Author(s): Punit Bhola; Jorge Leandro; S. Konnerth; Kanwal Amin; Markus Disse
Linked Author(s):
Keywords: Database; Flood Forecast; Flood Inundation Map; Hydrodynamic Models
Abstract: The paper presents a new methodology for hydrodynamic-based flood forecast focusing on scenario generation and database queries to select the appropriate flood inundation map in real-time. In operational flood forecasting, discharges are forecast at specific gauges using hydrological models. The water levels are obtained from a rating curve designed for each respective gauge. Particularly for higher discharges when the flow over-spills the side banks, these curves are highly uncertain. Hydrodynamic models are then required to produce realistic inundation maps and water levels. Hydrodynamic models are computationally expensive and therefore not feasible for real-time forecasting. Alternatively, pre-calculated inundation maps can be stored in a database which contains a substantial number of scenarios, and used for extracting the most likely map in real-time. This study investigates the application of offline inundation forecast in the city Kulmbach in Germany.
Year: 2018