2016
DOI: 10.5194/nhess-16-167-2016
|View full text |Cite
|
Sign up to set email alerts
|

Run-up parameterization and beach vulnerability assessment on a barrier island: a downscaling approach

Abstract: Abstract. We present a downscaling approach for the study of wave-induced extreme water levels at a location on a barrier island in Yucatán (Mexico). Wave information from a 30-year wave hindcast is validated with in situ measurements at 8 m water depth. The maximum dissimilarity algorithm is employed for the selection of 600 representative cases, encompassing different combinations of wave characteristics and tidal level. The selected cases are propagated from 8 m water depth to the shore using the coupling o… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

3
33
0
2

Year Published

2016
2016
2024
2024

Publication Types

Select...
7
2

Relationship

2
7

Authors

Journals

citations
Cited by 30 publications
(38 citation statements)
references
References 42 publications
3
33
0
2
Order By: Relevance
“…The 600 selected sea states were found to adequately represent the whole sample, and were well distributed throughout the time series of sea level and wave parameters (Fig 4a-c). This is consistent with prior studies (Guanche et al, 2013;Medellín et al, 2016). …”
Section: Simulated Casessupporting
confidence: 94%
See 1 more Smart Citation
“…The 600 selected sea states were found to adequately represent the whole sample, and were well distributed throughout the time series of sea level and wave parameters (Fig 4a-c). This is consistent with prior studies (Guanche et al, 2013;Medellín et al, 2016). …”
Section: Simulated Casessupporting
confidence: 94%
“…This numerical model solves the nonlinear shallow water equations, including the terms for non-hydrostatic pressure, which make it suitable for simulating wave transformation as a result of nonlinear wave-wave interactions in the surf and swash regions. The model is also capable of simulating wave-current interaction, wave breaking (Smit et al, 2013;de Bakker et al, 2015), wave 20 transformation on reefs (Torres-Freyermuth et al, 2012;Zijlema et al, 2012), and wave-runup (e.g., Brinkkemper et al, 2013;Ruju et al, 2014;Guimarao et al, 2015;Medellín et al, 2016). For further details, including model equations see (Zijlema et al, 2011).…”
Section: Numerical Model Validation 15mentioning
confidence: 99%
“…Others have addressed the impact of waves, including extreme events, erosion rates, morphological changes, flooding, and vulnerability of infrastructures but sometimes without including changes in sea level (see e.g. Ruju et al, 2012;Vera Guimarães et al, 2015;Medellin et al, 2016). Here we combine both, regional sea level and wave projections in the Western Mediterranean under two different climate scenarios for 2100, in line with works as Villatoro et al (2014).…”
mentioning
confidence: 74%
“…Given the wide (245 km) continental shelf and its mild slope (1/1000) [41], on the one hand, the wind-wave energy is dissipated far offshore [42], while on the other hand, the area is highly prone to being flooded by hurricane storm surges [1]. A detailed description of the characteristics of the study zone can be found in [3,43]. The study zone is boarded by city blocks, which are the smallest part of a town enclosed by streets (Figure 1, panel c).…”
Section: Study Areamentioning
confidence: 99%