Articles | Volume 21, issue 11
https://doi.org/10.5194/nhess-21-3353-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-3353-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Nov 2021
Research article |
| 09 Nov 2021
| 09 Nov 2021
Tidal flood area mapping in the face of climate change scenarios: case study in a tropical estuary in the Brazilian semi-arid region
Paulo Victor N. Araújo
CORRESPONDING AUTHOR
Postgraduate Program in Geodynamics and Geophysics (PPGG), Federal
University of Rio Grande do Norte, P.O. Box 1524, Natal, Rio Grande do Norte, 59078-970,
Brazil
Research Group on Environmental Analysis, Modelling and Geoinformation
(PAMGEIA), Federal Institute of Education, Science and Technology of Rio
Grande do Norte, Macau, Rio Grande do Norte, 59500-000, Brazil
Laboratory of Geotechnologies, Coastal and Ocean Modelling (GNOMO),
Department of Civil Engineering, Federal University of Rio Grande do Norte,
Natal, Rio Grande do Norte, 59078-970, Brazil
Venerando E. Amaro
Postgraduate Program in Geodynamics and Geophysics (PPGG), Federal
University of Rio Grande do Norte, P.O. Box 1524, Natal, Rio Grande do Norte, 59078-970,
Brazil
Laboratory of Geotechnologies, Coastal and Ocean Modelling (GNOMO),
Department of Civil Engineering, Federal University of Rio Grande do Norte,
Natal, Rio Grande do Norte, 59078-970, Brazil
Leonlene S. Aguiar
Laboratory of Geotechnologies, Coastal and Ocean Modelling (GNOMO),
Department of Civil Engineering, Federal University of Rio Grande do Norte,
Natal, Rio Grande do Norte, 59078-970, Brazil
Caio C. Lima
Laboratory of Geotechnologies, Coastal and Ocean Modelling (GNOMO),
Department of Civil Engineering, Federal University of Rio Grande do Norte,
Natal, Rio Grande do Norte, 59078-970, Brazil
Federal Institute of Education, Science and Technology of Rio Grande
do Norte, Natal, Rio Grande do Norte, 59015-000, Brazil
Alexandre B. Lopes
Center for Marine Studies (CEM), Federal University of Paraná, P.O. Box 61,
Curitiba, Paraná, 83225-976, Brazil
Related authors
Paulo Victor N. Araújo, Venerando E. Amaro, Robert M. Silva, and Alexandre B. Lopes
Nat. Hazards Earth Syst. Sci., 19, 237–250, https://doi.org/10.5194/nhess-19-237-2019, https://doi.org/10.5194/nhess-19-237-2019, 2019
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This paper aims to map flood hazard areas under the influence of the Uruguay River, Itaqui (southern Brazil), using a calibrated digital elevation model (DEM), historic river level data and geoprocessing techniques. Assessment of the areas that can potentially be flooded can help to reduce the negative impact of flood events by supporting the process of land-use planning in areas exposed to flood hazards.
Paulo Victor N. Araújo, Venerando E. Amaro, Robert M. Silva, and Alexandre B. Lopes
Nat. Hazards Earth Syst. Sci., 19, 237–250, https://doi.org/10.5194/nhess-19-237-2019, https://doi.org/10.5194/nhess-19-237-2019, 2019
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This paper aims to map flood hazard areas under the influence of the Uruguay River, Itaqui (southern Brazil), using a calibrated digital elevation model (DEM), historic river level data and geoprocessing techniques. Assessment of the areas that can potentially be flooded can help to reduce the negative impact of flood events by supporting the process of land-use planning in areas exposed to flood hazards.
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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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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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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
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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.
Jeremy Rohmer, Deborah Idier, Remi Thieblemont, Goneri Le Cozannet, and François Bachoc
Nat. Hazards Earth Syst. Sci., 22, 3167–3182, https://doi.org/10.5194/nhess-22-3167-2022, https://doi.org/10.5194/nhess-22-3167-2022, 2022
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We quantify the influence of wave–wind characteristics, offshore water level and sea level rise (projected up to 2200) on the occurrence of flooding events at Gâvres, French Atlantic coast. Our results outline the overwhelming influence of sea level rise over time compared to the others. By showing the robustness of our conclusions to the errors in the estimation procedure, our approach proves to be valuable for exploring and characterizing uncertainties in assessments of future flooding.
Edgar U. Zorn, Aiym Orynbaikyzy, Simon Plank, Andrey Babeyko, Herlan Darmawan, Ismail Fata Robbany, and Thomas R. Walter
Nat. Hazards Earth Syst. Sci., 22, 3083–3104, https://doi.org/10.5194/nhess-22-3083-2022, https://doi.org/10.5194/nhess-22-3083-2022, 2022
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Tsunamis caused by volcanoes are a challenge for warning systems as they are difficult to predict and detect. In Southeast Asia there are many active volcanoes close to the coast, so it is important to identify the most likely volcanoes to cause tsunamis in the future. For this purpose, we developed a point-based score system, allowing us to rank volcanoes by the hazard they pose. The results may be used to improve local monitoring and preparedness in the affected areas.
Ekaterina Didenkulova, Ira Didenkulova, and Igor Medvedev
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-215, https://doi.org/10.5194/nhess-2022-215, 2022
Revised manuscript accepted for NHESS
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The paper is dedicated to freak wave accidents which happened in the World Ocean in 2005–2021 and were described in mass media sources. The database accounts for 429 events, all of which resulted in ship or coastal/offshore structure damage and/or human losses. In correspondence to each freak wave event we put background wave and wind parameters extracted from the climate reanalysis ERA5. We analyze their statistics and discuss the favorable conditions of freak wave occurrence.
Alexander Müller, Birgit Gerkensmeier, Benedikt Bratz, Clemens Krautwald, Olaf Müller, Nils Goseberg, and Gabriele Gönnert
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-223, https://doi.org/10.5194/nhess-2022-223, 2022
Revised manuscript under review for NHESS
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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, behaviour 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.
Jorge León, Alejandra Gubler, and Alonso Ogueda
Nat. Hazards Earth Syst. Sci., 22, 2857–2878, https://doi.org/10.5194/nhess-22-2857-2022, https://doi.org/10.5194/nhess-22-2857-2022, 2022
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Our research focuses on how the geophysical characteristics of coastal cities can determine evacuees' vulnerability during a tsunami evacuation. We identify, analyse, and rank some of those essential characteristics by examining seven case studies in Chile through computer-based inundation, evacuation, and statistical regressive modelling. These results could lead to urban planning guidelines to enhance future evacuations and increase resilience to global tsunamis.
Azucena Román-de la Sancha, Rodolfo Silva, Omar S. Areu-Rangel, Manuel Gerardo Verduzco-Zapata, Edgar Mendoza, Norma Patricia López-Acosta, Alexandra Ossa, and Silvia García
Nat. Hazards Earth Syst. Sci., 22, 2589–2609, https://doi.org/10.5194/nhess-22-2589-2022, https://doi.org/10.5194/nhess-22-2589-2022, 2022
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Transport networks in coastal urban areas are vulnerable to seismic events, with damage likely due to both ground motions and tsunami loading. The paper presents an approach that captures the earthquake–tsunami effects on transport infrastructure in a coastal area, taking into consideration the combined strains of the two events. The model is applied to a case in Manzanillo, Mexico, using ground motion records of the 1995 earthquake–tsunami event.
Tien-Chi Liu, Tso-Ren Wu, and Shu-Kun Hsu
Nat. Hazards Earth Syst. Sci., 22, 2517–2530, https://doi.org/10.5194/nhess-22-2517-2022, https://doi.org/10.5194/nhess-22-2517-2022, 2022
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The findings from historical reports and numerical studies suggest the 1781 Jiateng Harbor flooding and the 1782 tsunami should be two independent incidents. Local tsunamis generated in southwest Taiwan could be responsible for the 1781 flooding, while the existence of the 1782 tsunami remains doubtful. With the documents of a storm event on 22 May 1782, the possibility that the significant water level of the 1782 tsunami was caused by storm surges or multiple hazards could not be ignored.
Mariana C. A. Clare, Tim W. B. Leijnse, Robert T. McCall, Ferdinand L. M. Diermanse, Colin J. Cotter, and Matthew D. Piggott
Nat. Hazards Earth Syst. Sci., 22, 2491–2515, https://doi.org/10.5194/nhess-22-2491-2022, https://doi.org/10.5194/nhess-22-2491-2022, 2022
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Assessing uncertainty is computationally expensive because it requires multiple runs of expensive models. We take the novel approach of assessing uncertainty from coastal flooding using a multilevel multifidelity (MLMF) method which combines the efficiency of less accurate models with the accuracy of more expensive models at different resolutions. This significantly reduces the computational cost but maintains accuracy, making previously unfeasible real-world studies possible.
Elke Magda Inge Meyer, Ralf Weisse, Iris Grabemann, Birger Tinz, and Robert Scholz
Nat. Hazards Earth Syst. Sci., 22, 2419–2432, https://doi.org/10.5194/nhess-22-2419-2022, https://doi.org/10.5194/nhess-22-2419-2022, 2022
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The severe storm tide of 13 March 1906 is still one of the most severe storm events for the East Frisian coast. Water levels from this event are considered for designing dike lines. For the first time, we investigate this event with a hydrodynamic model by forcing with atmospheric data from 147 ensemble members from century reanalysis projects and a manual reconstruction of the synoptic situation. Water levels were notably high due to a coincidence of high spring tides and high surge.
Julius Schlumberger, Christian Ferrarin, Sebastiaan N. Jonkman, Manuel Andres Diaz Loaiza, Alessandro Antonini, and Sandra Fatorić
Nat. Hazards Earth Syst. Sci., 22, 2381–2400, https://doi.org/10.5194/nhess-22-2381-2022, https://doi.org/10.5194/nhess-22-2381-2022, 2022
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Flooding has serious impacts on the old town of Venice. This paper presents a framework combining a flood model with a flood-impact model to support improving protection against future floods in Venice despite the recently built MOSE barrier. Applying the framework to seven plausible flood scenarios, it was found that individual protection has a significant damage-mediating effect if the MOSE barrier does not operate as anticipated. Contingency planning thus remains important in Venice.
Md Jamal Uddin Khan, Fabien Durand, Kerry Emanuel, Yann Krien, Laurent Testut, and A. K. M. Saiful Islam
Nat. Hazards Earth Syst. Sci., 22, 2359–2379, https://doi.org/10.5194/nhess-22-2359-2022, https://doi.org/10.5194/nhess-22-2359-2022, 2022
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Cyclonic storm surges constitute a major threat to lives and properties along the vast coastline of the Bengal delta. From a combination of cyclone and storm surge modelling, we present a robust probabilistic estimate of the storm surge flooding hazard under the current climate. The estimated extreme water levels vary regionally, and the inland flooding is strongly controlled by the embankments. More than 1/10 of the coastal population is currently exposed to 50-year return period flooding.
Hanqing Xu, Zhan Tian, Laixiang Sun, Qinghua Ye, Elisa Ragno, Jeremy Bricker, Ganquan Mao, Jinkai Tan, Jun Wang, Qian Ke, Shuai Wang, and Ralf Toumi
Nat. Hazards Earth Syst. Sci., 22, 2347–2358, https://doi.org/10.5194/nhess-22-2347-2022, https://doi.org/10.5194/nhess-22-2347-2022, 2022
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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.
Tim Willem Bart Leijnse, Alessio Giardino, Kees Nederhoff, and Sofia Caires
Nat. Hazards Earth Syst. Sci., 22, 1863–1891, https://doi.org/10.5194/nhess-22-1863-2022, https://doi.org/10.5194/nhess-22-1863-2022, 2022
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Deriving reliable estimates of design conditions resulting from tropical cyclones is a challenge of high relevance to coastal engineering. Here, having few historical observations is overcome by using the Tropical Cyclone Wind Statistical Estimation Tool (TCWiSE) to create thousands of synthetic realizations, representative of 1000 years of tropical cyclone activity for the Bay of Bengal. The use of synthetic tracks is shown to provide more reliable wind speed, storm surge and wave estimates.
Wei Chen, Joanna Staneva, Sebastian Grayek, Johannes Schulz-Stellenfleth, and Jens Greinert
Nat. Hazards Earth Syst. Sci., 22, 1683–1698, https://doi.org/10.5194/nhess-22-1683-2022, https://doi.org/10.5194/nhess-22-1683-2022, 2022
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This study links the occurrence and persistence of density stratification in the southern North Sea to the increased number of extreme marine heat waves. The study further identified the role of the cold spells at the early stage of a year to the intensity of thermal stratification in summer. In a broader context, the research will have fundamental significance for further discussion of the secondary effects of heat wave events, such as in ecosystems, fisheries, and sediment dynamics.
Raquel P. Felix, Judith A. Hubbard, Kyle E. Bradley, Karen H. Lythgoe, Linlin Li, and Adam D. Switzer
Nat. Hazards Earth Syst. Sci., 22, 1665–1682, https://doi.org/10.5194/nhess-22-1665-2022, https://doi.org/10.5194/nhess-22-1665-2022, 2022
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The Flores Thrust lies along the north coasts of Bali and Lombok. We model how an earthquake on this fault could trigger a tsunami that would impact the regional capital cities of Mataram and Denpasar. We show that for 3–5 m of slip on the fault (a Mw 7.5–7.9+ earthquake), the cities would experience a wave ca. 1.6–2.7 and ca. 0.6–1.4 m high, arriving in < 9 and ca. 23–27 min, respectively. They would also experience subsidence of 20–40 cm, resulting in long-term exposure to coastal hazards.
Keighobad Jafarzadegan, David F. Muñoz, Hamed Moftakhari, Joseph L. Gutenson, Gaurav Savant, and Hamid Moradkhani
Nat. Hazards Earth Syst. Sci., 22, 1419–1435, https://doi.org/10.5194/nhess-22-1419-2022, https://doi.org/10.5194/nhess-22-1419-2022, 2022
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The high population settled in coastal regions and the potential damage imposed by coastal floods highlight the need for improving coastal flood hazard assessment techniques. This study introduces a topography-based approach for rapid estimation of flood hazard areas in the Savannah River delta. Our validation results demonstrate that, besides the high efficiency of the proposed approach, the estimated areas accurately overlap with reference flood maps.
Kenta Tozato, Shinsuke Takase, Shuji Moriguchi, Kenjiro Terada, Yu Otake, Yo Fukutani, Kazuya Nojima, Masaaki Sakuraba, and Hiromu Yokosu
Nat. Hazards Earth Syst. Sci., 22, 1267–1285, https://doi.org/10.5194/nhess-22-1267-2022, https://doi.org/10.5194/nhess-22-1267-2022, 2022
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This study presents a novel framework for rapid tsunami force predictions through the application of mode-decomposition-based surrogate modeling with 2D–3D coupled numerical simulations. A numerical example is presented to demonstrate the applicability of the proposed framework to one of the tsunami-affected areas during the Great East Japan Earthquake of 2011.
Yuchen Wang, Mohammad Heidarzadeh, Kenji Satake, and Gui Hu
Nat. Hazards Earth Syst. Sci., 22, 1073–1082, https://doi.org/10.5194/nhess-22-1073-2022, https://doi.org/10.5194/nhess-22-1073-2022, 2022
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Tsunami waveforms contain the features of its source, propagation path, and local topography. On 4 March 2021, two tsunamis were generated by earthquakes in the Kermadec Islands, New Zealand, within 2 h. This rare case gives us a valuable opportunity to study the characteristics of two tsunamis. We analyzed the records of two tsunamis at tide gauges with spectral analysis tools. It is found that two tsunamis superpose during the few hours after the arrival of the second tsunami.
Shuyun Dong, Wayne J. Stephenson, Sarah Wakes, Zhongyuan Chen, and Jianzhong Ge
Nat. Hazards Earth Syst. Sci., 22, 931–945, https://doi.org/10.5194/nhess-22-931-2022, https://doi.org/10.5194/nhess-22-931-2022, 2022
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Mesoscale simulation provides a general approach that could be implemented to fulfill the purpose of planning and has relatively low requirements for computation time and data while still providing reasonable accuracy. The method is generally applicable to all coastal cities around the world for examining the effect of future climate change on typhoon-generated storm surge even where historical observed data are inadequate or not available.
Chatuphorn Somphong, Anawat Suppasri, Kwanchai Pakoksung, Tsuyoshi Nagasawa, Yuya Narita, Ryunosuke Tawatari, Shohei Iwai, Yukio Mabuchi, Saneiki Fujita, Shuji Moriguchi, Kenjiro Terada, Cipta Athanasius, and Fumihiko Imamura
Nat. Hazards Earth Syst. Sci., 22, 891–907, https://doi.org/10.5194/nhess-22-891-2022, https://doi.org/10.5194/nhess-22-891-2022, 2022
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The majority of past research used hypothesized landslides to simulate tsunamis, but they were still unable to properly explain the observed data. In this study, submarine landslides were simulated by using a slope-failure-theory-based numerical model for the first time. The findings were verified with post-event field observational data. They indicated the potential presence of submarine landslide sources in the southern part of the bay and were consistent with the observational tsunamis.
Lea Uebelhoer, William Koon, Mitchell D. Harley, Jasmin C. Lawes, and Robert W. Brander
Nat. Hazards Earth Syst. Sci., 22, 909–926, https://doi.org/10.5194/nhess-22-909-2022, https://doi.org/10.5194/nhess-22-909-2022, 2022
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Beachgoers at unpatrolled Australian beaches were surveyed to gain an understanding of their demographics, beach safety knowledge, and behaviour. Most visited unpatrolled beaches out of convenience and because they wanted to visit a quiet location. Despite being infrequent beachgoers, with poor swimming and hazard identification skills, most intended to enter the water. Authorities should go beyond the
swim between the flagssafety message, as people will always swim at unpatrolled beaches.
Ryuichi Kanai, Masashi Kamogawa, Toshiyasu Nagao, Alan Smith, and Serge Guillas
Nat. Hazards Earth Syst. Sci., 22, 849–868, https://doi.org/10.5194/nhess-22-849-2022, https://doi.org/10.5194/nhess-22-849-2022, 2022
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The air pressure created by a tsunami causes a depression in the electron density in the ionosphere. The depression is measured at sparsely distributed, moving GPS satellite locations. We provide an estimate of the volume of the depression. When applied to the 2011 Tohoku-Oki earthquake in Japan, our method can warn of a tsunami event within 15 min of the earthquake, even when using only 5 % of the data. Thus satellite-based warnings could be implemented across the world with our approach.
Riccardo Alvise Mel, Teresa Lo Feudo, Massimo Miceli, Salvatore Sinopoli, and Mario Maiolo
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-67, https://doi.org/10.5194/nhess-2022-67, 2022
Manuscript not accepted for further review
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In this work we present a coupled modelling system to compute the wind climate and the hydrodynamic two-dimensional field in coastal areas, with particular reference to the Marine Experimental Station of Capo Tirone (Italy). We combined sea level rise and extreme storm projections with the most recent georeferenced territorial data.
Milla M. Johansson, Jan-Victor Björkqvist, Jani Särkkä, Ulpu Leijala, and Kimmo K. Kahma
Nat. Hazards Earth Syst. Sci., 22, 813–829, https://doi.org/10.5194/nhess-22-813-2022, https://doi.org/10.5194/nhess-22-813-2022, 2022
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We analysed the correlation of sea level and wind waves at a coastal location in the Gulf of Finland using tide gauge data, wave measurements, and wave simulations. The correlation was positive for southwesterly winds and negative for northeasterly winds. Probabilities of high total water levels (sea level + wave crest) are underestimated if sea level and waves are considered independent. Suitably chosen copula functions can account for the dependence.
Jairo E. Cueto, Luis J. Otero Díaz, Silvio R. Ospino-Ortiz, and Alec Torres-Freyermuth
Nat. Hazards Earth Syst. Sci., 22, 713–728, https://doi.org/10.5194/nhess-22-713-2022, https://doi.org/10.5194/nhess-22-713-2022, 2022
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We investigate the importance of morphodynamics on flooding estimation during storms with sea level rise conditions on a microtidal beach. XBeach and SWAN were the numerical models used to test several case studies. The results indicate that numerical modeling of flooding should be approached by considering morphodynamics; ignoring them can underestimate flooding by ~ 15 %. Moreover, beach erosion and flooding are intensified by sea level rise and high tides in ~ 69 % and ~ 65 %, respectively.
Matthew W. Hayward, Colin N. Whittaker, Emily M. Lane, William L. Power, Stéphane Popinet, and James D. L. White
Nat. Hazards Earth Syst. Sci., 22, 617–637, https://doi.org/10.5194/nhess-22-617-2022, https://doi.org/10.5194/nhess-22-617-2022, 2022
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Volcanic eruptions can produce tsunamis through multiple mechanisms. We present validation cases for a numerical method used in simulating waves caused by submarine explosions: a laboratory flume experiment and waves generated by explosions at field scale. We then demonstrate the use of the scheme for simulating analogous volcanic eruptions, illustrating the resulting wavefield. We show that this scheme models such dispersive sources more proficiently than standard tsunami models.
Ario Muhammad, Katsuichiro Goda, and Maximilian J. Werner
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-59, https://doi.org/10.5194/nhess-2022-59, 2022
Revised manuscript has not been submitted
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This study develops a novel framework of time-dependent (TD) probabilistic tsunami hazard analysis (PTHA) combining a total of ≥ 100,000 spatiotemporal earthquakes (EQ) rupture models and 6,300 probabilistic tsunami simulations to evaluate the tsunami hazards and compare them with the time-independent (TI) PTHA results. The proposed model can capture the uncertainty of future TD tsunami hazards and produces slightly higher hazard estimates than the TI model for short-term periods (< 30 years).
Ryota Wada, Jeremy Rohmer, Yann Krien, and Philip Jonathan
Nat. Hazards Earth Syst. Sci., 22, 431–444, https://doi.org/10.5194/nhess-22-431-2022, https://doi.org/10.5194/nhess-22-431-2022, 2022
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Characterizing extreme wave environments caused by tropical cyclones in the Caribbean Sea near Guadeloupe is difficult because cyclones rarely pass near the location of interest. STM-E (space-time maxima and exposure) model utilizes wave data during cyclones on a spatial neighbourhood. Long-duration wave data generated from a database of synthetic tropical cyclones are used to evaluate the performance of STM-E. Results indicate STM-E provides estimates with small bias and realistic uncertainty.
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.
Sunna Kupfer, Sara Santamaria-Aguilar, Lara van Niekerk, Melanie Lück-Vogel, and Athanasios T. Vafeidis
Nat. Hazards Earth Syst. Sci., 22, 187–205, https://doi.org/10.5194/nhess-22-187-2022, https://doi.org/10.5194/nhess-22-187-2022, 2022
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In coastal regions, flooding can occur from combined tides, storms, river discharge, and waves. Effects of waves are commonly neglected when assessing flooding, although these may strongly contribute to extreme water levels. We find that waves combined with tides and river discharge at Breede Estuary, South Africa, increased flood extent and depth and caused earlier flooding than when waves were neglected. This highlights the need to consider all major flood drivers in future flood assessments.
Xin Liu, Insa Meinke, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 22, 97–116, https://doi.org/10.5194/nhess-22-97-2022, https://doi.org/10.5194/nhess-22-97-2022, 2022
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Storm surges represent a threat to low-lying coastal areas. In the aftermath of severe events, it is often discussed whether the events were unusual. Such information is not readily available from observations but needs contextualization with long-term statistics. An approach that provides such information in near real time was developed and implemented for the German coast. It is shown that information useful for public and scientific debates can be provided in near real time.
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.
Changbin Lim, Tae Kon Kim, Sahong Lee, Yoon Jeong Yeon, and Jung Lyul Lee
Nat. Hazards Earth Syst. Sci., 21, 3827–3842, https://doi.org/10.5194/nhess-21-3827-2021, https://doi.org/10.5194/nhess-21-3827-2021, 2021
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This study aimed to quantitatively assess erosion risk. Methods for assessing each potential were proposed, and the corresponding erosion risk was calculated by introducing a combined potential erosion risk curve presenting the erosion consequence. In addition the method for verifying the risk was examined for the east coast of South Korea. We believe that our study makes a significant contribution to the literature and plays a key role in identifying methods that prevent erosion.
Gaia Mattei, Diana Di Luccio, Guido Benassai, Giorgio Anfuso, Giorgio Budillon, and Pietro Aucelli
Nat. Hazards Earth Syst. Sci., 21, 3809–3825, https://doi.org/10.5194/nhess-21-3809-2021, https://doi.org/10.5194/nhess-21-3809-2021, 2021
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This study examines the characteristics of a destructive marine storm in the strongly inhabited coastal area of the Gulf of Naples, along the Italian coast of the Tyrrhenian Sea, which is highly vulnerable to marine storms due to the accelerated relative sea level rise trend and the increased anthropogenic impact on the coastal area. Finally, a first assessment of the return period of this event was evaluated using local press reports on damage to urban furniture and port infrastructures.
Dimitra M. Salmanidou, Joakim Beck, Peter Pazak, and Serge Guillas
Nat. Hazards Earth Syst. Sci., 21, 3789–3807, https://doi.org/10.5194/nhess-21-3789-2021, https://doi.org/10.5194/nhess-21-3789-2021, 2021
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The potential of large-magnitude earthquakes in Cascadia poses a significant threat over a populous region of North America. We use statistical emulation to assess the probabilistic tsunami hazard from such events in the region of the city of Victoria, British Columbia. The emulators are built following a sequential design approach for information gain over the input space. To predict the hazard at coastal locations of the region, two families of potential seabed deformation are considered.
Tom Howard and Simon David Paul Williams
Nat. Hazards Earth Syst. Sci., 21, 3693–3712, https://doi.org/10.5194/nhess-21-3693-2021, https://doi.org/10.5194/nhess-21-3693-2021, 2021
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We use a computer model to simulate storm surges around the coast of the United Kingdom. The model is based on the physics of the atmosphere and oceans. We hope that this will help us to better quantify extreme events: even bigger than those that have been seen in the tide gauge record. Our model simulates events which are comparable to the catastrophic 1953 storm surge. Model simulations have the potential to reduce the uncertainty in inferences of the most extreme surge return levels.
Cited articles
Aguiar, L. S., Amaro, V. E., Araújo, P. V. N., and Santos, A. L. S.:
Geotecnologias de Baixo Custo Aplicadas à Avaliação de Risco por
Inundação em Áreas Urbanas Costeiras em Cenários de
Mudanças Climáticas, Anuário do Instituto de Geociências –
UFRJ, 42, 267–290, https://doi.org/10.11137/2019_1_267_290, 2019.
Amaro, V. E., Santos, M. S. T., and Souto, M. V. S.: Geotecnologias Aplicadas ao
Monitoramento Costeiro: Sensoriamento Remoto e Geodésia de Precisão,
1st Ed., Edição dos Autores, Natal, RN, 118 pp., 2012.
ANA – Agência Nacional das Águas: Plano de recursos hídricos da
bacia hidrográfica do rio Piancó-Piranhas-Açu, Brasília-DF,
167 pp., available at: http://piranhasacu.ana.gov.br/produtos/PRH_PiancoPiranhasAcu_ResumoExecutivo_30062016.pdf
(last access: 25 June 2019), 2016.
Araújo, P. V. N., Amaro, V. E.; Alcoforado, A. V. C., and Santos, A. L.
S.: Acurácia Vertical e Calibração de Modelos Digitais de
Elevação (MDEs) para a Bacia Hidrográfica Piranhas-Açú,
Rio Grande do Norte, Brasil, Anuário do Instituto de Geociências –
UFRJ, 41, 351–364, https://doi.org/10.11137/2018_1_351_364, 2018.
Araújo, P. V. N., Amaro, V. E., Silva, R. M., and Lopes, A. B.: Delimitation of flood areas based on a calibrated a DEM and geoprocessing: case study on the Uruguay River, Itaqui, southern Brazil, Nat. Hazards Earth Syst. Sci., 19, 237–250, https://doi.org/10.5194/nhess-19-237-2019, 2019.
Bamber, J. L., Oppenheimer, M., Kopp, R. E., Aspinall, W. P., and Cookeh, R.
M.: Ice sheet contributions to future sea-level rise from structured expert
judgment, P. Natl. Acad. Sci. USA, 116, 11195–11200,
https://doi.org/10.1073/pnas.1817205116, 2019.
Barbosa, M. E. F., Boski, T., Bezerra, F. H. R., Gomes, M. P., Lima-Filho,
F. P., Pereira, L. C., and Maia, R. P.: Late Quaternary infilling of the
Assu River embayment and related sea level changes in NE Brazil, Mar.
Geol., 405, 23–37, https://doi.org/10.1016/j.margeo.2018.07.014, 2018a.
Barbosa, M. E. F., Bezerra, F. H. R., Boski, T., Lima-Filho, F. P., and
Valdevino, D. S.: Padrões geomorfológicos na região estuarina do
Rio Assu, NE – Brasil, Revista Brasileira de Geomorfologia, 19, 525–545,
https://doi.org/10.20502/rbg.v19i3.1208, 2018b.
Boori, M. S., Amaro, V. E., and Targino, A.: Coastal risk assessment and
adaptation of the impact of sea-level rise, climate change and hazards: A RS
and GIS based approach in Apodi-Mossoró estuary, Northeast Brazil,
International Journal of Geomatics and Geosciences, 2, 815–832, 2012.
Brasil: Plano Nacional de Adaptação à Mudança do Clima,
estratégias setoriais e temáticas, Ministério do Meio Ambiente,
Brasília-DF, v.2, 295 pp., available at:
https://www.mma.gov.br/images/arquivo/80182/LIVRO_PNA_ Plano Nacional_V2_copy_copy.pdf (last access: 12 April 2019), 2016.
Busman, D. V., Amaro, V. E., and Souza-Filho, P. W. M.: Análise
Estatística Multivariada de Métodos de Vulnerabilidade Física
em Zonas Costeiras Tropicais, Revista Brasileira de Geomorfologia, 17,
499–516, https://doi.org/10.20502/rbg.v17i3.912, 2016.
Castro, B. M., Brandini, F. P., Wainer, I. E. K. C., and Dottori, M.: O mar
de amanhã, com as mudanças climáticas de hoje, Ciência e
Cultura, 62, 40–42, available at:
http://cienciaecultura.bvs.br/pdf/cic/v62n3/a16v62n3.pdf (last access: 11 November 2019), 2010.
CHM – Centro de Hidrografia da Marinha, Marinha do Brasil: Sondagem
batimétrica, available at:
https://www.marinha.mil.br/chm/dados-do-segnav-lev-hidro/sondagem-batimetrica,
last access: 20 April 2019a.
CHM – Centro de Hidrografia da Marinha. Marinha do Brasil. Maregrafia e
fluviometria. available at:
https://www.marinha.mil.br/chm/dados-do-segnav-lev-hidro/maregrafia-e-fluviometria,
last access: 20 April 2019b.
Costa, L. R. F., Maia, R. P., Barreto, L. L., and Sales, V. C. C.:
Geomorfologia do nordeste setentrional brasileiro: uma proposta de
classificação, Revista Brasileira de Geomorfologia, 21, 185–208,
https://doi.org/10.20502/rbg.v21i1.1447, 2020.
Dahl, K. A., Fitzpatrick, M. F., and Spanger-Siegfried, E.: Sea level rise
drives increased tidal flooding frequency at tide gauges along the U.S. East
and Gulf Coasts: Projections for 2030 and 2045, PLoS ONE, 12, e0170949,
https://doi.org/10.1371/journal.pone.0170949, 2017.
Church, J. A., Clark, P. U., Cazenave, A., Gregory, J. M., Jevrejeva, S., Levermann, A., Merrifield, M. A., Milne, G. A., Nerem, R. S., Nunn, P. D., Payne, A. J., Pfeffer, W. T., Stammer, D., and Unnikrishnan, A. S.: Sea level change, in: Climate Change 2013: The Physical Science Basis. Contribution of
Working Group 1 to the Fifth Assessment Report of the Intergovernmental
Panel on Climate Change, edited by:
Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge, England and New York,
NY: Cambridge University Press, 1137–1216, 2013.
Dangendorf, S., Hay, C., Calafat, F. M., Marcos, M., Piecuch, C. G., Berk,
K., and Jensen, J.: Persistent acceleration in global sea-level rise since
the 1960s, Nat. Clim. Change, 9, 705–710,
https://doi.org/10.1038/s41558-019-0531-8, 2019.
DHN – Diretoria de Hidrografia e Navegação: Tábuas de marés,
available at: https://www.marinha.mil.br/chm/tabuas-de-mare, last access: 3 January 2018.
Diniz, C. H. G., Amaro, V. E., Prudêncio, M. C., and Felipe R. F.:
Representação Tridimensional de Processos de Erosão Costeira em
Ilhas Barreiras Utilizando Tecnologia de Jogos, Anuário do Instituto de
Geociências – UFRJ, 40, 147–158,
https://doi.org/10.11137/2017_3_147_158, 2017.
Diniz, M. T. M. and Pereira, V. H. C.: Climatologia do Estado do Rio Grande
do Norte, Brasil: sistemas atmosféricos atuantes e mapeamento de tipos
de clima, Boletim Goiano de Geografia, 35, 488–506,
https://doi.org/10.5216/bgg.v35i3.38839, 2015.
Dwarakisha, G. S., Vinaya, S. A., Natesanb, U., Asanoc, T., Kakinumac, T.,
Venkataramanad, K., Paia, B. J., and Babitaa, M. K.: Coastal vulnerability
assessment of the future sea level rise in Udupi coastal zone of Karnataka
state, west coast of India, Ocean Coast. Manage., 52, 467–478,
https://doi.org/10.1016/j.ocecoaman.2009.07.007, 2009.
Easterling, D. R., Meehl, G. A., Parmesan, C., Changnon, S. A., Karl, T. R.,
and Mearns, L. O.: Climate Extremes: Observations, Modeling, and Impacts,
Science, 289, 2068–2074, https://doi.org/10.1126/science.289.5487.2068,
2000.
Frota, F. F., Truccolo, E. C., and Schettini, C. A. F.: Tidal and sub-tidal
sea level variability at the northern shelf of the Brazilian Northeast
Region, Anais da Academia Brasileira de Ciências, 88, 1371–1386,
https://doi.org/10.1590/0001-3765201620150162, 2016.
Gilleland, E. and Katz, R. W.: extRemes 2.0: An Extreme Value Analysis
Package in R, J. Stat. Softw., 72, 1–39,
https://doi.org/10.18637/jss.v072.i08, 2016.
Grigio, A. M., Castro, A. F., Souto, M. V. S., Amaro, V. E., Vital, H., and
Diodato, M. A.: Use of remoting sensing and geographical information system
in the determination of the natural and environmental vulnerability of the
Municipal District of Guamaré – Rio Grande do Norte – Northeast of
Brazil, J. Coastal. Res., Special Issue, 1427–1431,
https://www.jstor.org/stable/25742990 (last access: 22 December 2019), 2006.
Gumbel, E. J.: Statistics of extremes, Columbia University Press, New York,
375 pp., 1958.
Herdman, L., Erikson, L., and Barnard, P.: Storm Surge Propagation and
Flooding in Small Tidal Rivers during Events of Mixed Coastal and Fluvial
Influence, Journal of Marine Science and Engineering, 6, 158,
https://doi.org/10.3390/jmse6040158, 2018.
IBGE – Instituto Brasileiro de Geografia e Estatística: Análise do
Nível Médio do Mar nas Estações da Rede Maregráfica
Permanente para Geodésia – RMPG 2001/2015, Diretoria de
Geociências, Coordenação de Geodésia, Rio de Janeiro, 65 pp., available at: ftp://geoftp.ibge.gov.br/informacoes_sobre_posicionamento_geodesico/rmpg/relatorio/relatorio_RMPG_2001_2015_GRRV.pdf (last access: 25 June 2019), 2016.
IDEMA – Instituto de Desenvolvimento Sustentável e Meio Ambiente:
Informações dos municipios de Mossoró, Grossos e Tibau, v. 24,
1–24, 1999.
IDEMA – Instituto de Desenvolvimento Sustentável e Meio Ambiente:
Projeto de Zoneamento Ecológico-Econômico dos Estuários do Rio
Grande do Norte – ZEE/RN, Natal-RN, 35 pp., 2005.
IPCC: Climate Change 2014: Synthesis Report, Contribution of Working Groups
I, II and III to the Fifth Assessment Report of the Intergovernmental Panel
on Climate Change (IPCC), Geneva, Switzerland, 151 pp., 2014.
IPCC: Climate Change and Land: an IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems, edited by: Shukla, P. R., Skea, J., Calvo Buendia, E., Masson-Delmotte, V., Pörtner, H.-O., Roberts, D. C., Zhai, P., Slade, R., Connors, S., van Diemen, R., Ferrat, M., Haughey, E., Luz, S., Neogi, S., Pathak, M., Petzold, J., Portugal
Pereira, J., Vyas, P., Huntley, E., Kissick, K., Belkacemi, M., and Malley, J., in press, available at: https://www.ipcc.ch/site/assets/uploads/2019/11/SRCCL-Full-Report-Compiled-191128.pdf (last access: 26 January 2020), 2019.
Jensen, J. R.: Sensoriamento Remoto do Ambiente: Uma Perspectiva em
Recursos Terrestres, Tradução da Segunda Edição,
Parêntese Editora, São José dos Campos, 598 pp., 2009.
Kendall, M. G.: Rank Correlation Methods, Charles Griffin, London, 1975.
Kulp, S. and Strauss, B. H.: New elevation data triple estimates of global
vulnerability to sea-level rise and coastal flooding, Nat. Commun.,
10, 4844, https://doi.org/10.1038/s41467-019-12808-z, 2019.
Mann, H. B.: Nonparametric tests against trend, Econometrica, 13, 245–259,
https://doi.org/10.2307/1907187, 1945.
Matos, A. C. O. C.: Implementação de Modelos Digitais de Terreno
para Aplicações na Área de Geodésia e Geofísica na
América do Sul, PhD theses, Postgraduate Program in Transport
Engineering, Federal University of Sao Paulo, 335 pp.,
https://doi.org/10.11606/T.3.2005.tde-10102005-104155, 2005.
Matos, M. F. A., Amaro, V. E., Scudelari, A. C., and Bezerra, A. C. N.:
Análises estatísticas de alturas significativas de ondas de
série temporal de curto prazo na costa do Rio Grande do Norte, Pesquisas
em Geociências, 46, e0731, https://doi.org/10.22456/1807-9806.93246,
2019.
McGranahan, G., Balk, D., and Anderson, B.: The rising tide: assessing the
risks of climate change and human settlements in low elevation coastal
zones, Environ. Urban., 19, 17–37,
https://doi.org/10.1177/0956247807076960, 2007.
Medeiros, M. D.: Eventos hidroclimáticos extremos e vulnerabilidade
socioambiental a inundações no Baixo-Açu – RN, PhD thesis,
Postgraduate Program in Geography, Federal University of Ceara, Brazil, 209 pp., available at: http://www.repositorio.ufc.br/handle/riufc/35674 (last
access: 22 December 2019), 2018.
Medeiros, M. D. and Zanella, M. E.: Estudo das vazões e estimativas de
inundações no Baixo-Açu-RN, Geo UERJ, 40946, 1–30,
https://doi.org/10.12957/geouerj.2019.40946, 2019.
Murray, N. J., Phinn, S. R., DeWitt, M., Ferrari, R., Johnston, R., Lyons,
M, B., Clinton, N., Thau, D., and Fuller, R. A.: The global distribution and
trajectory of tidal flats, Nature, 565, 222–225,
https://doi.org/10.1038/s41586-018-0805-8, 2019.
Nerem, R. S., Beckley, B. D., Fasullo, J. T., Hamlington, B. D., Masters, D.,
and Mitchum, G. T.: Climate-change-driven accelerated sea-level rise
detected in the altimeter era, P. Natl. Acad. Sci. USA, 115,
2022–2025, https://doi.org/10.1073/pnas.1717312115, 2018.
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, e0131375,
https://doi.org/10.1371/journal.pone.0131375, 2015.
Nicholls, R. J. and Cazenave, A.: Sea-level rise and its impact on coastal
zones, Science, 328, 1517–1520, https://doi.org/10.1126/science.1185782,
2010.
Nicholls, R. J., Wong, P. P., Burkett, V., Codignotto, J., Hay, J., McLean,
R., Ragoonaden, S., Woodroffe, C. D., Abuodha, P. A. O., Arblaster, J.,
Brown, B., Forbes, D., Hall, J., Kovats, S., Lowe, J., McInnes, K., Moser,
S., Rupp-Armstrong, S., and Saito, Y.: Coastal systems and low-lying areas,
in: Climate change 2007: impacts, adaptation and vulnerability. Contribution
of Working Group II to the fourth assessment report of the Intergovernmental
Panel on Climate Change, edited by: Parry, M. L., Canziani, O. F.,
Palutikof, J. P., van der Linden, P. J., and Hanson, C. E., Cambridge, UK,
Cambridge University Press, 315–356, available at:
http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1192&context=scipapers
(last access: 22 December 2019), 2007.
Nicholls, R. J., Hanson, S. E., Lowe, J. A., Warrick, R. A., Lu, X., Long,
A. J., and Carter, T. R.: Constructing Sea-Level Scenarios for Impact and
Adaptation Assessment of Coastal Areas: A Guidance Document. Technical
Guidelines of the Task Group on Data and Scenario Support for Impact and
Climate Analysis (TGICA) of the Intergovernmental Panel on Climate Change
(IPCC), 64 pp., available at:
https://www.ipcc-data.org/docs/Sea_Level_Scenario_Guidance_Oct2011.pdf (last access: 5 December 2019), 2011.
NOAA – National Oceanic and Atmospheric Administration: 2018 State of U.S.
High Tide Flooding with a 2019 Outlook, NOAA Technical Report NOS CO-OPS
090, Silver Spring, Maryland, 31 pp., available at:
https://repository.library.noaa.gov/view/noaa/20691 (last access: 9 November 2019), 2019.
Oppenheimer, M., Glavovic, B. C., Hinkel, J., van de Wal, R., Magnan, A. K., Abd-Elgawad, A., Cai, R., Cifuentes-Jara, M., DeConto, R. M., Ghosh, T., Hay, J., Isla, F., Marzeion, B., Meyssignac, B., and Sebesvari, Z.: Sea Level Rise and Implications for Low-Lying Islands, Coasts and Communities, in: IPCC Special Report on the Ocean and Cryosphere in a Changing Climateedited by: Pörtner, H.-O., Roberts, D. C., Masson-Delmotte, V., Zhai, P., Tignor, M., Poloczanska, E., Mintenbeck, K., Alegría, A., Nicolai, M., Okem, A., Petzold, J., Rama, B., and Weyer, N. M., in press, available at: https://www.ipcc.ch/srocc/chapter/chapter-4-sea-level-rise-and-implications-for-low-lying-islands-coasts-and-communities/ (last access: 26 January 2020), 2019.
PBMC – Painel Brasileiro de Mudanças Climáticas: Impactos,
vulnerabilidades e adaptação às mudanças climáticas,
Contribuição do Grupo de Trabalho 2 do Painel Brasileiro de
Mudanças Climáticas ao Primeiro Relatório da Avaliação
Nacional sobre Mudanças Climáticas, edited by: Assad, E. D. and
Magalhães, A. R., COPPE, Federal University of Rio de Janeiro, Rio de
Janeiro, RJ, Brazil, 414 pp., available at:
http://www.pbmc.coppe.ufrj.br/documentos/RAN1_completo_vol2.pdf (last access: 10 October 2019), 2014.
Pugh, D. T.: Tides, surges and mean sea level: a handbook for Engineers and
Scientists, John Wiley & Sons Ltd., New York, available at:
https://eprints.soton.ac.uk/19157/1/sea-level.pdf (last access: 22 December 2019), 1987.
R Development Core Team: R: A language and environment for statistical
computing, R Foundation for Statistical Computing, Vienna, Austria,
available at: http://www.R-project.org/, last access: 28 February 2020.
Ramos, A. M. and Krueger, C. P.: Aplicação de reduções
batimétricas GPS em levantamentos hidrográficos, Boletim de Ciencias
Geodesicas, 15, 615–635, available at:
https://revistas.ufpr.br/bcg/article/view/16284/10775 (last access: 22 December 2019), 2009.
Schröter, K., Lüdtke, S., Redweik, R., Meier, J., Bochow, M., Ross,
L., Nage, C., and Kreibich, H.: Flood loss estimation using 3D city models
and remote sensing data, Environ. Modell. Softw., 105, 118-131,
https://doi.org/10.1016/j.envsoft.2018.03.032, 2018.
Santos, M. S. T. and Amaro, V. E.: Dinâmica sazonal de processos
costeiros e estuarinos em sistema de praias arenosas e ilhas barreira no
nordeste do Brasil, Revista Brasileira de Geomorfologia, 14, 151–162,
https://doi.org/10.20502/rbg.v14i2.298, 2013.
SMC-Brasil: Níveis e cota de inundação, Documento temático,
Ministério do Meio Ambiente, Brasília-DF, 130 pp.,
available at: https://www.mma.gov.br/images/arquivo/80342/Livro_SMC_4___Niveis_e_Cota_de_inundacao.pdf (last access: 16 November 2019), 2018.
Taherkhani, M., Vitousek, S., Barnard P. L., Frazer, N., Anderson, T. R., and
Fletcher, C. H.: Sea-level rise exponentially increases coastal flood
frequency, Sci. Rep.-UK, 10, 6466,
https://doi.org/10.1038/s41598-020-62188-4, 2020.
UNDP – United Nations Development Programme: Reducing Disaster Risk: A
Challenge for development, A global report, 169 pp., available at:
http://www.planat.ch/fileadmin/PLANAT/planat_pdf/alle_2012/2001-2005/Pelling__Maskrey_et_al_2004_-_Reducing_Disaster_Risk.pdf (last access: 4 December 2019), 2004.
Vital, H., Silveira, I. M., Tabosa, W. F., Lima, Z. M. C., Lima-Filho, F. P., Souza, F. E. S., Chaves, M. S., and Pimenta, F. M.: Beaches of Rio Grande do Norte, in: Brazilian Beach Systems, Coastal Research Library, edited by: Short A. and Klein A., vol. 17. Springer, Cham, https://doi.org/10.1007/978-3-319-30394-9_8, 2016.
Wisner, B., Gaillard, J. C., and Kelman, I.: Framing disaster: theories and
stories seeking to understand hazards, vulnerabilty and risk, in: The
Routledge Handbook of Hazards and Disaster Risk Reduction, edited by:
Wisner, B., Gaillard, J. C., and Kelman I., London, Routledge, 18–33,
available at:
https://www.routledgehandbooks.com/pdf/doi/10.4324/9780203844236.ch3 (last
access: 7 November 2019), 2011.
Yue, S. and Wang, C.: The Mann–Kendall Test Modified by Effective Sample
Size to Detect Trend in Serially Correlated Hydrological Series, Water
Resour. Manage., 18, 201–218,
https://doi.org/10.1023/B:WARM.0000043140.61082.60, 2004.
Zhang, W., Yan, Y., Zheng, J., Li, L., Dong, X., and Cai, H.: Temporal and
spatial variability of annual extreme water level in the Pearl River Delta
region, China, Global Planet. Change, 69, 35–47,
https://doi.org/10.1016/j.gloplacha.2009.07.003, 2009.
Short summary
The approach of this work is a tidal flood risk mapping methodology for climate change scenarios in a semi-arid region with a strong environmental and social appeal. The study area has been suffering severe consequences from flooding by tides in recent years. High-geodetic-precision data, together with tidal return period statistics and data from current sea level rise scenarios, were used. This case study can serve as a basis for future management actions and as a model to be copied.
The approach of this work is a tidal flood risk mapping methodology for climate change scenarios...
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