Generating inundation maps for a coastal lagoon: A case study in the Ria de Aveiro (Portugal)

Fortunato, A. B.; Rodrigues, Marta; Dias, João Miguel; Lopes, Carina L.; Oliveira, Anabela

doi:10.1016/j.oceaneng.2013.02.020

Cited by 43 publications

(41 citation statements)

References 31 publications

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“…Extreme cases, such as the super Typhoon Haiyan (2013) in the Philippines, the Xynthia storm (2010) in France, and hurricanes Katrina (2005) and Sandy (2012) in the United States, were dramatic indicators that better preparation and mitigation measures are needed to handle coastal flooding. Rising sea levels and growing storminess in coastal regions increase the probability of catastrophic inundations [4]. Accurate predictions using numerical models of the interaction between storm surges and river flows in coastal river systems have been shown to aid in disaster planning and mitigation and in coastal management.…”

Section: Introductionmentioning

confidence: 99%

Modeling Flood Inundation Induced by River Flow and Storm Surges over a River Basin

Chen

Liu

2014

Water

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Low-lying coastal regions and their populations are at risk during storm surge events and high freshwater discharges from upriver. An integrated storm surge and flood inundation modeling system was used to simulate storm surge and inundation in the Tsengwen River basin and the adjacent coastal area in southern Taiwan. A three-dimensional hydrodynamic model with an unstructured grid was used, which was driven by the tidal elevation at the open boundaries and freshwater discharge at the upriver boundary. The model was validated against the observed water levels for three typhoon events. The simulation results for the model were in reasonable agreement with the observational data. The model was then applied to investigate the effects of a storm surge, freshwater discharge, and a storm surge combined with freshwater discharge during an extreme typhoon event. The super Typhoon Haiyan (2013) was artificially shifted to hit Taiwan: the modeling results showed that the inundation area and depth would cause severe overbank flow and coastal flooding for a 200 year return period flow. A high-resolution grid model is essential for the accurate simulation of storm surges and inundation. OPEN ACCESSWater 2014, 6 3183

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Section: Introductionmentioning

confidence: 99%

Modeling Flood Inundation Induced by River Flow and Storm Surges over a River Basin

Chen

Liu

2014

Water

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“…SCHISM is an upgraded and evolved version of the original Semi-implicit Eulerian-Lagrangian Finite-Element/volume (SELFE [31]) model that includes many enhancements and improvements such as a new extension to simulate large-scale eddying regimes and a seamless cross-scale capability ranging from creeks to oceans [32]. SCHISM and SELFE have been widely used to simulate the propagation of tsunami waves [33], to predict water quality and ecosystem dynamics [34][35][36], analyze oil spill diffusion and transport [37], generate flooding maps [38,39], evaluate the extent of inundation induced by extreme river flows, typhoons or hurricanes [40,41] and to estimate tidal-current power [42]. In Taiwanese waters, the surface circulation feature is highly similar to that on the bottom during the spring [43], and weak winter stratification is caused by vertical mixing [44]; therefore, a two-dimensional SCHISM model (SCHISM-2D) vertically integrated with the barotropic mode was employed in this study.…”

Section: Ocean Circulation Modelmentioning

confidence: 99%

Identifying the Optimal Offshore Areas for Wave Energy Converter Deployments in Taiwanese Waters Based on 12-Year Model Hindcasts

et al. 2018

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Abstract:A 12-year sea-state hindcast for Taiwanese waters, covering the period from 2005 to 2016, was conducted using a fully coupled tide-surge-wave model. The hindcasts of significant wave height and peak period were employed to estimate the wave power resources in the waters surrounding Taiwan. Numerical simulations based on unstructured grids were converted to structured grids with a resolution of 25 × 25 km. The spatial distribution maps of offshore annual mean wave power were created for each year and for the 12-year period. Waters with higher wave power density were observed off the northern, northeastern, southeastern (south of Green Island and southeast of Lanyu) and southern coasts of Taiwan. Five energetic sea areas with spatial average annual total wave energy density of 60-90 MWh/m were selected for further analysis. The 25 × 25 km square grids were then downscaled to resolutions of 5 × 5 km, and five 5 × 5 km optimal areas were identified for wave energy converter deployments. The spatial average annual total wave energy yields at the five optimal areas (S1)-(S5) were estimated to be 64.3, 84.1, 84.5, 111.0 and 99.3 MWh/m, respectively. The prevailing wave directions for these five areas lie between east and northeast.

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“…Water 2017, 9, 549 4 of 24 the simulation of tsunami propagation [27], water quality and ecosystem dynamics [28,29], oil spill dynamics [30], generating inundation maps [31,32] and modeling inundation induced by extreme river flows, typhoons and hurricanes [33,34]. The SELFE model used in the present study is a two-dimensional vertically integrated version with a barotropic mode (SELFE-2DH).…”

Section: The Hydrodynamic Modelmentioning

confidence: 99%

Simulation of Typhoon-Induced Storm Tides and Wind Waves for the Northeastern Coast of Taiwan Using a Tide–Surge–Wave Coupled Model

Chen

Lin

Jang

et al. 2017

Water

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Abstract:The storm tide is a combination of the astronomical tide and storm surge, which is the actual sea water level leading to flooding in low-lying coastal areas. A full coupled modeling system (Semi-implicit Eulerian-Lagrangian Finite-Element model coupled with Wind Wave Model II, SELFE-WWM-II) for simulating the interaction of tide, surge and waves based on an unstructured grid is applied to simulate the storm tide and wind waves for the northeastern coast of Taiwan. The coupled model was driven by the astronomical tide and consisted of main eight tidal constituents and the meteorological forcings (air pressure and wind stress) of typhoons. SELFE computes the depth-averaged current and water surface elevation passed to WWM-II, while WWM-II passes the radiation stress to SELFE by solving the wave action equation. Hindcasts of wind waves and storm tides for five typhoon events were developed to validate the coupled model. The detailed comparisons generally show good agreement between the simulations and measurements. The contributions of surge induced by wave and meteorological forcings to the storm tide were investigated for Typhoon Soudelor (2015) at three tide gauge stations. The results reveal that the surge contributed by wave radiation stress was 0.55 m at Suao Port due to the giant offshore wind wave (exceeding 16.0 m) caused by Typhoon Soudelor (2015) and the steep sea-bottom slope. The air pressure resulted in a 0.6 m surge at Hualien Port because of an inverted barometer effect. The wind stress effect was only slightly significant at Keelung Port, contributing 0.22 m to the storm tide. We conclude that wind waves should not be neglected when modeling typhoon-induced storm tides, especially in regions with steep sea-bottom slopes. In addition, accurate tidal and meteorological forces are also required for storm tide modeling.

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Generating inundation maps for a coastal lagoon: A case study in the Ria de Aveiro (Portugal)

Cited by 43 publications

References 31 publications

Modeling Flood Inundation Induced by River Flow and Storm Surges over a River Basin

Modeling Flood Inundation Induced by River Flow and Storm Surges over a River Basin

Identifying the Optimal Offshore Areas for Wave Energy Converter Deployments in Taiwanese Waters Based on 12-Year Model Hindcasts

Simulation of Typhoon-Induced Storm Tides and Wind Waves for the Northeastern Coast of Taiwan Using a Tide–Surge–Wave Coupled Model

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