Articles | Volume 21, issue 8
https://doi.org/10.5194/nhess-21-2611-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-21-2611-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Aug 2021
Research article |
| 26 Aug 2021
| 26 Aug 2021
Estimation of the non-exceedance probability of extreme storm surges in South Korea using tidal-gauge data
Sang-Guk Yum
Department of Civil Engineering, Gangneung-Wonju National University, Gangneung, Gangwon-do 25457, South Korea
Hsi-Hsien Wei
Department of Building and Real Estate, The Hong Kong Polytechnic
University, Kowloon, Hong Kong, PR China
Sung-Hwan Jang
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, Hanyang University ERICA, Ansan, Gyeonggi-do 15588, South Korea
Department of Smart City Engineering, Hanyang University ERICA,
Ansan, Gyeonggi-do 15588, South Korea
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Rashid Haider, Sajid Ali, Gösta Hoffmann, and Klaus Reicherter
Nat. Hazards Earth Syst. Sci., 24, 3279–3290, https://doi.org/10.5194/nhess-24-3279-2024, https://doi.org/10.5194/nhess-24-3279-2024, 2024
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Kévin Dubois, Morten Andreas Dahl Larsen, Martin Drews, Erik Nilsson, and Anna Rutgersson
Nat. Hazards Earth Syst. Sci., 24, 3245–3265, https://doi.org/10.5194/nhess-24-3245-2024, https://doi.org/10.5194/nhess-24-3245-2024, 2024
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Sergio Padilla, Íñigo Aniel-Quiroga, Rachid Omira, Mauricio González, Jihwan Kim, and Maria A. Baptista
Nat. Hazards Earth Syst. Sci., 24, 3095–3113, https://doi.org/10.5194/nhess-24-3095-2024, https://doi.org/10.5194/nhess-24-3095-2024, 2024
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Nikolaus Groll, Lidia Gaslikova, and Ralf Weisse
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In recent years, the western Baltic Sea has experienced severe storm surges. By analysing the individual contributions and the total water level, these events can be put into a climate perspective. It was found that individual contributions were not exceptional in all events and no clear trend can be identified, often the combination of the individual contributions leads to the extreme events of recent years. This points to the importance of analysing composite events.
Alice Abbate, José M. González Vida, Manuel J. Castro Díaz, Fabrizio Romano, Hafize Başak Bayraktar, Andrey Babeyko, and Stefano Lorito
Nat. Hazards Earth Syst. Sci., 24, 2773–2791, https://doi.org/10.5194/nhess-24-2773-2024, https://doi.org/10.5194/nhess-24-2773-2024, 2024
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Modelling tsunami generation due to a rapid submarine earthquake is a complex problem. Under a variety of realistic conditions in a subduction zone, we propose and test an efficient solution to this problem: a tool that can compute the generation of any potential tsunami in any ocean in the world. In the future, we will explore solutions that would also allow us to model tsunami generation by slower (time-dependent) seafloor displacement.
Mithun Deb, James J. Benedict, Ning Sun, Zhaoqing Yang, Robert D. Hetland, David Judi, and Taiping Wang
Nat. Hazards Earth Syst. Sci., 24, 2461–2479, https://doi.org/10.5194/nhess-24-2461-2024, https://doi.org/10.5194/nhess-24-2461-2024, 2024
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We coupled earth system, hydrology, and hydrodynamic models to generate plausible and physically consistent ensembles of hurricane events and their associated water levels from the open coast to tidal rivers of Delaware Bay and River. Our results show that the hurricane landfall locations and the estuarine wind can significantly amplify the extreme surge in a shallow and converging system, especially when the wind direction aligns with the surge propagation direction.
Ming-Huei Chang, Yen-Chen Huang, Yu-Hsin Cheng, Chuen-Teyr Terng, Jinyi Chen, and Jyh Cherng Jan
Nat. Hazards Earth Syst. Sci., 24, 2481–2494, https://doi.org/10.5194/nhess-24-2481-2024, https://doi.org/10.5194/nhess-24-2481-2024, 2024
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Monitoring the long-term trends in sea surface warming is crucial for informed decision-making and adaptation. This study offers a comprehensive examination of prevalent trend extraction methods. We identify the least-squares regression as suitable for general tasks yet highlight the need to address seasonal signal-induced bias, i.e., the phase–distance imbalance. Our developed method, evaluated using simulated and real data, is unbiased and better than the conventional SST anomaly method.
Thomas P. Collings, Niall D. Quinn, Ivan D. Haigh, Joshua Green, Izzy Probyn, Hamish Wilkinson, Sanne Muis, William V. Sweet, and Paul D. Bates
Nat. Hazards Earth Syst. Sci., 24, 2403–2423, https://doi.org/10.5194/nhess-24-2403-2024, https://doi.org/10.5194/nhess-24-2403-2024, 2024
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Coastal areas are at risk of flooding from rising sea levels and extreme weather events. This study applies a new approach to estimating the likelihood of coastal flooding around the world. The method uses data from observations and computer models to create a detailed map of where these coastal floods might occur. The approach can predict flooding in areas for which there are few or no data available. The results can be used to help prepare for and prevent this type of flooding.
Guangsheng Zhao and Xiaojing Niu
Nat. Hazards Earth Syst. Sci., 24, 2303–2313, https://doi.org/10.5194/nhess-24-2303-2024, https://doi.org/10.5194/nhess-24-2303-2024, 2024
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The purpose of this study is to estimate the spatial distribution of the tsunami hazard in the South China Sea from the Manila subduction zone. The plate motion data are used to invert the degree of locking on the fault plane. The degree of locking is used to estimate the maximum possible magnitude of earthquakes and describe the slip distribution. A spatial distribution map of the 1000-year return period tsunami wave height in the South China Sea was obtained by tsunami hazard assessment.
Mandana Ghanavati, Ian R. Young, Ebru Kirezci, and Jin Liu
Nat. Hazards Earth Syst. Sci., 24, 2175–2190, https://doi.org/10.5194/nhess-24-2175-2024, https://doi.org/10.5194/nhess-24-2175-2024, 2024
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The paper examines the changes in shoreline position of the coast of south-east Australia over a 26-year period to determine whether changes are consistent with observed changes in ocean wave and storm surge climate. The results show that in regions where there have been significant changes in wave energy flux or wave direction, there have also been changes in shoreline position consistent with non-equilibrium longshore drift.
Ina Teutsch, Ralf Weisse, and Sander Wahls
Nat. Hazards Earth Syst. Sci., 24, 2065–2069, https://doi.org/10.5194/nhess-24-2065-2024, https://doi.org/10.5194/nhess-24-2065-2024, 2024
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We investigate buoy and radar measurement data from shallow depths in the southern North Sea. We analyze the role of solitons for the occurrence of rogue waves. This is done by computing the nonlinear soliton spectrum of each time series. In a previous study that considered a single measurement site, we found a connection between the shape of the soliton spectrum and the occurrence of rogue waves. In this study, results for two additional sites are reported.
Marc Igigabel, Marissa Yates, Michalis Vousdoukas, and Youssef Diab
Nat. Hazards Earth Syst. Sci., 24, 1951–1974, https://doi.org/10.5194/nhess-24-1951-2024, https://doi.org/10.5194/nhess-24-1951-2024, 2024
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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, metocean event 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.
Irene Benito, Jeroen C. J. H. Aerts, Philip J. Ward, Dirk Eilander, and Sanne Muis
EGUsphere, https://doi.org/10.5194/egusphere-2024-1354, https://doi.org/10.5194/egusphere-2024-1354, 2024
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Global flood models are key for mitigating coastal flooding impacts, yet they still have limitations to provide actionable insights locally. We present a multiscale framework that couples dynamic water level and flood models, and bridges between fully global and local modelling approaches. We apply it to three storms to present the merits of a multiscale approach. Our findings reveal that the importance of model refinements varies based on the study area characteristics and the storm’s nature.
Jani Särkkä, Jani Räihä, Mika Rantanen, and Matti Kämäräinen
Nat. Hazards Earth Syst. Sci., 24, 1835–1842, https://doi.org/10.5194/nhess-24-1835-2024, https://doi.org/10.5194/nhess-24-1835-2024, 2024
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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 reaches up to 3.5 m. In addition, we add the maximal value of the mean level of the Baltic Sea (1 m), leading to a sea level of 4.5 m.
Alexey Androsov, Sven Harig, Natalia Zamora, Kim Knauer, and Natalja Rakowsky
Nat. Hazards Earth Syst. Sci., 24, 1635–1656, https://doi.org/10.5194/nhess-24-1635-2024, https://doi.org/10.5194/nhess-24-1635-2024, 2024
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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.
Naveen Ragu Ramalingam, Kendra Johnson, Marco Pagani, and Mario Martina
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-72, https://doi.org/10.5194/nhess-2024-72, 2024
Revised manuscript accepted for NHESS
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By combining limited tsunami simulations with a machine learning, we developed a fast and efficient framework to predict tsunami impacts such as wave heights and inundation depths along different coastal regions. Testing our model with historical tsunami source scenarios helped assess its reliability and broad applicability. This work enables more efficient and comprehensive tsunami hazard modelling workflow, essential for tsunami risk evaluations and enhancing coastal disaster preparedness.
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., 24, 1381–1400, https://doi.org/10.5194/nhess-24-1381-2024, https://doi.org/10.5194/nhess-24-1381-2024, 2024
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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 urbanization: action is needed to minimize this future risk. We evaluate dykes and coastal levees, foreshore vegetation, zoning restrictions, and dry-proofing on a global scale to estimate what levels of risk reductions are possible. We demonstrate that there are several potential adaptation pathways forward for certain areas of the world.
Charlotte Lyddon, Nguyen Chien, Grigorios Vasilopoulos, Michael Ridgill, Sogol Moradian, Agnieszka Olbert, Thomas Coulthard, Andrew Barkwith, and Peter Robins
Nat. Hazards Earth Syst. Sci., 24, 973–997, https://doi.org/10.5194/nhess-24-973-2024, https://doi.org/10.5194/nhess-24-973-2024, 2024
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Recent storms in the UK, like Storm Ciara in 2020, show how vulnerable estuaries are to the combined effect of sea level and river discharge. We show the combinations of sea levels and river discharges that cause flooding in the Conwy estuary, N Wales. The results showed flooding was amplified under moderate conditions in the middle estuary and elsewhere sea state or river flow dominated the hazard. Combined sea and river thresholds can improve prediction and early warning of compound flooding.
Shuaib Rasheed, Simon C. Warder, Yves Plancherel, and Matthew D. Piggott
Nat. Hazards Earth Syst. Sci., 24, 737–755, https://doi.org/10.5194/nhess-24-737-2024, https://doi.org/10.5194/nhess-24-737-2024, 2024
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Here we use a high-resolution bathymetry dataset of the Maldives archipelago, as well as corresponding high numerical model resolution, to carry out a scenario-based tsunami hazard assessment for the entire Maldives archipelago to investigate the potential impact of plausible far-field tsunamis across the Indian Ocean at the island scale. The results indicate that several factors contribute to mitigating and amplifying tsunami waves at the island scale.
Niels J. Korsgaard, Kristian Svennevig, Anne S. Søndergaard, Gregor Luetzenburg, Mimmi Oksman, and Nicolaj K. Larsen
Nat. Hazards Earth Syst. Sci., 24, 757–772, https://doi.org/10.5194/nhess-24-757-2024, https://doi.org/10.5194/nhess-24-757-2024, 2024
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A tsunami wave will leave evidence of erosion and deposition in coastal lakes, making it possible to determine the runup height and when it occurred. Here, we use four lakes now located at elevations of 19–91 m a.s.l. close to the settlement of Saqqaq, West Greenland, to show that at least two giant tsunamis occurred 7300–7600 years ago with runup heights larger than 40 m. We infer that any tsunamis from at least nine giga-scale landslides must have happened 8500–10 000 years ago.
Elke Magda Inge Meyer and Lidia Gaslikova
Nat. Hazards Earth Syst. Sci., 24, 481–499, https://doi.org/10.5194/nhess-24-481-2024, https://doi.org/10.5194/nhess-24-481-2024, 2024
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Storm tides for eight extreme historical storms in the German Bight are modelled using sets of slightly varying atmospheric conditions from the century reanalyses. Comparisons with the water level observations from the gauges Norderney, Cuxhaven and Husum show that single members of the reanalyses are suitable for the reconstruction of extreme storms. Storms with more northerly tracks show less variability within a set and have more potential for accurate reconstruction of extreme water levels.
Clare Lewis, Tim Smyth, Jess Neumann, and Hannah Cloke
Nat. Hazards Earth Syst. Sci., 24, 121–131, https://doi.org/10.5194/nhess-24-121-2024, https://doi.org/10.5194/nhess-24-121-2024, 2024
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Meteotsunami are the result of atmospheric disturbances and can impact coastlines causing injury, loss of life, and damage to assets. This paper introduces a novel intensity index to allow for the quantification of these events at the shoreline. This has the potential to assist in the field of natural hazard assessment. It was trialled in the UK but designed for global applicability and to become a widely accepted standard in coastal planning, meteotsunami forecasting, and early warning systems.
Chu-En Hsu, Katherine A. Serafin, Xiao Yu, Christie A. Hegermiller, John C. Warner, and Maitane Olabarrieta
Nat. Hazards Earth Syst. Sci., 23, 3895–3912, https://doi.org/10.5194/nhess-23-3895-2023, https://doi.org/10.5194/nhess-23-3895-2023, 2023
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Total water levels (TWLs) induced by tropical cyclones (TCs) are among the leading hazards faced by coastal communities. Using numerical models, we examined how TWL components (surge and wave runup) along the South Atlantic Bight varied during hurricanes Matthew (2016), Dorian (2019), and Isaias (2020). Peak surge and peak wave runup were dominated by wind speeds and relative positions to TCs. The exceedance time of TWLs was controlled by normalized distances to TC and TC translation speeds.
Maude Biguenet, Eric Chaumillon, Pierre Sabatier, Antoine Bastien, Emeline Geba, Fabien Arnaud, Thibault Coulombier, and Nathalie Feuillet
Nat. Hazards Earth Syst. Sci., 23, 3761–3788, https://doi.org/10.5194/nhess-23-3761-2023, https://doi.org/10.5194/nhess-23-3761-2023, 2023
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This work documents the impact of Hurricane Irma (2017) on the Codrington barrier and lagoon on Barbuda Island. Irma caused two wide breaches in the sandy barrier, which remained unopened for 250 years. The thick and extensive sand sheet at the top of the lagoon fill was attributed to Irma. This unique deposit in a 3700-year record confirms Irma's exceptional character. This case study illustrates the consequences of high-intensity hurricanes in low-lying islands in a global warming context.
Leigh Richard MacPherson, Arne Arns, Svenja Fischer, Fernando Javier Méndez, and Jürgen Jensen
Nat. Hazards Earth Syst. Sci., 23, 3685–3701, https://doi.org/10.5194/nhess-23-3685-2023, https://doi.org/10.5194/nhess-23-3685-2023, 2023
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Efficient adaptation planning for coastal flooding caused by extreme sea levels requires accurate assessments of the underlying hazard. Tide-gauge data alone are often insufficient for providing the desired accuracy but may be supplemented with historical information. We estimate extreme sea levels along the German Baltic coast and show that relying solely on tide-gauge data leads to underestimations. Incorporating historical information leads to improved estimates with reduced uncertainties.
Anne Margaret H. Smiley, Suzanne P. Thompson, Nathan S. Hall, and Michael F. Piehler
Nat. Hazards Earth Syst. Sci., 23, 3635–3649, https://doi.org/10.5194/nhess-23-3635-2023, https://doi.org/10.5194/nhess-23-3635-2023, 2023
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Floodwaters can deliver reactive nitrogen to sensitive aquatic systems and diminish water quality. We assessed the nitrogen removal capabilities of flooded habitats and urban landscapes. Differences in processing rates across land cover treatments and between nutrient treatments suggest that abundance and spatial distributions of habitats, as well as storm characteristics, influence landscape-scale nitrogen removal. Results have important implications for coastal development and climate change.
Marine Le Gal, Tomás Fernández-Montblanc, Enrico Duo, Juan Montes Perez, Paulo Cabrita, Paola Souto Ceccon, Véra Gastal, Paolo Ciavola, and Clara Armaroli
Nat. Hazards Earth Syst. Sci., 23, 3585–3602, https://doi.org/10.5194/nhess-23-3585-2023, https://doi.org/10.5194/nhess-23-3585-2023, 2023
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Assessing coastal hazards is crucial to mitigate flooding disasters. In this regard, coastal flood databases are valuable tools. This paper describes a new coastal flood map catalogue covering the entire European coastline, as well as the methodology to build it and its accuracy. The catalogue focuses on frequent extreme events and relies on synthetic scenarios estimated from local storm conditions. Flood-prone areas and regions sensitive to storm duration and water level peak were identified.
Neng-Ti Yu, Cheng-Hao Lu, I-Chin Yen, Jia-Hong Chen, Jiun-Yee Yen, and Shyh-Jeng Chyi
Nat. Hazards Earth Syst. Sci., 23, 3525–3542, https://doi.org/10.5194/nhess-23-3525-2023, https://doi.org/10.5194/nhess-23-3525-2023, 2023
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A paleotsunami deposit of cliff-top basalt debris was identified on the Penghu Islands in the southern Taiwan Strait and related to the 1661 earthquake in southwest Taiwan. A minimum wave height of 3.2 m is estimated to have rotated the biggest boulder for over 30 m landwards onto the cliff top at 2.5 m a.s.l. The event must have been huge compared to the 1994 M 6.4 earthquake with the ensuing 0.4 m high tsunami in the same area, validating the intimidating tsunami risks in the South China Sea.
Ye Yuan, Huaiwei Yang, Fujiang Yu, Yi Gao, Benxia Li, and Chuang Xing
Nat. Hazards Earth Syst. Sci., 23, 3487–3507, https://doi.org/10.5194/nhess-23-3487-2023, https://doi.org/10.5194/nhess-23-3487-2023, 2023
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Rip currents are narrow jets of offshore-directed flow that originated in the surf zone, which can take swimmers of all ability levels into deeper water unawares. In this study, a 1 m fine-resolution wave-resolving model was configured to study rip current variability and the optimal swimmer escape strategies. Multiple factors contribute to the survival of swimmers. However, for weak-to-moderate rip and longshore currents, swimming onshore consistently seems to be the most successful strategy.
Benedikt Mester, Thomas Vogt, Seth Bryant, Christian Otto, Katja Frieler, and Jacob Schewe
Nat. Hazards Earth Syst. Sci., 23, 3467–3485, https://doi.org/10.5194/nhess-23-3467-2023, https://doi.org/10.5194/nhess-23-3467-2023, 2023
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In 2019, Cyclone Idai displaced more than 478 000 people in Mozambique. In our study, we use coastal flood modeling and satellite imagery to construct a counterfactual cyclone event without the effects of climate change. We show that 12 600–14 900 displacements can be attributed to sea level rise and the intensification of storm wind speeds due to global warming. Our impact attribution study is the first one on human displacement and one of very few for a low-income country.
Olivier Cavalié, Frédéric Cappa, and Béatrice Pinel-Puysségur
Nat. Hazards Earth Syst. Sci., 23, 3235–3246, https://doi.org/10.5194/nhess-23-3235-2023, https://doi.org/10.5194/nhess-23-3235-2023, 2023
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Coastal areas are fragile ecosystems that face multiple hazards. In this study, we measured the downward motion of the Nice Côte d'Azur Airport (France) that was built on reclaimed area and found that it has subsided from 16 mm yr-1 in the 1990s to 8 mm yr-1 today. A continuous remote monitoring of the platform will provide key data for a detailed investigation of future subsidence maps, and this contribution will help to evaluate the potential failure of part of the airport platform.
Wagner L. L. Costa, Karin R. Bryan, and Giovanni Coco
Nat. Hazards Earth Syst. Sci., 23, 3125–3146, https://doi.org/10.5194/nhess-23-3125-2023, https://doi.org/10.5194/nhess-23-3125-2023, 2023
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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.
Cited articles
Bardsley, E.: The Weibull distribution as an extreme value model for transformed annual maxima, J. Hydrol., 58, 57–63, 2019.
Bermúdez, M., Cea, L., and Sopelana, J.: Quantifying the role of individual flood drivers and their correlations in flooding of coastal river
reaches, Stoch. Environ. Res. Risk A., 33, 1851–1861, 2019.
Bommier, E.: Peaks-Over-Threshold Modelling of Environmental Data, Department of Mathematics, Uppsala University, Uppsala, 2014.
Buchana, P. and McSharry, P. E.: Windstorm risk assessment for offshore wind
farms in the North Sea, Wind Energy, 22, 1219–1229, 2019.
Catalano, A. J., Broccoli, A. J., Kapnick, S. B., and Janoski, T. P.:
High-Impact Extratropical Cyclones along the Northeast Coast of the United
States in a Long Coupled Climate Model Simulation, J. Climate, 32, 2131–2143, 2019.
Chen, Y., Li, J., Pan, S., Gan, M., Pan, Y., Xie, D., and Clee, S.: Joint
probability analysis of extreme wave heights and surges along China's coasts, Ocean Eng., 177, 97–107, 2019.
Chun, J.-Y., Lee, K.-H., Kim, J.-M., and Kim, D.-S.: Inundation Analysis on
Coastal Zone around Masan Bay by Typhoon Maemi, J. Ocean Eng. Technol., 22, 8–17, 2008.
Coles, S.: An introduction to statistical modeling of extreme values, Springer, Berlin, Heidelberg, Germany, 2001.
Davies, G., Callaghan, D. P., Gravois, U., Jiang, W., Hanslow, D., Nichol, S., and Baldock, T.: Improved treatment of non-stationary conditions and
uncertainties in probabilistic models of storm wave climate, Coast. Eng., 127, 1–19, 2017.
Fawcett, L. and Walshaw, D.: Sea-surge and wind speed extremes: optimal estimation strategies for planners and engineers, Stoch. Environ. Res. Risk A., 30, 463–480, 2016.
Hall, T. M. and Sobel, A. H.: On the impact angle of Hurricane Sandy's New Jersey landfall, Geophys. Res. Lett., 40, 2312–2315, 2013.
Heffernan, J. E. and Stephenson, A.: ismev: An Introduction to Statistical
Modeling of Extreme Values, CRAN, available at: https://CRAN.R-project.org/package=ismev (last access: 10 January 2021), 2012.
Hisamatsu, R., Tabeta, S., Kim, S., and Mizuno, K.: Storm surge risk assessment for the insurance system: A case study in Tokyo Bay, Japan, Ocean
Coast. Manage., 189, 105147, https://doi.org/10.1016/j.ocecoaman.2020.105147, 2020.
Hur, D.-S., Yeom, G.-S., Kim, J.-M., Kim, D.-S., and Bae, K.-S.: Estimation of Storm Surges on the Coast of Busan, J. Ocean Eng. Technol., 20, 37–44, 2006.
Hwang, Y.: Stochastic analysis of storm-surge induced infrastructure losses in New York City, Doctoral degree dissertation, Columbia University in the
City of New York, New York, 2013.
IPCC – Intergovernmental Panel on Climate Change: Contribution of working
group I to the fourth assessment report of the intergovernmental panel on
Climate change, Cambridge University Press, Cambridge, 1–996, 2007.
Kang, Y.-K.: Patterns of Water Level Increase by Storm Surge and High Waves on Seawall/Quay Wall during Typhoon Maemi, J. Ocean Eng. Technol., 19, 22–28, 2005.
Ke, Q., Jonkman, S. N., van Gelder, P. H. A. J. M., and Bricker, J. D.:
Frequency Analysis of Storm-Surge-Induced Flooding for the Huangpu River in
Shanghai, China, J. Mar. Sci. Eng., 6, 70, https://doi.org/10.3390/jmse6020070, 2018.
KHOA – Korea Hydrographic and Oceanographic Agency: Korea Real Time Database for NEAR-GOOS, Busan, South Korea, 2019.
Kim, H.-J and Suh, S.-W.: Improved Hypothetical Typhoon Generation Technique
for Storm Surge Frequency Analysis on the Southwest Korean Coast, J. Coast. Res., 85, 516–520, 2018.
Kim, T.-Y. and Cho, K.-W.: Forecasting of Sea-level Rise using a Semi-Empirical Method, J. Korea. Soc. Mar. Environ. Safe., 19, 1–8, 2013.
Lee, J.-C., Kwon, J.-I., Park, K.-S., and Jun, K.-C.: Calculations of storm
surges, Typhoon Maemi, J. Korea. Soc. Coast. Ocean Eng., 20, 93–100, 2008.
Lin, N., Emanuel, K. A., Smith, J. A., and Vanmarcke, E.: Risk assessment of
hurricane storm surge for New York City, J. Geophys. Res., 115, D18121, https://doi.org/10.1029/2009JD013630, 2010.
Lin, N., Emanuel, K., Oppenheimer, M., and Vanmarcke, E.: Physically based
assessment of hurricane surge threat under climate change, Nat. Clim. Change, 2, 462–467, 2012.
Lopeman, M.: Extreme Storm Surge Hazard Estimation and Windstorm Vulnerability Assessment for Quantitative Risk Analysis, Doctoral degree
dissertation, Columbia University in the City of New York, New York, 2015.
Lopeman, M., Deodatis, G., and Franco, G.: Extreme storm surge hazard estimation in lower Manhattan, Nat. Hazards, 78, 335–391, 2015.
McInnes, K., Hoeke, R., Walsh, K., O'Grady, J., and Hubbert, G.: Application
of a synthetic cyclone method for assessment of tropical cyclone storm tides
in Samoa, Nat. Hazards, 80, 425–444, 2016.
National Typhoon Center: Typhoon technical Book, Korea Meteorological Administration, National Typhoon Center, Jeju, South Korea, 2011.
Noshadravan, A., Miller, T. R., and Gregory, J. G.: A lifecycle cost analysis of residential buildings including natural hazard risk, J. Construct. Eng. Manage., 143, 04017014, https://doi.org/10.1061/(ASCE)CO.1943-7862.0001286, 2017.
Pickands III, J.: Statistical inference using extreme order statistics, Ann. Stat., 3, 119–131, 1975.
Radic, V. and Hock, R.: Regionally differentiated contribution of mountain
glaciers and ice caps to future sea-level rise, Nat. Geosci., 4, 91–94, 2011.
Scarrott, C. and Macdonald, A.: A review of extreme value threshold estimation and uncertainty quantification, Statist. J., 10, 33–60, 2012.
Schaeffer, M., Hare, W., Rahmstorf, S., and Vermeer, M.: Long-term sea-level
rise implied by 1.5 ∘C and 2 ∘C warming levels, Nat. Clim. Change, 2, 867–870, 2012.
Silva-González, F., Heredia-Zavoni, E., and Inda-Sarmiento, G.: Square
Error Method for threshold estimation in extreme value analysis of wave heights, Ocean Eng., 137, 138–150, 2017.
Stephenson, A.: Harmonic Analysis of Tides, CRAN, available at: https://CRAN.R-project.org/package=TideHarmonics (last access: 10 January 2021), 2017.
Talke, S. A., Orton, P., and Jay, D. A.: Increasing Storm Tides in New York
Harbor, 1844–2013, Geophys. Res. Lett., 41, 3149–3155, https://doi.org/10.1002/2014GL059574, 2014.
Wahl, T., Mudersbach, C., and Jensen, J.: Statistical Assessment of Storm
Surge Scenarios Within Integrated Risk Analyses, Coast. Eng. J., 57, 150114192730001, https://doi.org/10.1142/S0578563415400033, 2015.
Yoon, J.-J. and Kim, S.-I.: Analysis of Long Period Sea Level Variation on
Tidal Station around the Korean Peninsula, J. Coast. Res., 12, 299–305, 2012.
Yum, S., Kim, J. H., and Wei, H.: Development of vulnerability curves of buildings to windstorms using insurance data: An empirical study in South Korea, J. Build. Eng., 34, 101932, https://doi.org/10.1016/j.jobe.2020.101932, 2021.
Zervas, C.: NOAA Technical Report NOS Co-OPS 067: Extreme Water Levels of the United States 1893–2010, Technical report, National Oceanic and Atmospheric Administration, National Ocean Service, Center for Operational Oceanographic Products and Services, Silver Spring, MD, 2013.
Zhong, H., Van Gelder, P. H. A. J. M., Van Overloop, P. J. A. T. M., and Wang, W.: Application of a fast stochastic storm surge model on estimating the high water level frequency in the Lower Rhine Delta, Nat. Hazards, 73, 743–759, 2014.
Zhu, Y., Xie, K., Ozbay, K., Zuo, F., and Yang, H.: Data-driven spatial modeling for quantifying networkwide resilience in the aftermath of hurricanes Irene and Sandy, Transport. Res. Rec., 2604, 9–18, 2017.
Short summary
Developed statistical models to predict the non-exceedance probability of extreme storm surge-induced typhoons. Various probability distribution models were applied to find the best fitting to empirical storm-surge data.
Developed statistical models to predict the non-exceedance probability of extreme storm...
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