| Project/Area Number |
21K14253
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 22040:Hydroengineering-related
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| Research Institution | Kitami Institute of Technology (2022-2023)
Hiroshima University (2021) |
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Principal Investigator |
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| Project Period (FY) |
2021-04-01 – 2024-03-31
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| Project Status |
Completed (Fiscal Year 2023)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2023: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2022: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2021: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
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| Keywords | River / Streamflow / Tomography / Watershed / Rainfall / Acoustics / Turbidity / River flow / Acoustic tomography / Massive flood / Water resources / Hydrology / Sediment dynamics / Deep learning |
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| Outline of Research at the Start |
This project aims to investigate and interpret the hidden characteristics of river flow behavior and catchment dependent indicators mainly during torrential floods using an advanced automated hydroacoustic system. First, the latest improved version of the Fluvial Acoustic Tomography (FAT) system will be deployed to get temporal variations of river flow with
high-resolution. Then, precise quantification of river information, and investigations for the patterns of river flow induced by heavy floods will be performed. Thus, to clarify precise real-time dynamics of river and watershed behavior.
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| Outline of Final Research Achievements |
In this project, the PI investigated and examined the hidden patterns of river flow behavior and catchment storage indicators in a mountainous watershed located in west of Japan mainly during torrential floods.In particular, the key achievements can be outlined as follows:
First, a new generation of the Fluvial Acoustic Tomography system was improved and deployed to provide precise information of river dynamics during floods. Second, for the first time, guidelines were developed to continuously estimate flow direction using a triangular arrangement of acoustic tomography system. Third, hidden flood patterns and their similarities were deciphered using different models (e.g., deep learning and entropy models). Last, relationships of rainfall-turbidity and turbidity-runoff were examined and investigated.
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| Academic Significance and Societal Importance of the Research Achievements |
The scientific contribution is to clarify accurate dynamics of floods using advanced, automated real-time monitoring system. Besides, to elucidate watershed response during torrential floods. Thus, to create safe environments and communities as an important social objective.
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