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Estimation of river channel bathymetry using a global river model and satellite altimetry

Research Project

Project/Area Number 16H06101
Research Category

Grant-in-Aid for Young Scientists (A)

Allocation TypeSingle-year Grants
Research Field Hydraulic engineering
Research InstitutionThe University of Tokyo (2017-2019)
Japan Agency for Marine-Earth Science and Technology (2016)

Principal Investigator

YAMAZAKI Dai  東京大学, 生産技術研究所, 准教授 (70736040)

Project Period (FY) 2016-04-01 – 2020-03-31
Project Status Completed (Fiscal Year 2019)
Budget Amount *help
¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2018: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywords全球河川モデル / 衛星高度計 / 河川地形 / データ同化 / 水文学 / 数値標高データ
Outline of Final Research Achievements

In this study, we developed a method to estimate river channel bathymetry by combining a global river model with a satellite altimeter.
First, it was necessary to significantly improve the accuracy of the hydro-topography data. We first developed the world's most accurate global elevation data MERIT DEM by removing multiple error components. We also construct a high-precision global river data MERIT Hydro by integrating various water area maps. As a result, the reliability of floodplain topographical parameters and river channel width parameters of the global river model has been significantly improved, and error information of water surface elevation can be used for estimating channel depth parameters.
Then, we developed an algorithm that optimizes the channel depth parameter so as to reduce the water surface elevation error. River depth estimation experiments in the Amazon basin confirmed the effectiveness of the river depth estimation.

Academic Significance and Societal Importance of the Research Achievements

本研究で開発した高精度の水文地形データMERIT DEMとMERIT Hydroは、全球河川モデルの高度化に限らず、地球科学分野の多様な研究に使われる基盤データとなった。202年6月現在、のべ2000以上の研究者にデータを提供し、多様な研究に活用されている。
河道深さの最適化による全球河川モデルの高度化は、洪水リスク管理や気候変動予測など様々な社会実装につながると期待される。

Report

(5 results)
  • 2019 Annual Research Report   Final Research Report ( PDF )
  • 2018 Annual Research Report
  • 2017 Annual Research Report
  • 2016 Annual Research Report
  • Research Products

    (30 results)

All 2019 2018 2017 2016 Other

All Int'l Joint Research (7 results) Journal Article (9 results) (of which Int'l Joint Research: 5 results,  Peer Reviewed: 8 results,  Open Access: 4 results,  Acknowledgement Compliant: 1 results) Presentation (8 results) (of which Int'l Joint Research: 7 results,  Invited: 4 results) Remarks (6 results)

  • [Int'l Joint Research] ノースカロライナ大学/テキサスA&M大学(米国)

    • Related Report
      2019 Annual Research Report
  • [Int'l Joint Research] ブリストル大学(英国)

    • Related Report
      2019 Annual Research Report
  • [Int'l Joint Research] ブリストル大学(英国)

    • Related Report
      2018 Annual Research Report
  • [Int'l Joint Research] University of Bristol(英国)

    • Related Report
      2017 Annual Research Report
  • [Int'l Joint Research] SWOT Science Team Meeting(アイルランド)

    • Related Report
      2017 Annual Research Report
  • [Int'l Joint Research] University of Bristol(英国)

    • Related Report
      2016 Annual Research Report
  • [Int'l Joint Research] University College Dublin(アイルランド)

    • Related Report
      2016 Annual Research Report
  • [Journal Article] MERIT Hydro: A high-resolution global hydrography map based on latest topography datasets2019

    • Author(s)
      Yamazaki, D., D. Ikeshima, J. Sosa, P.D. Bates, G.H. Allen, T.M. Pavelsky
    • Journal Title

      Water Resources Research

      Volume: 55 Issue: 6 Pages: 5053-5073

    • DOI

      10.1029/2019wr024873

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] A Physically Based Empirical Localization Method for Assimilating Synthetic SWOT Observations of a Continental-Scale River: A Case Study in the Congo Basin2019

    • Author(s)
      Revel、Ikeshima、Yamazaki、Kanae
    • Journal Title

      Water

      Volume: 11 Issue: 4 Pages: 829-829

    • DOI

      10.3390/w11040829

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] 衛星観測水面標高データを用いた河川氾濫モデルの河道深パラメータの推定2019

    • Author(s)
      塩澤拓斗, 山崎大
    • Journal Title

      土木学会論文集B1(水工学)

      Volume: 75 Pages: 259-264

    • NAID

      130007940156

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] 日本全域高解像度の表面流向データ整備2018

    • Author(s)
      山崎大, 冨樫冴佳, 竹島滉, 佐山敬洋
    • Journal Title

      土木学会論文集B1(水工学)

      Volume: 74 (5) Pages: 163-168

    • NAID

      130007757835

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] ESTIMATING GLOBAL RIVER BATHYMETRY BY ASSIMILATING SYNTHETIC SWOT MEASUREMENTS2018

    • Author(s)
      Menaka REVEL, Dai YAMAZAKI and Shinjiro KANAE
    • Journal Title

      土木学会論文集B1(水工学)

      Volume: 74 (5) Pages: 307-312

    • NAID

      130007628256

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] ESTIMATING GLOBAL RIVER BATHYMETRY BY ASSIMILATING SYNTHETIC SWOT MEASUREMENTS2018

    • Author(s)
      Menaka Revel, Dai Yamazaki, Shinjiro Kanae
    • Journal Title

      土木学会論文集B1(水工学)

      Volume: 74(4) Pages: 307-312

    • NAID

      130007628256

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] A high-accuracy map of global terrain elevations2017

    • Author(s)
      Dai Yamazaki, Daiki Ikeshima, Ryunosuke Tawatari, Tomohiro Yamaguchi, Fiachra O’Loughlin, Jeff C. Neal, Christopher C. Sampson, Shinjiro Kanae, and Paul D. Bates
    • Journal Title

      Geophysical Research Letters

      Volume: 44 Issue: 11 Pages: 5844-5853

    • DOI

      10.1002/2017gl072874

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] ICESat-derived inland water surface spot heights2016

    • Author(s)
      O'Loughlin, F. E., J. Neal, D. Yamazaki, and P. D. Bates
    • Journal Title

      Water Resources Research

      Volume: vol.52 Issue: 4 Pages: 3276-3284

    • DOI

      10.1002/2015wr018237

    • Related Report
      2016 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research / Acknowledgement Compliant
  • [Journal Article] Hydrology: the dynamics of Earth's surface water2016

    • Author(s)
      Dai Yamazaki, Mark A. Trigg
    • Journal Title

      Nature

      Volume: 540 Issue: 7633 Pages: 348-349

    • DOI

      10.1038/nature21100

    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Global river routing & flood inundation modelling: Recent advances and future perspective2019

    • Author(s)
      Dai Yamazaki
    • Organizer
      Hydro-JULES: Next Generation Land-surface and Hydrological Predictions
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] MERIT DEM: a high-accuracy global elevation map by multi-component error removal2018

    • Author(s)
      Dai Yamazaki
    • Organizer
      Geomorphometry 2018
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] MERIT DEM: A new high-accuracy global digital elevation model and its merit to global hydrodynamic modeling2017

    • Author(s)
      Dai Yamazaki, Daiki Ikeshima, Ryunosuke Tawatari, Tomohiro Yamaguchi, Fiachra O'Loughlin, Jeff C. Neal, Christopher C. Sampson, Shinjiro Kanae, and Paul D. Bates
    • Organizer
      AGU Fall Meeting 2017
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Global WSE assimilation to CaMa-Flood2017

    • Author(s)
      Dai Yamazaki, Daiki Ikeshima, Jean-Francois Vuillaume, SHinjiro Kanae
    • Organizer
      SWOT Science Team Meeting
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] New and better global terrain elevation data for global hydrology modelling2016

    • Author(s)
      Dai Yamazaki, Daiki Ikeshima, Ryounosuke Tawatari, Shinjiro Kanae
    • Organizer
      American Geophysical Union Fall Meeting 2016
    • Place of Presentation
      San Fransisco, CA, USA
    • Year and Date
      2016-12-16
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Global hydrodynamic modelling of flood inundation in continental rivers: How can we achieve it?2016

    • Author(s)
      Dai Yamazaki
    • Organizer
      American Geophysical Union Fall Meeting 2016
    • Place of Presentation
      San Fransisco, CA, USA
    • Year and Date
      2016-12-13
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] ICESatレーザー高度計を用いたSRTM DEMの高精度化2016

    • Author(s)
      山崎大, 池嶋大樹
    • Organizer
      水文・水資源学会2016研究発表会
    • Place of Presentation
      コラッセふくしま(福島県・福島市)
    • Year and Date
      2016-09-16
    • Related Report
      2016 Annual Research Report
  • [Presentation] New and better topography datasets for global flood modelling2016

    • Author(s)
      Dai Yamazaki
    • Organizer
      Global Flood Partnershoip Conference 2016
    • Place of Presentation
      Ispra, Italy
    • Year and Date
      2016-06-29
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research
  • [Remarks] CaMa-Flood global hydrodynamic model

    • URL

      http://hydro.iis.u-tokyo.ac.jp/~yamadai/cama-flood/index.html

    • Related Report
      2019 Annual Research Report
  • [Remarks] MERIT Hydro: global hydrography datasets

    • URL

      http://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_Hydro/index.html

    • Related Report
      2019 Annual Research Report
  • [Remarks] MERIT DEM

    • URL

      http://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_DEM/index.html

    • Related Report
      2019 Annual Research Report
  • [Remarks] Multi-Error-Removed Improved-Terrain DEM

    • URL

      http://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_DEM/index.html

    • Related Report
      2018 Annual Research Report
  • [Remarks] 日本域表面流向マップ

    • URL

      http://hydro.iis.u-tokyo.ac.jp/~yamadai/JapanDir/index.html

    • Related Report
      2018 Annual Research Report
  • [Remarks] MERIT DEM

    • URL

      http://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_DEM/

    • Related Report
      2017 Annual Research Report

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Published: 2016-04-21   Modified: 2022-06-14  

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