Articles | Volume 22, issue 7
https://doi.org/10.5194/nhess-22-2347-2022
© Author(s) 2022. 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-22-2347-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Jul 2022
Research article |
| 18 Jul 2022
| 18 Jul 2022
Compound flood impact of water level and rainfall during tropical cyclone periods in a coastal city: the case of Shanghai
Hanqing Xu
Institute of Eco-Chongming (IEC), Key Laboratory of Geographic Information Science (Ministry of Education), and School of Geographic Sciences, East China Normal University, Shanghai, China
School of Environmental Science and Engineering, Southern University
of Science and Technology, Shenzhen, China
Department of Hydraulic Engineering, Faculty of Civil Engineering and
Geosciences, University of Technology, Delft, the Netherlands
Zhan Tian
CORRESPONDING AUTHOR
School of Environmental Science and Engineering, Southern University
of Science and Technology, Shenzhen, China
Peng Cheng Laboratory, Shenzhen, China
Laixiang Sun
School of Finance & Management, SOAS University of London, London, WC1H 0XG, UK
Department of Geographical Sciences, University of Maryland, College Park, USA
Qinghua Ye
Department of Hydraulic Engineering, Faculty of Civil Engineering and
Geosciences, University of Technology, Delft, the Netherlands
Deltares, Delft, the Netherlands
Elisa Ragno
Department of Hydraulic Engineering, Faculty of Civil Engineering and
Geosciences, University of Technology, Delft, the Netherlands
Jeremy Bricker
Department of Hydraulic Engineering, Faculty of Civil Engineering and
Geosciences, University of Technology, Delft, the Netherlands
Department of Civil and Environmental Engineering, University of
Michigan, Ann Arbor, Michigan, USA
Ganquan Mao
School of Environmental Science and Engineering, Southern University
of Science and Technology, Shenzhen, China
Jinkai Tan
School of Atmospheric Sciences and Key Laboratory of Tropical
Atmosphere–Ocean System (Ministry of Education), Sun Yat-sen University,
Zhuhai, China
Jun Wang
CORRESPONDING AUTHOR
Institute of Eco-Chongming (IEC), Key Laboratory of Geographic Information Science (Ministry of Education), and School of Geographic Sciences, East China Normal University, Shanghai, China
Qian Ke
Department of Hydraulic Engineering, Faculty of Civil Engineering and
Geosciences, University of Technology, Delft, the Netherlands
Shuai Wang
Department of Physics, Imperial College London, London, UK
Ralf Toumi
Department of Physics, Imperial College London, London, UK
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Patrick Olschewski, Qi Sun, Jianhui Wei, Yu Li, Zhan Tian, Laixiang Sun, Joël Arnault, Tanja C. Schober, Brian Böker, Harald Kunstmann, and Patrick Laux
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-95, https://doi.org/10.5194/hess-2024-95, 2024
Preprint under review for HESS
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There are indications that typhoon intensities may increase under global warming. However, further research on these projections and their uncertainties is necessary. We study changes in typhoon intensity under SSP5-8.5 for seven events affecting the Pearl River Delta using Pseudo-Global Warming and a storyline approach based on 16 CMIP6 models. Results show intensified wind speed, sea level pressure drop and precipitation levels for six events with amplified increases for individual storylines.
Qi Sun, Patrick Olschewski, Jianhui Wei, Zhan Tian, Laixiang Sun, Harald Kunstmann, and Patrick Laux
Hydrol. Earth Syst. Sci., 28, 761–780, https://doi.org/10.5194/hess-28-761-2024, https://doi.org/10.5194/hess-28-761-2024, 2024
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Tropical cyclones (TCs) often cause high economic loss due to heavy winds and rainfall, particularly in densely populated regions such as the Pearl River Delta (China). This study provides a reference to set up regional climate models for TC simulations. They contribute to a better TC process understanding and assess the potential changes and risks of TCs in the future. This lays the foundation for hydrodynamical modelling, from which the cities' disaster management and defence could benefit.
Jinkai Tan, Qiqiao Huang, and Sheng Chen
Geosci. Model Dev., 17, 53–69, https://doi.org/10.5194/gmd-17-53-2024, https://doi.org/10.5194/gmd-17-53-2024, 2024
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This study presents a deep learning architecture, multi-scale feature fusion (MFF), to improve the forecast skills of precipitations especially for heavy precipitations. MFF uses multi-scale receptive fields so that the movement features of precipitation systems are well captured. MFF uses the mechanism of discrete probability to reduce uncertainties and forecast errors so that heavy precipitations are produced.
Hanqing Xu, Elisa Ragno, Sebastiaan N. Jonkman, Jun Wang, Jeremy D. Bricker, Zhan Tian, and Laixiang Sun
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-261, https://doi.org/10.5194/hess-2023-261, 2023
Preprint under review for HESS
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A coupled statistical-hydrodynamic model framework is used to quantitatively assess the sensitivity of the compound flood hazard to the relative timing between peak surge and rainfall. The results indicate that the timing difference between storm surges and rainfall plays a crucial role in flood inundation depth and extension. The most severe inundation occurs when rainfall precedes the storm surge peak of 2 hours.
Elisa Ragno, Markus Hrachowitz, and Oswaldo Morales-Nápoles
Hydrol. Earth Syst. Sci., 26, 1695–1711, https://doi.org/10.5194/hess-26-1695-2022, https://doi.org/10.5194/hess-26-1695-2022, 2022
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We explore the ability of non-parametric Bayesian networks to reproduce maximum daily discharge in a given month in a catchment when the remaining hydro-meteorological and catchment attributes are known. We show that a saturated network evaluated in an individual catchment can reproduce statistical characteristics of discharge in about ~ 40 % of the cases, while challenges remain when a saturated network considering all the catchments together is evaluated.
Qing Liu, Hanqing Xu, and Jun Wang
Nat. Hazards Earth Syst. Sci., 22, 665–675, https://doi.org/10.5194/nhess-22-665-2022, https://doi.org/10.5194/nhess-22-665-2022, 2022
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The coastal area is a major floodplain in compound flood events in coastal cities, primarily due to storm tide, with the inundation severity positively correlated with the height of the storm tide. Simply accumulating every single-driven flood hazard (rainstorm inundation and storm tide flooding) to define the compound flood hazard may cause underestimation. The assessment of tropical cyclone compound flood risk can provide vital insight for research on coastal flooding prevention.
Manuel Andres Diaz Loaiza, Jeremy D. Bricker, Remi Meynadier, Trang Minh Duong, Rosh Ranasinghe, and Sebastiaan N. Jonkman
Nat. Hazards Earth Syst. Sci., 22, 345–360, https://doi.org/10.5194/nhess-22-345-2022, https://doi.org/10.5194/nhess-22-345-2022, 2022
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Extratropical cyclones are one of the major causes of coastal floods in Europe and the world. Understanding the development process and the flooding of storm Xynthia, together with the damages that occurred during the storm, can help to forecast future losses due to other similar storms. In the present paper, an analysis of shallow water variables (flood depth, velocity, etc.) or coastal variables (significant wave height, energy flux, etc.) is done in order to develop damage curves.
Christopher H. Lashley, Sebastiaan N. Jonkman, Jentsje van der Meer, Jeremy D. Bricker, and Vincent Vuik
Nat. Hazards Earth Syst. Sci., 22, 1–22, https://doi.org/10.5194/nhess-22-1-2022, https://doi.org/10.5194/nhess-22-1-2022, 2022
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Many coastlines around the world have shallow foreshores (e.g. salt marshes and mudflats) that reduce storm waves and the risk of coastal flooding. However, most of the studies that tried to quantify this effect have excluded the influence of very long waves, which often dominate in shallow water. Our newly developed framework addresses this oversight and suggests that safety along these coastlines may be overestimated, since these very long waves are largely neglected in flood risk assessments.
Víctor M. Santos, Mercè Casas-Prat, Benjamin Poschlod, Elisa Ragno, Bart van den Hurk, Zengchao Hao, Tímea Kalmár, Lianhua Zhu, and Husain Najafi
Hydrol. Earth Syst. Sci., 25, 3595–3615, https://doi.org/10.5194/hess-25-3595-2021, https://doi.org/10.5194/hess-25-3595-2021, 2021
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We present an application of multivariate statistical models to assess compound flooding events in a managed reservoir. Data (from a previous study) were obtained from a physical-based hydrological model driven by a regional climate model large ensemble, providing a time series expanding up to 800 years in length that ensures stable statistics. The length of the data set allows for a sensitivity assessment of the proposed statistical framework to natural climate variability.
Camelia-Eliza Telteu, Hannes Müller Schmied, Wim Thiery, Guoyong Leng, Peter Burek, Xingcai Liu, Julien Eric Stanislas Boulange, Lauren Seaby Andersen, Manolis Grillakis, Simon Newland Gosling, Yusuke Satoh, Oldrich Rakovec, Tobias Stacke, Jinfeng Chang, Niko Wanders, Harsh Lovekumar Shah, Tim Trautmann, Ganquan Mao, Naota Hanasaki, Aristeidis Koutroulis, Yadu Pokhrel, Luis Samaniego, Yoshihide Wada, Vimal Mishra, Junguo Liu, Petra Döll, Fang Zhao, Anne Gädeke, Sam S. Rabin, and Florian Herz
Geosci. Model Dev., 14, 3843–3878, https://doi.org/10.5194/gmd-14-3843-2021, https://doi.org/10.5194/gmd-14-3843-2021, 2021
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We analyse water storage compartments, water flows, and human water use sectors included in 16 global water models that provide simulations for the Inter-Sectoral Impact Model Intercomparison Project phase 2b. We develop a standard writing style for the model equations. We conclude that even though hydrologic processes are often based on similar equations, in the end these equations have been adjusted, or the models have used different values for specific parameters or specific variables.
Matteo U. Parodi, Alessio Giardino, Ap van Dongeren, Stuart G. Pearson, Jeremy D. Bricker, and Ad J. H. M. Reniers
Nat. Hazards Earth Syst. Sci., 20, 2397–2414, https://doi.org/10.5194/nhess-20-2397-2020, https://doi.org/10.5194/nhess-20-2397-2020, 2020
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We investigate sources of uncertainty in coastal flood risk assessment in São Tomé and Príncipe, a small island developing state. We find that, for the present-day scenario, uncertainty from depth damage functions and digital elevation models can be more significant than that related to the estimation of significant wave height or storm surge level. For future scenarios (year 2100), sea level rise prediction becomes the input with the strongest impact on coastal flood damage estimate.
Ganquan Mao and Junguo Liu
Geosci. Model Dev., 12, 5267–5289, https://doi.org/10.5194/gmd-12-5267-2019, https://doi.org/10.5194/gmd-12-5267-2019, 2019
Ganquan Mao, Junguo Liu, Feng Han, Ying Meng, Yong Tian, Yi Zheng, and Chunmiao Zheng
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-193, https://doi.org/10.5194/hess-2018-193, 2018
Manuscript not accepted for further review
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Apart from traditional water assessment, a new framework is proposed that assesses water resources beyond water balance and take into consideration of all the important factors as possible from perspective of both water supply and consumption.
The interaction between green and blue water plays a key role in the completed water cycling.
Natural ecosystems potentially take a higher risk on freshwater use when the water use competition increases between human and nature.
G. Tang, X. Zhu, B. Hu, J. Xin, L. Wang, C. Münkel, G. Mao, and Y. Wang
Atmos. Chem. Phys., 15, 12667–12680, https://doi.org/10.5194/acp-15-12667-2015, https://doi.org/10.5194/acp-15-12667-2015, 2015
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The manuscript is the first paper to validate and discuss the high-resolution vertical profiles of aerosols using a ceilometer in Beijing, China. We introduce the contribution of aerosols during different air pollution episodes in Beijing. Also, we seize the opportunity of emission reduction during APEC to study the contribution of aerosols. The results are helpful to provide guidance in redefining coordinated emission control strategies to control the regional pollution over northern China.
G. Mao, S. Vogl, P. Laux, S. Wagner, and H. Kunstmann
Hydrol. Earth Syst. Sci., 19, 1787–1806, https://doi.org/10.5194/hess-19-1787-2015, https://doi.org/10.5194/hess-19-1787-2015, 2015
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Nearshore tsunami amplitudes across the Maldives archipelago due to worst-case seismic scenarios in the Indian Ocean
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Investigation of historical severe storms and storm tides in the German Bight with century reanalysis data
Proposal for a new meteotsunami intensity index
Total water levels along the South Atlantic Bight during three along-shelf propagating tropical cyclones: relative contributions of storm surge and wave runup
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A new European coastal flood database for low–medium intensity events
Boulder transport and wave height of a seventeenth-century South China Sea tsunami on Penghu Islands, Taiwan
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Human displacements from Tropical Cyclone Idai attributable to climate change
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Three decades of coastal subsidence in the slow-moving Nice Côte d'Azur Airport area (France) revealed by InSAR (interferometric synthetic-aperture radar): insights into the deformation mechanism
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Bayesian hierarchical modelling of sea-level extremes in the Finnish coastal region
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Nonlinear processes in tsunami simulations for the Peruvian coast with focus on Lima/Callao
Assessing the coastal hazard of Medicane Ianos through ensemble modelling
A predictive equation for wave setup using genetic programming
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Coastal extreme sea levels in the Caribbean Sea induced by tropical cyclones
Characteristics of consecutive tsunamis and resulting tsunami behaviors in southern Taiwan induced by the Hengchun earthquake doublet on 26 December 2006
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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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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.
Kévin Dubois, Morten Andreas Dahl Larsen, Martin Drews, Erik Nilsson, and Anna Rutgersson
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-176, https://doi.org/10.5194/nhess-2023-176, 2023
Revised manuscript under review for NHESS
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Both extreme river discharge and storm surges can interact at the coast and lead to flooding. However, it is difficult to predict flood levels during such compound events because they are rare and complex. Here, we focus on the quantification of uncertainties; and we investigate the sources of limitations while carrying out such analyses at Halmstad city (Sweden). Based on a sensitivity analysis, we emphasize that both the choice of data source and statistical methodology influence the results.
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.
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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Meteotsunami are globally occurring water waves initiated by atmospheric disturbances. Previous research has suggested that in the UK, meteotsunami are a rare phenomenon and tend to occur in the summer months. This article presents a revised and updated catalogue of 98 meteotsunami that occurred between 1750 and 2022. Results also demonstrate a larger percentage of winter events and a geographical pattern highlighting the
hotspotregions that experience these events.
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.
Umesh Pranavam Ayyappan Pillai, Nadia Pinardi, Ivan Federico, Salvatore Causio, Francesco Trotta, Silvia Unguendoli, and Andrea Valentini
Nat. Hazards Earth Syst. Sci., 22, 3413–3433, https://doi.org/10.5194/nhess-22-3413-2022, https://doi.org/10.5194/nhess-22-3413-2022, 2022
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The study presents the application of high-resolution coastal modelling for wave hindcasting on the Emilia-Romagna coastal belt. The generated coastal databases which provide an understanding of the prevailing wind-wave characteristics can aid in predicting coastal impacts.
Cited articles
Anandalekshmi, A., Panicker, S. T., Adarsh, S., Siddik, A. M., Aloysius, S.,
and Mehjabin, M.: Modeling the concurrent impact of extreme rainfall and
reservoir storage on kerala floods 2018: a Copula approach, Model. Earth
Syst. Environ., 5, 1283–1296, https://doi.org/10.1007/s40808-019-00635-6, 2019.
Bacopoulos, P.: Tide-surge historical assessment of extreme water levels for
the St. Johns River: 1928–2017, J. Hydrol., 553, 624–636,
https://doi.org/10.1016/j.jhydrol.2017.08.041, 2017.
Balistrocchi, M., Moretti, G., Orlandini, S., and Ranzi, R.: Copula-based
modeling of earthen levee breach due to overtopping, Adv. Water Resour., 134, 103433, https://doi.org/10.1016/j.advwatres.2019.103433, 2019.
Bevacqua, E., Maraun, D., Hobæk Haff, I., Widmann, M., and Vrac, M.: Multivariate statistical modelling of compound events via pair-copula constructions: analysis of floods in Ravenna (Italy), Hydrol. Earth Syst. Sci., 21, 2701–2723, https://doi.org/10.5194/hess-21-2701-2017, 2017.
Bevacqua, E., Maraun, D., Vousdoukas, M. I., Voukouvalas, E., Vrac, M.,
Mentaschi, L., and Widmann, M.: Higher probability of compound flooding from
precipitation and storm surge in Europe under anthropogenic climate change,
Science Advances, 5, eaaw5531, https://doi.org/10.1126/sciadv.aaw5531, 2019.
Bilskie, M. V., Zhao, H., Resio, D., Atkinson, J., Cobell, Z., and Hagen, S.
C.: Enhancing flood hazard assessments in coastal louisiana through coupled
hydrologic and surge processes, Frontiers in Water, 3, 5, https://doi.org/10.3389/frwa.2021.609231, 2021.
Cazenave, A. and Cozannet, G. L.: Sea level rise and its coastal impacts,
Earth's Future, 2, 15–34, https://doi.org/10.1002/2013EF000188, 2014.
Chao, S. R., Ghansah, B., and Grant, R. J.: An exploratory model to
characterize the vulnerability of coastal buildings to storm surge flooding
in Miami-Dade County, Florida, Appl. Geogr., 128, 102413, https://doi.org/10.1016/j.apgeog.2021.102413, 2021.
Chen, X., Wu, L., and Zhang, J.: Increasing duration of tropical cyclones
over 432 china, Geophys. Res. Lett., 38, L02708, https://doi.org/10.1029/2010GL046137, 2011.
China Meteorological Administration (CMA): Daily Data From Surface Meteorological Stations In China, http://data.cma.cn/, last access: 16 July 2020.
Cipollini, P., Calafat, F. M., Jevrejeva, S., Melet, A., and Prandi, P.:
Monitoring sea level in the coastal zone with satellite altimetry and tide
gauges, in: Integrative Study of the Mean Sea Level and Its Components, Surv. Geophys., 35–59,
https://doi.org/10.1007/978-3-319-56490-6_3,
2017.
Cooper, M. J., Beevers, M. D., and Oppenheimer, M.: The potential impacts of
sea level rise on the coastal region of New Jersey, USA, Climatic Change,
90, 475–492, https://doi.org/10.1007/s10584-008-9422-0,
2008.
Couasnon, A., Sebastian, A., and Morales-Nápoles, O.: A
copula-based bayesian network for modeling compound flood hazard from
riverine and coastal interactions at the catchment scale: An application to
the houston ship channel, Texas, Water, 10, 1190, https://doi.org/10.3390/w10091190, 2018.
Couasnon, A., Eilander, D., Muis, S., Veldkamp, T. I. E., Haigh, I. D., Wahl, T., Winsemius, H. C., and Ward, P. J.: Measuring compound flood potential from river discharge and storm surge extremes at the global scale, Nat. Hazards Earth Syst. Sci., 20, 489–504, https://doi.org/10.5194/nhess-20-489-2020, 2020.
Du, S., Scussolini, P., Ward, P. J., Zhang, M., Wen, J., and Wang, L.: Hard
or soft flood adaptation? advantages of a hybrid strategy for shanghai,
Global Environ. Chang., 61, 102037, https://doi.org/10.1016/j.gloenvcha.2020.102037, 2020.
Edmonds, D. A., Caldwell, R. L., Brondizio, E. S., and Siani, S. M.: Coastal
flooding will disproportionately impact people on river deltas, Nat. Commun.,
11, 1–8, https://doi.org/10.1038/s41467-020-18531-4, 2020.
Fang, J., Wahl, T., Fang, J., Sun, X., Kong, F., and Liu, M.: Compound flood potential from storm surge and heavy precipitation in coastal China: dependence, drivers, and impacts, Hydrol. Earth Syst. Sci., 25, 4403–4416, https://doi.org/10.5194/hess-25-4403-2021, 2021.
Feng, D. and Beighley, E.: Identifying uncertainties in hydrologic fluxes and seasonality from hydrologic model components for climate change impact assessments, Hydrol. Earth Syst. Sci., 24, 2253–2267, https://doi.org/10.5194/hess-24-2253-2020, 2020.
Hallegatte, S., Green, C., Nicholls, R. J., and Corfee-Morlot, J.: Future flood losses in major coastal cities, Nat. Clim. Change, 3, 802–806, https://doi.org/10.1038/nclimate1979, 2013.
He, Q. and Silliman, B. R.: Climate change, human impacts, and coastal
ecosystems in the Anthropocene, Curr. Biol., 29, 1021–1035,
https://doi.org/10.1016/j.cub.2019.08.042, 2019.
Higgins, S. A., Overeem, I., Steckler, M. S., Syvitski, J. P., Seeber, L.,
and Akhter, S. H.: InSAR measurements of compaction and subsidence in the
Ganges-Brahmaputra Delta, Bangladesh, J. Geophys. Res.-Earth, 119, 1768–1781, https://doi.org/10.1002/2014JF003117, 2014.
Holgate, S. J.: On the decadal rates of sea level change during the
twentieth century, Geophys. Res. Lett., 34, L01602, https://doi.org/10.1029/2006GL028492, 2007.
Holland, G. J., Belanger, J. I., and Fritz, A.: A revised model for radial
profiles of hurricane winds, Mon. Weather Rev., 138, 4393–4401,
https://doi.org/10.1175/2010MWR3317.1, 2010.
Hong Kong Observatory: Hong Kong Observatory Tracks of Tropical Cyclones, https://www.hko.gov.hk/en/index.html, last access: 16 July 2020.
Hoque, M. A. A., Phinn, S., Roelfsema, C., and Childs, I.: Assessing
tropical cyclone risks using geospatial techniques, Appl. Geogr., 98,
22–33, https://doi.org/10.1016/j.apgeog.2018.07.004, 2018.
Hu, H., Tian, Z., Sun, L., Wen, J., Liang, Z., Dong, G., and Liu, J.:
Synthesized trade-off analysis of flood control solutions under future deep
uncertainty: An application to the central business district of shanghai,
Water Res., 166, 115067, https://doi.org/10.1016/j.watres.2019.115067, 2019.
Idier, D., Rohmer, J., Pedreros, R., Le Roy, S., Lambert, J., Louisor, J.,
and Le Cornec, E.: Coastal flood: a composite method for past events
characterisation providing insights in past, present and future
hazards-joining historical, statistical and modelling approaches, Nat.
Hazards, 101, 465–501, https://doi.org/10.1007/s11069-020-03882-4, 2020.
IPCC: Climate Change 2021: The Physical Science Basis, Contribution of Working Group I to the sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, in Press, 2021.
Jebbad, R., Sierra, J. P., Mösso, C., Mestres, M., and
Sánchez-Arcilla, A.: Assessment of harbour inoperability and adaptation
cost due to sea level rise. Application to the port of Tangier-Med
(Morocco), Appl. Geogr., 138, 102623, https://doi.org/10.1016/j.apgeog.2021.102623, 2022.
Karim, M. F. and Mimura, N.: Impacts of climate change and sea-level rise
on cyclonic storm surge floods in Bangladesh, Global Environ. Chang.,
18, 490–500, https://doi.org/10.1016/j.gloenvcha.2008.05.002, 2008.
Ke, Q.: Flood risk analysis for metropolitan areas – a case study for Shanghai, PhD,, TU Delft: Delft University of Technology, ISBN 9789065623669,
https://doi.org/10.4233/uuid:61986b2d-72de-45e7-8f2a-bd61c725325d, 2014.
Ke, Q., Jonkman, S. N., Van Gelder, P. H., and Bricker, J. D.: Frequency
analysis of storm-surge-induced flooding for the huangpu river in Shanghai,
China, Journal of Marine Science and Engineering, 6, 70, https://doi.org/10.3390/jmse6020070, 2018.
Ke, Q., Yin, J., Bricker, J. D., Savage, N., Buonomo, E., Ye, Q., Paul, V.,
Guangtao D., Shuai, W., Zhan, T., Laixiang, S., Ralf, T., and Jonkman, S. N.: An
integrated framework of coastal flood modelling under the failures of
seadikes: a case study in Shanghai, Nat. Hazards, 109, 671–703, https://doi.org/10.1007/s11069-021-04853-z, 2021.
Khanal, S., Ridder, N., Terink, W., and v. d. Hurk, B.: Storm surge and
extreme river discharge: A compound event analysis using ensemble impact
modelling, Front. Earth Sci., 7, 224,
https://doi.org/10.3389/feart.2019.00224 2019.
Knapp, K. R., Kruk, M. C., Levinson, D. H., Diamond, H. J., and Neumann, C.
J.: The international best track archive for climate stewardship (IBTrACS)
unifying tropical cyclone data, B. Am. Meteorol.
Soc., 91, 363–376, https://doi.org/10.1175/2009BAMS2755.1, 2010.
Kossin, J. P.: A global slowdown of tropical-cyclone translation speed,
Nature, 558, 104-107, https://doi.org/10.1038/s41586-018-0158-3, 2018.
Kulp, S. A. and Strauss, B. H.: New elevation data triple estimates of
global vulnerability to sea-level rise and coastal flooding, Nat. Commun.,
10, 1–12, https://doi.org/10.1038/s41467-019-12808-z, 2019.
Leonard, M., Westra, S., Phatak, A., Lambert, M., van den Hurk, B., McInnes,
K., and Stafford-Smith, M.: A compound event framework for understanding
extreme impacts, Wires Clim. Change, 5,
113–128, https://doi.org/10.1002/wcc.252, 2014.
Li, F. and Zheng, Q.: Probabilistic modelling of flood events using the
entropy copula, Adv. Water Resour., 97, 233–240, https://doi.org/10.1016/j.advwatres.2016.09.016, 2016.
Li, M., Kwan, M. P., Yin, J., Yu, D., and Wang, J.: The potential effect of
a 100-year pluvial flood event on metro accessibility and ridership: A case
study of central Shanghai, China, Appl. Geogr., 100, 21–29,
https://doi.org/10.1016/j.apgeog.2018.09.001, 2018.
Liu, Q., Xu, H., and Wang, J.: Assessing tropical cyclone compound flood risk using hydrodynamic modelling: a case study in Haikou City, China, Nat. Hazards Earth Syst. Sci., 22, 665–675, https://doi.org/10.5194/nhess-22-665-2022, 2022.
Li, W., Wen, J., Xu, B., Li, X., and Du, S.: Integrated assessment of
economic losses in manufacturing industry in Shanghai metropolitan area
under an extreme storm flood scenario, Sustainability, 11, 126,
https://doi.org/10.3390/su11010126, 2019.
Meijer, D. and Hutten, R.: 2D urban modelling using Delft3D FM, Deltares, 2018.
Moftakhari, H. R., Salvadori, G., AghaKouchak, A., Sanders, B. F., and
Matthew, R. A.: Compounding effects of sea level rise and fluvial flooding,
P. Natl. Acad. Sci. USA, 114, 9785–9790,
https://doi.org/10.1073/pnas.1620325114, 2017.
Moftakhari, H., Schubert, J. E., AghaKouchak, A., Matthew, R. A., and
Sanders, B. F.: Linking statistical and hydrodynamic modeling for compound
flood hazard assessment in tidal channels and estuaries, Adv. Water
Resour., 128, 28–38, https://doi.org/10.1016/j.advwatres.2019.04.009, 2019.
Neumann, B., Vafeidis, A. T., Zimmermann, J., and Nicholls, R. J.: Future
Coastal Population Growth and Exposure to Sea-Level Rise and Coastal
Flooding – A Global Assessment, PLoS ONE, 10, e0118571, https://doi.org/10.1371/journal.pone.0131375, 2015.
Park, Y. H. and Suh, K. D.: Variations of storm surge caused by shallow
water depths and extreme tidal ranges, Ocean Eng., 55, 44–51,
https://doi.org/10.1016/j.oceaneng.2012.07.032, 2012.
Salvadori, G. and De Michele, C.: Frequency analysis via copulas:
Theoretical aspects and applications to hydrological events, Water Resour. Res., 40, W12511, https://doi.org/10.1029/2004WR003133,
2004.
Santos, V. M., Casas-Prat, M., Poschlod, B., Ragno, E., van den Hurk, B., Hao, Z., Kalmár, T., Zhu, L., and Najafi, H.: Statistical modelling and climate variability of compound surge and precipitation events in a managed water system: a case study in the Netherlands, Hydrol. Earth Syst. Sci., 25, 3595–3615, https://doi.org/10.5194/hess-25-3595-2021, 2021.
Sklar, A.: Random variables, joint distribution functions, and copulas,
Kybernetika, 9, 449–460, 1973.
Shen, Y., Morsy, M. M., Huxley, C., Tahvildari, N., and Goodall, J. L.:
Flood risk assessment and increased resilience for coastal urban watersheds
under the combined impact of storm tide and heavy rainfall, J. Hydrol., 579, 124159, https://doi.org/10.1016/j.jhydrol.2019.124159, 2019.
Sklar, M.: Fonctions de Répartition à n Dimensions et Leurs Marges,
Publ. inst. statist. univ. Paris, 8, 229–231, 1959 (in French).
Sohn, W., Bae, J., and Newman, G.: Green infrastructure for coastal flood
protection: The longitudinal impacts of green infrastructure patterns on
flood damage, Appl.Geogr., 135, 102565, https://doi.org/10.1016/j.apgeog.2021.102565, 2021.
Sweet, W. W. V., Zervas, C. E., and Gill, S. K.: Elevated east coast sea level anomaly: June–July 2009. NOAA Tech. Rep. No. NOS CO-OPS 051, NOAA Natl. Ocean Service, Silver Spring, Md, 2009.
Symonds, A. M., Vijverberg, T., Post, S., Van Der Spek, B. J., Henrotte, J.,
and Sokolewicz, M.: Comparison between Mike 21 FM, Delft3D and Delft3D FM
flow models of western port bay, Australia, Coast. Eng., 2, 1–12, https://doi.org/10.9753/icce.v35.currents.11, 2016.
Takagi, H. and Wu, W.: Maximum wind radius estimated by the 50 kt radius: improvement of storm surge forecasting over the western North Pacific, Nat. Hazards Earth Syst. Sci., 16, 705–717, https://doi.org/10.5194/nhess-16-705-2016, 2016.
Visser-Quinn, A., Beevers, L., Collet, L., Formetta, G., Smith, K., Wanders,
N., Thober, S., Pan, M., and Kumar, R.: Spatio-temporal analysis of compound
hydro-hazard extremes across the UK, Adv. Water Resour., 130,
77–90, https://doi.org/10.1016/j.advwatres.2019.05.019, 2019.
Wahl, T., Jain, S., Bender, J., Meyers, S. D., and Luther, M. E.: Increasing
risk of compound flooding from storm surge and rainfall for major US cities,
Nat. Clim. Change, 5, 1093–1097, https://doi.org/10.1038/nclimate2736, 2015.
Wahl, T., Haigh, I. D., Nicholls, R. J., Arns, A., Dangendorf, S., Hinkel,
J., and Slangen, A. B.: Understanding extreme sea levels for broad-scale
coastal impact and adaptation analysis, Nat. Commun., 8, 1–12,
https://doi.org/10.1038/ncomms16075, 2017.
Wang, J., Gao, W., Xu, S., and Yu, L.: Evaluation of the combined risk of
sea level rise, land subsidence, and storm surges on the coastal areas of
Shanghai, China, Climatic Change, 115, 537–558, https://doi.org/10.1007/s10584-012-0468-7, 2012.
Wang, J., Yi, S., Li, M., Wang, L., and Song, C.: Effects of sea level rise,
land subsidence, bathymetric change and typhoon tracks on storm flooding in
the coastal areas of shanghai, Sci. Total Environ., 621,
228–234, https://doi.org/10.1016/j.scitotenv.2017.11.224, 2018.
Xu, H., Xu, K., Bin, L., Lian, J., and Ma, C.: Joint risk of rainfall and
storm surges during typhoons in a coastal city of Hainan Island, China,
Int. J. Env. Res. Pub. He., 15,
1377, https://doi.org/10.3390/ijerph15071377, 2018.
Xu, P., Wang, D., Wang, Y., Qiu, J., Singh, V. P., Ju, X., Zhang, A., Wu,
J., and Zhang, C.: Time-varying copula and average annual reliability-based
nonstationary hazard assessment of extreme rainfall events, J. Hydrol., 603, 126792, https://doi.org/10.1016/j.jhydrol.2021.126792, 2021.
Yan, B., Li, S., Wang, J., Ge, Z., and Zhang, L.: Socio-economic
vulnerability of the megacity of Shanghai (China) to sea-level rise and
associated storm surges, Reg. Environ Change., 16, 1443–1456, https://doi.org/10.1007/s10113-015-0878-y, 2016.
Yin, J., Lin, N., Yang, Y., Pringle, W. J., Tan, J., Westerink, J. J., and
Yu, D.: Hazard Assessment for Typhoon-Induced Coastal Flooding and
Inundation in Shanghai, China, J. Geophys. Res.-Oceans,
126, e2021JC017319, https://doi.org/10.1029/2021JC017319,
2021.
Zellou, B. and Rahali, H.: Assessment of the joint impact of extreme
rainfall and storm surge on the risk of flooding in a coastal area, J. Hydrol., 569, 647–665, https://doi.org/10.1016/j.jhydrol.2018.12.028, 2019.
Zhang, W., Chang, W. J., Zhu, Z. C., and Hui, Z.: Landscape ecological risk
assessment of Chinese coastal cities based on land use change, Appl.
Geogr., 117, 102174, https://doi.org/10.1016/j.apgeog.2020.102174, 2020.
Zheng, F., Westra, S., and Sisson, S. A.: Quantifying the dependence between
extreme rainfall and storm surge in the coastal zone, J. Hydrol.,
505, 172–187, https://doi.org/10.1016/j.jhydrol.2013.09.054,
2013.
Zscheischler, J., Westra, S., Van Den Hurk, B. J., Seneviratne, S. I., Ward,
P. J., and Pitman, A.: Future climate risk from compound events, Nat. Clim.
Change, 8, 469–477, https://doi.org/10.1038/s41558-018-0156-3, 2018.
Short summary
A hydrodynamic model and copula methodology were used to set up a joint distribution of the peak water level and the inland rainfall during tropical cyclone periods, and to calculate the marginal contributions of the individual drivers. The results indicate that the relative sea level rise has significantly amplified the peak water level. The astronomical tide is the leading driver, followed by the contribution from the storm surge.
A hydrodynamic model and copula methodology were used to set up a joint distribution of the peak...
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