Large-scale stochastic flood hazard analysis applied to the Po River

Journal Article (2020)
Author(s)

Alex Curran (TU Delft - Hydraulic Structures and Flood Risk, Deltares)

Karin de Bruijn (Deltares)

A. Domeneghetti (University of Bologna)

Federica Bianchi (University of Bologna)

M Kok (TU Delft - Hydraulic Structures and Flood Risk)

Sergiy Vorogushyn (GFZ Helmholtz-Zentrum für Geoforschung)

Attilio Castellarin (University of Bologna)

Research Group
Hydraulic Structures and Flood Risk
Copyright
© 2020 A.N. Curran, K.M. de Bruijn, Alessio Domeneghetti, Federica Bianchi, M. Kok, Sergiy Vorogushyn, Attilio Castellarin
DOI related publication
https://doi.org/10.1007/s11069-020-04260-w
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 A.N. Curran, K.M. de Bruijn, Alessio Domeneghetti, Federica Bianchi, M. Kok, Sergiy Vorogushyn, Attilio Castellarin
Research Group
Hydraulic Structures and Flood Risk
Issue number
3
Volume number
104
Pages (from-to)
2027-2049
Reuse Rights

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Abstract

Reliable hazard analysis is crucial in the flood risk management of river basins. For the floodplains of large, developed rivers, flood hazard analysis often needs to account for the complex hydrology of multiple tributaries and the potential failure of dikes. Estimating this hazard using deterministic methods ignores two major aspects of large-scale risk analysis: the spatial–temporal variability of extreme events caused by tributaries, and the uncertainty of dike breach development. Innovative stochastic methods are here developed to account for these uncertainties and are applied to the Po River in Italy. The effects of using these stochastic methods are compared against deterministic equivalents, and the methods are combined to demonstrate applications for an overall stochastic hazard analysis. The results show these uncertainties can impact extreme event water levels by more than 2 m at certain channel locations, and also affect inundation and breaching patterns. The combined hazard analysis allows for probability distributions of flood hazard and dike failure to be developed, which can be used to assess future flood risk management measures.