Articles | Volume 21, issue 8
https://doi.org/10.5194/nhess-21-2313-2021
© 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-21-2313-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Aug 2021
Research article |
| 06 Aug 2021
| 06 Aug 2021
Characteristics of building fragility curves for seismic and non-seismic tsunamis: case studies of the 2018 Sunda Strait, 2018 Sulawesi–Palu, and 2004 Indian Ocean tsunamis
Geosciences Montpellier, Montpellier University II, Montpellier, France
Ioanna Ioannou
CORRESPONDING AUTHOR
Department of Civil, Environmental & Geomatic Engineering, University College London, United Kingdom
Anawat Suppasri
International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
Kwanchai Pakoksung
International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
Ryan Paulik
National Institute of Water and Atmospheric Research (NIWA), Wellington, New Zealand
Syamsidik Syamsidik
Tsunami and Disaster Mitigation Research Center (TDMRC), Universitas Syiah Kuala, Banda Aceh, Indonesia
Frederic Bouchette
Geosciences Montpellier, Montpellier University II, Montpellier, France
Fumihiko Imamura
International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
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Kenta Tozato, Shuji Moriguchi, Shinsuke Takase, Yu Otake, Michael R. Motley, Anawat Suppasri, and Kenjiro Terada
Nat. Hazards Earth Syst. Sci., 23, 1891–1909, https://doi.org/10.5194/nhess-23-1891-2023, https://doi.org/10.5194/nhess-23-1891-2023, 2023
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This study presents a framework that efficiently investigates the optimal placement of facilities probabilistically based on advanced numerical simulation. Surrogate models for the numerical simulation are constructed using a mode decomposition technique. Monte Carlo simulations using the surrogate models are performed to evaluate failure probabilities. Using the results of the Monte Carlo simulations and the genetic algorithm, optimal placements can be investigated probabilistically.
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.
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.
Constance Ting Chua, Adam D. Switzer, Anawat Suppasri, Linlin Li, Kwanchai Pakoksung, David Lallemant, Susanna F. Jenkins, Ingrid Charvet, Terence Chua, Amanda Cheong, and Nigel Winspear
Nat. Hazards Earth Syst. Sci., 21, 1887–1908, https://doi.org/10.5194/nhess-21-1887-2021, https://doi.org/10.5194/nhess-21-1887-2021, 2021
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Port industries are extremely vulnerable to coastal hazards such as tsunamis. Despite their pivotal role in local and global economies, there has been little attention paid to tsunami impacts on port industries. For the first time, tsunami damage data are being extensively collected for port structures and catalogued into a database. The study also provides fragility curves which describe the probability of damage exceedance for different port industries given different tsunami intensities.
Ryota Masaya, Anawat Suppasri, Kei Yamashita, Fumihiko Imamura, Chris Gouramanis, and Natt Leelawat
Nat. Hazards Earth Syst. Sci., 20, 2823–2841, https://doi.org/10.5194/nhess-20-2823-2020, https://doi.org/10.5194/nhess-20-2823-2020, 2020
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This study examines the sediment transport during the 2004 Indian Ocean tsunami event on Phra Thong Island, Thailand. We use numerical simulations and sediment transportation models, and our modelling approach confirms that the beaches were significantly eroded predominantly during the first backwash phase. Although 2004 tsunami deposits are found on the island, we demonstrate that most of the sediment was deposited in the shallow coastal area, facilitating quick recovery of the beach.
Syamsidik, Benazir, Mumtaz Luthfi, Anawat Suppasri, and Louise K. Comfort
Nat. Hazards Earth Syst. Sci., 20, 549–565, https://doi.org/10.5194/nhess-20-549-2020, https://doi.org/10.5194/nhess-20-549-2020, 2020
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On 22 December 2018, a tsunami was generated from the Mount Anak Krakatau area that was caused by volcanic flank failures. The tsunami had severe impacts on the western coasts of Banten and the southern coasts of Lampung in Indonesia. A series of surveys to measure the impacts of the tsunami was started 3 d after the tsunami and lasted for 10 d. This paper provides insights from the tsunami-affected area in terms of distribution of tsunami flow depths, boulders and building damage.
James H. Williams, Thomas M. Wilson, Nick Horspool, Ryan Paulik, Liam Wotherspoon, Emily M. Lane, and Matthew W. Hughes
Nat. Hazards Earth Syst. Sci., 20, 451–470, https://doi.org/10.5194/nhess-20-451-2020, https://doi.org/10.5194/nhess-20-451-2020, 2020
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Post-event field survey data from two tsunami events, the 2011 Tōhoku tsunami, Japan, and the 2015 Illapel tsunami, Chile, are used in this study to develop fragility functions for roads and bridges. This study demonstrates the effectiveness of supplementing post-event field surveys with remotely sensed data. The resulting fragility functions address a substantial research gap in tsunami impacts on infrastructure and include a range of subtleties in asset and hazard characteristics.
Anawat Suppasri, Kwanchai Pakoksung, Ingrid Charvet, Constance Ting Chua, Noriyuki Takahashi, Teraphan Ornthammarath, Panon Latcharote, Natt Leelawat, and Fumihiko Imamura
Nat. Hazards Earth Syst. Sci., 19, 1807–1822, https://doi.org/10.5194/nhess-19-1807-2019, https://doi.org/10.5194/nhess-19-1807-2019, 2019
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It is known that fragility functions reflect localities (building design standards and topography) and flow velocity is more important, as damage might occur before flow depth reaches its maximum value. This research demonstrates that it is possible to accurately predict building damage by considering related forces with high accuracy, including resistant force, based on building design standards. This method will be useful for damage assessment in areas that have no experience of tsunamis.
Syamsidik, Musa Al'ala, Hermann M. Fritz, Mirza Fahmi, and Teuku Mudi Hafli
Nat. Hazards Earth Syst. Sci., 19, 1265–1280, https://doi.org/10.5194/nhess-19-1265-2019, https://doi.org/10.5194/nhess-19-1265-2019, 2019
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The use of numerical simulations to study tsunami-induced sediment transport was rare in Indonesia until the 2004 Indian Ocean tsunami. This study aims to couple two hydrodynamic numerical models in order to reproduce tsunami-induced sediment deposits, i.e., their locations and thicknesses. Numerical simulations were performed using the Cornell Multi-grid Coupled Tsunami (COMCOT) model and Delft3D. Lhoong, in the Aceh Besar District, Indonesia, was selected as the study site for this research.
Syamsidik, Tursina, Anawat Suppasri, Musa Al'ala, Mumtaz Luthfi, and Louise K. Comfort
Nat. Hazards Earth Syst. Sci., 19, 299–312, https://doi.org/10.5194/nhess-19-299-2019, https://doi.org/10.5194/nhess-19-299-2019, 2019
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This research aimed to assess the tsunami flow velocity and height reduction produced by a planned elevated road parallel to the coast of Banda Aceh called the Banda Aceh Outer Ring Road (BORR). The Cornell Multi-Grid Coupled Tsunami Model (COMCOT) was used to simulate eight scenarios of the tsunami. One of them was based on the 2004 Indian Ocean tsunami. Two magnitudes of earthquake were used, that is, 8.5 and 9.15 Mw. The elevated road can potentially mitigate the impacts of future tsunamis.
Anawat Suppasri, Kentaro Fukui, Kei Yamashita, Natt Leelawat, Hiroyuki Ohira, and Fumihiko Imamura
Nat. Hazards Earth Syst. Sci., 18, 145–155, https://doi.org/10.5194/nhess-18-145-2018, https://doi.org/10.5194/nhess-18-145-2018, 2018
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We developed fragility functions of aquaculture rafts and eelgrass based on damage data and numerical simulation of the 2011 Great East Japan tsunami. These fragility functions explain damage characteristics of both items against tsunami flow velocity. By understanding these characteristics, damage estimation and loss assessment as well as marine/fishery disaster mitigation plan and management in other areas of the world from future tsunamis can be implemented.
E. Mas, J. Bricker, S. Kure, B. Adriano, C. Yi, A. Suppasri, and S. Koshimura
Nat. Hazards Earth Syst. Sci., 15, 805–816, https://doi.org/10.5194/nhess-15-805-2015, https://doi.org/10.5194/nhess-15-805-2015, 2015
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Super Typhoon Haiyan devastated the Eastern Visayas islands of the Philippines on 8 November 2013. The International Research Institute of Disaster Science (IRIDeS) at Tohoku University in Sendai, Japan, deployed several teams for damage recognition, relief support and collaboration with regard to this event. In this paper, we summarize the rapid damage assessment from satellite imagery conducted days after the event and report on the inundation measurements and damage surveyed in the field.
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Joshua Kiesel, Marvin Lorenz, Marcel König, Ulf Gräwe, and Athanasios T. Vafeidis
Nat. Hazards Earth Syst. Sci., 23, 2961–2985, https://doi.org/10.5194/nhess-23-2961-2023, https://doi.org/10.5194/nhess-23-2961-2023, 2023
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Among the Baltic Sea littoral states, Germany is anticipated to experience considerable damage as a result of increased coastal flooding due to sea-level rise (SLR). Here we apply a new modelling framework to simulate how flooding along the German Baltic Sea coast may change until 2100 if dikes are not upgraded. We find that the study region is highly exposed to flooding, and we emphasise the importance of current plans to update coastal protection in the future.
Zhang Haixia, Cheng Meng, and Fang Weihua
Nat. Hazards Earth Syst. Sci., 23, 2697–2717, https://doi.org/10.5194/nhess-23-2697-2023, https://doi.org/10.5194/nhess-23-2697-2023, 2023
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Simultaneous storm surge and waves can cause great damage due to cascading effects. Quantitative joint probability analysis is critical to determine their optimal protection design values. The joint probability of the surge and wave for the eastern coasts of Leizhou Peninsula and Hainan are estimated with a Gumbel copula based on 62 years of numerically simulated data, and the optimal design values under various joint return periods are derived using the non-linear programming method.
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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.
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Nat. Hazards Earth Syst. Sci., 23, 2475–2504, https://doi.org/10.5194/nhess-23-2475-2023, https://doi.org/10.5194/nhess-23-2475-2023, 2023
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Nat. Hazards Earth Syst. Sci., 23, 2449–2474, https://doi.org/10.5194/nhess-23-2449-2023, https://doi.org/10.5194/nhess-23-2449-2023, 2023
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This study performed analysis on typhoon-induced coastal morphodynamics for the Mokpo coast. Wetland vegetation was severely impacted by Typhoon Soulik, with 87.35 % of shoreline transects experiencing seaward migration. This result highlights the fact that sediment resuspension controls the land alteration process over the typhoon period. The land accretion process dominated during the pre- to post-typhoon periods.
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We studied annual maximum sea levels in the Finnish coastal region. Our aim was to better quantify the uncertainty in them compared to previous studies. Using four statistical models, we found out that hierarchical models, which shared information on sea-level extremes across Finnish tide gauges, had lower uncertainty in their results in comparison with tide-gauge-specific fits. These models also suggested that the shape of the distribution for extreme sea levels is similar on the Finnish coast.
Christian Ferrarin, Florian Pantillon, Silvio Davolio, Marco Bajo, Mario Marcello Miglietta, Elenio Avolio, Diego S. Carrió, Ioannis Pytharoulis, Claudio Sanchez, Platon Patlakas, Juan Jesús González-Alemán, and Emmanouil Flaounas
Nat. Hazards Earth Syst. Sci., 23, 2273–2287, https://doi.org/10.5194/nhess-23-2273-2023, https://doi.org/10.5194/nhess-23-2273-2023, 2023
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The combined use of meteorological and ocean models enabled the analysis of extreme sea conditions driven by Medicane Ianos, which hit the western coast of Greece on 18 September 2020, flooding and damaging the coast. The large spread associated with the ensemble highlighted the high model uncertainty in simulating such an extreme weather event. The different simulations have been used for outlining hazard scenarios that represent a fundamental component of the coastal risk assessment.
Charline Dalinghaus, Giovanni Coco, and Pablo Higuera
Nat. Hazards Earth Syst. Sci., 23, 2157–2169, https://doi.org/10.5194/nhess-23-2157-2023, https://doi.org/10.5194/nhess-23-2157-2023, 2023
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Wave setup is a critical component of coastal flooding. Consequently, understanding and being able to predict wave setup is vital to protect coastal resources and the population living near the shore. Here, we applied machine learning to improve the accuracy of present predictors of wave setup. The results show that the new predictors outperform existing formulas demonstrating the capability of machine learning models to provide a physically sound description of wave setup.
Leigh Richard MacPherson, Arne Arns, Svenja Fischer, Fernando J. Méndez, and Jürgen Jensen
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Efficient adaptation planning to coastal flooding caused by extreme sea levels requires accurate assessments of the underlying hazard. Tide-gauge data alone is 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.
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Nat. Hazards Earth Syst. Sci., 23, 2053–2073, https://doi.org/10.5194/nhess-23-2053-2023, https://doi.org/10.5194/nhess-23-2053-2023, 2023
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Rogue waves exceed twice the significant wave height. They occur more often than expected in the shallow waters off Norderney. When applying a nonlinear Fourier transform for the Korteweg–de Vries equation to wave data from Norderney, we found differences in the soliton spectra of time series with and without rogue waves. A strongly outstanding soliton in the spectrum indicated an enhanced probability for rogue waves. We could attribute spectral solitons to the measured rogue waves.
Philipp Heinrich, Stefan Hagemann, Ralf Weisse, Corinna Schrum, Ute Daewel, and Lidia Gaslikova
Nat. Hazards Earth Syst. Sci., 23, 1967–1985, https://doi.org/10.5194/nhess-23-1967-2023, https://doi.org/10.5194/nhess-23-1967-2023, 2023
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High seawater levels co-occurring with high river discharges have the potential to cause destructive flooding. For the past decades, the number of such compound events was larger than expected by pure chance for most of the west-facing coasts in Europe. Additionally rivers with smaller catchments showed higher numbers. In most cases, such events were associated with a large-scale weather pattern characterized by westerly winds and strong rainfall.
Alexander Böhme, Birgit Gerkensmeier, Benedikt Bratz, Clemens Krautwald, Olaf Müller, Nils Goseberg, and Gabriele Gönnert
Nat. Hazards Earth Syst. Sci., 23, 1947–1966, https://doi.org/10.5194/nhess-23-1947-2023, https://doi.org/10.5194/nhess-23-1947-2023, 2023
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External surges in the North Sea are caused by low-pressure cells travelling over the northeast Atlantic. They influence extreme water levels on the German coast and have to be considered in the design process of coastal defence structures. This study collects data about external surges from 1995–2020 and analyses their causes, behaviours and potential trends. External surges often occur less than 72 h apart, enabling a single storm surge to be influenced by more than one external surge.
Kenta Tozato, Shuji Moriguchi, Shinsuke Takase, Yu Otake, Michael R. Motley, Anawat Suppasri, and Kenjiro Terada
Nat. Hazards Earth Syst. Sci., 23, 1891–1909, https://doi.org/10.5194/nhess-23-1891-2023, https://doi.org/10.5194/nhess-23-1891-2023, 2023
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This study presents a framework that efficiently investigates the optimal placement of facilities probabilistically based on advanced numerical simulation. Surrogate models for the numerical simulation are constructed using a mode decomposition technique. Monte Carlo simulations using the surrogate models are performed to evaluate failure probabilities. Using the results of the Monte Carlo simulations and the genetic algorithm, optimal placements can be investigated probabilistically.
Job C. M. Dullaart, Sanne Muis, Hans de Moel, Philip J. Ward, Dirk Eilander, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 23, 1847–1862, https://doi.org/10.5194/nhess-23-1847-2023, https://doi.org/10.5194/nhess-23-1847-2023, 2023
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Coastal flooding is driven by storm surges and high tides and can be devastating. To gain an understanding of the threat posed by coastal flooding and to identify areas that are especially at risk, now and in the future, it is crucial to accurately model coastal inundation and assess the coastal flood hazard. Here, we present a global dataset with hydrographs that represent the typical evolution of an extreme sea level. These can be used to model coastal inundation more accurately.
Elin Andrée, Jian Su, Morten Andreas Dahl Larsen, Martin Drews, Martin Stendel, and Kristine Skovgaard Madsen
Nat. Hazards Earth Syst. Sci., 23, 1817–1834, https://doi.org/10.5194/nhess-23-1817-2023, https://doi.org/10.5194/nhess-23-1817-2023, 2023
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When natural processes interact, they may compound each other. The combined effect can amplify extreme sea levels, such as when a storm occurs at a time when the water level is already higher than usual. We used numerical modelling of a record-breaking storm surge in 1872 to show that other prior sea-level conditions could have further worsened the outcome. Our research highlights the need to consider the physical context of extreme sea levels in measures to reduce coastal flood risk.
Anne Margaret H. Smiley, Suzanne P. Thompson, Nathan S. Hall, and Michael F. Piehler
EGUsphere, https://doi.org/10.5194/egusphere-2023-292, https://doi.org/10.5194/egusphere-2023-292, 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.
Ekaterina Didenkulova, Ira Didenkulova, and Igor Medvedev
Nat. Hazards Earth Syst. Sci., 23, 1653–1663, https://doi.org/10.5194/nhess-23-1653-2023, https://doi.org/10.5194/nhess-23-1653-2023, 2023
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The paper is dedicated to freak wave accidents which happened in the world ocean in 2005–2021 and that were described in mass media sources. The database accounts for 429 events, all of which resulted in ship or coastal and offshore structure damage and/or human losses. In agreement with each freak wave event, we put background wave and wind conditions extracted from the climate reanalysis ERA5. We analyse their statistics and discuss the favourable conditions for freak wave occurrence.
Havu Pellikka, Milla M. Johansson, Maaria Nordman, and Kimmo Ruosteenoja
Nat. Hazards Earth Syst. Sci., 23, 1613–1630, https://doi.org/10.5194/nhess-23-1613-2023, https://doi.org/10.5194/nhess-23-1613-2023, 2023
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We explore the rate of past and future sea level rise at the Finnish coast, northeastern Baltic Sea, in 1901–2100. For this analysis, we use tide gauge observations, modelling results, and a probabilistic method to combine information from several sea level rise projections. We provide projections of local mean sea level by 2100 as probability distributions. The results can be used in adaptation planning in various sectors with different risk tolerance, e.g. land use planning or nuclear safety.
Carlos Corela, Afonso Loureiro, José Luis Duarte, Luis Matias, Tiago Rebelo, and Tiago Bartolomeu
Nat. Hazards Earth Syst. Sci., 23, 1433–1451, https://doi.org/10.5194/nhess-23-1433-2023, https://doi.org/10.5194/nhess-23-1433-2023, 2023
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We show that ocean-bottom seismometers are controlled by bottom currents, but these are not always a function of the tidal forcing. Instead we suggest that the ocean bottom has a flow regime resulting from two possible contributions: the permanent low-frequency bottom current and the tidal current along the full tidal cycle, between neap and spring tides. In the short-period noise band the ocean current generates harmonic tremors that corrupt the dataset records.
Ye Yuan, Huaiwei Yang, Fujiang Yu, Yi Gao, Benxia Li, and Chuang Xing
EGUsphere, https://doi.org/10.5194/egusphere-2023-122, https://doi.org/10.5194/egusphere-2023-122, 2023
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Drownings due to rip currents are a major threat to beach safety. In this study an improved model and tracking of virtual swimmers were applied to an embayed beach in China to study rip current characteristics and the optimal swimmer escape strategies. We found that swim onshore consistently seems the most successful strategy in this study. Swim onshore or swim parallel to the beach could improve the probability of survival. Stay afloat can bring a higher risk of being expelled to deeper water.
Chu-En Hsu, Katherine Serafin, Xiao Yu, Christie Hegermiller, John C. Warner, and Maitane Olabarrieta
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-49, https://doi.org/10.5194/nhess-2023-49, 2023
Revised manuscript under review for NHESS
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We analyzed how tropical cyclone (TC) characteristics affect total water level components. We used a numerical model to simulate surges and wind waves in the South Atlantic Bight (SAB) during hurricanes Matthew 2016, Dorian 2019, and Isaias 2020. We compared the water levels along the SAB. As the TCs approached, the water levels were affected by the instantaneous wind speed and the TC locations. To quantify the individual effects of TC properties on water levels, further analysis is required.
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.
Neng-Ti Yu, Cheng-Hao Lu, I-Chin Yen, Jia-Hong Chen, Jiun-Yee Yen, and Shyh-Jeng Chyi
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-293, https://doi.org/10.5194/nhess-2022-293, 2023
Revised manuscript accepted for NHESS
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Rock debris moved by tsunami waves that probably followed the 1661 earthquake in SW Taiwan are found. The long-awaited question of whether large tsunamis could impact on the South China Sea coasts is answered. The 3 m tall waves are powerful enough to carry big rocks, up to 2 t in weight and 1.7 m in length, landward for 30 m in distance and onto a 2.5 m high cliff. The earthquake and tsunami must be huge compared to the modern record set by the 1994 M6.4 earthquake and 0.4 m high tsunami.
Chuan Li, H. Tuba Özkan-Haller, Gabriel García Medina, Robert A. Holman, Peter Ruggiero, Treena M. Jensen, David B. Elson, and William R. Schneider
Nat. Hazards Earth Syst. Sci., 23, 107–126, https://doi.org/10.5194/nhess-23-107-2023, https://doi.org/10.5194/nhess-23-107-2023, 2023
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In this work, we examine a set of observed extreme, non-earthquake-related and non-landslide-related wave runup events. Runup events with similar characteristics have previously been attributed to trapped waves, atmospheric disturbances, and abrupt breaking of long waves. However, we find that none of these mechanisms were likely at work in the observations we examined. We show that instead, these runup events were more likely due to energetic growth of bound infragravity waves.
Olivier Cavalié, Frédéric Cappa, and Béatrice Pinel-Puysségur
EGUsphere, https://doi.org/10.5194/egusphere-2022-1113, https://doi.org/10.5194/egusphere-2022-1113, 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 (Nice, France) that has been built on reclaimed area and found that it subsides from 16 mm/yr in the 1990s to 8 mm/yr today. A continuous remotely monitoring of the platform will provide key data for a detailed investigation of future subsidence maps and their contribution will help to evaluate the potential failure of a part of the airport platform.
Shan Liu, Xianwu Shi, Qiang Liu, Jun Tan, Yuxi Sun, Qingrong Liu, and Haoshuang Guo
Nat. Hazards Earth Syst. Sci., 23, 127–138, https://doi.org/10.5194/nhess-23-127-2023, https://doi.org/10.5194/nhess-23-127-2023, 2023
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This study proposes a quantitative method for the determination of warning water levels. The proposed method is a multidimensional scale, centered on the consideration of various factors that characterize various coastlines. The implications of our study are not only scientific, as we provide a method for water level determination that is rooted in the scientific method (and reproducible across various contexts beyond China), but they are also deeply practical.
Benedikt Mester, Thomas Vogt, Seth Bryant, Christian Otto, Katja Frieler, and Jacob Schewe
EGUsphere, https://doi.org/10.5194/egusphere-2022-1308, https://doi.org/10.5194/egusphere-2022-1308, 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 17,000 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.
Jaap H. Nienhuis, Jana R. Cox, Joey O'Dell, Douglas A. Edmonds, and Paolo Scussolini
Nat. Hazards Earth Syst. Sci., 22, 4087–4101, https://doi.org/10.5194/nhess-22-4087-2022, https://doi.org/10.5194/nhess-22-4087-2022, 2022
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Humans build levees to protect themselves against floods. We need to know where they are to correctly predict flooding, for example from sea level rise. Here we have looked through documents to find levees, and checked that they exist using satellite imagery. We developed a global levee map, available at www.opendelve.eu, and we found that 24 % of people in deltas are protected by levees.
Alec Torres-Freyermuth, Gabriela Medellín, Jorge A. Kurczyn, Roger Pacheco-Castro, Jaime Arriaga, Christian M. Appendini, María Eugenia Allende-Arandía, Juan A. Gómez, Gemma L. Franklin, and Jorge Zavala-Hidalgo
Nat. Hazards Earth Syst. Sci., 22, 4063–4085, https://doi.org/10.5194/nhess-22-4063-2022, https://doi.org/10.5194/nhess-22-4063-2022, 2022
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Barrier islands in tropical regions are prone to coastal flooding and erosion during hurricane events. The Yucatán coast was impacted by hurricanes Gamma and Delta. Inner shelf, coastal, and inland observations were acquired. Beach morphology changes show alongshore gradients. Flooding occurred on the back barrier due to heavy inland rain and the coastal aquifer's confinement. Modeling systems failed to reproduce the coastal hydrodynamic response due to uncertainties in the boundary conditions.
Panagiotis Athanasiou, Ap van Dongeren, Alessio Giardino, Michalis Vousdoukas, Jose A. A. Antolinez, and Roshanka Ranasinghe
Nat. Hazards Earth Syst. Sci., 22, 3897–3915, https://doi.org/10.5194/nhess-22-3897-2022, https://doi.org/10.5194/nhess-22-3897-2022, 2022
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Sandy dunes protect the hinterland from coastal flooding during storms. Thus, models that can efficiently predict dune erosion are critical for coastal zone management and early warning systems. Here we develop such a model for the Dutch coast based on machine learning techniques, allowing for dune erosion estimations in a matter of seconds relative to available computationally expensive models. Validation of the model against benchmark data and observations shows good agreement.
María Teresa Pedrosa-González, José Manuel González-Vida, Jesús Galindo-Záldivar, Sergio Ortega, Manuel Jesús Castro, David Casas, and Gemma Ercilla
Nat. Hazards Earth Syst. Sci., 22, 3839–3858, https://doi.org/10.5194/nhess-22-3839-2022, https://doi.org/10.5194/nhess-22-3839-2022, 2022
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The L-ML-HySEA (Landslide Multilayer Hyperbolic Systems and Efficient Algorithms) model of the tsunami triggered by the Storfjorden LS-1 landslide provides new insights into the sliding mechanism and bathymetry controlling the propagation, amplitude values and shoaling effects as well as coastal impact times. This case study provides new perspectives on tsunami hazard assessment in polar margins, where global climatic change and its related ocean warming may contribute to landslide trigger.
Cuneyt Yavuz, Kutay Yilmaz, and Gorkem Onder
Nat. Hazards Earth Syst. Sci., 22, 3725–3736, https://doi.org/10.5194/nhess-22-3725-2022, https://doi.org/10.5194/nhess-22-3725-2022, 2022
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Even if the coincidence of flood and tsunami hazards may be experienced once in a blue moon, it should also be investigated due to the uncertainty of the time of occurrence of these natural hazards. The objective of this study is to reveal a statistical methodology to evaluate the aggregate potential hazard levels due to flood hazards with the presence of earthquake-triggered tsunamis. The proposed methodology is applied to Fethiye city, located on the Western Mediterranean coast of Turkey.
Damiano Baldan, Elisa Coraci, Franco Crosato, Maurizio Ferla, Andrea Bonometto, and Sara Morucci
Nat. Hazards Earth Syst. Sci., 22, 3663–3677, https://doi.org/10.5194/nhess-22-3663-2022, https://doi.org/10.5194/nhess-22-3663-2022, 2022
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Extreme-event analysis is widely used to provide information for the design of coastal protection structures. Non-stationarity due to sea level rise can affect such estimates. Using different methods on a long time series of sea level data, we show that estimates of the magnitude of extreme events in the future can be inexact due to relative sea level rise. Thus, considering non-stationarity is important when analyzing extreme-sea-level events.
Umesh Pranavam Ayyappan Pillai, Nadia Pinardi, Ivan Federico, Salvatore Causio, Francesco Trotta, Silvia Unguendoli, and Andrea Valentini
Nat. Hazards Earth Syst. Sci., 22, 3413–3433, https://doi.org/10.5194/nhess-22-3413-2022, https://doi.org/10.5194/nhess-22-3413-2022, 2022
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The study presents the application of high-resolution coastal modelling for wave hindcasting on the Emilia-Romagna coastal belt. The generated coastal databases which provide an understanding of the prevailing wind-wave characteristics can aid in predicting coastal impacts.
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.
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.
Cited articles
Aburaya, T. and Imamura, F.: The proposal of a tsunami run-up simulation using combined equivalent roughness, Annual Journal of Coastal Engineering, Japan Society of Civil Engineers, 49, 276–280, 2002.
Aida, I.: Reliability of a tsunami source model derived from fault parameters, J. Phys. Earth, 26, 57–73, https://doi.org/10.4294/jpe1952.26.57, 1978.
Akaike, H.: A new look at the statistical model identification, IEEE T. Automat. Contr., 19, 716–723, https://doi.org/10.1109/TAC.1974.1100705, 1974.
Ammon, C. J., Ji, C., Thio, H.-K., Robinson, D., Ni, S., Hjorleifsdottir, V., Kanamori, H., Lay, T., Das, S., and Helmberger, D.: Rupture process of the 2004 Sumatra-Andaman earthquake, Science, 308, 1133–1139, https://doi.org/10.1126/science.1112260, 2005.
Arikawa, T., Muhari, A., Okumura, Y., Dohi, Y., Afriyanto, B., Sujatmiko, K. A., and Imamura, F.: Coastal subsidence induced several tsunamis during the 2018 Sulawesi earthquake, Journal of Disaster Research, 13, 1–3, https://doi.org/10.20965/jdr.2018.sc20181204, 2018.
Asian Disaster Preparedness Center: The economic impact of
the 26 December 2004 earthquake and Indian Ocean tsunami in
Thailand, available at:
https://reliefweb.int/report/thailand/economic-impact-26-december-2004-earthquake-and-indian-ocean-tsunami-thailand
(last access: 15 February 2020), 2007.
Association of Southeast Asian Nations
(ASEAN)-Coordinating Centre for Humanitarian Assistance on disaster:
Situation update No. 12 M 7.4 earthquake and tsunami Sulawesi,
Indonesia, available at:
https://reliefweb.int/sites/reliefweb.int/files/resources/AHA-Situation_Update-no12-Sulawesi-EQ-rev.pdf
(last access: 20 February 2020), 2018.
Attary, N., Van de Lindt, J. W., Unnikrishnan, V. U.,
Barbosa, A. R., and Cox, D. T.: Methodology for development of
physics-based tsunami fragilities, J. Struct. Eng., 143, 04016223, https://doi.org/10.1061/(ASCE)ST.1943-541X.0001715, 2017.
Carvajal, M., Araya-Cornejo, C., Sepúlveda, I., Melnick, D., and Haase, J. S.: Nearly instantaneous tsunamis following the Mw 7.5 2018 Palu earthquake, Geophys. Res. Lett., 46, 5117–5126, https://doi.org/10.1029/2019GL082578, 2019.
Chakrabarti, S.: Handbook of Offshore Engineering
(2-volume set), Elsevier, Plainfield, Illinois, USA, 2005.
Charvet, I., Ioannou, I., Rossetto, T., Suppasri, A., and Imamura, F.: Empirical fragility assessment of buildings affected by the 2011 Great East Japan tsunami using improved statistical models, Nat. Hazards, 73, 951–973, https://doi.org/10.1007/s11069-014-1118-3, 2014.
Darma, Y. and Sulistyantara, B.: Analysis of landscape
impact on post-earthquake, tsunami, and liquefaction disasters in
Palu City, Central Sulawesi, in: IOP Conference Series: Earth and
Environmental Science, vol. 501, p. 012003, IOP Publishing, Bogor, Indonesia, 2020.
Day, S. J.: Volcanic tsunamis, in: The Encyclopedia of
Volcanoes, Sigurdsson, H., Houghton, B., McNutt, S., Rymer, H., and
Stix, J. (Eds.), 993–1009, Elsevier, Amsterdam, 2015.
DEMNAS: Seamless Digital Elevation Model (DEM) dan Batimetri Nasional, [data], available at: http://tides.big.go.id/DEMNAS/index.html, last access: 1 February 2020.
De Risi, R., Goda, K., Yasuda, T., and Mori, N.: Is flow velocity important in tsunami empirical fragility modeling?, Earth-Sci. Rev., 166, 64–82, https://doi.org/10.1016/j.earscirev.2016.12.015, 2017.
Dogan, G. G., Annunziato, A., Hidayat, R., Husrin, S., Prasetya, G., Kongko, W., Zaytsev, A., Pelinovsky, E., Imamura, F., and Yalciner, A. C.: Numerical simulations of December 22, 2018 Anak Krakatau tsunami and examination of possible submarine landslide scenarios, Pure Appl. Geophys., 1–20, https://doi.org/10.1007/s00024-020-02641-7, 2021.
Federal Emergency Management Agency (FEMA): Coastal
construction manual, FEMA 55, USA, 296 pp., 2003.
Foytong, P. and Ruangrassamee, A.: Fragility curves of
reinforced-concrete buildings damaged by a tsunami for tsunami risk
analysis, in: The Twentieth KKCNN Symposium on Civil Engineering, October 2007, Jeju, Korea, 4–5, 2007.
Frederik, M. C. G., Udrekh, Adhitama, R., Hananto, N. D., Asrafil, Sahabuddin, S., Irfan, M., Moefti, O., Putra, D. B., and Riyalda, B. F.: First results of a bathymetric survey of Palu Bay, Central Sulawesi, Indonesia following the tsunamigenic earthquake of 28 September 2018, Pure Appl. Geophys., 176, 3277–3290, https://doi.org/10.1007/s00024-019-02280-7, 2019.
Ghobarah, A., Saatcioglu, M., and Nistor, I.: The impact of the 26 December 2004 earthquake and tsunami on structures and infrastructure, Eng. Struct., 28, 312–326, https://doi.org/10.1016/j.engstruct.2005.09.028, 2006.
Goda, K., Mori, N., Yasuda, T., Prasetyo, A., Muhammad, A., and Tsujio, D.: Cascading geological hazards and risks of the 2018 Sulawesi Indonesia earthquake and sensitivity analysis of tsunami inundation simulations, Front. Earth Sci., 7, 261, https://doi.org/10.3389/feart.2019.00261, 2019.
Gokon, H., Koshimura, S., Matsuoka, M., and Namegaya, Y.: Developing tsunami fragility curves due to the 2009 tsunami disaster in American Samoa, Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), 67, 1321–1325, https://doi.org/10.2208/kaigan.67.I_1321, 2011.
Grezio, A., Babeyko, A., Baptista, M. A., Behrens, J., Costa, A., Davies, G., Geist, E. L., Glimsdal, S., González, F. I., Griffin, J., Harbitz, C. B., LeVeque, R. J., Lorito, S., Løvholt, F., Omira, R., Mueller, C., Paris, R., Parsons, T., Polet, J., Power, W., Selva, J., Sørensen, M. B., and Thio, H. K.: Probabilistic tsunami hazard analysis: multiple sources and global applications, Rev. Geophys., 55, 1158–1198, https://doi.org/10.1002/2017RG000579, 2017.
Grilli, S. T., Tappin, D. R., Carey, S., Watt, S. F. L., Ward, S. N., Grilli, A. R., Engwell, S. L., Zhang, C., Kirby, J. T., Schambach, L., and Muin, M.: Modelling of the tsunami from the December 22, 2018 lateral collapse of Anak Krakatau volcano in the Sunda Straits, Indonesia, Sci. Rep.-UK, 9, 1–13, https://doi.org/10.1038/s41598-019-48327-6, 2019.
Gusman, A. R., Supendi, P., Nugraha, A. D., Power, W., Latief, H., Sunendar, H., Widiyantoro, S., Wiyono, S. H., Hakim, A., and Muhari, A.: Source model for the tsunami inside palu bay following the 2018 palu earthquake, Indonesia, Geophys. Res. Lett., 46, 8721–8730, https://doi.org/10.1029/2019gl082717, 2019.
Heidarzadeh, M., Muhari, A., and Wijanarto, A. B.: Insights on the source of the 28 September 2018 Sulawesi tsunami, Indonesia based on spectral analyses and numerical simulations, Pure Appl. Geophys., 176, 25–43, https://doi.org/10.1007/s00024-018-2065-9, 2019.
Heidarzadeh, M., Ishibe, T., Sandanbata, O., Muhari, A., and Wijanarto, A. B.: Numerical modeling of the subaerial landslide source of the 22 December 2018 Anak Krakatoa volcanic tsunami, Indonesia, Ocean Eng., 195, 106733, https://doi.org/10.1016/j.oceaneng.2019.106733, 2020.
Imamura, F. and Imteaz, M. A.: Long waves in two layers: governing equations and numerical model, Science of Tsunami Hazards, 13, 3–24, 1995.
Japan Society of Civil Engineers (JSCE): Tsunami
assessment method for nuclear power plants in Japan, Japan Society
of Civil Engineers Tokyo, available at:
https://www.jsce.or.jp/committee/ceofnp/Tsunami/eng/JSCE_Tsunami_060519.pdf
(last access: 28 January 2020), 2002.
Karlsson, J. M., Skelton, A., Sandén, M., Ioualalen, M., Kaewbanjak, N., Pophet, N., Asavanant, J., and Von Matern, A.: Reconstructions of the coastal impact of the 2004 Indian Ocean tsunami in the Khao Lak area, Thailand, J. Geophys. Res.-Oceans, 114, C10023, https://doi.org/10.1029/2009JC005516, 2009.
Kijewski-Correa, T. and Robertson, I.: StEER: structural
extreme event reconnaissance network: Palu earthquake and tsunami,
Sulawesi, Indonesia field assessment Team 1 (FAT-1), early access
reconnaissance report (EARR), 2018.
Koshimura, S., Oie, T., Yanagisawa, H., and Imamura, F.: Developing fragility functions for tsunami damage estimation using numerical model and post-tsunami data from Banda Aceh, Indonesia, Coast. Eng. J., 51, 243–273, https://doi.org/10.1142/S0578563409002004, 2009a.
Koshimura, S., Namegaya, Y., and Yanagisawa, H.: Tsunami fragility – A new measure to identify tsunami damage, Journal of Disaster Research, 4, 479–488, https://doi.org/10.20965/jdr.2009.p0479, 2009b.
Kotani, M.: Tsunami run-up simulation and damage estimation using GIS, Pacific Coast Engineering, Japan Society of Civil Engineers (JSCE), 45, 356–360, 1998.
Krüger, F. and Ohrnberger, M.: Spatio-temporal source characteristics of the 26 December 2004 Sumatra earthquake as imaged by teleseismic broadband arrays, Geophys. Res. Lett., 32, L24312, https://doi.org/10.1029/2005GL023939, 2005.
Lauterjung, J., Münch, U., and Rudloff, A.: The challenge of installing a tsunami early warning system in the vicinity of the Sunda Arc, Indonesia, Nat. Hazards Earth Syst. Sci., 10, 641–646, https://doi.org/10.5194/nhess-10-641-2010, 2010.
Lavigne, F., Paris, R., Grancher, D., Wassmer, P., Brunstein, D., Vautier, F., Leone, F., Flohic, F., De Coster, B., Gunawan, T., Gomez, C., Setiawan, A., Cahyadi, R., and Fachrizal: Reconstruction of tsunami inland propagation on December 26, 2004 in Banda Aceh, Indonesia, through field investigations, Pure Appl. Geophys., 166, 259–281, https://doi.org/10.1007/s00024-008-0431-8, 2009.
Lay, T., Kanamori, H., Ammon, C. J., Nettles, M., Ward, S. N., Aster, R. C., Beck, S. L., Bilek, S. L., Brudzinski, M. R., and Butler, R.: The great Sumatra-Andaman earthquake of 26 December 2004, Science, 308, 1127–1133, https://doi.org/10.1126/science.1112250, 2005.
Løvholt, F., Bungum, H., Harbitz, C. B., Glimsdal, S., Lindholm, C. D., and Pedersen, G.: Earthquake related tsunami hazard along the western coast of Thailand, Nat. Hazards Earth Syst. Sci., 6, 979–997, https://doi.org/10.5194/nhess-6-979-2006, 2006.
Macabuag, J., Rossetto, T., and Lloyd, T.: Sensitivity
analyses of a framed structure under several tsunami design-guidance
loading regimes, in: 2nd European Conference on Earthquake
Engineering and Seismology, Istanbul, Turkey, available at:
http://www.eaee.org/Media/Default/2ECCES/2ecces_eaee/295.pdf (last access: 3 March 020), 2014.
Macabuag, J., Rossetto, T., Ioannou, I., Suppasri, A., Sugawara, D., Adriano, B., Imamura, F., Eames, I., and Koshimura, S.: A proposed methodology for deriving tsunami fragility functions for buildings using optimum intensity measures, Nat. Hazards, 84, 1257–1285, https://doi.org/10.1007/s11069-016-2485-8, 2016.
Macías, J., Vázquez, J. T., Fernández-Salas, L. M., González-Vida, J. M., Bárcenas, P., Castro, M. J., Díaz-del-Río, V., and Alonso, B.: The Al-Borani submarine landslide and associated tsunami. A modelling approach, Mar. Geol., 361, 79–95, https://doi.org/10.1016/j.margeo.2014.12.006, 2015.
Marfai, M. A., King, L., Singh, L. P., Mardiatno, D., Sartohadi, J., Hadmoko, D. S., and Dewi, A.: Natural hazards in Central Java Province, Indonesia: an overview, Environ. Geol., 56, 335–351, https://doi.org/10.1007/s00254-007-1169-9, 2008.
Mas, E., Koshimura, S., Suppasri, A., Matsuoka, M., Matsuyama, M., Yoshii, T., Jimenez, C., Yamazaki, F., and Imamura, F.: Developing Tsunami fragility curves using remote sensing and survey data of the 2010 Chilean Tsunami in Dichato, Nat. Hazards Earth Syst. Sci., 12, 2689–2697, https://doi.org/10.5194/nhess-12-2689-2012, 2012.
Mas, E., Paulik, R., Pakoksung, K., Adriano, B., Moya, L., Suppasri, A., Muhari, A., Khomarudin, R., Yokoya, N., Matsuoka, M., and Koshimura, S.: Characteristics of tsunami fragility functions developed using different sources of damage data from the 2018 Sulawesi earthquake and tsunami, Pure Appl. Geophys., 177, 2437–2455, https://doi.org/10.1007/s00024-020-02501-4, 2020.
McCloskey, J., Antonioli, A., Piatanesi, A., Sieh, K., Steacy, S., Nalbant, S., Cocco, M., Giunchi, C., Huang, J., and Dunlop, P.: Tsunami threat in the Indian Ocean from a future megathrust earthquake west of Sumatra, Earth Planet. Sc. Lett., 265, 61–81, https://doi.org/10.1016/j.epsl.2007.09.034, 2008.
Muhari, A., Imamura, F., Arikawa, T., Hakim, A. R., and
Afriyanto, B.: Solving the puzzle of the September 2018 Palu,
Indonesia, tsunami mystery: clues from the tsunami waveform and the
initial field survey data, Journal of Disaster Research,
13(Scientific Communication), sc20181108,
https://doi.org/10.20965/jdr.2018.sc20181108, 2018.
Muhari, A., Heidarzadeh, M., Susmoro, H., Nugroho, H. D., Kriswati, E., Supartoyo, Wijanarto, A. B., Imamura, F., and Arikawa, T.: The December 2018 Anak Krakatau Volcano tsunami as inferred from post-tsunami field Surveys and Spectral Analysis, Pure Appl. Geophys., 176, 5219–5233, https://doi.org/10.1007/s00024-019-02358-2, 2019.
Murao, O. and Nakazato, H.: Development of fragility curves for buildings based on damage survey data in Sri Lanka after the 2004 Indian Ocean tsunami, Journal of Structural and Construction Engineering, 75, 1021–1027, https://doi.org/10.3130/aijs.75.1021, 2010.
Nalbant, S. S., Steacy, S., Sieh, K., Natawidjaja, D., and McCloskey, J.: Earthquake risk on the Sunda trench, Nature, 435, 756–757, https://doi.org/10.1038/nature435756a, 2005.
National Agency for Disaster Management (BNPB): The Sunda Strait tsunami, available at: https://reliefweb.int/report/indonesia/indonesia-sunda-strait-tsunami-dg-echo-bnpb-ocha-ifrc-media-echo-daily-flash-23 (last access: 5 March 2020), 2018.
Omira, R. and Ramalho, I.: Evidence-calibrated numerical model of December 22, 2018, Anak Krakatau flank collapse and tsunami, Pure Appl. Geophys., 177, 3059–3071, https://doi.org/10.1007/s00024-020-02532-x, 2020.
Omira, R., Dogan, G. G., Hidayat, R., Husrin, S., Prasetya, G., Annunziato, A., Proietti, C., Probst, P., Paparo, M. A., Wronna, M., Zaytsev, A., Pronin, P., Giniyatullin, A., Putra, P. S., Hartanto, D., Ginanjar, G., Kongko, W., Pelinovsky, E., and Yalciner, A. C.: The September 28th, 2018, tsunami in Palu-Sulawesi, Indonesia: a post-event field survey, Pure Appl. Geophys., 176, 1379–1395, https://doi.org/10.1007/s00024-019-02145-z, 2019.
Otake, T., Chua, C. T., Suppasri, A., and Imamura, F.: Justification of possible casualty-reduction countermeasures based on global tsunami hazard assessment for tsunami-prone regions over the past 400 years, Journal of Disaster Research, 15, 490–502, https://doi.org/10.20965/jdr.2020.p0490, 2020.
Pakoksung, K., Suppasri, A., and Imamura, F.: Systematic evaluation of different infrastructure systems for tsunami defense in Sendai City, Geosciences, 8, 173, https://doi.org/10.3390/geosciences8050173, 2018.
Pakoksung, K., Suppasri, A., Imamura, F., Athanasius, C., Omang, A., and Muhari, A.: Simulation of the submarine landslide tsunami on 28 September 2018 in Palu Bay, Sulawesi Island, Indonesia, using a two-layer model, Pure Appl. Geophys., 176, 3323–3350, https://doi.org/10.1007/s00024-019-02235-y, 2019.
Pakoksung, K., Suppasri, A., Muhari, A., Syamsidik, and Imamura, F.: Global optimization of a numerical two-layer model using observed data: a case study of the 2018 Sunda Strait tsunami, Geoscience Letters, 7, 1–20, https://doi.org/10.1186/s40562-020-00165-5, 2020.
Paris, A., Heinrich, P., Paris, R., and Abadie, S.: The December 22, 2018 Anak Krakatau, Indonesia, landslide and tsunami: preliminary modeling results, Pure Appl. Geophys., 177, 571–590, https://doi.org/10.1007/s00024-019-02394-y, 2020.
Paulik, R., Gusman, A., Williams, J. H., Pratama, G. M., Lin, S., Prawirabhakti, A., Sulendra, K., Zachari, M. Y., Fortuna, Z. E. D., Layuk, N. B. P., and Suwarni, N. W. I.: Tsunami hazard and built environment damage observations from Palu City after the September 28 2018 Sulawesi earthquake and tsunami, Pure Appl. Geophys., 176, 3305–3321, https://doi.org/10.1007/s00024-019-02254-9, 2019.
Prasetya, G., Borrero, J., de Lange, W., Black, K., and Healy, T.: Modeling of inundation dynamics on Banda Aceh, Indonesia during the great Sumatra tsunamis December 26, 2004, Nat. Hazards, 58, 1029–1055, https://doi.org/10.1007/s11069-010-9710-7, 2011.
Puspito, N. T. and Gunawan, I.: Tsunami sources in the sumatra region, Indonesia and simulation of the 26 December 2004 Aceh tsunami, ISET Journal of Earthquake Technology, 42, 4, 2005.
Rastogi, B.: A historical account of the earthquakes and tsunamis in the Indian Ocean, in: The Indian Ocean Tsunami, 3–18, Taylor & Francis, London, 2007.
Reese, S., Cousins, W. J., Power, W. L., Palmer, N. G., Tejakusuma, I. G., and Nugrahadi, S.: Tsunami vulnerability of buildings and people in South Java – field observations after the July 2006 Java tsunami, Nat. Hazards Earth Syst. Sci., 7, 573–589, https://doi.org/10.5194/nhess-7-573-2007, 2007.
Rossetto, T., Peiris, N., Pomonis, A., Wilkinson, S. M., Del Re, D., Koo, R., and Gallocher, S.: The Indian Ocean tsunami of December 26, 2004: observations in Sri Lanka and Thailand, Nat. Hazards, 42, 105–124, https://doi.org/10.1007/s11069-006-9064-3, 2007.
Rossetto, T., Ioannou, I., and Grant, D. N.: Existing empirical fragility and vulnerability relationships: compendium and guide for selection, GEM Fundation, Pavia, 2013.
Rossetto, T., Ioannou, I., Grant, D., and Maqsood, T.: Guidelines for the empirical vulnerability assessment, available at: https://discovery.ucl.ac.uk/id/eprint/1449624/1/Rossetto_ULN-MOD-Empirical-vulnerability-201411-v01.pdf (last access: 16 February 2020), 2014.
Ruangrassamee, A., Yanagisawa, H., Foytong, P., Lukkunaprasit, P., Koshimura, S., and Imamura, F.: Investigation of tsunami-induced damage and fragility of buildings in Thailand after the December 2004 Indian Ocean tsunami, Earthq. Spectra, 22, 377–401, https://doi.org/10.1193/1.2208088, 2006.
Saatcioglu, M., Ghobarah, A., and Nistor, I.: Performance of structures in Indonesia during the December 2004 Great Sumatra earthquake and Indian Ocean tsunami, Earthq. Spectra, 22, 295–319, https://doi.org/10.1193/1.2209171, 2006.
Sassa, S. and Takagawa, T.: Liquefied gravity flow-induced tsunami: first evidence and comparison from the 2018 Indonesia Sulawesi earthquake and tsunami disasters, Landslides, 16, 195–200, https://doi.org/10.1007/s10346-018-1114-x, 2019.
Socquet, A., Hollingsworth, J., Pathier, E., and Bouchon, M.: Evidence of supershear during the 2018 magnitude 7.5 Palu earthquake from space geodesy, Nat. Geosci., 12, 192–199, https://doi.org/10.1038/s41561-018-0296-0, 2019.
Song, J., De Risi, R., and Goda, K.: Influence of flow velocity on tsunami loss estimation, Geosciences, 7, 114, https://doi.org/10.3390/geosciences7040114, 2017.
Sumer, B. M., Ansal, A., Cetin, K. O., Damgaard, J., Gunbak, A. R., Hansen, N.-E. O., Sawicki, A., Synolakis, C. E., Yalciner, A. C., Yuksel, Y., and Zen, K.: Earthquake-induced liquefaction around marine structures, J. Waterw. Port C., 133, 55–82, https://doi.org/10.1061/(ASCE)0733-950X(2007)133:1(55), 2007.
Supendi, P., Nugraha, A. D., Widiyantoro, S., Abdullah, C. I., Puspito, N. T., Palgunadi, K. H., Daryono, D., and Wiyono, S. H.: Hypocenter relocation of the aftershocks of the Mw 7.5 Palu earthquake (September 28, 2018) and swarm earthquakes of Mamasa, Sulawesi, Indonesia, using the BMKG network data, Geoscience Letters, 6, 1–11, https://doi.org/10.1186/s40562-019-0148-9, 2019.
Suppasri, A., Koshimura, S., and Imamura, F.: Developing tsunami fragility curves based on the satellite remote sensing and the numerical modeling of the 2004 Indian Ocean tsunami in Thailand, Nat. Hazards Earth Syst. Sci., 11, 173–189, https://doi.org/10.5194/nhess-11-173-2011, 2011.
Suppasri, A., Mas, E., Koshimura, S., Imai, K., Harada, K., and Imamura, F.: Developing tsunami fragility curves from the surveyed data of the 2011 Great East Japan tsunami in Sendai and Ishinomaki Plains, Coast. Eng. J., 54, 1250008-1–1250008-16, https://doi.org/10.1142/S0578563412500088, 2012.
Suppasri, A., Mas, E., Charvet, I., Gunasekera, R., Imai, K., Fukutani, Y., Abe, Y., and Imamura, F.: Building damage characteristics based on surveyed data and fragility curves of the 2011 Great East Japan tsunami, Nat. Hazards, 66, 319–341, https://doi.org/10.1007/s11069-012-0487-8, 2013.
Suppasri, A., Charvet, I., Imai, K., and Imamura, F.: Fragility curves based on data from the 2011 Tohoku-oki tsunami in Ishinomaki city, with discussion of parameters influencing building damage, Earthq. Spectra, 31, 841–868, 2015.
Suppasri, A., Syamsidik, Pakoksung, K., Latcharote, P.,
Miyamoto, R., and Imamura, F.: Fragility functions of buildings
under only tsunami load in Indonesia: a case study of the 2018 Sunda
Strait tsunami, in: 17th World Conference on Earthquake Engineering,
17WCEE, September 2020, Sendai, Japan, 2020.
Sutikno, S.: Earthquake disaster of Yogyakarta and Central Java, and disaster reduction, Indonesia, Forum Geografi, 21, 1–16, https://doi.org/10.23917/forgeo.v21i1.1823, 2016.
Syamsidik, S., Benazir, B., and Luthfi, M.: Tsunami flow depths, building damages, and tsunami boulders measured from the December 22, 2018 Sunda Strait tsunami around Western Java and Southern Lampung of Indonesia, Mendeley Data, available at: https://data.mendeley.com/datasets/yyyvmxh8vg/1 (last access: 20 February 2020), 2019.
Syamsidik, Benazir, Luthfi, M., Suppasri, A., and Comfort, L. K.: The 22 December 2018 Mount Anak Krakatau volcanogenic tsunami on Sunda Strait coasts, Indonesia: tsunami and damage characteristics, Nat. Hazards Earth Syst. Sci., 20, 549–565, https://doi.org/10.5194/nhess-20-549-2020, 2020.
Tsuji, Y., Namegaya, Y., Matsumoto, H., Iwasaki, S.-I., Kanbua, W., and Sriwichai, Mongkonkorn Meesuk, V.: The 2004 Indian tsunami in Thailand: surveyed runup heights and tide gauge records, Earth Planets Space, 58, 223–232, 2006.
Ulrich, T., Vater, S., Madden, E. H., Behrens, J., van Dinther, Y., van Zelst, I., Fielding, E. J., Liang, C., and Gabriel, A. A.: Coupled, physics-based modeling reveals earthquake displacements are critical to the 2018 Palu, Sulawesi tsunami, Pure Appl. Geophys., 176, 4069–4109, https://doi.org/10.1007/s00024-019-02290-5, 2019.
Ward, S. N.: Landslide tsunami, J. Geophys. Res.-Sol. Ea., 106, 11201–11215, https://doi.org/10.1029/2000JB900450, 2001.
Watkinson, I. M. and Hall, R.: Impact of communal irrigation on the 2018 Palu earthquake-triggered landslides, Nat. Geosci., 12, 940–945, https://doi.org/10.1038/s41561-019-0448-x, 2019.
Williams, R., Rowley, P., and Garthwaite, M. C.: Reconstructing the Anak Krakatau flank collapse that caused the December 2018 Indonesian tsunami, Geology, 47, 973–976, https://doi.org/10.1130/G46517.1, 2019.
Short summary
In Indonesia, tsunamis represent a significant risk to coastal communities and buildings. Therefore, it is fundamental to deeply understand the tsunami source impact on buildings and infrastructure. This work provides a novel understanding of the relationship between wave period, ground shaking, liquefaction events, and potential building damage using tsunami fragility curves. This study represents the first investigation of colossal impacts increasing building damage.
In Indonesia, tsunamis represent a significant risk to coastal communities and buildings....
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