Litcius/Paper detail

Quantifying the relative impact of hydrological and hydraulic modelling parameterizations on uncertainty of inundation maps

Antonio Annis, Fernando Nardi, Elena Volpi, Aldo Fiori

2020Hydrological Sciences Journal57 citationsDOI

Abstract

Flood risk management strongly relies on inundation models for river basin zoning in flood-prone and risk-free areas. Floodplain zoning is significantly affected by the diverse and concurrent uncertainties that characterize the modelling chain used for producing inundation maps. In order to quantify the relative impact of the uncertainties linked to a lumped hydrological (rainfall–runoff) model and a FLO-2D hydraulic model, a Monte Carlo procedure is proposed in this work. The hydrological uncertainty is associated with the design rainfall estimation method, while the hydraulic model uncertainty is associated with roughness parameterization. This uncertainty analysis is tested on the case study of the Marta coastal catchment in Italy, by comparing the different frequency, extent and depth of inundation simulations associated with varying rainfall forcing and/or hydraulic model roughness realizations. The results suggest a significant predominance of the hydrological uncertainty with respect to the hydraulic one on the overall uncertainty associated with the simulated inundation maps.

Topics & Concepts

Environmental scienceFlood mythHydrology (agriculture)FloodplainZoningSurface runoffUncertainty analysis100-year floodForcing (mathematics)Drainage basinStructural basinClimatologyGeologyStatisticsGeotechnical engineeringMathematicsGeographyGeomorphologyCivil engineeringEngineeringBiologyArchaeologyCartographyEcologyFlood Risk Assessment and ManagementHydrology and Watershed Management StudiesHydrology and Drought Analysis