Articles | Volume 19, issue 1
https://doi.org/10.5194/nhess-19-287-2019
https://doi.org/10.5194/nhess-19-287-2019
Research article
 | 
30 Jan 2019
Research article |  | 30 Jan 2019

Coastal vulnerability assessment: through regional to local downscaling of wave characteristics along the Bay of Lalzit (Albania)

Francesco De Leo, Giovanni Besio, Guido Zolezzi, and Marco Bezzi

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Cited articles

Battjes, J. A.: Run-up distributions of waves breaking on slopes, Journal of Waterways and Harbors Division, 97, 91–114, 1971. a
Blott, S. J. and Pye, K.: GRADISTAT: a grain size distribution and statistics package for the analysis of unconsolidated sediments, Earth Surf. Proc. Land., 26, 1237–1248, 2001. a
Boçi, S.: Evoluzione e problematiche ambientali del litorale albanese, B. Soc. Geol. Ital., 113, 7–14, 1994. a
Booij, N., Ris, R., and Holthuijsen, L.: A third-generation wave model for coastal regions, J. Geophys. Res., 104, 7649–7666, 2003. a
Bosom, E. and Jiménez, J. A.: Probabilistic coastal vulnerability assessment to storms at regional scale – application to Catalan beaches (NW Mediterranean), Nat. Hazards Earth Syst. Sci., 11, 475–484, https://doi.org/10.5194/nhess-11-475-2011, 2011. a, b, c, d
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This paper reviews the computation of vulnerability levels (VLs) of a coast to inundation with a known model. We refer to the original proposal, detailing the VL computation through an accurate investigation of the local wave climate. We prove that the resulting vulnerability is very sensitive due to the wave features taken into account, which have to be properly assessed. The research is the follow-up of a wider project set along the Bay of Lalzit (Albania).
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