Articles | Volume 18, issue 5
https://doi.org/10.5194/nhess-18-1469-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-1469-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 May 2018
Research article |
| 29 May 2018
| 29 May 2018
Tsunami run-up estimation based on a hybrid numerical flume and a parameterization of real topobathymetric profiles
Environmental Hydraulics Institute, Universidad de Cantabria – Avda.
Isabel Torres, 15, Parque Científico y Tecnológico de Cantabria,
39011, Santander, Spain
Omar Quetzalcóatl
Environmental Hydraulics Institute, Universidad de Cantabria – Avda.
Isabel Torres, 15, Parque Científico y Tecnológico de Cantabria,
39011, Santander, Spain
Mauricio González
Environmental Hydraulics Institute, Universidad de Cantabria – Avda.
Isabel Torres, 15, Parque Científico y Tecnológico de Cantabria,
39011, Santander, Spain
Louise Guillou
Environmental Hydraulics Institute, Universidad de Cantabria – Avda.
Isabel Torres, 15, Parque Científico y Tecnológico de Cantabria,
39011, Santander, Spain
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Revised manuscript under review for NHESS
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Olivier Cavalié, Frédéric Cappa, and Béatrice Pinel-Puysségur
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Wagner L. L. Costa, Karin R. Bryan, and Giovanni Coco
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For predicting flooding events at the coast, topo-bathymetric data are essential. However, elevation data can be unavailable. To tackle this issue, recent efforts have centred on the use of satellite-derived topography (SDT) and bathymetry (SDB). This work is aimed at evaluating their accuracy and use for flooding prediction in enclosed estuaries. Results show that the use of SDT and SDB in numerical modelling can produce similar predictions when compared to the surveyed elevation data.
Joshua Kiesel, Marvin Lorenz, Marcel König, Ulf Gräwe, and Athanasios T. Vafeidis
Nat. Hazards Earth Syst. Sci., 23, 2961–2985, https://doi.org/10.5194/nhess-23-2961-2023, https://doi.org/10.5194/nhess-23-2961-2023, 2023
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Among the Baltic Sea littoral states, Germany is anticipated to experience considerable damage as a result of increased coastal flooding due to sea-level rise (SLR). Here we apply a new modelling framework to simulate how flooding along the German Baltic Sea coast may change until 2100 if dikes are not upgraded. We find that the study region is highly exposed to flooding, and we emphasise the importance of current plans to update coastal protection in the future.
Marc Igigabel, Marissa Yates, Michalis Vousdoukas, and Youssef Diab
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-154, https://doi.org/10.5194/nhess-2023-154, 2023
Revised manuscript accepted for NHESS
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Changes in sea-levels alone do not determine the evolution of coastal hazards. Coastal hazard changes should be assessed using additional factors describing geomorphological configurations, meteocean events types (storms, cyclones, long swells and tsunamis) and the marine environment (e. g., coral reef state and sea ice extent). The assessment completed here, at regional scale including the coasts of mainland and overseas France, highlights significant differences in hazard changes.
Zhang Haixia, Cheng Meng, and Fang Weihua
Nat. Hazards Earth Syst. Sci., 23, 2697–2717, https://doi.org/10.5194/nhess-23-2697-2023, https://doi.org/10.5194/nhess-23-2697-2023, 2023
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Simultaneous storm surge and waves can cause great damage due to cascading effects. Quantitative joint probability analysis is critical to determine their optimal protection design values. The joint probability of the surge and wave for the eastern coasts of Leizhou Peninsula and Hainan are estimated with a Gumbel copula based on 62 years of numerically simulated data, and the optimal design values under various joint return periods are derived using the non-linear programming method.
Clare Lewis, Tim Smyth, David Williams, Jess Neumann, and Hannah Cloke
Nat. Hazards Earth Syst. Sci., 23, 2531–2546, https://doi.org/10.5194/nhess-23-2531-2023, https://doi.org/10.5194/nhess-23-2531-2023, 2023
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Melissa Wood, Ivan D. Haigh, Quan Quan Le, Hung Nghia Nguyen, Hoang Ba Tran, Stephen E. Darby, Robert Marsh, Nikolaos Skliris, Joël J.-M. Hirschi, Robert J. Nicholls, and Nadia Bloemendaal
Nat. Hazards Earth Syst. Sci., 23, 2475–2504, https://doi.org/10.5194/nhess-23-2475-2023, https://doi.org/10.5194/nhess-23-2475-2023, 2023
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We used a novel database of simulated tropical cyclone tracks to explore whether typhoon-induced storm surges present a future flood risk to low-lying coastal communities around the South China Sea. We found that future climate change is likely to change tropical cyclone behaviour to an extent that this increases the severity and frequency of storm surges to Vietnam, southern China, and Thailand. Consequently, coastal flood defences need to be reviewed for resilience against this future hazard.
Sang-Guk Yum, Moon-Soo Song, and Manik Das Adhikari
Nat. Hazards Earth Syst. Sci., 23, 2449–2474, https://doi.org/10.5194/nhess-23-2449-2023, https://doi.org/10.5194/nhess-23-2449-2023, 2023
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This study performed analysis on typhoon-induced coastal morphodynamics for the Mokpo coast. Wetland vegetation was severely impacted by Typhoon Soulik, with 87.35 % of shoreline transects experiencing seaward migration. This result highlights the fact that sediment resuspension controls the land alteration process over the typhoon period. The land accretion process dominated during the pre- to post-typhoon periods.
Olle Räty, Marko Laine, Ulpu Leijala, Jani Särkkä, and Milla M. Johansson
Nat. Hazards Earth Syst. Sci., 23, 2403–2418, https://doi.org/10.5194/nhess-23-2403-2023, https://doi.org/10.5194/nhess-23-2403-2023, 2023
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We studied annual maximum sea levels in the Finnish coastal region. Our aim was to better quantify the uncertainty in them compared to previous studies. Using four statistical models, we found out that hierarchical models, which shared information on sea-level extremes across Finnish tide gauges, had lower uncertainty in their results in comparison with tide-gauge-specific fits. These models also suggested that the shape of the distribution for extreme sea levels is similar on the Finnish coast.
Jani Särkkä, Jani Räihä, Mika Rantanen, and Matti Kämäräinen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-102, https://doi.org/10.5194/nhess-2023-102, 2023
Revised manuscript accepted for NHESS
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We study the relationship between tracks of low-pressure systems and related sea level extremes. We perform the studies by introducing a method to simulate sea levels using synthetic low-pressure systems. We test the method using sites located along the Baltic Sea coast. We find high extremes, where the sea level extreme reach up to 3.5 meters. In addition that, we add the maximal value of the mean level of the Baltic Sea (1 m) leading to sea level of 4.5 meters.
Alexey Androsov, Sven Harig, Natalia Zamora, Kim Knauer, and Natalja Rakowsky
EGUsphere, https://doi.org/10.5194/egusphere-2023-1365, https://doi.org/10.5194/egusphere-2023-1365, 2023
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Two numerical codes are used in a comparative analysis of the calculation of the tsunami wave due to an earthquake along the Peruvian coast. The comparison primarily evaluates the flow velocity fields in flooded areas. The relative importance of the various parts of the equations is determined, focusing on the nonlinear terms. The influence of the nonlinearity on the degree and volume of flooding, flow velocity and small-scale fluctuations is determined.
Christian Ferrarin, Florian Pantillon, Silvio Davolio, Marco Bajo, Mario Marcello Miglietta, Elenio Avolio, Diego S. Carrió, Ioannis Pytharoulis, Claudio Sanchez, Platon Patlakas, Juan Jesús González-Alemán, and Emmanouil Flaounas
Nat. Hazards Earth Syst. Sci., 23, 2273–2287, https://doi.org/10.5194/nhess-23-2273-2023, https://doi.org/10.5194/nhess-23-2273-2023, 2023
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The combined use of meteorological and ocean models enabled the analysis of extreme sea conditions driven by Medicane Ianos, which hit the western coast of Greece on 18 September 2020, flooding and damaging the coast. The large spread associated with the ensemble highlighted the high model uncertainty in simulating such an extreme weather event. The different simulations have been used for outlining hazard scenarios that represent a fundamental component of the coastal risk assessment.
Charline Dalinghaus, Giovanni Coco, and Pablo Higuera
Nat. Hazards Earth Syst. Sci., 23, 2157–2169, https://doi.org/10.5194/nhess-23-2157-2023, https://doi.org/10.5194/nhess-23-2157-2023, 2023
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Wave setup is a critical component of coastal flooding. Consequently, understanding and being able to predict wave setup is vital to protect coastal resources and the population living near the shore. Here, we applied machine learning to improve the accuracy of present predictors of wave setup. The results show that the new predictors outperform existing formulas demonstrating the capability of machine learning models to provide a physically sound description of wave setup.
Ina Teutsch, Markus Brühl, Ralf Weisse, and Sander Wahls
Nat. Hazards Earth Syst. Sci., 23, 2053–2073, https://doi.org/10.5194/nhess-23-2053-2023, https://doi.org/10.5194/nhess-23-2053-2023, 2023
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Rogue waves exceed twice the significant wave height. They occur more often than expected in the shallow waters off Norderney. When applying a nonlinear Fourier transform for the Korteweg–de Vries equation to wave data from Norderney, we found differences in the soliton spectra of time series with and without rogue waves. A strongly outstanding soliton in the spectrum indicated an enhanced probability for rogue waves. We could attribute spectral solitons to the measured rogue waves.
Philipp Heinrich, Stefan Hagemann, Ralf Weisse, Corinna Schrum, Ute Daewel, and Lidia Gaslikova
Nat. Hazards Earth Syst. Sci., 23, 1967–1985, https://doi.org/10.5194/nhess-23-1967-2023, https://doi.org/10.5194/nhess-23-1967-2023, 2023
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High seawater levels co-occurring with high river discharges have the potential to cause destructive flooding. For the past decades, the number of such compound events was larger than expected by pure chance for most of the west-facing coasts in Europe. Additionally rivers with smaller catchments showed higher numbers. In most cases, such events were associated with a large-scale weather pattern characterized by westerly winds and strong rainfall.
Alexander Böhme, Birgit Gerkensmeier, Benedikt Bratz, Clemens Krautwald, Olaf Müller, Nils Goseberg, and Gabriele Gönnert
Nat. Hazards Earth Syst. Sci., 23, 1947–1966, https://doi.org/10.5194/nhess-23-1947-2023, https://doi.org/10.5194/nhess-23-1947-2023, 2023
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External surges in the North Sea are caused by low-pressure cells travelling over the northeast Atlantic. They influence extreme water levels on the German coast and have to be considered in the design process of coastal defence structures. This study collects data about external surges from 1995–2020 and analyses their causes, behaviours and potential trends. External surges often occur less than 72 h apart, enabling a single storm surge to be influenced by more than one external surge.
Kenta Tozato, Shuji Moriguchi, Shinsuke Takase, Yu Otake, Michael R. Motley, Anawat Suppasri, and Kenjiro Terada
Nat. Hazards Earth Syst. Sci., 23, 1891–1909, https://doi.org/10.5194/nhess-23-1891-2023, https://doi.org/10.5194/nhess-23-1891-2023, 2023
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This study presents a framework that efficiently investigates the optimal placement of facilities probabilistically based on advanced numerical simulation. Surrogate models for the numerical simulation are constructed using a mode decomposition technique. Monte Carlo simulations using the surrogate models are performed to evaluate failure probabilities. Using the results of the Monte Carlo simulations and the genetic algorithm, optimal placements can be investigated probabilistically.
Job C. M. Dullaart, Sanne Muis, Hans de Moel, Philip J. Ward, Dirk Eilander, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 23, 1847–1862, https://doi.org/10.5194/nhess-23-1847-2023, https://doi.org/10.5194/nhess-23-1847-2023, 2023
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Coastal flooding is driven by storm surges and high tides and can be devastating. To gain an understanding of the threat posed by coastal flooding and to identify areas that are especially at risk, now and in the future, it is crucial to accurately model coastal inundation and assess the coastal flood hazard. Here, we present a global dataset with hydrographs that represent the typical evolution of an extreme sea level. These can be used to model coastal inundation more accurately.
Elin Andrée, Jian Su, Morten Andreas Dahl Larsen, Martin Drews, Martin Stendel, and Kristine Skovgaard Madsen
Nat. Hazards Earth Syst. Sci., 23, 1817–1834, https://doi.org/10.5194/nhess-23-1817-2023, https://doi.org/10.5194/nhess-23-1817-2023, 2023
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When natural processes interact, they may compound each other. The combined effect can amplify extreme sea levels, such as when a storm occurs at a time when the water level is already higher than usual. We used numerical modelling of a record-breaking storm surge in 1872 to show that other prior sea-level conditions could have further worsened the outcome. Our research highlights the need to consider the physical context of extreme sea levels in measures to reduce coastal flood risk.
Ekaterina Didenkulova, Ira Didenkulova, and Igor Medvedev
Nat. Hazards Earth Syst. Sci., 23, 1653–1663, https://doi.org/10.5194/nhess-23-1653-2023, https://doi.org/10.5194/nhess-23-1653-2023, 2023
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The paper is dedicated to freak wave accidents which happened in the world ocean in 2005–2021 and that were described in mass media sources. The database accounts for 429 events, all of which resulted in ship or coastal and offshore structure damage and/or human losses. In agreement with each freak wave event, we put background wave and wind conditions extracted from the climate reanalysis ERA5. We analyse their statistics and discuss the favourable conditions for freak wave occurrence.
Havu Pellikka, Milla M. Johansson, Maaria Nordman, and Kimmo Ruosteenoja
Nat. Hazards Earth Syst. Sci., 23, 1613–1630, https://doi.org/10.5194/nhess-23-1613-2023, https://doi.org/10.5194/nhess-23-1613-2023, 2023
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We explore the rate of past and future sea level rise at the Finnish coast, northeastern Baltic Sea, in 1901–2100. For this analysis, we use tide gauge observations, modelling results, and a probabilistic method to combine information from several sea level rise projections. We provide projections of local mean sea level by 2100 as probability distributions. The results can be used in adaptation planning in various sectors with different risk tolerance, e.g. land use planning or nuclear safety.
Carlos Corela, Afonso Loureiro, José Luis Duarte, Luis Matias, Tiago Rebelo, and Tiago Bartolomeu
Nat. Hazards Earth Syst. Sci., 23, 1433–1451, https://doi.org/10.5194/nhess-23-1433-2023, https://doi.org/10.5194/nhess-23-1433-2023, 2023
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We show that ocean-bottom seismometers are controlled by bottom currents, but these are not always a function of the tidal forcing. Instead we suggest that the ocean bottom has a flow regime resulting from two possible contributions: the permanent low-frequency bottom current and the tidal current along the full tidal cycle, between neap and spring tides. In the short-period noise band the ocean current generates harmonic tremors that corrupt the dataset records.
Chen Chen, Charles Koll, Haizhong Wang, and Michael K. Lindell
Nat. Hazards Earth Syst. Sci., 23, 733–749, https://doi.org/10.5194/nhess-23-733-2023, https://doi.org/10.5194/nhess-23-733-2023, 2023
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This paper uses empirical-data-based simulation to analyze how to evacuate efficiently from disasters. We find that departure delay time and evacuation decision have significant impacts on evacuation results. Evacuation results are more sensitive to walking speed, departure delay time, evacuation participation, and destinations than to other variables. This model can help authorities to prioritize resources for hazard education, community disaster preparedness, and resilience plans.
Ariadna Martín, Angel Amores, Alejandro Orfila, Tim Toomey, and Marta Marcos
Nat. Hazards Earth Syst. Sci., 23, 587–600, https://doi.org/10.5194/nhess-23-587-2023, https://doi.org/10.5194/nhess-23-587-2023, 2023
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Tropical cyclones (TCs) are among the potentially most hazardous phenomena affecting the coasts of the Caribbean Sea. This work simulates the coastal hazards in terms of sea surface elevation and waves that originate through the passage of these events. A set of 1000 TCs have been simulated, obtained from a set of synthetic cyclones that are consistent with present-day climate. Given the large number of hurricanes used, robust values of extreme sea levels and waves are computed along the coasts.
An-Chi Cheng, Anawat Suppasri, Kwanchai Pakoksung, and Fumihiko Imamura
Nat. Hazards Earth Syst. Sci., 23, 447–479, https://doi.org/10.5194/nhess-23-447-2023, https://doi.org/10.5194/nhess-23-447-2023, 2023
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Consecutive earthquakes occurred offshore of southern Taiwan on 26 December 2006. This event revealed unusual tsunami generation and propagation, as well as unexpected consequences for the southern Taiwanese coast (i.e., amplified waves and prolonged durations). This study aims to elucidate the source characteristics of the 2006 tsunami and the important behaviors responsible for tsunami hazards in Taiwan such as wave trapping and shelf resonance.
Jean Roger, Bernard Pelletier, Aditya Gusman, William Power, Xiaoming Wang, David Burbidge, and Maxime Duphil
Nat. Hazards Earth Syst. Sci., 23, 393–414, https://doi.org/10.5194/nhess-23-393-2023, https://doi.org/10.5194/nhess-23-393-2023, 2023
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On 10 February 2021 a magnitude 7.7 earthquake occurring at the southernmost part of the Vanuatu subduction zone triggered a regional tsunami that was recorded on many coastal gauges and DART stations of the south-west Pacific region. Beginning with a review of the tectonic setup and its implication in terms of tsunami generation in the region, this study aims to show our ability to reproduce a small tsunami with different types of rupture models and to discuss a larger magnitude 8.2 scenario.
Kathrin Wahle, Emil V. Stanev, and Joanna Staneva
Nat. Hazards Earth Syst. Sci., 23, 415–428, https://doi.org/10.5194/nhess-23-415-2023, https://doi.org/10.5194/nhess-23-415-2023, 2023
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Knowledge of what causes maximum water levels is often key in coastal management. Processes, such as storm surge and atmospheric forcing, alter the predicted tide. Whilst most of these processes are modeled in present-day ocean forecasting, there is still a need for a better understanding of situations where modeled and observed water levels deviate from each other. Here, we will use machine learning to detect such anomalies within a network of sea-level observations in the North Sea.
Chuan Li, H. Tuba Özkan-Haller, Gabriel García Medina, Robert A. Holman, Peter Ruggiero, Treena M. Jensen, David B. Elson, and William R. Schneider
Nat. Hazards Earth Syst. Sci., 23, 107–126, https://doi.org/10.5194/nhess-23-107-2023, https://doi.org/10.5194/nhess-23-107-2023, 2023
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In this work, we examine a set of observed extreme, non-earthquake-related and non-landslide-related wave runup events. Runup events with similar characteristics have previously been attributed to trapped waves, atmospheric disturbances, and abrupt breaking of long waves. However, we find that none of these mechanisms were likely at work in the observations we examined. We show that instead, these runup events were more likely due to energetic growth of bound infragravity waves.
Eric Mortensen, Timothy Tiggeloven, Toon Haer, Bas van Bemmel, Dewi Le Bars, Sanne Muis, Dirk Eilander, Frederiek Sperna Weiland, Arno Bouwman, Willem Ligtvoet, and Philip J. Ward
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-284, https://doi.org/10.5194/nhess-2022-284, 2023
Revised manuscript accepted for NHESS
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Current levels of coastal flood risk are projected to increase in coming decades due to various reasons, e.g., sea-level rise, land subsidence, and coastal urbanisation; action is needed to minimize this future risk. We evaluate dykes and coastal levees, foreshore vegetation, zoning restrictions, and dry-proofing on the global scale to estimate what level of risk reductions are possible. We demonstrate that there are several potential adaptation pathways forward for certain areas of the world.
Shan Liu, Xianwu Shi, Qiang Liu, Jun Tan, Yuxi Sun, Qingrong Liu, and Haoshuang Guo
Nat. Hazards Earth Syst. Sci., 23, 127–138, https://doi.org/10.5194/nhess-23-127-2023, https://doi.org/10.5194/nhess-23-127-2023, 2023
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This study proposes a quantitative method for the determination of warning water levels. The proposed method is a multidimensional scale, centered on the consideration of various factors that characterize various coastlines. The implications of our study are not only scientific, as we provide a method for water level determination that is rooted in the scientific method (and reproducible across various contexts beyond China), but they are also deeply practical.
Jaap H. Nienhuis, Jana R. Cox, Joey O'Dell, Douglas A. Edmonds, and Paolo Scussolini
Nat. Hazards Earth Syst. Sci., 22, 4087–4101, https://doi.org/10.5194/nhess-22-4087-2022, https://doi.org/10.5194/nhess-22-4087-2022, 2022
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Humans build levees to protect themselves against floods. We need to know where they are to correctly predict flooding, for example from sea level rise. Here we have looked through documents to find levees, and checked that they exist using satellite imagery. We developed a global levee map, available at www.opendelve.eu, and we found that 24 % of people in deltas are protected by levees.
Alec Torres-Freyermuth, Gabriela Medellín, Jorge A. Kurczyn, Roger Pacheco-Castro, Jaime Arriaga, Christian M. Appendini, María Eugenia Allende-Arandía, Juan A. Gómez, Gemma L. Franklin, and Jorge Zavala-Hidalgo
Nat. Hazards Earth Syst. Sci., 22, 4063–4085, https://doi.org/10.5194/nhess-22-4063-2022, https://doi.org/10.5194/nhess-22-4063-2022, 2022
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Barrier islands in tropical regions are prone to coastal flooding and erosion during hurricane events. The Yucatán coast was impacted by hurricanes Gamma and Delta. Inner shelf, coastal, and inland observations were acquired. Beach morphology changes show alongshore gradients. Flooding occurred on the back barrier due to heavy inland rain and the coastal aquifer's confinement. Modeling systems failed to reproduce the coastal hydrodynamic response due to uncertainties in the boundary conditions.
Panagiotis Athanasiou, Ap van Dongeren, Alessio Giardino, Michalis Vousdoukas, Jose A. A. Antolinez, and Roshanka Ranasinghe
Nat. Hazards Earth Syst. Sci., 22, 3897–3915, https://doi.org/10.5194/nhess-22-3897-2022, https://doi.org/10.5194/nhess-22-3897-2022, 2022
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Sandy dunes protect the hinterland from coastal flooding during storms. Thus, models that can efficiently predict dune erosion are critical for coastal zone management and early warning systems. Here we develop such a model for the Dutch coast based on machine learning techniques, allowing for dune erosion estimations in a matter of seconds relative to available computationally expensive models. Validation of the model against benchmark data and observations shows good agreement.
María Teresa Pedrosa-González, José Manuel González-Vida, Jesús Galindo-Záldivar, Sergio Ortega, Manuel Jesús Castro, David Casas, and Gemma Ercilla
Nat. Hazards Earth Syst. Sci., 22, 3839–3858, https://doi.org/10.5194/nhess-22-3839-2022, https://doi.org/10.5194/nhess-22-3839-2022, 2022
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The L-ML-HySEA (Landslide Multilayer Hyperbolic Systems and Efficient Algorithms) model of the tsunami triggered by the Storfjorden LS-1 landslide provides new insights into the sliding mechanism and bathymetry controlling the propagation, amplitude values and shoaling effects as well as coastal impact times. This case study provides new perspectives on tsunami hazard assessment in polar margins, where global climatic change and its related ocean warming may contribute to landslide trigger.
Cuneyt Yavuz, Kutay Yilmaz, and Gorkem Onder
Nat. Hazards Earth Syst. Sci., 22, 3725–3736, https://doi.org/10.5194/nhess-22-3725-2022, https://doi.org/10.5194/nhess-22-3725-2022, 2022
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Even if the coincidence of flood and tsunami hazards may be experienced once in a blue moon, it should also be investigated due to the uncertainty of the time of occurrence of these natural hazards. The objective of this study is to reveal a statistical methodology to evaluate the aggregate potential hazard levels due to flood hazards with the presence of earthquake-triggered tsunamis. The proposed methodology is applied to Fethiye city, located on the Western Mediterranean coast of Turkey.
Damiano Baldan, Elisa Coraci, Franco Crosato, Maurizio Ferla, Andrea Bonometto, and Sara Morucci
Nat. Hazards Earth Syst. Sci., 22, 3663–3677, https://doi.org/10.5194/nhess-22-3663-2022, https://doi.org/10.5194/nhess-22-3663-2022, 2022
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Extreme-event analysis is widely used to provide information for the design of coastal protection structures. Non-stationarity due to sea level rise can affect such estimates. Using different methods on a long time series of sea level data, we show that estimates of the magnitude of extreme events in the future can be inexact due to relative sea level rise. Thus, considering non-stationarity is important when analyzing extreme-sea-level events.
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Short summary
Recent tsunami events have exposed the need for further work to develop and apply tsunami risk reduction measures. A key parameter that must be adequately determined is the run-up, the maximum elevation to which water from a tsunami wave will rise during its flooding process. In this work, a new methodology to simply calculate the run-up is presented. The methodology has been applied to calculate a tsunami run-up database, where the run-up of new events can be calculated by interpolation.
Recent tsunami events have exposed the need for further work to develop and apply tsunami risk...
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