    • Author(s)
      P. C. Shakti
    • Journal Title

      Research Outreach

      Volume: 134 Pages: 52-57

    • DOI

      10.32907/RO-135-4237348290

    • Open Access
  • [Presentation] An approach for predicting river discharge during heavy rain events using seismic noise data2023

    • Author(s)
      P. C. Shakti、Sawazaki Kaoru
    • Organizer
      The 2nd Workshop between National Science and Technology Center for Disaster Reduction of Taiwan (NCDR) and National Research Institute for Earth Science and Disaster Resilience of Japan (NIED)
    • Invited
  • [Presentation] Flood inundation mapping of river basins during extreme rain events2023

    • Author(s)
      P. C. Shakti PC、Hirano Kohin 、Iizuka Satoshi
    • Organizer
      The 9th International Conference on Flood Management (ICFM9)
    • Int'l Joint Research
  • [Presentation] An approach for predicting river discharge during heavy rain events using seismic noise data in ungauged mountainous river basins2022

    • Author(s)
      P. C. Shakti、Sawazaki Kaoru
    • Organizer
      AGU Fall Meeting
    • Int'l Joint Research
  • [Presentation] Reproduction of water-level during a flood event using the streamflow noise recorded by Hi-net2022

    • Author(s)
      Sawazaki Kaoru、P. C. Shakti
    • Organizer
      JpGU Meeting
    • Int'l Joint Research
  • [Remarks] NIED INTEGRATED REPORT 2021

    • URL

      https://www.bosai.go.jp/e/sp/about/nbrruo0000000lxk-att/IR2021_01EN.pdf

URL: 

Published: 2023-12-25  

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