Articles | Volume 24, issue 12
https://doi.org/10.5194/nhess-24-4507-2024
https://doi.org/10.5194/nhess-24-4507-2024
Research article
 | 
10 Dec 2024
Research article |  | 10 Dec 2024

Flood risk assessment through large-scale modeling under uncertainty

Luciano Pavesi, Elena Volpi, and Aldo Fiori

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Cited articles

Alfieri, L., Feyen, L., Dottori, F., and Bianchi, A.: Ensemble flood risk assessment in Europe under high end climate scenarios, Global Environ. Chang., 35, 199–212, 2015. a, b, c
Alfieri, L., Feyen, L., and Di Baldassarre, G.: Increasing flood risk under climate change: a pan-European assessment of the benefits of four adaptation strategies, Climatic Change, 136, 507–521, 2016. a, b
Amadio, M., Scorzini, A. R., Carisi, F., Essenfelder, A. H., Domeneghetti, A., Mysiak, J., and Castellarin, A.: Testing empirical and synthetic flood damage models: the case of Italy, Nat. Hazards Earth Syst. Sci., 19, 661–678, https://doi.org/10.5194/nhess-19-661-2019, 2019. a
Annis, A., Nardi, F., Volpi, E., and Fiori, A.: Quantifying the relative impact of hydrological and hydraulic modelling parameterizations on uncertainty of inundation maps, Hydrolog. Sci. J., 65, 507–523, 2020. a
AUBAC: Autorità di bacino distrettuale dell'Appennino Centrale, https://aubac.it/ (last access: 27 May 2024), 2024. a, b
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Short summary
Several sources of uncertainty affect flood risk estimation for reliable assessment for investment, insurance and risk management. Here, we consider the uncertainty of large-scale flood hazard modeling, providing a range of risk values that show significant variability depending on geomorphic factors and land use types. This allows for identifying the critical points where single-value estimates may underestimate the risk and the areas of vulnerability for prioritizing risk reduction efforts.
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