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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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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