Assessment of static flood modeling techniques: application to contrasting marshes flooded during Xynthia (western France)

Breilh, J.-F; Chaumillon, Éric; Bertin, Xavier; Gravelle, Médéric

doi:10.5194/nhess-13-1595-2013

Cited by 85 publications

(94 citation statements)

References 51 publications

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“…Dynamic inundation simulations have been shown to be more reliable (Ramirez et al, 2016). However, Vousdoukas et al (2016) have shown that VI can be a good surrogate when computational efficiency is the priority, as also demonstrated by Breilh et al (2013). In flatter terrains, VI tends to be outperformed by hydraulic models, or other empirical approaches, such as the flood index method (Dottori et al, 2016a).…”

Section: Discussionmentioning

confidence: 99%

“…This approach is presented as "SO" in Breilh et al (2013) and assumes a design hydrograph driven by meteorological factors that is added to the high-tide water level to calculate the timedependent total water level. The design storm surge hydrograph requires information about the extreme event duration D CE .…”

Section: Coastal Inundationmentioning

confidence: 99%

“…Other studies discuss uncertainties related to the extreme value analysis (Wahl et al, 2017;Apel et al, 2008). Some coastal studies discuss the effect of DEM corrections for spatial variations in the mean sea level (Muis et al, 2017) and the inundation modelling approach (Vous- doukas et al, 2016;Breilh et al, 2013;Seenath et al, 2016). However, many of the above factors still remain not fully quantified, especially in a unified framework which would allow the assessment of their relative importance.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Understanding epistemic uncertainty in large-scale coastal flood risk assessment for present and future climates

Vousdoukas

Bouziotas

Giardino

et al. 2018

Nat. Hazards Earth Syst. Sci.

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Abstract. An upscaling of flood risk assessment frameworks beyond regional and national scales has taken place during recent years, with a number of large-scale models emerging as tools for hotspot identification, support for international policymaking, and harmonization of climate change adaptation strategies. There is, however, limited insight into the scaling effects and structural limitations of flood risk models and, therefore, the underlying uncertainty. In light of this, we examine key sources of epistemic uncertainty in the coastal flood risk (CFR) modelling chain: (i) the inclusion and interaction of different hydraulic components leading to extreme sea level (ESL), (ii) the underlying uncertainty in the digital elevation model (DEM), (iii) flood defence information, (iv) the assumptions behind the use of depth-damage functions that express vulnerability, and (v) different climate change projections. The impact of these uncertainties on estimated expected annual damage (EAD) for present and future climates is evaluated in a dual case study in Faro, Portugal, and on the Iberian Peninsula. The ranking of the uncertainty factors varies among the different case studies, baseline CFR estimates, and their absolute and relative changes. We find that uncertainty from ESL contributions, and in particular the way waves are treated, can be higher than the uncertainty of the two greenhouse gas emission projections and six climate models that are used. Of comparable importance is the quality of information on coastal protection levels and DEM information. In the absence of large datasets with sufficient resolution and accuracy, the latter two factors are the main bottlenecks in terms of large-scale CFR assessment quality.

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Section: Discussionmentioning

confidence: 99%

Section: Coastal Inundationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Understanding epistemic uncertainty in large-scale coastal flood risk assessment for present and future climates

Vousdoukas

Bouziotas

Giardino

et al. 2018

Nat. Hazards Earth Syst. Sci.

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“…However, given the high complexity of coastal flooding processes, several recent studies showed that the static approach results in substantial overestimation of the flood extent compared to dedicated hydraulic models, especially in flatter terrains (Breilh et al, 2013;Gallien, 2016;Ramirez et al, 2016;Seenath et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Developments in large-scale coastal flood hazard mapping

Vousdoukas

Voukouvalas

Mentaschi

et al. 2016

Nat. Hazards Earth Syst. Sci.

186

157

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Abstract. Coastal flooding related to marine extreme events has severe socioeconomic impacts, and even though the latter are projected to increase under the changing climate, there is a clear deficit of information and predictive capacity related to coastal flood mapping. The present contribution reports on efforts towards a new methodology for mapping coastal flood hazard at European scale, combining (i) the contribution of waves to the total water level; (ii) improved inundation modeling; and (iii) an open, physics-based framework which can be constantly upgraded, whenever new and more accurate data become available. Four inundation approaches of gradually increasing complexity and computational costs were evaluated in terms of their applicability to large-scale coastal flooding mapping: static inundation (SM); a semidynamic method, considering the water volume discharge over the dykes (VD); the flood intensity index approach (Iw); and the model LISFLOOD-FP (LFP). A validation test performed against observed flood extents during the Xynthia storm event showed that SM and VD can lead to an overestimation of flood extents by 232 and 209 %, while Iw and LFP showed satisfactory predictive skill. Application at panEuropean scale for the present-day 100-year event confirmed that static approaches can overestimate flood extents by 56 % compared to LFP; however, Iw can deliver results of reasonable accuracy in cases when reduced computational costs are a priority. Moreover, omitting the wave contribution in the extreme total water level (TWL) can result in a ∼ 60 % underestimation of the flooded area. The present findings have implications for impact assessment studies, since combination of the estimated inundation maps with population exposure maps revealed differences in the estimated number of people affected within the 20-70 % range.

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“…Sin embargo, a pesar de la amplia extensión que alcanzan estas formas en muchas áreas costeras, desde un punto de vista geomorfológico prácticamente no han recibido atención. Aparte de algunas aproximaciones multidisciplinares o locales (Pérez Hurtado, 2004), las investigaciones se han centrado hasta la fecha básicamente en los procesos actuales de inundación y sedimentación en marismas naturales (Pethick, 1992;Torres et al, 2006;Breilh et al, 2013), o el impacto antropogénico y la regeneración ambiental de marismas antropizadas (Irabien et al, 2008;García-Artola et al, 2011), desatendiendo cuestiones como la influencia de la dinámica natural en la elección de lugares para la instalación de salinas, las modificaciones que estas formas ejercen sobre los procesos naturales, o las consecuencias morfológicas y dinámicas de su abandono y degradación.…”

Section: Introductionunclassified

Evolución histórica y geomorfología de las explotaciones salineras en marismas mareales. Ejemplos de la bahía de Cádiz

Prieto

Villalobos

Abarca

2017

CyG

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Las marismas son espacios explotados por el ser humano a lo largo de siglos debido a la importancia de sus recursos y a la posibilidad de obtenerlos con cierta facilidad. Diferentes AbstractThis work displays a synthesis about the current knowledge about the origin and historical development of the salines on the Bay of Cádiz. Geoarchaeological data suggest that the first salines were probably built in the area during the Phoenician period, although their development seems to have been greater in the Roman epoch, favored by a sedimentation rate increase in the marshes of the zone. Nowadays very few records exist of the ancient salt works and salt harvesting, due to the continuous reutilisation of these structures over centuries. The present location of salines in the Bay of Cádiz is in part controlled by the distribution of the sedimentation rates registered in the salt marshes, which are conditioned by the geometry of the tidal channels. After the last phase of saline expansion during the 19 th century, the Bay of Cádiz salinas have suffered a progressive abandonment and degradation, due both to human actions (infilling for agricultural, transportation, industrial and urban uses) and to natural processes (aeolian sand sedimentation, erosion due to the acceleration of tidal fluxes, etc.). Nevertheless, despite their deterioration, today their preservation as anthropogenic landscapes of heritage interest for public could be insured due to their membership of the Bay of Cádiz Natural Park, and to be placed within the public maritime-terrestrial domain (Spanish Shore Act).

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Assessment of static flood modeling techniques: application to contrasting marshes flooded during Xynthia (western France)

Cited by 85 publications

References 51 publications

Understanding epistemic uncertainty in large-scale coastal flood risk assessment for present and future climates

Understanding epistemic uncertainty in large-scale coastal flood risk assessment for present and future climates

Developments in large-scale coastal flood hazard mapping

Evolución histórica y geomorfología de las explotaciones salineras en marismas mareales. Ejemplos de la bahía de Cádiz

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