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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Dan Li, Laixiang Sun, Yang Yu, and Peipei Tian
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-260, https://doi.org/10.5194/essd-2025-260, 2025
Preprint under review for ESSD
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We present a standardized, bottom-up framework to estimate slum populations at neighborhood level across 129 Global South countries. Our approach addresses underestimations in prior studies that rely heavily on slum geometry. Our dataset offers the first comprehensive inventory in data-sparse settings. This research offers valuable insights to support sustainable urban development goals, inform humanitarian aid distribution, and enhance the well-being in underserved communities.
Hengzhi Hu, Qian Ke, Wei Wu, Min Zhang, and Jiahong Wen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-391, https://doi.org/10.5194/hess-2024-391, 2025
Preprint under review for HESS
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This study proposes a framework combining robustness and adaptability for long-term flood planning. Applied to Shanghai, it shows that the most cost-effective option may not meet long-term goals, and a combination of green spaces, drainage, and tunnels outperforms individual measures. The findings emphasize the importance of flexibility and adaptability in flood control to avoid regrets and help other cities plan resilient, long-term solutions.
Hanqing Xu, Elisa Ragno, Sebastiaan N. Jonkman, Jun Wang, Jeremy D. Bricker, Zhan Tian, and Laixiang Sun
Hydrol. Earth Syst. Sci., 28, 3919–3930, https://doi.org/10.5194/hess-28-3919-2024, https://doi.org/10.5194/hess-28-3919-2024, 2024
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A coupled statistical–hydrodynamic model framework is employed to quantitatively evaluate the sensitivity of compound flood hazards to the relative timing of peak storm surges and rainfall. The findings reveal that the timing difference between these two factors significantly affects flood inundation depth and extent. The most severe inundation occurs when rainfall precedes the storm surge peak by 2 h.
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.
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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Nat. Hazards Earth Syst. Sci., 25, 1353–1375, https://doi.org/10.5194/nhess-25-1353-2025, https://doi.org/10.5194/nhess-25-1353-2025, 2025
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Nat. Hazards Earth Syst. Sci., 25, 1169–1185, https://doi.org/10.5194/nhess-25-1169-2025, https://doi.org/10.5194/nhess-25-1169-2025, 2025
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This paper introduces two new, simple, physics-based hazard forecast models of rip current and shore-break waves, which are the two primary natural hazards beachgoers expose themselves to in the surf zone. These models, which depend on a limited number of free parameters, accurately predict rip-current and shore-break wave hazard levels, including their modulation by tide elevation and incident wave conditions, opening new perspectives to forecast multiple surf-zone hazards on sandy beaches.
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Shorelines retreat or advance in response to sea level changes, subsidence or uplift of the ground, and morphological processes (sedimentation and erosion). We show that the geometrical influence of each of these drivers on shoreline movements can be quantified by combining different remote sensing observations, including radar altimetry, lidar and optical satellite images. The focus here is to illustrate the uncertainties of these observations by comparing datasets that cover similar processes.
Alisée A. Chaigneau, Melisa Menéndez, Marta Ramírez-Pérez, and Alexandra Toimil
Nat. Hazards Earth Syst. Sci., 24, 4109–4131, https://doi.org/10.5194/nhess-24-4109-2024, https://doi.org/10.5194/nhess-24-4109-2024, 2024
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Tropical cyclones drive extreme sea levels, causing large storm surges due to low atmospheric pressure and strong winds. This study explores factors affecting the numerical modelling of storm surges induced by hurricanes in the tropical Atlantic. Two ocean models are compared and used for sensitivity experiments. ERA5 atmospheric reanalysis forcing generally improves surge estimates compared to parametric wind models. Including ocean circulations reduces errors in surge estimates in some areas.
Christopher Stokes, Timothy Poate, Gerd Masselink, Tim Scott, and Steve Instance
Nat. Hazards Earth Syst. Sci., 24, 4049–4074, https://doi.org/10.5194/nhess-24-4049-2024, https://doi.org/10.5194/nhess-24-4049-2024, 2024
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Currents at beaches with an estuary mouth have rarely been studied before. Using field measurements and computer modelling, we show that surfzone currents can be driven by both estuary flow and rip currents. We show that an estuary mouth beach can have flows reaching 1.5 m s−1 and have a high likelihood of taking bathers out of the surfzone. The river channels on the beach direct the flows, and even though they change position over time, it was possible to predict when peak hazards would occur.
Alisée A. Chaigneau, Angélique Melet, Aurore Voldoire, Maialen Irazoqui Apecechea, Guillaume Reffray, Stéphane Law-Chune, and Lotfi Aouf
Nat. Hazards Earth Syst. Sci., 24, 4031–4048, https://doi.org/10.5194/nhess-24-4031-2024, https://doi.org/10.5194/nhess-24-4031-2024, 2024
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Climate-change-induced sea level rise increases the frequency of extreme sea levels. We analyze projected changes in extreme sea levels for western European coasts produced with high-resolution models (∼ 6 km). Unlike commonly used coarse-scale global climate models, this approach allows us to simulate key processes driving coastal sea level variations, such as long-term sea level rise, tides, storm surges induced by low atmospheric surface pressure and winds, waves, and their interactions.
Joshua Kiesel, Claudia Wolff, and Marvin Lorenz
Nat. Hazards Earth Syst. Sci., 24, 3841–3849, https://doi.org/10.5194/nhess-24-3841-2024, https://doi.org/10.5194/nhess-24-3841-2024, 2024
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In October 2023, one of the strongest storm surges on record hit the southwestern Baltic Sea coast, causing severe impacts in the German federal state of Schleswig-Holstein, including dike failures. Recent studies on coastal flooding from the same region align well with the October 2023 surge, with differences in peak water levels of less than 30 cm. This rare coincidence is used to assess current capabilities and limitations of coastal flood modelling and derive key areas for future research.
Yujie Liu, Yuncheng He, Pakwai Chan, Aiming Liu, and Qijun Gao
EGUsphere, https://doi.org/10.5194/egusphere-2024-3223, https://doi.org/10.5194/egusphere-2024-3223, 2024
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Offshore wind turbines are sensitive to tropical cyclones (TCs). Wind data from Super Typhoons Mangkhut and Saola, impacting South China, are vital for design and operation. Despite Saola's higher intensity, it caused less damage. Both had concentric eyewall structures, but Saola completed an eyewall replacement before landfall, becoming more compact. Mangkhut decayed but affected a wider area. Their wind characteristics provide insights for turbine maintenance and operation.
Emmie Malika Bonilauri, Catherine Aaron, Matteo Cerminara, Raphaël Paris, Tomaso Esposti Ongaro, Benedetta Calusi, Domenico Mangione, and Andrew John Lang Harris
Nat. Hazards Earth Syst. Sci., 24, 3789–3813, https://doi.org/10.5194/nhess-24-3789-2024, https://doi.org/10.5194/nhess-24-3789-2024, 2024
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Currently on the island of Stromboli, only 4 min of warning time is available for a locally generated tsunami. We combined tsunami simulations and human exposure to complete a risk analysis. We linked the predicted inundation area and the tsunami warning signals to assess the hazard posed by future tsunamis and to design escape routes to reach safe areas and to optimise evacuation times. Such products can be used by civil protection agencies on Stromboli.
Robert McCall, Curt Storlazzi, Floortje Roelvink, Stuart G. Pearson, Roel de Goede, and José A. Á. Antolínez
Nat. Hazards Earth Syst. Sci., 24, 3597–3625, https://doi.org/10.5194/nhess-24-3597-2024, https://doi.org/10.5194/nhess-24-3597-2024, 2024
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Accurate predictions of wave-driven flooding are essential to manage risk on low-lying, reef-lined coasts. Models to provide this information are, however, computationally expensive. We present and validate a modeling system that simulates flood drivers on diverse and complex reef-lined coasts as competently as a full-physics model but at a fraction of the computational cost to run. This development paves the way for application in large-scale early-warning systems and flood risk assessments.
Laura Schaffer, Andreas Boesch, Johanna Baehr, and Tim Kruschke
EGUsphere, https://doi.org/10.5194/egusphere-2024-3144, https://doi.org/10.5194/egusphere-2024-3144, 2024
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We developed a simple yet effective model to predict storm surges in the German Bight, using wind data and a multiple linear regression approach. Trained on historical data from 1959 to 2022, our storm surge model demonstrates high predictive skill and performs as well as more complex models, despite its simplicity. It can predict both moderate and extreme storm surges, making it a valuable tool for future climate change studies.
Jean H. M. Roger and Bernard Pelletier
Nat. Hazards Earth Syst. Sci., 24, 3461–3478, https://doi.org/10.5194/nhess-24-3461-2024, https://doi.org/10.5194/nhess-24-3461-2024, 2024
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We present a catalogue of tsunamis that occurred in the Vanuatu Arc. It has been built based on the analysis of existing catalogues, historical documents, and sea-level data from five coastal tide gauges. Since 1863, 100 tsunamis of local, regional, or far-field origins have been listed; 15 of them show maximum wave amplitudes and/or run-up heights of above 1 m, and 8 are between 0.3 and 1 m. Details are provided for particular events, including debated events or events with no known origin(s).
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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The coastlines bordering the Arabian Sea have yielded various tsunamites reflecting its high hazard potential and recurrences. My PhD project aims at the estimation and zonation of the hazards and risks associated with. This publication is a continuation of the previous publication (Haider et al., 2023), which focused on hazard estimation through a multi-proxy approach. This part of the study estimates the risk potential through integrated tsunami inundation analysis.
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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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 investigate the sources of limitations while carrying out such analyses at Halmstad, Sweden. Based on a sensitivity analysis, we emphasize that both the choice of data source and statistical methodology influence the results.
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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The eruption of the Hunga Tonga–Hunga Ha'apai volcano in January 2022 triggered a global phenomenon, including an atmospheric wave and a volcano-meteorological tsunami (VMT). The tsunami, reaching as far as Callao, Peru, 10 000 km away, caused significant coastal impacts. This study delves into understanding these effects, particularly on vessel mooring safety. The findings underscore the importance of enhancing early warning systems and preparing port authorities for managing such rare events.
Nikolaus Groll, Lidia Gaslikova, and Ralf Weisse
EGUsphere, https://doi.org/10.5194/egusphere-2024-2664, https://doi.org/10.5194/egusphere-2024-2664, 2024
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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.
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.
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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