Articles | Volume 22, issue 1
https://doi.org/10.5194/nhess-22-265-2022
https://doi.org/10.5194/nhess-22-265-2022
Research article
 | 
01 Feb 2022
Research article |  | 01 Feb 2022

Cost–benefit analysis of coastal flood defence measures in the North Adriatic Sea

Mattia Amadio, Arthur H. Essenfelder, Stefano Bagli, Sepehr Marzi, Paolo Mazzoli, Jaroslav Mysiak, and Stephen Roberts

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Cited articles

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. 
Amadio, M. and Essenfelder, A. H.: Coastal flood inundation scenarios over Cesenatico and Rimini: hazard and risk for Business as Usual and Defended options, Zenodo [data set], https://zenodo.org/record/4783443, 2021. 
Anderson, T. R., Fletcher, C. H., Barbee, M. M., Romine, B. M., Lemmo, S., and Delevaux, J. M. S. M. S.: Modeling multiple sea level rise stresses reveals up to twice the land at risk compared to strictly passive flooding methods, Sci. Rep., 8, 14484, https://doi.org/10.1038/s41598-018-32658-x, 2018. 
Annunziato, A. and Probst, P.: Continuous Harmonics Analysis of Sea Level Measurements: Description of a new method to determine sea level measurement tidal component, https://doi.org/10.2788/4295, 2016. 
Antonioli, F., Anzidei, M., Amorosi, A., Lo Presti, V., Mastronuzzi, G., Deiana, G., De Falco, G., Fontana, A., Fontolan, G., Lisco, S., Marsico, A., Moretti, M., Orrù, P. E., Sannino, G. M., Serpelloni, E., and Vecchio, A.: Sea-level rise and potential drowning of the Italian coastal plains: Flooding risk scenarios for 2100, Quat. Sci. Rev., 158, 29–43, https://doi.org/10.1016/j.quascirev.2016.12.021, 2017. 
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Short summary
We estimate the risk associated with storm surge events at two case study locations along the North Adriatic Italian coast, considering sea level rise up to the year 2100, and perform a cost–benefit analysis of planned or proposed coastal renovation projects. The study uses nearshore hydrodynamic modelling. Our findings represent a useful indication for disaster risk management, helping to understand the importance of investing in adaptation and estimating the economic return on investments.
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