2022 Fiscal Year Final Research Report
| Project/Area Number |
20K15000
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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 25030:Disaster prevention engineering-related
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| Research Institution | Tohoku University |
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Principal Investigator |
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Keywords | 水害廃棄物 / 洪水氾濫解析 / 衛星画像解析 |
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| Outline of Final Research Achievements |
This study developed a system to identify inundated buildings with high accuracy by integrating numerical flood inundation analysis and satellite image analysis. In addition, issues in estimating the amount of flood waste generated using the results of numerical flood inundation analysis were clarified. With regard to inundated building discrimination, we conducted research in Mabi-cho, Kurashiki City, Okayama Prefecture, which was extensively inundated by the July 2018 torrential rainfall, and showed that the system can detect inundated buildings with 80% accuracy, which is equivalent to conventional methods. As for the estimation of flood waste, a study was conducted for Yamagata Prefecture, which was damaged by the July 2018 torrential rainfall, and it was found that the estimated value by numerical analysis tended to be overestimated compared to the amount of flood waste generation estimated by the existing studies.
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| Free Research Field |
防災水工学
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| Academic Significance and Societal Importance of the Research Achievements |
本研究の学術的意義は，水理学および水文学で開発が進められてる洪水氾濫数値解析モデルを水害廃棄物発生量推定に応用する場合に求められる浸水域と浸水深の再現精度を明らかにした点である．また，廃棄物工学の視点からは，災害廃棄物全体における水災害時の廃棄物発生量推定の手法論を示した点である．社会的意義は二つあり，災害廃棄物処理計画策定に資する情報提供ができる点と準リアルタイムの予測を行うことで，スムースな復旧・復興に役立つ情報提供ができる点である．
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