2022 Fiscal Year Final Research Report
Developing a predictive simulation of flood and inundation with sediment transport
| Project/Area Number |
19K15105
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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 | Kyoto University |
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Principal Investigator |
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| Project Period (FY) |
2019-04-01 – 2023-03-31
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| Keywords | 土砂災害 / 土石流 / HPC / 被害推定 / 確率ハザードマップ |
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| Outline of Final Research Achievements |
To develop a method for predicting the affected area of the inundation, which contains a large amount of sediment, we first developed a simulation of a debris flow that can be run on a supercomputer. Next, a probabilistic estimation method of the initiation point of the debris flow was developed based on the topographical conditions. We conducted the simulations using the initiation point data as input to develop a predictive-type simulation. In addition, we developed a direct estimation method of sediment production based on LiDAR differential observation data and rainfall observation data. We also developed a method for instantaneously predicting the 3D damage information from satellite observation data by using the predicted data obtained in this research as training data for machine learning.
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| Free Research Field |
水工学
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| Academic Significance and Societal Importance of the Research Achievements |
本研究の成果により，土砂を含んだ氾濫現象の被害領域を，観測可能な地形データや降雨データを用いて予測するためのシミュレーション手法を開発した．この方法に基づいたリアルタイムの予測システムを構築することができれば，例えば豪雨が観測または予測されたとき，どこでどの程度の被害が発生するのかを，確率の空間分布として示すことができるようになると期待できる．
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