機械学習ベースのハイブリッドモデルを用いた新たな都市建物洪水リスク指標の作成

• Project/Area Number: 24KF0213
• Research Category: Grant-in-Aid for JSPS Fellows
• Allocation Type: Multi-year Fund
• Section: 外国
• Review Section: Basic Section 22040:Hydroengineering-related
• Research Institution: Institute of Science Tokyo
• Principal Investigator: 鼎 信次郎 東京科学大学, 環境・社会理工学院, 教授 (20313108)
• Co-Investigator(Kenkyū-buntansha): ELSADEK WAEL
• Project Period (FY): 2024-11-15 – 2027-03-31
• Project Status: Adopted (Fiscal Year 2024)
• Budget Amount: ¥2,000,000 (Direct Cost: ¥2,000,000); Fiscal Year 2026: ¥100,000 (Direct Cost: ¥100,000); Fiscal Year 2025: ¥1,200,000 (Direct Cost: ¥1,200,000); Fiscal Year 2024: ¥700,000 (Direct Cost: ¥700,000)