FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation

arXiv:2402.13371v1 Announce Type: new
Abstract: In coastal river systems, frequent floods, often occurring during major storms or king tides, pose a severe threat to lives and property. However, these floods can be mitigated or even prevented by strategically releasing water before extreme weather events with hydraulic structures such as dams, gates, pumps, and reservoirs. A standard approach used by local water management agencies is the "rule-based" method, which specifies predetermined pre-releases of water based on historical and time-tested human experience, …

architecture arxiv cs.lg deep learning flood forecast type