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気候変動と土地利用変化を考慮したダム開発の河川水文や地形への影響評価

Research Project

Project/Area Number 18F18049
Research Category

Grant-in-Aid for JSPS Fellows

Allocation TypeSingle-year Grants
Section外国
Research Field Hydraulic engineering
Research InstitutionTokyo Institute of Technology

Principal Investigator

鼎 信次郎  東京工業大学, 環境・社会理工学院, 教授 (20313108)

Co-Investigator(Kenkyū-buntansha) SANYAL JOY  東京工業大学, 環境・社会理工学院, 外国人特別研究員
Project Period (FY) 2018-07-25 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥2,300,000 (Direct Cost: ¥2,300,000)
Fiscal Year 2020: ¥200,000 (Direct Cost: ¥200,000)
Fiscal Year 2019: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 2018: ¥1,200,000 (Direct Cost: ¥1,200,000)
Keywordsdams / predict erosion / sediment transport / Godavari River / Downstream Erosion / Climate Change / SWAT / dam-related erosion / sediment yield / river erosion / climate change
Outline of Annual Research Achievements

The purpose of this study is to develop an empirical method that can quantitatively predict riverbed changes caused by dams based on observation data obtained over a wide area, and to clarify whether the magnitude of the impact of dams on the downstream riverbed changes with climate change. The Godavari River in India, where there are many large dams and where hydrological data are available, was selected as the target area.
In Saigon, Kumhari, Nowrangpur, etc., the results agreed well with those predicted by existing analytical methods, while in Dhalegaon, Bamini, Jagdalpur, etc., the results suggested a short cycle of erosion and recovery of the riverbed, contrary to the results of analytical methods.
The results of reproducing, predicting, and evaluating the riverbed changes by applying past climatic conditions and future climate change scenarios showed that the model can adequately represent the riverbed changes. As for the future projections, the results showed that it is necessary to use several CMIP5 models to make appropriate projections, considering the uncertainty.
Even if warming is moderate, dam construction is expected to increase the rate of riverbed erosion under climate change, and rapid warming is expected to increase the frequency of floods and further accelerate erosion.
These results are significant not only because they show that the empirical model of this study is capable of making appropriate predictions, but also because they quantitatively show how dam construction will affect the riverbed under warming conditions.

Research Progress Status

令和2年度が最終年度であるため、記入しない。

Strategy for Future Research Activity

令和2年度が最終年度であるため、記入しない。

Report

(3 results)
  • 2020 Annual Research Report
  • 2019 Annual Research Report
  • 2018 Annual Research Report
  • Research Products

    (5 results)

All 2021 2020 2019 2018

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

  • [Journal Article] Examining the downstream geomorphic impact of a large dam under climate change2021

    • Author(s)
      Sanyal Joy、Wesley Lauer J.、Kanae Shinjiro
    • Journal Title

      CATENA

      Volume: 196 Pages: 104850-104850

    • DOI

      10.1016/j.catena.2020.104850

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Predicting dam‐related downstream geomorphic response with widely available stream gauge data: A case study of the Godavari River Basin, India2020

    • Author(s)
      Sanyal Joy、Dasgupta Priyanka、Kanae Shinjiro
    • Journal Title

      Singapore Journal of Tropical Geography

      Volume: 41 Issue: 2 Pages: 284-298

    • DOI

      10.1111/sjtg.12323

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] Validating an Analytical Framework for Predicting Dam-Related Downstream Geomorphic Impacts in The Godavari River Basin, India2019

    • Author(s)
      J. Sanyal, S. Kanae
    • Organizer
      IUGG 27th General Assembly
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Reassessment of Reservoir Sedimentation Rates Under Monsoon Climate with Combined Optical and Microwave Remote Sensing2019

    • Author(s)
      J. Sanyal
    • Organizer
      AOGS 16th Annual Meeting
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Impact of different types of meteorological data inputs on predicted hydrological and erosive responses to projected land use change2018

    • Author(s)
      Joy Sanyal
    • Organizer
      SWAT Conference, Brussels. 2018
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research

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Published: 2018-07-26   Modified: 2024-03-26  

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