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Journal articles on the topic 'Keelung Earthquake and Tsunami'

Author: Grafiati

Published: 4 June 2025

Last updated: 14 July 2025

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1

Cheng, Shih-Nan, Chen-Fang Shaw, and Yeong Tein Yeh. "Reconstructing the 1867 Keelung Earthquake and Tsunami Based on Historical Documents." Terrestrial, Atmospheric and Oceanic Sciences 27, no. 3 (2016): 431. http://dx.doi.org/10.3319/tao.2016.03.18.01(tem).

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2

Meng, Qingjun, Benchun Duan, and Bin Luo. "Using a dynamic earthquake simulator to explore tsunami earthquake generation." Geophysical Journal International 229, no. 1 (2021): 255–73. http://dx.doi.org/10.1093/gji/ggab470.

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SUMMARY Observations of historical tsunami earthquakes reveal that ruptures of these earthquakes propagate slowly at shallow depth with longer duration, depletion in high-frequency radiation and larger discrepancy of Mw–Ms than ordinary megathrust earthquakes. They can effectively generate tsunami and lead to huge damage to regional populated areas near the coast. In this study, we use a recently developed dynamic earthquake simulator to explore tsunami earthquake generation from a physics-based modelling point of view. We build a shallow-dipping subduction zone model in which locally locked,

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3

Tanioka, Y., and T. Seno. "Detailed analysis of tsunami waveforms generated by the 1946 Aleutian tsunami earthquake." Natural Hazards and Earth System Sciences 1, no. 4 (2001): 171–75. http://dx.doi.org/10.5194/nhess-1-171-2001.

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Abstract. The 1946 Aleutian earthquake was a typical tsunami earthquake which generated abnormally larger tsunami than expected from its seismic waves. Previously, Johnson and Satake (1997) estimated the fault model of this earthquake using the tsunami waveforms observed at tide gauges. However, they did not model the second pulse of the tsunami at Honolulu although that was much larger than the first pulse. In this paper, we numerically computed the tsunami waveforms using the linear Boussinesq equation to determine the fault model which explains the observed tsunami waveforms including the l

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4

Matsumoto, Hiroyuki, and Yoshiyuki Kaneda. "Review of Recent Tsunami Observation by Offshore Cabled Observatory." Journal of Disaster Research 4, no. 6 (2009): 489–97. http://dx.doi.org/10.20965/jdr.2009.p0489.

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This paper discusses near- and far-field tsunami observations at the Hokkaido, Japan, offshore cabled observatory, focusing on the 2006 Kuril Island earthquake (Mw 8.3) as a far-field event and the 2008 off-Tokachi earthquake (Mw 6.8) as a near-field event. The Kuril Islands earthquake was detected as a series of tsunami signals by 2 bottom pressure gauges roughly 1 hour after the earthquake. Tsunami amplitudes observed offshore were 3 cm and off-coastal amplitudes were a few tens of centimeters. In the 2008 near-field off-Tokachi earthquake (Mw 6.8), a tsunami signal was detected simultaneous

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5

Tsuboi, Seiji. "Application ofMwpto tsunami earthquake." Geophysical Research Letters 27, no. 19 (2000): 3105–8. http://dx.doi.org/10.1029/2000gl011735.

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6

Qonita, Zulfa, Shofia Karima, Alfi Rusdiansyah, and Ritha Riyandari. "NUMERICAL MODELING OF THE 1998 PAPUA NEW GUINEA TSUNAMI USING THE COMCOT." BAREKENG: Jurnal Ilmu Matematika dan Terapan 18, no. 1 (2024): 0349–60. http://dx.doi.org/10.30598/barekengvol18iss1pp0349-0360.

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The Papua New Guinea tsunami of 1998 is a unique phenomenon because the source of the tsunami propagation has been speculated. There was a 7.1-magnitude earthquake on July 17, 1998, at 18:49 WIT before the tsunami hit the Aitape area. However, previous studies have shown that the leading cause of the tsunami was not the earthquake but a submarine landslide. One of the steps to simulating the event is to do tsunami modeling. A tsunami propagation simulation will be conducted using Cornell Multi-grid Coupled Tsunami (COMCOT). This simulation was carried out with three scenarios to see which had

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7

Sofian Wira Hadi, Ibnu Alfarobi, and Irmawati. "Implementation of Logistic Regression Algorithm in Predicting Tsunami Potential on Earthquake Data Parameters." Journal of Artificial Intelligence and Engineering Applications (JAIEA) 4, no. 2 (2025): 1217–24. https://doi.org/10.59934/jaiea.v4i2.871.

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This study presents the evaluation and testing of a logistic regression model for predicting earthquake-related features, including earthquake depth, magnitude, and tsunami potential. The model achieved high accuracy in predicting earthquake depth categories (99.82%) and earthquake magnitude (99.84%), but faced challenges with low recall for tsunami prediction (50%) due to class imbalance. Evaluation results showed that the model struggled to predict tsunami occurrence accurately, as the dataset contained a disproportionate number of 'no tsunami' instances. Despite these limitations, the model

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8

Kaneko, Hiroyuki. "Evaluation of Tsunami Disasters Caused by the 1923 Great Kanto Earthquake." Journal of Disaster Research 18, no. 6 (2023): 578–89. http://dx.doi.org/10.20965/jdr.2023.p0578.

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The 1923 Great Kanto Earthquake is one of the earthquakes that have occurred multiple times in the past as part of the Sagami Trough earthquakes. These earthquakes, which occurred at the plate boundary, occurred in 1495 (Meio Earthquake), 1703 (Genroku Earthquake), and again in 1923, causing significant damage to various areas in Kanto, including Tokyo and Yokohama, and it came to be known as the Great Kanto Earthquake. The Sagami Trough earthquakes have consistently brought strong tsunami disasters to various areas in Kanto, extending from the Sagami Bay coast to the Boso Peninsula, and resid

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9

Tanioka, Yuichiro, Hamzah Latief, Haris Sunendar, Aditya Riadi Gusman, and Shunichi Koshimura. "Tsunami Hazard Mitigation at Palabuhanratu, Indonesia." Journal of Disaster Research 7, no. 1 (2012): 19–25. http://dx.doi.org/10.20965/jdr.2012.p0019.

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Several large earthquakes have recently occurred along the Sumatra-Java subduction zone, the 2004 great Sumatra-Andaman earthquake, the 2005 great Nias earthquake, the 2006 West Java tsunami earthquake, the 2007 great Bengkulu earthquake, and the 2010Mentawai tsunami earthquakes. Serious tsunami disasters were caused by the great underthrust earthquakes which ruptured the plate interface near the trench such as the 2004 Sumatra-Andaman, 2006West Java, 2010Mentawai earthquakes. At Palabuhanratu, maximum tsunami height distribution and inundation areas were computed from expected fault models lo

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10

Pradjoko, Eko, Lukita Wardani, Hartana, Heri Sulistiyono, and Syamsidik. "The prediction of tsunami travel time to Mataram City Indonesia based on North Lombok earthquake as the initial condition." MATEC Web of Conferences 229 (2018): 04007. http://dx.doi.org/10.1051/matecconf/201822904007.

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The past earthquake records in North Lombok show the high level of earthquake hazard in this area. The maximum magnitude of the earthquake was 6.4 Mw on May 30th, 1979. But, there were no tsunami events records due to those earthquakes. Nevertheless, this area is very close to Mataram City (province capital city) and tourism area. Therefore, the assessment of tsunami hazard is very important. The tsunami simulation was conducted by using COMCOT Model, which is based on the North Lombok Earthquake as the initial condition. The simulation result shows the prediction of tsunami travel time is abo

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11

Goda, Katsuichiro, and Kamilla Abilova. "Tsunami hazard warning and risk prediction based on inaccurate earthquake source parameters." Natural Hazards and Earth System Sciences 16, no. 2 (2016): 577–93. http://dx.doi.org/10.5194/nhess-16-577-2016.

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Abstract. This study investigates the issues related to underestimation of the earthquake source parameters in the context of tsunami early warning and tsunami risk assessment. The magnitude of a very large event may be underestimated significantly during the early stage of the disaster, resulting in the issuance of incorrect tsunami warnings. Tsunamigenic events in the Tohoku region of Japan, where the 2011 tsunami occurred, are focused on as a case study to illustrate the significance of the problems. The effects of biases in the estimated earthquake magnitude on tsunami loss are investigate

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12

Goda, K., and K. Abilova. "Tsunami hazard warning and risk prediction based on inaccurate earthquake source parameters." Natural Hazards and Earth System Sciences Discussions 3, no. 12 (2015): 7487–525. http://dx.doi.org/10.5194/nhessd-3-7487-2015.

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Abstract. This study investigates the issues related to underestimation of the earthquake source parameters in the context of tsunami early warning and tsunami risk assessment. The magnitude of a very large event may be underestimated significantly during the early stage of the disaster, resulting in the issuance of incorrect tsunami warnings. Tsunamigenic events in the Tohoku region of Japan, where the 2011 tsunami occurred, are focused on as a case study to illustrate the significance of the problems. The effects of biases in the estimated earthquake magnitude on tsunami loss are investigate

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13

Putri, Aprilia Manggala, Aditya Saputra, and Afif Ari Wibowo. "Study of tsunami source as preparation for tsunami modeling in Sulawesi." IOP Conference Series: Earth and Environmental Science 1314, no. 1 (2024): 012126. http://dx.doi.org/10.1088/1755-1315/1314/1/012126.

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Abstract The Sulawesi region is prone to earthquakes due to the existence of a Subduction Zone which can generate a tsunami so that tsunami modeling is important as a tsunami mitigation effort in the future. The purpose of this research is to study the maximum earthquake potential in the Sulawesi Subduction Zone and to model the tsunami source with a multi-deformation scheme. The research method is a literature study using the 2017 National Earthquake Center book, tsunami modeling using an earthquake scenario with a magnitude of 8.5 Mw, a depth 20 Km, fault dimension modeling using global mapp

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14

Saito, Tatsuhiko, and Tatsuya Kubota. "Tsunami Modeling for the Deep Sea and Inside Focal Areas." Annual Review of Earth and Planetary Sciences 48, no. 1 (2020): 121–45. http://dx.doi.org/10.1146/annurev-earth-071719-054845.

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This article reviews tsunami modeling and its relation to recent developments of deep-ocean observations. Unlike near-coast observations, deep-ocean observations have enabled the capture of short-wavelength dispersive tsunamis and reflected waves from the coast. By analyzing these waves, researchers can estimate tsunami sources and earthquake slip distributions more reliably with higher spatial resolution. In addition, fractional tsunami speed reduction due to the elasticity of the Earth medium is now clearly detected. Densely and widely distributed tsunami sensors make it possible to observe

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15

Suppasri, A., F. Imamura, and S. Koshimura. "Tsunamigenic Ratio of the Pacific Ocean earthquakes and a proposal for a Tsunami Index." Natural Hazards and Earth System Sciences 12, no. 1 (2012): 175–85. http://dx.doi.org/10.5194/nhess-12-175-2012.

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Abstract. The Pacific Ocean is the location where two-thirds of tsunamis have occurred, resulting in a great number of casualties. Once information on an earthquake has been issued, it is important to understand if there is a tsunami generation risk in relation with a specific earthquake magnitude or focal depth. This study proposes a Tsunamigenic Ratio (TR) that is defined as the ratio between the number of earthquake-generated tsunamis and the total number of earthquakes. Earthquake and tsunami data used in this study were selected from a database containing tsunamigenic earthquakes from pri

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16

M, A. Sarker (PhD). "Initial Tsunami Levels in the Philippine Trench (Philippines) from 1 in 100 Year and 1 in 1000 Year Return Period Earthquakes." European Journal of Advances in Engineering and Technology 9, no. 6 (2022): 1–9. https://doi.org/10.5281/zenodo.10645889.

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<strong>ABSTRACT</strong> A major earthquake in the Philippine Trench in Philippines cannot be ruled out. In this paper initial tsunami levels from the earthquake parameters by Salcedo [1] have been generated. The initial tsunami levels from an 1 in 100 year return period earthquake have been generated to support design of marine structures and facilities. Initial tsunami levels from an 1 in 1000 year return period earthquake have also been generated to support emergency and rescue planning and operation. The initial tsunami levels have been generated using the MIKE21 Toolbox developed by DHI

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17

M, A. Sarker (PhD). "Initial Tsunami Levels in the Negros Trench (Philippines) from 1 in 100 Year and 1 in 1000 Year Return Period Earthquakes." European Journal of Advances in Engineering and Technology 9, no. 6 (2022): 18–26. https://doi.org/10.5281/zenodo.10645904.

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<strong>ABSTRACT</strong> A major earthquake in the Negros Trench in Philippines cannot be ruled out. In this paper initial tsunami levels from the earthquake parameters by Salcedo [1] have been generated. The initial tsunami levels from an 1 in 100 year return period earthquake have been generated to support design of marine structures and facilities. Initial tsunami levels from an 1 in 1000 year return period earthquake have also been generated to support emergency and rescue planning and operation. The initial tsunami levels have been generated using the MIKE21 Toolbox developed by DHI [2].

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18

M, A. Sarker (PhD). "Initial Tsunami Levels in the Sulu Trench (Sulu Sea in Philippines) from 1 in 100 Year and 1 in 1000 Year Return Period Earthquakes." European Journal of Advances in Engineering and Technology 9, no. 6 (2022): 27–35. https://doi.org/10.5281/zenodo.10645906.

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<strong>ABSTRACT</strong> A major earthquake in the Sulu Trench in the Sulu Sea cannot be ruled out. In this paper initial tsunami levels from the earthquake parameters by Salcedo [1] have been generated. The initial tsunami levels from an 1 in 100 year return period earthquake have been generated to support design of marine structures and facilities. Initial tsunami levels from an 1 in 1000 year return period earthquake have also been generated to support emergency and rescue planning and operation. The initial tsunami levels have been generated using the MIKE21 Toolbox developed by DHI [2].

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19

M, A. Sarker (PhD). "Initial Tsunami Levels in the Cotabato Trench (Philippines) from 1 in 100 Year and 1 in 1000 Year Return Period Earthquakes." European Journal of Advances in Engineering and Technology 9, no. 7 (2022): 11–19. https://doi.org/10.5281/zenodo.10646136.

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<strong>ABSTRACT</strong> A major earthquake in the Cotabato Trench in Philippines cannot be ruled out. In this paper initial tsunami levels from the earthquake parameters by Salcedo [1] have been generated. The initial tsunami levels from an 1 in 100 year return period earthquake have been generated to support design of marine structures and facilities. Initial tsunami levels from an 1 in 1000 year return period earthquake have also been generated to support emergency and rescue planning and operation. The initial tsunami levels have been generated using the MIKE21 Toolbox developed by DHI [2

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20

M, A. Sarker (PhD). "Initial Tsunami Levels in the East Luzon Trough (Philippines) from 1 in 100 Year and 1 in 1000 Year Return Period Earthquakes." European Journal of Advances in Engineering and Technology 9, no. 7 (2022): 20–27. https://doi.org/10.5281/zenodo.10646154.

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<strong>ABSTRACT</strong> A major earthquake in the East Luzon Trough in Philippines cannot be ruled out. In this paper initial tsunami levels from the earthquake parameters by Salcedo [1] have been generated. The initial tsunami levels from an 1 in 100 year return period earthquake have been generated to support design of marine structures and facilities. Initial tsunami levels from an 1 in 1000 year return period earthquake have also been generated to support emergency and rescue planning and operation. The initial tsunami levels have been generated using the MIKE21 Toolbox developed by DHI

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21

HIRATA, KENJI. "TSUNAMI AMPLIFICATION ALONG THE EASTERN COAST OF INDIA AND SRI LANKA DUE TO EARTHQUAKE RUPTURE PROPAGATION IN THE SUMATRA-NICOBAR-ANDAMAN TRENCHES." Journal of Earthquake and Tsunami 03, no. 02 (2009): 67–75. http://dx.doi.org/10.1142/s1793431109000469.

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We investigated an effect of earthquake rupture propagation, or tsunami source propagation, on offshore tsunami amplitude through numerical simulations. In the numerical simulations, we used satellite-based real bathymetry and a realistic fault configuration for M9 class great earthquakes, and we allowed an earthquake rupture to propagate one-dimensionally in the long-axis direction of the fault. Various earthquake rupture velocities as well as various fault lengths were tested. A general feature is that the slower the earthquake rupture velocity, the larger the tsunami amplitude. This suggest

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22

Singh, S. K., J. Pacheco, and N. Shapiro. "The earthquake of 16 November, 1925 (Ms=7.0) and the reported tsunami in Zihuatanejo, Mexico." Geofísica Internacional 37, no. 1 (1998): 49–52. http://dx.doi.org/10.22201/igeof.00167169p.1998.37.1.2160.

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   A feasibility study to develop a tsunami alert system for Mexican earthquakes, using broadband seismograms from the National Seismological Service, is currently under way. A first step in this direction is a revision of the Mexican tsunami catalogs. In these catalogs, one of the largest tsunamis of this century is reported in the Port of Zihuatanejo and has been re- lated to an earthquake which occurred on November 16, 1925. This earthquake was located at a distance of about 600 km from Zihuatanejo and had a surface-wave magnitude, Ms, of 7.0. In developing a tsunami alert

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23

Manneela, Sunanda, T. Srinivasa Kumar, and Shailesh R. Nayak. "NEAR REAL-TIME DETERMINATION OF EARTHQUAKE SOURCE PARAMETERS FOR TSUNAMI EARLY WARNING FROM GEODETIC OBSERVATIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 22, 2016): 117–20. http://dx.doi.org/10.5194/isprs-archives-xli-b8-117-2016.

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Exemplifying the tsunami source immediately after an earthquake is the most critical component of tsunami early warning, as not every earthquake generates a tsunami. After a major under sea earthquake, it is very important to determine whether or not it has actually triggered the deadly wave. The near real-time observations from near field networks such as strong motion and Global Positioning System (GPS) allows rapid determination of fault geometry. Here we present a complete processing chain of Indian Tsunami Early Warning System (ITEWS), starting from acquisition of geodetic raw data, proce

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Manneela, Sunanda, T. Srinivasa Kumar, and Shailesh R. Nayak. "NEAR REAL-TIME DETERMINATION OF EARTHQUAKE SOURCE PARAMETERS FOR TSUNAMI EARLY WARNING FROM GEODETIC OBSERVATIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 22, 2016): 117–20. http://dx.doi.org/10.5194/isprsarchives-xli-b8-117-2016.

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Exemplifying the tsunami source immediately after an earthquake is the most critical component of tsunami early warning, as not every earthquake generates a tsunami. After a major under sea earthquake, it is very important to determine whether or not it has actually triggered the deadly wave. The near real-time observations from near field networks such as strong motion and Global Positioning System (GPS) allows rapid determination of fault geometry. Here we present a complete processing chain of Indian Tsunami Early Warning System (ITEWS), starting from acquisition of geodetic raw data, proce

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25

Aziz, A. F., N. H. Mardi, M. A. Malek, W. K. Tan, and S. Y. Teh. "Determination of the Most Significant Fault Parameters for Manila Trench Earthquake Tsunami." International Journal of Engineering & Technology 7, no. 4.35 (2018): 248. http://dx.doi.org/10.14419/ijet.v7i4.35.22741.

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Manila Trench subduction zone is capable to produce high magnitude of earthquake event that can generate a deadliest tsunami disaster. The 2006 tsunami source workshop conducted by United States Geological Survey (USGS) had classified Manila Trench as the most hazardous potential earthquake generated tsunami source in South China Sea. The giant megathrust rupture from Manila Trench has the ability to create an earthquake as powerful as the Great Tohoku tsunami in 2011 and the Indian Ocean tsunami in 2004. This technical paper aims to review the fault parameters used by different researchers in

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Muhammad, Ario, Katsuichiro Goda, Nicholas A. Alexander, Widjo Kongko, and Abdul Muhari. "Tsunami evacuation plans for future megathrust earthquakes in Padang, Indonesia, considering stochastic earthquake scenarios." Natural Hazards and Earth System Sciences 17, no. 12 (2017): 2245–70. http://dx.doi.org/10.5194/nhess-17-2245-2017.

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Abstract. This study develops tsunami evacuation plans in Padang, Indonesia, using a stochastic tsunami simulation method. The stochastic results are based on multiple earthquake scenarios for different magnitudes (Mw 8.5, 8.75, and 9.0) that reflect asperity characteristics of the 1797 historical event in the same region. The generation of the earthquake scenarios involves probabilistic models of earthquake source parameters and stochastic synthesis of earthquake slip distributions. In total, 300 source models are generated to produce comprehensive tsunami evacuation plans in Padang. The tsun

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Tomita, Takashi, Kentaro Kumagai, Cyril Mokrani, Rodrigo Cienfuegos, and Hisashi Matsui. "Tsunami and Seismic Damage Caused by the Earthquake Off Iquique, Chile, in April, 2014." Journal of Earthquake and Tsunami 10, no. 02 (2016): 1640003. http://dx.doi.org/10.1142/s1793431116400030.

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On Tuesday, April 1, 2014, at 8:46 p.m. local time in Chile, a subduction earthquake of Mw 8.2 occurred about 100[Formula: see text]km northwest of the city of Iquique, where the Nazca plate subducts beneath the South American plate. This earthquake triggered a tsunami, which hit coastal areas in northern Chile. A joint Japan–Chile team conducted a post-tsunami field survey to measure the height of the tsunami traces and to investigate the damage caused by the earthquake and tsunami. Based on measurements of the tsunami traces, it is estimated that a tsunami 3–4[Formula: see text]m in height h

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Okada, Katsuhiro, Kojiro Suzuki, and Taro Arikawa. "CONSIDERATION CONCERNING THE INFLUENCE ON A BREAKWATER IN THE SUPERPOSITION OF EARTHQUAKE AND TSUNAMI." Coastal Engineering Proceedings, no. 35 (June 23, 2017): 43. http://dx.doi.org/10.9753/icce.v35.structures.43.

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When a major earthquake occurs, it can be followed by an incoming tsunami, both of which destroy many structures and cause serious damage. Although the destruction of structures caused by earthquakes and by tsunamis has been studied, the further damage caused by aftershocks after a major earthquake occurring at the time of a tsunami has not been sufficiently reported. In this study, we aimed to determine variations in the influence of different structural shapes when the effects of an earthquake and tsunami are superposed. A sloping structure was shown to reduce the hydrodynamic pressure; even

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Rahmasari, P., D. Kusumastuti, and M. B. Adityawan. "Design of Vertical Evacuation Building at Painan City Using Results From Tsunami Propagation Modeling." IOP Conference Series: Earth and Environmental Science 1244, no. 1 (2023): 012040. http://dx.doi.org/10.1088/1755-1315/1244/1/012040.

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Abstract Fault under the Mentawai Islands has high potential to cause a large earthquake and triggering tsunami. Painan City, is located near the fault. With geographical condition on a bay surrounded by hills in the upstream area, a tsunami may cause a flow channeling effect and increase the inundation distance. An alternative of mitigation effort is to build a Vertical Evacuation Building (VEB) to help the community to reach a safe elevation within the evacuation time. Therefore, VEB should be designed to withstand tsunami impacts and to resist large earthquakes. This study conducts the desi

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Purnama, Anak Agung Diah Satria, I. B. Alit Paramarta, and Muh Soekarno Saputra Rahman. "Estimation of Run Up and Arrival Time of Tsunami in Bali Region Based on TOAST Simulation." BULETIN FISIKA 20, no. 1 (2019): 29. http://dx.doi.org/10.24843/bf.2019.v20.i01.p06.

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Bali Island is an area that is flanked by two zones of earthquake potential to cause a tsunami. In this study produced the estimated tsunami heights (run up) and the tsunami arrival times (ETA) by simulating a tsunami with some magnitude variety of the earthquake using software called TOAST. The estimation is obtained by making a scenario of earthquake from parameters of earthquakes that have occurred and raised tsunami on the Bali Island as a reference. The observation area is in some coastal areas of Bali Island. The maximum value of run up is between 21.16 m to 55.6 m with tsunami arrival t

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Ozaki, Tomoaki. "JMA’s Tsunami Warning for the 2011 Great Tohoku Earthquake and Tsunami Warning Improvement Plan." Journal of Disaster Research 7, sp (2012): 439–45. http://dx.doi.org/10.20965/jdr.2012.p0439.

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The Japan Meteorological Agency (JMA) issued a timely tsunami warning three minutes after the 2011 off the Pacific coast of Tohoku Earthquake (the Great Tohoku Earthquake) occurred at 14:49 (JST) on March 11, 2011. However, predicted tsunami heights at the early stage were greatly underestimated. Based on lessons learned from this earthquake, the JMA plans to improve its tsunami warning.

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Madden, E. H., M. Bader, J. Behrens, et al. "Linked 3-D modelling of megathrust earthquake-tsunami events: from subduction to tsunami run up." Geophysical Journal International 224, no. 1 (2020): 487–516. http://dx.doi.org/10.1093/gji/ggaa484.

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SUMMARY How does megathrust earthquake rupture govern tsunami behaviour? Recent modelling advances permit evaluation of the influence of 3-D earthquake dynamics on tsunami genesis, propagation, and coastal inundation. Here, we present and explore a virtual laboratory in which the tsunami source arises from 3-D coseismic seafloor displacements generated by a dynamic earthquake rupture model. This is achieved by linking open-source earthquake and tsunami computational models that follow discontinuous Galerkin schemes and are facilitated by highly optimized parallel algorithms and software. We pr

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Damayanti, Silvia, Ni Putu Luhur Wedayanti, and I. Gusti Ngurah Jun Arya Wangsa. "Kondisi Jepang Pasca Gempa Bumi dan Tsunami dalam Ehon Kataritsugi Ohanashi Ehon 3-gatsu 11-nichi." Jurnal Sakura : Sastra, Bahasa, Kebudayaan dan Pranata Jepang 6, no. 2 (2024): 214. http://dx.doi.org/10.24843/js.2024.v06.i02.p09.

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This research is titled "Post-Earthquake and Tsunami Conditions in Japan in Ehon". This research aims to understand the post-earthquake and tsunami conditions in Japan following the Tohoku earthquake and tsunami in 2011, as depicted in the ehon series "Kataritsugi Ohanashi Ehon 3-gatsu 11-nichi". Data collection was conducted using library research methods, observation techniques, and note-taking. The data analysis technique used was descriptive analysis, and the presentation of data analysis used both formal and informal methods. The theories employed were the Sociology of Literature Theory a

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Wiji Raharjo, Indriati Retno Palupi,. "Tsunami Modelling Araound Lombok, Indonesia." Journal of Engineering and Scientific Research 2, no. 2 (2020): 64–67. http://dx.doi.org/10.23960/jesr.v2i2.58.

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Lombok earthquake in 2018, raised many failure of facilities that impact to human life. The earthquake was unique, started with mainshock that did not predict by scientist with hypocenter located in Flores Fault in the north of Lombok Island. In 1992, tsunami recorded in Lombok with the hypocenter also in Flores Fault. Based on the information, earthquake in Flores Fault can trigger tsunami. Beside Flores Fault, subduction zone in the south of Lombok is also can be earthquake source and it is not impossible can trigger the tsunami. The purpose of this research is to modeled the tsunami both it

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Shah, A. J., and Vishisht Bhaiya. "Behavior of Building Frames under Tsunami Loading." International Journal of Geology and Earth Sciences 6, no. 3 (2020): 35–38. http://dx.doi.org/10.18178/ijges.6.3.35-38.

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The coastal population has increased significantly over the past several decades. The increased coastal population led to increased coastal development, which led in turn to great number of structures at risk from coastal hazards. In this study, a G+5 storey reinforced concrete building is analyzed for earthquake and tsunami considering different earthquake zones and different tsunami heights. Based on results, it is found that with the increase in earthquake zone number and tsunami height, values of response quantities of interest i.e. base shear, shear force in column, bending moment and ins

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Kolesov, Sergey V., Mikhail A. Nosov, Kirill A. Sementsov, Anna V. Bolshakova, and Gulnaz N. Nurislamova. "Automatic Tsunami Hazard Assessment System: “Tsunami Observer”." Geosciences 12, no. 12 (2022): 455. http://dx.doi.org/10.3390/geosciences12120455.

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The current prototype of a fully automatic earthquake tsunami hazard assessment system, “Tsunami Observer”, is described. The transition of the system to the active phase of operation occurs when information about a strong earthquake (Mw ≥ 6.0) is received. In the first stage, the vector field of coseismic displacements of the Earth’s crust is calculated by using the Okada formulas. In the calculations, use is made of data on the coordinates, the seismic moment, the focal mechanism, and the depth of the earthquake, as well as empirical patterns. In the second stage, the initial elevation of th

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Pranantyo, I. R., A. Cipta, H. A. Shiddiqi, and M. Heidarzadeh. "Source reconstruction of the 1969 Majene, Sulawesi earthquake and tsunami: A preliminary study." IOP Conference Series: Earth and Environmental Science 873, no. 1 (2021): 012054. http://dx.doi.org/10.1088/1755-1315/873/1/012054.

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Abstract We studied the February 23rd, 1969 M7.0 Majene, Sulawesi earthquake and tsunami. It was followed by tsunami reported at five locations. At least 64 people were killed and severe damage on infrastructures were reported in Majene region. Based on damage data, we estimated that the maximum intensity of the earthquake was MMI VIII. Focal mechanisms, derived using first motion polarity analysis, indicated that the earthquake had a thrust mechanism. Furthermore, we built hypothetical earthquake scenarios based on a rectangular fault plane of 40 km × 20 km with a homogeneous slip model of 1.

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Qiu, Yingqing, and Henry Benjamin Mason. "Pore Water Pressure Response of Fully Saturated Soil Beds during Earthquake–Tsunami Multi‐Hazards." Bulletin of the Seismological Society of America 109, no. 5 (2019): 1785–96. http://dx.doi.org/10.1785/0120190031.

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Abstract Soil liquefaction causes significant damage to coastal infrastructure and buildings worldwide. Strong earthquake shaking can cause soil liquefaction in fully saturated sand deposits. Also, tsunamis can induce liquefaction, as well as enhanced sediment transport and scour, in coastal areas. To understand soil liquefaction potential during an earthquake–tsunami multi‐hazard, we develop a numerical model to predict the multi‐hazard induced excess pore water pressures. We calibrate and verify the numerical model by comparing results with laboratory experiments. Then, we perform numerical

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Wang, Yuchen, Kenji Satake, Takuto Maeda, Masanao Shinohara, and Shin’ichi Sakai. "A Method of Real-Time Tsunami Detection Using Ensemble Empirical Mode Decomposition." Seismological Research Letters 91, no. 5 (2020): 2851–61. http://dx.doi.org/10.1785/0220200115.

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Abstract We propose a method of real-time tsunami detection using ensemble empirical mode decomposition (EEMD). EEMD decomposes the time series into a set of intrinsic mode functions adaptively. The tsunami signals of ocean-bottom pressure gauges (OBPGs) are automatically separated from the tidal signals, seismic signals, as well as background noise. Unlike the traditional tsunami detection methods, our algorithm does not need to make a prediction of tides. The application to the actual data of cabled OBPGs off the Tokohu coast shows that it successfully detects the tsunami from the 2016 Fukus

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Zaler, Andina, and Nora Eka Putri. "Efektivitas Pelaksanaan Tsunami Safe Zone Terhadap Masyarakat KotaPadang." Jurnal Teori dan Riset Administrasi Publik 6, no. 2 (2022): 78–85. http://dx.doi.org/10.24036/jtrap.v6i2.84.

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An earthquake with the potential for a tsunami is a disaster that needs to be anticipated, especially the city of Padang, which is an earthquake-prone area with the potential for a tsunami. Considering the potential for this very dangerous disaster, of course it is necessary to make efforts to reduce disaster risk in order to prevent or at least anticipate the number of victims, both property and human life. Efforts to reduce disaster risk for the safety of human life, when an earthquake with a potential tsunami occurs, tsunami evacuation instructions have been installed by the Padang City Reg

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Chen, Guan-Yu, Yung-Fung Chiu, Jing-Hua Lin, Chin-Chu Liu, Yi-Wei Chang, and Cheng-Jia Lien. "Combining Tsunami Hazard and Vulnerability on the Assessment of Tsunami Inundation Probability in Taiwan." Journal of Earthquake and Tsunami 08, no. 03 (2014): 1440003. http://dx.doi.org/10.1142/s179343111440003x.

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As earthquake and tsunami are closely related, the probability of tsunami hazard had been done by extending the approach used in earthquakes. However, the hazard of tsunami depends also on the vulnerability of neighboring structures and hence its hazard and vulnerability should not be assessed separately. The distribution of tsunami height varies so significantly that the traditional definition parallel to that in seismic risk should be modified. Besides, previous studies on the probability of tsunami focused on the occurrence possibility of tsunami hazard in a fixed period of time, but this i

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Richard, Billy. "Assessment of Vulnerability of Escape Building against Earthquake and Tsunami at Padang City." Journal of the Civil Engineering Forum 4, no. 3 (2018): 253. http://dx.doi.org/10.22146/jcef.34034.

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Earthquake occurred in September 30th, 2009 was the worst in the history of earthquake in West Sumatera. Damages of buildings were the main causes of human casualties at that time. The Regional Disaster Management Agency (Badan Penanggulangan Bencana Daerah, BPBD) of West Sumatera has conducted tsunami and earthquake mitigation, one of them is to prepare the Temporary Evacuation Site (TES) as a vertical-evacuation building allowing people to escape from tsunami attack in Padang City. This research was intended for evaluating and mapping the vulnerability potentials of all escape buildings to t

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Fujisaki, Koichi, Yasutomo Morita, Toshio Kajitani, et al. "Survey on Railway Operator Actions and Preparedness in Transportation Against 2010 Chile Earthquake Tsunami and 2011 Tohoku Earthquake Tsunami." Journal of Earthquake and Tsunami 08, no. 02 (2014): 1450006. http://dx.doi.org/10.1142/s1793431114500067.

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The preparedness and the emergency management against tsunami are an increasingly important issue for public transportation operators. The current state of these two is studied by conducting the hearing and questionnaire survey for domestic operators, in addition to the hearing by the national and local governments, focusing on actual actions taken against the 2010 Chile Earthquake Tsunami and the 2011 Tohoku Earthquake Tsunami. Critical issues are discussed in order to promote the preparedness against Tokai–Tonankai–Nankai Earthquake Tsunami which is likely to occur in the near future.

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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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Gupta, Harsh K. "The Great 26 December 2004 Tsunami." Habitable Planet 1, no. 1&2 (2025): 34–42. https://doi.org/10.63335/j.hp.2025.0004.

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Before the occurrence of the 26 December 2004 mega-tsunami caused by the Mw 9.2 Sumatra earthquake, there was no tsunami warning facility in the Indian Ocean, and one depended on the tsunami advisories being issued by the Pacific Tsunami Warning Center and the Japan Meteorological Agency. Many of these issued advisories were later withdrawn, causing a lot of inconvenience to a large population residing along the east coast of India. From a study of past tsunami sources, we discovered that there are only two areas, which can host tsunamigenic earthquakes in the Indian Ocean. This finding was ac

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Nakazawa, Hiroshi, Tadashi Hara, and Koichi Kajiwara. "Issues in Tsunami Countermeasures from the Viewpoint of Geotechnical Engineering." Journal of Disaster Research 16, no. 6 (2021): 922–28. http://dx.doi.org/10.20965/jdr.2021.p0922.

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The 2011 off the Pacific coast of Tohoku Earthquake, with its epicenter off the Sanriku coast, measured the moment magnitude of 9.0, had a maximum seismic intensity of 7 in the northern part of Miyagi Prefecture, and impacted an area of 450 km. Consequently, a variety of unprecedented problems were made apparent. In particular, the human and property damage wrecked by the ensuing tsunami triggered our response for earthquake and tsunami resistance. In addition to conventional issues, such as earthquake resistance of buildings, disruption of lifelines, liquefaction of residential land and soil

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Priadi, Ramadhan, Dede Yunus, Berlian Yonanda, and Relly Margiono. "Analysis of Tsunami Inundation due in Pangandaran Tsunami Earthquake in South Java Area Based on Finite Faults Solutions Model." Jurnal Penelitian Fisika dan Aplikasinya (JPFA) 10, no. 2 (2020): 114. http://dx.doi.org/10.26740/jpfa.v10n2.p114-124.

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On July 17, 2006 an earthquake with a magnitude of 7.7 triggered a tsunami that struck 500 km of the coast in the south of the island of Java. The tsunami generated is classified as an earthquake tsunami because the waves generated were quite large compared to the strength of the earthquake. The difference in the strength of the earthquake and the resulting tsunami requires a tsunami modeling study with an estimated fault area in addition to using aftershock and scaling law. The purpose of this study is to validate tsunamis that occur based on the estimation of the source mechanism and the are

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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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Wuwungan, Cynthia, Guntur Pasau, and Seni Herlina Juita Tongkukut. "Pemodelan Perambatan Gelombang Tsunami di Laut Banda Berdasarkan Skenario Gempa 8.0 dan 9.0 Mw." Jurnal MIPA 10, no. 2 (2021): 55. http://dx.doi.org/10.35799/jmuo.10.2.2021.34006.

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Penelitian ini dilakukan untuk menentukan waktu tiba perambatan gelombang dan tinggi gelombang tsunami di Kota Ambon dan sekitarnya dengan melakukan simulasi tsunami menggunakan software ComMIT. Simulasi dijalankan menggunakan skenario yang mengasumsikan kekuatan gempa 8.0 Mw dan 9.0 Mw. Titik koordinat gempa 4.31˚ LU dan 128.61˚ BT. 10 detektor dalam bentuk virtual (tide gauge) dibuat untuk mendapatkan nilai waktu tiba dan tinggi gelombang tsunami. Hasilnya menunjukkan bahwa tsunami tercepat dengan ketinggian 2.17 m tiba pada detik ke-566 dengan mengasumsikan gempa 8.0 Mw dan gempa 9.0 Mw mem

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M, A. Sarker (PhD). "Numerical Modelling of a Potential Major Tsunami in the Arakan Subduction Zone (Bay of Bengal)." European Journal of Advances in Engineering and Technology 9, no. 7 (2022): 35–43. https://doi.org/10.5281/zenodo.10646180.

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<strong>ABSTRACT</strong> A major earthquake (Mw 8.8) occurred in the Arakan subduction zone on 2 April 1762 generating a tsunami. Another similar earthquake in future cannot be ruled out. In this paper initial tsunami levels for a potential Mw 8.5 earthquake have been generated using the MIKE21 Toolbox developed by DHI [1]. Then numerical modelling of tsunami propagation has been carried out using the MIKE21 Flow Model [2]. Sample results from the modelling study are presented in the paper. The model could be used to simulate any tsunami generated anywhere within the Bay of Bengal. The method

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