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Journal articles on the topic 'Tsunami'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Elbanna, Ahmed, Mohamed Abdelmeguid, Xiao Ma, et al. "Anatomy of strike-slip fault tsunami genesis." Proceedings of the National Academy of Sciences 118, no. 19 (2021): e2025632118. http://dx.doi.org/10.1073/pnas.2025632118.

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Tsunami generation from earthquake-induced seafloor deformations has long been recognized as a major hazard to coastal areas. Strike-slip faulting has generally been considered insufficient for triggering large tsunamis, except through the generation of submarine landslides. Herein, we demonstrate that ground motions due to strike-slip earthquakes can contribute to the generation of large tsunamis (>1 m), under rather generic conditions. To this end, we developed a computational framework that integrates models for earthquake rupture dynamics with models of tsunami generation and propagatio

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2

Lahcene, Elisa, Ioanna Ioannou, Anawat Suppasri, et al. "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." Natural Hazards and Earth System Sciences 21, no. 8 (2021): 2313–44. http://dx.doi.org/10.5194/nhess-21-2313-2021.

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Abstract. Indonesia has experienced several tsunamis triggered by seismic and non-seismic (i.e., landslides) sources. These events damaged or destroyed coastal buildings and infrastructure and caused considerable loss of life. Based on the Global Earthquake Model (GEM) guidelines, this study assesses the empirical tsunami fragility to the buildings inventory of the 2018 Sunda Strait, 2018 Sulawesi–Palu, and 2004 Indian Ocean (Khao Lak–Phuket, Thailand) tsunamis. Fragility curves represent the impact of tsunami characteristics on structural components and express the likelihood of a structure r

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3

Dermadi, Yedi, and Yoanes Bandung. "Tsunami Impact Prediction System Based on TsunAWI Inundation Data." Journal of ICT Research and Applications 15, no. 1 (2021): 21–40. http://dx.doi.org/10.5614/itbj.ict.res.appl.2021.15.1.2.

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It is very important for tsunami early warning systems to provide inundation predictions within a short period of time. Inundation is one of the factors that directly cause destruction and damage from tsunamis. This research proposes a tsunami impact prediction system based on inundation data analysis. The inundation data used in this analysis were obtained from the tsunami modeling called TsunAWI. The inundation data analysis refers to the coastal forecast zones for each city/regency that are currently used in the Indonesia Tsunami Early Warning System (InaTEWS). The data analysis process com

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4

Mohamed E.,, Syed, and Pon Selvam C. "Computational Analysis of Tsunami Wave Behaviour for Three Historical Tsunami Events using T-Impulse Model." WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT 19 (December 31, 2023): 1357–70. http://dx.doi.org/10.37394/232015.2023.19.122.

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Natural catastrophes pose a serious threat to both human life and the environment because they are unpredictable. One of the most devastating natural disasters is a tsunami, and forecasting models are essential to preventing catastrophic damage to the environment and people along the coast. In the Impulse model, the generation of a tsunami depends on the impulse force generated during the event. Understanding tsunamis begins with simulating the tsunami generation process. This process involves simulating both the motion of the seafloor and the subsequent motion of the water above for tsunamis

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5

Winckler, Patricio, Ignacio SepÃºlveda, Felipe Aron, and Manuel Contreras-LÃ³pez. "TIDE-TSUNAMI INTERACTION IN A HIGHLY ENERGETIC CHANNEL. A CASE STUDY." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 83. http://dx.doi.org/10.9753/icce.v36.currents.83.

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Tsunamiâ€“tide interaction can be assessed using different approaches with increasing levels of complexity. The simplest is to compute the sea level through a linear superposition of the tide and the tsunami computed independently (composite model). Recent studies have found that composite models provide inaccurate results in shallow waters (e.g. Kowalik et al, 2010). A more realistic analysis is achieved by computing the tsunami and the tide together (full model). This approach is appropriate where nonlinear effects may be important due to strong tides or shallow bathymetries. This work is in

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6

Song, Min-Jong, and Yong-Sik Cho. "Modeling Maximum Tsunami Heights Using Bayesian Neural Networks." Atmosphere 11, no. 11 (2020): 1266. http://dx.doi.org/10.3390/atmos11111266.

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Tsunamis are distinguished from ordinary waves and currents owing to their characteristic longer wavelengths. Although the occurrence frequency of tsunamis is low, it can contribute to the loss of a large number of human lives as well as property damage. To date, tsunami research has concentrated on developing numerical models to predict tsunami heights and run-up heights with improved accuracy because hydraulic experiments are associated with high costs for laboratory installation and maintenance. Recently, artificial intelligence has been developed and has revealed outstanding performance in

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7

Cheng, An-Chi, Anawat Suppasri, Kwanchai Pakoksung, and Fumihiko Imamura. "Characteristics of consecutive tsunamis and resulting tsunami behaviors in southern Taiwan induced by the Hengchun earthquake doublet on 26 December 2006." Natural Hazards and Earth System Sciences 23, no. 2 (2023): 447–79. http://dx.doi.org/10.5194/nhess-23-447-2023.

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Abstract. Consecutive ML 7.0 submarine earthquakes occurred offshore of the Hengchun Peninsula, Taiwan, on 26 December 2006. A small tsunami was generated and recorded at tide gauge stations. This important event attracted public interest, as it was generated by an earthquake doublet and produced a tsunami risk for Taiwan. This study analyzed tide gauge tsunami waveforms and numerical simulations to understand the source characteristics and resulting behaviors of tsunamis. The maximum wave heights at the three nearest stations were 0.08 m (Kaohsiung), 0.12 m (Dongkung), and 0.3 m (Houbihu), an

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8

Fan, Tingting, Yuchen Wang, Zhiguo Xu, Lining Sun, Peitao Wang, and Jingming Hou. "A Review of Historical Volcanic Tsunamis: A New Scheme for a Volcanic Tsunami Monitoring System." Journal of Marine Science and Engineering 12, no. 2 (2024): 278. http://dx.doi.org/10.3390/jmse12020278.

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Tsunami monitoring and early warning systems are mainly established to deal with seismogenic tsunamis generated by sudden seafloor fault displacement. However, a global tsunami triggered by the 2022 Tonga volcanic eruption promoted the need for tsunami early warning and hazard mitigation of non-seismogenic tsunamis in coastal countries. This paper studied the spatiotemporal distribution characteristics of historical volcanic tsunamis and summarized high-risk areas of volcanic tsunamis. The circum southwestern Pacific volcanic zone, including the Sunda volcanic belt and the Indo-Australian plat

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9

Ibtihaj, I., M. R. Septyandy, and S. Supriyanto. "Indonesia paleotsunami database: Concept and design." IOP Conference Series: Earth and Environmental Science 846, no. 1 (2021): 012019. http://dx.doi.org/10.1088/1755-1315/846/1/012019.

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Abstract Indonesia’s tectonic conditions are one of the regions in the world with the most active tectonic activity. As a result of these conditions, Indonesia is prone to earthquakes, tsunamis, and volcanic eruptions. Tsunamis are the most violent movements of ocean waves. The mechanism for tsunamis formation is through processes that generate shock waves, such as underwater earthquakes, underwater landslides, volcanic activity, and asteroid impacts. Indonesia has experienced a series of tsunami events that have caused thousands of casualties. Tsunami events are not fully recorded in human hi

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10

Ibtihaj, I., M. R. Septyandy, and S. Supriyanto. "Indonesia paleotsunami database: Concept and design." IOP Conference Series: Earth and Environmental Science 846, no. 1 (2021): 012019. http://dx.doi.org/10.1088/1755-1315/846/1/012019.

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Abstract Indonesia’s tectonic conditions are one of the regions in the world with the most active tectonic activity. As a result of these conditions, Indonesia is prone to earthquakes, tsunamis, and volcanic eruptions. Tsunamis are the most violent movements of ocean waves. The mechanism for tsunamis formation is through processes that generate shock waves, such as underwater earthquakes, underwater landslides, volcanic activity, and asteroid impacts. Indonesia has experienced a series of tsunami events that have caused thousands of casualties. Tsunami events are not fully recorded in human hi

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11

Dawson, Alastair, and Iain Stewart. "Tsunami geoscience." Progress in Physical Geography: Earth and Environment 31, no. 6 (2007): 575–90. http://dx.doi.org/10.1177/0309133307087083.

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Research in tsunami geoscience has accelerated markedly ever since the tragedy of the Indian Ocean tsunami of Boxing Day 2004. Yet, for many decades and centuries, scholars have been describing a multiplicity of tsunami events. Thus the Royal Society devoted a whole volume to the effects of the Great Lisbon earthquake and tsunami of November AD 1755 while in the early nineteenth century Charles Darwin was describing the great tsunami at Valdivia, Chile, in his account of the Voyage of the Beagle. Today, research in tsunami geoscience is still finding its feet. Thus, whereas there has been a we

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12

Ibtihaj, Ihda, Supriyanto Suparno, Muhammad Rizqy Septyandy, Gamma Abdul Jabbar, and Tri Rani Puji Astuti. "Indonesia paleotsunami database as an effort to reduce the tsunami disasters in Indonesia." E3S Web of Conferences 340 (2022): 01001. http://dx.doi.org/10.1051/e3sconf/202234001001.

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Indonesia’s tectonic activity is one of the most active in the world. These conditions make Indonesia prone to earthquakes, tsunamis, and volcanic eruptions. Tsunamis are large ocean waves that are formed through several processes such as underwater earthquakes, underwater landslides, volcanic activity, and asteroid impacts. Indonesia has been hit by various tsunami events. However, not all characteristic tsunami events are well known and recorded. Knowing the characteristics of a tsunami occurrence is very important to understand the frequency and intensity of tsunamis in the present. This re

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13

Tanioka, Yuichiro, Aditya Riadi Gusman, Kei Ioki, and Yugo Nakamura. "Real-Time Tsunami Inundation Forecast for a Recurrence of 17thCentury Great Hokkaido Earthquake in Japan." Journal of Disaster Research 9, no. 3 (2014): 358–64. http://dx.doi.org/10.20965/jdr.2014.p0358.

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Paleotsunami studies have shown that several large tsunamis hit the Pacific coast. Many tsunami deposit data were available for the 17thcentury tsunami. The most recent tsunami deposit study in 2013 indicated that the large slip of about 25 m along the plate interface near the Kurile trench would be necessary and the seismic moment of this 17thcentury earthquake was 1.7 × 1022Nm. If a great earthquake like the 17thcentury earthquake occurs off the Pacific coast of Hokkaido, the devastating disaster along the coast is expected. To minimize the tsunami disaster, a development of the real-time fo

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14

Wickramaratne, Sanjeewa, S. Chan Wirasinghe, and Janaka Ruwanpura. "An update of proposed Sri Lanka warning system for east and west coast tsunamis." International Journal of Disaster Resilience in the Built Environment 11, no. 2 (2019): 169–86. http://dx.doi.org/10.1108/ijdrbe-08-2019-0052.

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Purpose Based on the existing provisions/operations of tsunami warning in the Indian Ocean, authors observed that detection as well as arrival time estimations of regional tsunami service providers (RTSPs) could be improved. In particular, the detection mechanisms have been eccentrically focussed on Sunda and Makran tsunamis, although tsunamis from Carlsberg ridge and Chagos archipelago could generate devastating tsunamis for which inadequate provisions exist for detection and arrival time/wave height estimation. RTSPs resort to assess estimated arrival time/wave heights from a scenario-based,

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15

Shuto, Nobuo. "Message from the Winner." Journal of Disaster Research 14, no. 4 (2019): 567. http://dx.doi.org/10.20965/jdr.2019.p0567.

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After the 1960 Great Chilean Tsunami, coastal dikes were remodeled and new ones constructed in Japan. In 1968, immediately after the completion of those construction and remodeling works, the Tokachi-Oki Earthquake struck, but fortunately the structures involved sustained very little damage. This led to a general feeling that it was possible to protect against the tsunamis completely by simply building coastal dikes and other defense structures. Japan did not see an increase in the number of tsunami researchers, but things were worse in the U.S. The National Science Foundation allocated its ts

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16

Kholifah, Ivo Nur, and Tjipto Prastowo. "ANALISIS RELASI ANTARA MAGNITUDO TSUNAMI DAN AMPLITUDO MAKSIMUM TSUNAMI." Inovasi Fisika Indonesia 10, no. 2 (2021): 17–24. http://dx.doi.org/10.26740/ifi.v10n2.p17-24.

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Abstrak Gempa tektonik dan tsunami adalah dua bencana geologi yang saling berhubungan dalam konteks gempa tektonik bisa memicu tsunami. Upaya mitigasi perlu dilakukan dengan mempelajari relasi antara parameter gempa tektonik dan parameter tsunami. Parameter gempa tektonik dikaji melalui magnitudo gempa bernilai tunggal yang tidak bergantung pada jarak pengamatan dari sumber dan dinyatakan dalam skala . Parameter tsunami dikaji melalui magnitudo tsunami dan elevasi muka laut atau dikenal sebagai amplitudo maksimum tsunami . Fokus penelitian ini adalah relasi antara dan di laut lepas serta

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17

Toriyama, Takuya, and Nobuo Ishida. "A METHOD FOR EVALUATING TSUNAMI LOADING ON SEAWALLS DURING OVERFLOW." Coastal Engineering Proceedings, no. 36v (December 31, 2020): 61. http://dx.doi.org/10.9753/icce.v36v.papers.61.

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Seawall constructions are one of the main ways of protecting coasts against tsunamis. The estimation of tsunami loading on a structure is important for evaluating the fragility of seawalls. In this study, hydraulic flume tests were conducted to investigate the characteristics of tsunami loading when tsunamis flow over seawalls. Correlations between the loading on seawalls and the specific energy of the flow are investigated. A method for evaluating the maximum tsunami loading on the seawall is proposed. The approach can evaluate the maximum tsunami loading, even when tsunamis flow over seawall

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18

Otake, Takuro, Constance Ting Chua, Anawat Suppasri, and Fumihiko Imamura. "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, no. 4 (2020): 490–502. http://dx.doi.org/10.20965/jdr.2020.p0490.

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Tsunami hazards can be considered as multiregional in their impacts, as transoceanic waves can propagate beyond local areas, as evidenced in recent tsunami events, e.g., the 2004 Indian Ocean and 2011 Great East Japan tsunamis. However, in a single event, the characteristics of a tsunami (wave amplitude and arrival time) can differ from location to location, due to a myriad of reasons including distance from the source, bathymetry of the seafloor, and local effects. Tsunami countermeasures cannot be similarly applied globally. It is prudent to investigate tsunami hazard characteristics at a re

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19

Adiprabowo, Tjahjo, Dani Ramdani, Pamungkas Daud, et al. "Radar-Based Tsunami Detection: A Comprehensive Review." Internet of Things and Artificial Intelligence Journal 4, no. 2 (2024): 299–315. http://dx.doi.org/10.31763/iota.v4i2.727.

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A tsunami is a large sea wave caused by an earthquake or underwater landslide. Timely detection of tsunamis is critical to saving lives and minimizing damage to infrastructure. Radar has proven to be an effective tool for tsunami detection. This comprehensive review discusses the use of radar for tsunami detection. The two types of radar discussed are HF (High Frequency) radar and DART (Deep ocean Assessment and Reporting of Tsunamis) radar. HF radar can detect tsunamis from long distances in real-time. However, HF radar is susceptible to electromagnetic interference. The DART radar is specifi

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Lee, Eunju, and Sungwon Shin. "Analysis of the tsunami amplification effect by resonance in Yeongil Bay." Korea Society of Coastal Disaster Prevention 8, no. 4 (2021): 315–22. http://dx.doi.org/10.20481/kscdp.2021.8.4.315.

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Predicting tsunami hazards based on the tsunami source, propagation, runup patterns is critical to protect humans and property. Potential tsunami zone, as well as the historical tsunamis in 1983 and 1993, can be a threat to the east coast of South Korea. The Korea Meteorological Administration established a tsunami forecast warning system to reduce damage from tsunamis, but it does not consider tsunami amplification in the bay due to resonance. In this study, the Numerical model, Cornell Multi-grid Coupled Tsunami model, was used to investigate natural frequency in the bay due to coastal geome

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Cox, Daniel T., Hyoungsu Park, Mohammed S. Alam, and Andre R. Barbosa. "PROBABILISTIC TSUNAMI HAZARD ASSESSMENT AND DAMAGE ESTIMATION OF THE BUILT ENVIRONMENT: APPLICATION TO THE CASCADIA SUBDUCTION ZONE AND SEASIDE, OREGON." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 94. http://dx.doi.org/10.9753/icce.v36.risk.94.

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Risk-based damage estimation to the built environment from future tsunamis is fundamental for developing mitigation and evacuation plans. One of the challenging problems in the evaluation of damage from future tsunamis is that the uncertainty from the nature of tsunami itself (e.g. Magnitude, Epicenter, Fault slip distributions) and the lack of accumulated sufficient observed data for probabilistic studies due to the relatively small frequency of tsunami historical events. Even though tsunami modeling has matured over the past several decades and provides reliable estimation of tsunami hazards

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Hou, Jingming, Yi Gao, Tingting Fan, et al. "Tsunami Risk Change Analysis for Qidong County of China Based on Land Use Classification." Journal of Marine Science and Engineering 11, no. 2 (2023): 379. http://dx.doi.org/10.3390/jmse11020379.

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Tsunamis can cause high numbers of casualties, as well as direct and indirect economic losses to coastal regions. The huge destructiveness of tsunamis requires us to study tsunami risk and its temporal change. We adopt the tsunami scenarios of the Ryukyu Trench as an example to analyze the temporal change in tsunami risk. According to the tsunami numerical model results, the tsunami inundation in the worst tsunami scenario covered an area of 82.83 km2. Satellite data including Landsat 8 images from July 2013 and Landsat 9 images from March 2022 were used with the random forest (RF) method to a

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Hu, Youshuang, Aggeliki Barberopoulou, and Magaly Koch. "Tracing the 2018 Sulawesi Earthquake and Tsunami’s Impact on Palu, Indonesia: A Remote Sensing Analysis." Journal of Marine Science and Engineering 13, no. 1 (2025): 178. https://doi.org/10.3390/jmse13010178.

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The 2018 Sulawesi Earthquake and Tsunami serves as a backdrop for this work, which employs simple and straightforward remote sensing techniques to determine the extent of the destruction and indirectly evaluate the region’s vulnerability to such catastrophic events. Documenting damage from tsunamis is only meaningful shortly after the disaster has occurred because governmental agencies clean up debris and start the recovery process within a few hours after the destruction has occurred, deeming impact estimates unreliable. Sentinel-2 and Maxar WorldView-3 satellite images were used to calculate

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Kakinuma, Taro. "A Numerical Study on Distant Tsunami Propagation Considering the Strong Nonlinearity and Strong Dispersion of Waves, or the Plate Elasticity and Mantle Fluidity of Earth." Fluids 7, no. 5 (2022): 150. http://dx.doi.org/10.3390/fluids7050150.

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Numerical simulations were generated to investigate the propagation processes of distant tsunamis, using a set of wave equations based on the variational principle considering both the strong nonlinearity and strong dispersion of waves. First, we proposed estimate formulae for the time variations of the tsunami height and wavelength of the first distant tsunami, by assuming that the initial tsunami profile was a long crest in a uniform bathymetry. Second, we considered the plate elasticity and upper-mantle fluidity of Earth, to examine their effects on the distant tsunami propagation. When the

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Kakinuma, Taro. "A Numerical Study on Distant Tsunami Propagation Considering the Strong Nonlinearity and Strong Dispersion of Waves, or the Plate Elasticity and Mantle Fluidity of Earth." Fluids 7, no. 5 (2022): 150. http://dx.doi.org/10.3390/fluids7050150.

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Numerical simulations were generated to investigate the propagation processes of distant tsunamis, using a set of wave equations based on the variational principle considering both the strong nonlinearity and strong dispersion of waves. First, we proposed estimate formulae for the time variations of the tsunami height and wavelength of the first distant tsunami, by assuming that the initial tsunami profile was a long crest in a uniform bathymetry. Second, we considered the plate elasticity and upper-mantle fluidity of Earth, to examine their effects on the distant tsunami propagation. When the

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Pribadi, Sugeng, Widjo Kongko, Nurkhalis Rahili, et al. "Assessing the potential tsunami source of the Manila trench at the Bengkayang nuclear power plant site in Kalimantan using topographical details." International Journal of Renewable Energy Development 13, no. 1 (2023): 158–67. http://dx.doi.org/10.14710/ijred.2024.57967.

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Tsunamis pose a significant threat to the construction of Nuclear Power Plants. Therefore, it is necessary to carry out a comprehensive study regarding the potential threat of tsunamis and mitigation measures using detailed data at prospective locations. This assessment is a prerequisite for effective environmental impact planning and analysis. To determine the suitability of a prospective location, careful consideration of natural factors, including earthquakes as triggers for tsunamis, is essential. The main objective of this tsunami research is to assess the level of safety of potential loc

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Otero, L. J., J. C. Restrepo, and M. Gonzalez. "Tsunami hazard assessment in the southern Colombian Pacific Basin and a proposal to regenerate a previous barrier island as protection." Natural Hazards and Earth System Sciences Discussions 1, no. 2 (2013): 1173–212. http://dx.doi.org/10.5194/nhessd-1-1173-2013.

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Abstract. In this study, the tsunami hazard posed to 120 000 inhabitants of Tumaco (Colombia) is assessed, and an evaluation and analysis of regenerating the previous El Guano Island for tsunami protection is conducted. El Guano Island was a sandy barrier island in front of the city of Tumaco until its disappearance during the tsunami of 1979; the island is believed to have played a protective role, substantially reducing the scale of the disaster. The analysis is conducted by identifying seismotectonic parameters and focal mechanisms of tsunami generation in the area, determining seven potent

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Otero, L. J., J. C. Restrepo, and M. Gonzalez. "Tsunami hazard assessment in the southern Colombian Pacific basin and a proposal to regenerate a previous barrier island as protection." Natural Hazards and Earth System Sciences 14, no. 5 (2014): 1155–68. http://dx.doi.org/10.5194/nhess-14-1155-2014.

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Abstract. In this study, the tsunami hazard posed to 120 000 inhabitants of Tumaco (Colombia) is assessed, and an evaluation and analysis of regenerating the previous El Guano Island for tsunami protection is conducted. El Guano Island was a sandy barrier island in front of the city of Tumaco until its disappearance during the tsunami of 1979; the island is believed to have played a protective role, substantially reducing the scale of the disaster. The analysis is conducted by identifying seismotectonic parameters and focal mechanisms of tsunami generation in the area, determining seven potent

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Bakri, Abu, Ping Astony Angmalisang, Kurniati Kemer, Wilhelmina Patty, Revols Dolfi CH Pamikiran, and Nurmeilita Taher. "Comcot 1.7 Modeling To Estimate The Maximum Height And Arrival Time Of The Tsunami In Tombariri Sub-District." Jurnal Ilmiah Platax 13, no. 1 (2025): 45–49. https://doi.org/10.35800/jip.v13i1.57487.

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Tombariri Sub-District is located on the North Coast of the Minahasa Peninsula, directly opposite the North Sulawesi Subduction. North Sulawesi subduction has the potential for earthquakes with a targeted magnitude of M8.5 that can generate tsunamis. In addition, Tombariri Sub-District has a fairly large population density and is located on the coast. This causes the Tombariri Sub-District to be highly vulnerable to tsunami hazards. This study aims to determine the tsunami's estimated maximum height and arrival time. The modeling method in this study is through the Comcot 1.7 application with

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Tomita, Takashi, Taro Arikawa, and Tadashi Asai. "Damage in Ports due to the 2011 off the Pacific Coast of Tohoku Earthquake Tsunami." Journal of Disaster Research 8, no. 4 (2013): 594–604. http://dx.doi.org/10.20965/jdr.2013.p0594.

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The tsunami following the 2011 off the Pacific Coast of Tohoku Earthquake devastated ports in the Tohoku and Kanto regions of Japan. Even Iwate Prefecture in Tohoku, which had experienced many tsunami disasters and prepared tsunami disaster mitigation measures, incurred great devastation because the tsunami was both higher than any historically recorded tsunamis and than any estimated tsunamis for disaster management. The tsunami-induced inundation destroyed many of wooden houses widely found in the area. Many ships and boats at sea were displaced by the tsunami, with some vessels colliding wi

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De Martini, P. M., M. S. Barbano, D. Pantosti, et al. "Geological evidence for paleotsunamis along eastern Sicily (Italy): an overview." Natural Hazards and Earth System Sciences 12, no. 8 (2012): 2569–80. http://dx.doi.org/10.5194/nhess-12-2569-2012.

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Abstract. We present geological evidence for paleotsunamis along the ~230 km-long coast of eastern Sicily (Italy); combining this information with historical data, we reconstruct a unique history of tsunami inundations. We integrate data on 38 paleotsunami deposits (from fine sand layers to boulders) collected at 11 sites (one offshore). The geological data record traces of large tsunamis which have occurred during the past 4 millennia. Chronological constrains include 14C, 210Pb and 137Cs, OSL and tephrochronology. When compatible, the age of the paleotsunami deposits is associated to histori

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Mazinani, Iman, Zubaidah Binti Ismail, and Ahmad Mustafa Hashim. "An Overview of Tsunami Wave Force on Coastal Bridge and Open Challenges." Journal of Earthquake and Tsunami 09, no. 02 (2015): 1550006. http://dx.doi.org/10.1142/s1793431115500062.

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Hundreds of bridges were washed away or heavily damaged by tsunami waves during the two tragic tsunamis that devastated the west coast of Sumatra Island, Indonesia, in 2004 and North East Japan in 2011. This vast damage was a clear warning for scientists to pay more attention and investigate, assess and mitigate the effect of tsunami loads on various structures including bridges. This multidisciplinary research presents a review of the literature and comprehensive evaluation on previous research concerning the effect of tsunamis on bridges. It begins with the basic evaluation of tsunami loads

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Zanker, Marek, Bilal Naji Alhasnawi, František Babič, et al. "Connecting Soft and Hard: An Integrating Role of Systems Dynamics in Tsunami Modeling and Simulation." Sci 6, no. 3 (2024): 39. http://dx.doi.org/10.3390/sci6030039.

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Modeling and simulation have been used to study tsunamis for several decades. We created a review to identify the software and methods used in the last decade of tsunami research. The systematic review was based on the PRISMA methodology. We analyzed 105 articles and identified 27 unique software and 45 unique methods. The reviewed articles can be divided into the following basic categories: exploring historical tsunamis based on tsunami deposits, modeling tsunamis in 3D space, identifying tsunami impacts, exploring relevant variables for tsunamis, creating tsunami impact maps, and comparing s

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Omira, R., D. Vales, C. Marreiros, and F. Carrilho. "Large submarine earthquakes that occurred worldwide in a 1-year period (June 2013 to June 2014) – a contribution to the understanding of tsunamigenic potential." Natural Hazards and Earth System Sciences 15, no. 10 (2015): 2183–200. http://dx.doi.org/10.5194/nhess-15-2183-2015.

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Abstract. This paper is a contribution to a better understanding of the tsunamigenic potential of large submarine earthquakes. Here, we analyze the tsunamigenic potential of large earthquakes which have occurred worldwide with magnitudes around Mw = 7.0 and greater during a period of 1 year, from June 2013 to June 2014. The analysis involves earthquake model evaluation, tsunami numerical modeling, and sensors' records analysis in order to confirm the generation of a tsunami (or lack thereof) following the occurrence of an earthquake. We also investigate and discuss the sensitivity of tsunami g

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Tappin, D. R., P. Watts, and S. T. Grilli. "The Papua New Guinea tsunami of 17 July 1998: anatomy of a catastrophic event." Natural Hazards and Earth System Sciences 8, no. 2 (2008): 243–66. http://dx.doi.org/10.5194/nhess-8-243-2008.

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Abstract. The Papua New Guinea (PNG) tsunami of July 1998 was a seminal event because it demonstrated that relatively small and relatively deepwater Submarine Mass Failures (SMFs) can cause devastating local tsunamis that strike without warning. There is a comprehensive data set that proves this event was caused by a submarine slump. Yet, the source of the tsunami has remained controversial. This controversy is attributed to several causes. Before the PNG event, it was questionable as to whether SMFs could cause devastating tsunamis. As a result, only limited modelling of SMFs as tsunami sourc

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Sriyanto, Sesar Prabu Dwi, Ping Astony Angmalisang, Lusia Manu, et al. "Automatic tsunami arrival detection algorithm for sea level observation system." Jurnal Teknologi dan Sistem Komputer 9, no. 4 (2021): 180–90. http://dx.doi.org/10.14710/jtsiskom.2021.14009.

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The automatic tsunami detection algorithm needs to be put in the sea level observation system to give society a quick warning when a tsunami happens. This study designs an automatic tsunami detection algorithm consisting of three sub-algorithm: spike elimination, gap data filling, and tsunami detection. Spike elimination and gap data filling are used to improve the sea level data, which is often disturbed by spikes and gap data due to electronic factors. This algorithm was tested using time-series tide gauge data that contain tsunami waveforms in Indonesia from 2007 to 2019. About 54.52 % of 4

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Chen, Guan-Yu, Chin-Chih Liu, Janaka J. Wijetunge, and Yi-Fung Wang. "Reciprocal Green's functions and the quick forecast of submarine landslide tsunamis." Natural Hazards and Earth System Sciences 20, no. 3 (2020): 771–81. http://dx.doi.org/10.5194/nhess-20-771-2020.

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Abstract. Although tsunamis generated by submarine mass failure are not as common as those induced by submarine earthquakes, sometimes the generated tsunamis are higher than a seismic tsunami in the area close to the tsunami source, and the forecast is much more difficult. In the present study, reciprocal Green's functions (RGFs) are proposed as a useful tool in the forecast of submarine landslide tsunamis. The forcing in the continuity equation due to depth change in a landslide is represented by the temporal derivative of the water depth. After a convolution with reciprocal Green's function,

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Godin, O. A., V. G. Irisov, R. R. Leben, B. D. Hamlington, and G. A. Wick. "Variations in sea surface roughness induced by the 2004 Sumatra-Andaman tsunami." Natural Hazards and Earth System Sciences 9, no. 4 (2009): 1135–47. http://dx.doi.org/10.5194/nhess-9-1135-2009.

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Abstract. Observations of tsunamis away from shore are critically important for improving early warning systems and understanding of tsunami generation and propagation. Tsunamis are difficult to detect and measure in the open ocean because the wave amplitude there is much smaller than it is close to shore. Currently, tsunami observations in deep water rely on measurements of variations in the sea surface height or bottom pressure. Here we demonstrate that there exists a different observable, specifically, ocean surface roughness, which can be used to reveal tsunamis away from shore. The first

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Pakoksung, Kwanchai, Anawat Suppasri, and Fumihiko Imamura. "Probabilistic Tsunami Hazard Analysis of Inundated Buildings Following a Subaqueous Volcanic Explosion Based on the 1716 Tsunami Scenario in Taal Lake, Philippines." Geosciences 11, no. 2 (2021): 92. http://dx.doi.org/10.3390/geosciences11020092.

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A probabilistic hazard analysis of a tsunami generated by a subaqueous volcanic explosion was performed for Taal Lake in the Philippines. The Taal volcano at Taal Lake is an active volcano on Luzon Island in the Philippines, and its eruption would potentially generate tsunamis in the lake. This study aimed to analyze a probabilistic tsunami hazard of inundated buildings for tsunami mitigation in future scenarios. To determine the probabilistic tsunami hazard, different explosion diameters were used to generate tsunamis of different magnitudes in the TUNAMI-N2 model. The initial water level in

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Dohi, Yuji, Hiromitsu Nakamura, and Hiroyuki Fujiwara. "Development of the Japan Tsunami Hazard Information Station (J-THIS)." Journal of Disaster Research 17, no. 6 (2022): 934–43. http://dx.doi.org/10.20965/jdr.2022.p0934.

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To promote effective disaster countermeasures against possible tsunamis in the future, an effective application of tsunami hazard information is important. However, there were insufficient systems available for utilizing and applying various tsunami hazard information. Based on this situation, we developed and have been improving the Japan Tsunami Hazard Information Station (J-THIS), an open Web system available as a public portal for providing tsunami hazard information based on the probabilistic tsunami hazard assessment (PTHA). It provides tsunami hazard information through the following se

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Börner, T., M. Galletti, N. P. Marquart, and G. Krieger. "Concept study of radar sensors for near-field tsunami early warning." Natural Hazards and Earth System Sciences 10, no. 9 (2010): 1957–64. http://dx.doi.org/10.5194/nhess-10-1957-2010.

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Abstract. Off-shore detection of tsunami waves is a critical component of an effective tsunami early warning system (TEWS). Even more critical is the off-shore detection of local tsunamis, namely tsunamis that strike coastal areas within minutes after generation. In this paper we propose new concepts for near-field tsunami early detection, based on innovative and up-to-date microwave remote sensing techniques. We particularly introduce the NESTRAD (NEar-Space Tsunami RADar) concept, which consists of a real aperture radar accommodated inside a stationary stratospheric airship providing continu

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M, A. Sarker. "A Case Study on Numerical Modelling of Tsunamis in Peru and Northern Chile." European Journal of Advances in Engineering and Technology 6, no. 12 (2019): 13–33. https://doi.org/10.5281/zenodo.10692064.

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<strong>ABSTRACT</strong> Royal HaskoningDHV (hereafter RHDHV) has set up a regional tsunami model covering most of Peru and the northern Chile a) to assess the tsunami risks in the region and b) to carry out numerical modelling of tsunami wave propagation to derive tsunami levels and currents required for designing marine structures and facilities. This paper describes the tsunami risk assessment, derivation of initial tsunami conditions and methodology of tsunami wave propagation modelling and run-up level calculations. The 2001 earthquake (approximate epicentre 16.2°S, 73.8°W) was u

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Bernard, Eddie, and Vasily Titov. "Improving Tsunami Forecast Skill Using Deep Ocean Observations." Marine Technology Society Journal 40, no. 4 (2006): 86–89. http://dx.doi.org/10.4031/002533206787353223.

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Tsunamis are an ever-present threat to lives and property along the coasts of most of the world's oceans. The Sumatra tsunami of 26 December 2004, which killed over 230,000 people, compels us to be more proactive in developing ways to reduce tsunami impact on our global society. Since 1997, the United States has used a joint state/federal partnership to reduce tsunami hazards along US coastlines—the National Tsunami Hazard Mitigation Program. By integrating hazard assessment, warning guidance and mitigation activities, the program has created a roadmap and a set of tools to make communities mo

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Mano, Akira, Hitoshi Tanaka, and Keiko Udo. "DESTRUCTION MECHANISM OF COASTAL LEVEES ON THE SENDAI BAY COAST HIT BY THE 2011 TSUNAMI." Coastal Engineering Proceedings 1, no. 33 (2012): 14. http://dx.doi.org/10.9753/icce.v33.management.14.

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A mega tsunami hit the Sendai Bay Coast on March 11, 2011, overtopped coastal levees and intruded into far inland while sweeping houses, people and others away. Eighty percent of the levees which rimmed the coast to protect the land from storm surges together with the wind waves were broken in various degrees of damage by the tsunami. The national and local governments decided to rebuild the levees to be durable even for mega tsunamis. This requirement motivates us to find the destruction mechanism of the coastal levees. We conducted field investigations and collected the tsunami records, aeri

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Selva, J., A. Amato, A. Armigliato, et al. "Tsunami risk management for crustal earthquakes and non-seismic sources in Italy." La Rivista del Nuovo Cimento 44, no. 2 (2021): 69–144. http://dx.doi.org/10.1007/s40766-021-00016-9.

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AbstractDestructive tsunamis are most often generated by large earthquakes occurring at subduction interfaces, but also other “atypical” sources—defined as crustal earthquakes and non-seismic sources altogether—may cause significant tsunami threats. Tsunamis may indeed be generated by different sources, such as earthquakes, submarine or coastal landslides, volcano-related phenomena, and atmospheric perturbations. The consideration of atypical sources is important worldwide, but it is especially prominent in complex tectonic settings such as the Mediterranean, the Caribbean, or the Indonesian a

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Rakowsky, N., A. Androsov, A. Fuchs, et al. "Operational tsunami modelling with TsunAWI – recent developments and applications." Natural Hazards and Earth System Sciences 13, no. 6 (2013): 1629–42. http://dx.doi.org/10.5194/nhess-13-1629-2013.

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Abstract. In this article, the tsunami model TsunAWI (Alfred Wegener Institute) and its application for hindcasts, inundation studies, and the operation of the tsunami scenario repository for the Indonesian tsunami early warning system are presented. TsunAWI was developed in the framework of the German-Indonesian Tsunami Early Warning System (GITEWS) and simulates all stages of a tsunami from the origin and the propagation in the ocean to the arrival at the coast and the inundation on land. It solves the non-linear shallow water equations on an unstructured finite element grid that allows to c

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Sitinjak, King Princes Happy, Agiel Malik Ibrahim, Gusti Mahendra Putra, Teuku Mahlil, Nurul Fajar Januriyadi, and Teuku Muhammad Rasyif. "Probabilistic Analysis of the Tsunami Disaster on the Vulnerability Level of Buildings in Painan City, West Sumatra based on the Earthquake Ratio with the Logic Tree Method." E3S Web of Conferences 447 (2023): 01010. http://dx.doi.org/10.1051/e3sconf/202344701010.

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Indonesia is an archipelagic country stretching from Sabang to Merauke and is located at the convergence of the most complex and active tectonic plates in the world, namely Eurasia, Indo-Australia, and the Pacific. One of the regions with a high probability of earthquakes and high tsunamis is the island of Sumatra, which lies between the Eurasian and Indo-Australian plates. Painan city is located in West Sumatra Province, where it is surrounded by three megathrust zones: the Nias-Simeulue segment, Mentawai-Siberut segment, and Mentawai-Pagai segment. These three megathrust zones, namely Nias-S

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Tsushima, Hiroaki, and Yusaku Ohta. "Review on Near-Field Tsunami Forecasting from Offshore Tsunami Data and Onshore GNSS Data for Tsunami Early Warning." Journal of Disaster Research 9, no. 3 (2014): 339–57. http://dx.doi.org/10.20965/jdr.2014.p0339.

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This paper reviews recent studies on methods of realtime forecasting for near-field tsunamis that use either offshore tsunami data or onshore global navigation satellite system (GNSS) data. Tsunami early warning systems for near-field coastal communities are vital because evacuation time before tsunami arrival is usually very short. We focus on forecasting between the occurrence of a tsunamigenic earthquake and the arrival of the first tsunami at a near-field coast – typically a few tens of minutes or less after the earthquake. Offshore tsunami measurement that provides coastal communities wit

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Imamura, Fumihiko, and Ikuo Abe. "History and Challenge of Tsunami Warning Systems in Japan." Journal of Disaster Research 4, no. 4 (2009): 595–99. http://dx.doi.org/10.20965/jdr.2009.p0267.

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History of development of Tsunami Warning System in Japan started in 1952 after the tsunami warning/forecast system formulated at Sanriku is introduced. The system estimated the earthquake epicenter and magnitude, and issued the forecast by referring to the tsunami forecast maps. In 1999, the Japan Meteorological Agency (JMA) has introduced the computer-aided simulation system for quantitative tsunami forecasting, in which tsunami arrival times and heights are simulated and stored in the database for forecasting tsunamis. The JMA has been further updating the system and now can issue the forec

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Lee, Juh-Whan, Jennifer L. Irish, and Robert Weiss. "NEAR-FIELD TSUNAMI FORECASTING BASED ON A TSUNAMI RUN-UP RESPONSE FUNCTION." Coastal Engineering Proceedings, no. 36v (December 28, 2020): 5. http://dx.doi.org/10.9753/icce.v36v.currents.5.

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Since near-field-generated tsunamis can arrive within a few minutes to coastal communities and cause immense damage to life and property, tsunami forecasting systems should provide not only accurate but also rapid tsunami run-up estimates. For this reason, most of the tsunami forecasting systems rely on pre-computed databases, which can forecast tsunamis rapidly by selecting the most closely matched scenario from the databases. However, earthquakes not included in the database can occur, and the resulting error in the tsunami forecast may be large for these earthquakes. In this study, we prese

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