Articles | Volume 16, issue 1
https://doi.org/10.5194/nhess-16-181-2016
https://doi.org/10.5194/nhess-16-181-2016
Research article
 | 
19 Jan 2016
Research article |  | 19 Jan 2016

Evaluation of coastal vulnerability to flooding: comparison of two different methodologies adopted by the Emilia-Romagna region (Italy)

L. Perini, L. Calabrese, G. Salerno, P. Ciavola, and C. Armaroli

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Cited articles

Armaroli, C. and Perini, L.: A simplified methodology for the estimation of wave runup on armoured rubble slopes for vulnerability assessment, in: Proceedings of 7th Euregeo Conference, I, Bologna, Italy, 12–15 June 2012, 355–356, 2012.
Armaroli, C., Ciavola, P., and Masina, M.: Morphological thresholds for the definition of the vulnerability of coastal dunes in northern Italy, in: Proceedings of AGU Conference, 90(52), EOS Transaction. AGU, San Francisco, California, 14–18 December 2009, 2009a.
Armaroli, C., Ciavola, P., Masina, M., and Perini, L.: Run-up computation behind emerged breakwaters for marine storm risk assessment, J. Coastal Res, SI 56, 1612–1616, 2009b.
Armaroli, C., Ciavola, P., Perini, L., Calabrese, L., Lorito, S., Valentini, A., and Masina, M.: Critical storm thresholds for significant morphological changes and damage along the Emilia-Romagna coastline, Italy, Geomorphology, 143–144, 34–51, https://doi.org/10.1016/j.geomorph.2011.09.006, 2012a.
Armaroli, C., Perini, L., Calabrese, L., Luciani, P., Salerno, G., and Ciavola, P.: Cartografia di rischio da mareggiata della fascia costiera della Regione Emilia-Romagna, in: Proceedings of Meeting Marino, edited by: D'angelo, S. and Fiorentino, A., ISPRA, Roma, 25–26 October 2012, ISBN 978-88-448-0587-6, 25–33, 2012b.
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Short summary
The paper compares two methodologies adopted by the Emilia-Romagna region, northern Italy, to evaluate coastal vulnerability and to produce hazard and risk maps for coastal floods, in the framework of the EU Floods Directive. The flooded area extension is determined by a series of computations, whose core is the Cost Distance tool of ArcGIS®. The qualitative validation and the comparison between the two methods show a positive agreement.
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