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2020 Fiscal Year Final Research Report

Data-driven Active River Channel Control for Maintenance and Recovery of Stream Integrity

Research Project

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Project/Area Number 19K22026
Research Category

Grant-in-Aid for Challenging Research (Exploratory)

Allocation TypeMulti-year Fund
Review Section Medium-sized Section 25:Social systems engineering, safety engineering, disaster prevention engineering, and related fields
Research InstitutionNiigata University

Principal Investigator

Muramatsu Shogo  新潟大学, 自然科学系, 教授 (30295472)

Co-Investigator(Kenkyū-buntansha) 安田 浩保  新潟大学, 災害・復興科学研究所, 准教授 (00399354)
早坂 圭司  新潟大学, 自然科学系, 研究教授 (40377966)
大竹 雄  東北大学, 工学研究科, 准教授 (90598822)
Project Period (FY) 2019-06-28 – 2021-03-31
Keywordsサイバー・フィジカル・システム / 流路変動 / 河道制御 / データ駆動 / 強化学習
Outline of Final Research Achievements

In this study, we proposed a river channel active control method to maintain and restore river channel integrity. A cyber-physical system (CPS) for controlling river channel dynamics is proposed, and a data-driven algorithm for deriving the time evolution equation of river bed movement and estimating the channel dynamics is developed as a useful technique for the CPS construction. We also proposed a method for predicting the water level distribution in the whole river system.
A prototype CPS was constructed to control the optimal placement of groynes to maintain a healthy channel, and a series of processes from sensing to actuation was realized.
We made 7 presentations at domestic conferences and 2 presentations at international conferences as research results.

Free Research Field

防災工学

Academic Significance and Societal Importance of the Research Achievements

近年,大規模な河川災害が頻発し,人命と社会資産の損失が繰り返され,既存の治水技術の効力不足を露呈している.現時点では,洪水流の偏心の発生機構が未解明なため,沿川のインフラや集落の保護工法も予兆検出も技術を確立できていない.勘と経験に頼る対策ではなく,デジタル化による河川の状態予測と治水の機能拡張が求められている.
CPSの構築には,技術分野を横断する複合現象モデルの開発,検証が求められる.モデリングの拠り所となる河川物理が十分に解明されていない現在,異分野融合体制で新たな価値を創出した本研究は,挑戦的でさらなる研究展開の礎となり学術的にも社会的にも意義があった.

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Published: 2022-01-27  

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