A model chain approach for coastal inundation: Application to the bay of Alghero

Postacchini, Matteo; Lalli, F.; Memmola, Francesco; Bruschi, Antonello; Bellafiore, Debora; Lisi, Iolanda; Zitti, Gianluca; Brocchini, Maurizio

doi:10.1016/j.ecss.2019.01.013

Cited by 21 publications

(21 citation statements)

References 48 publications

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“…In the decision-making process for response to flooding-induced disasters, it is important that information about the occurrence of disaster is accurate. Over the last decade, considerable researches have been focused for the accurate prediction of surge, wave and coastal inundation, it is possible to resolve the coastal geometry more precisely through unstructured grid model: advanced circulation model (ADCIRC), and finite-volume community ocean model (FVCOM) [2,[22][23][24][25][26][27][28][29][30][31]. Also, in recent years, a fully coupled wave-current model with unstructured grid has been used to improve accuracy of surge prediction because the typhoon-induced surface wave plays important role in the surge and coastal inundation [1].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, high-performance computing (HPC) is necessary in the field for finding useful information from large, complex, and rapidly growing volumes of data and analysis. Although several researches with model lightening were presented, HPC was needed in this research because more detailed simulation and analysis are needed [22,23]. Therefore, we used the HPC system of the Korea Institute of Science and Technology Information (KISTI), which is funded by the Korean government for the HPC service in South Korea.…”

Section: Introductionmentioning

confidence: 99%

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The Downscaling Study for Typhoon-Induced Coastal Inundation

Jang

Joo

Jeong

et al. 2020

Water

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Typhoons can often cause inundation in lower coastal cities by inducing strong surges and waves. Being affected by typhoon annually, the coastal cities in South Korea are very vulnerable to typhoons. In 2016, a typhoon ‘CHABA’, with a maximum 10 min sustained wind speed of about 50 m/s and a minimum central pressure of 905 hPa, hit South Korea, suffering tremendous damage. In particular, ‘CHABA’-induced coastal inundation resulted in serious damage to the coastal area of Busan where a lot of high-rise buildings and residential areas are concentrated, and was caused by the combined effect of tide, surge, and wave. The typhoon-induced surge raised sea levels during high tide, and the strong wave with a long period of more than 10 s eventually led to the coastal inundation at the same time. The present research focuses a numerical downscaling considering the effects of tide, surge and wave for coastal inundation induced by Typhoon ‘CHABA’. This downscaling approach applied several numerical models, which are the Weather Research and Forecasting model (WRF) for typhoon simulation, the Finite Volume Community Ocean Model (FVCOM) for tide and surge simulation, and the Simulating WAve Nearshore (SWAN) for wave simulation. In a domain covering the Korean Peninsula, typhoon-induced surges and waves were simulated applying the results simulated by WRF as meteorological conditions. In the downscaled domain ranged near the coastal area of Busan, the coastal inundation was simulated blending a storm tide height and an irregular wave height obtained from the domain, in which each height has 1 s interval. The irregular wave height was calculated using the significant wave height and peak period. Through this downscaling study, the impact of storm tide and wave on coastal inundation was estimated.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Downscaling Study for Typhoon-Induced Coastal Inundation

Jang

Joo

Jeong

et al. 2020

Water

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“…The analyses proved that the AHP method is a useful tool for decision making when selecting an optimal design of coastal structures, such as breakwaters. Further research will focus on: more detailed numerical modelling of coastal processes [13], combining quantitative and qualitative criteria, more detailed selection and quantification of social and environmental criteria, and the inclusion of stakeholders in the process of decision making.…”

Section: Discussionmentioning

confidence: 99%

Selection of Appropriate Coastal Protection Structure Using AHP Method

Karleuša

Krvavica

Ružić

2020

The 4th EWaS International Conference: Valuing the Water, Carbon, Ecological Footprints of Human Activities

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The selection of an appropriate coastal protection structure using multi-criteria analysis method AHP (analytic hierarchy process) was presented by a case study of a beach reconstruction in the Kostanj Bay (north-western part of Croatia). The newly designed beach (about 300 m long) will be formed on the western part of the bay by the additional filling of the natural rocky coastline with gravel and building reinforced concrete seawalls towards the sea. The beach will be protected by a submerged breakwater. Five different alternatives were analysed and defined by a different design of the protective breakwater. The first alternative, without the submerged breakwater, was considered as the baseline alternative. An additional four alternatives were examined based on four criteria and five sub-criteria, which considered the technical, economic, social and environmental impacts. The sensitivity of the ranking for the considered alternatives was analysed using five criteria importance scenarios.

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“…A computationally inexpensive method that can be used to select in an automated way the optimal threshold, without visually analysing the models one-by-one, is the automatic threshold selection method (ATSM), proposed by Thompson et al [33], and applied in several recent EVT works [34][35][36]. The basic idea of the ATSM is that, given an equally spaced candidate thresholds u 1 , …, u n , given one of these candidate thresholds u k , fitted the GP parameters σ and ξ for each candidate threshold u j higher than u k , and defined…”

Section: Pot Approach and Gp Distributionmentioning

confidence: 99%