Human Geosciences (H) | ||
---|---|---|
Session Sub-category | Disaster geosciences(DS) | |
Session ID | H-DS11 | |
Title | Tsunami and tsunami forecast | |
Short Title | Tsunami and tsunami forecast | |
Main Convener | Name | Toshitaka Baba |
Affiliation | Graduate School of Science and Technology, Tokushima University | |
Co-Convener 1 | Name | Satoko Murotani |
Affiliation | National Museum of Nature and Science | |
Session Language |
J |
|
Scope |
This session discusses issues related to improving real-time and long-term prediction accuracy of tsunami from earthquakes, landslides, and volcanoes, which include such as a better understanding of tsunami dynamics, new real-time tsunami observing systems deployed in the open ocean and coastal waters, methodologies of more rapid and accurate prediction during tsunami emergencies, more extensive and accurate inundation maps, and long-term tsunami potential forecast. |
|
Presentation Format | Oral and Poster presentation |
Time | Presentation No | Title | Presenter |
---|---|---|---|
Oral Presentation May 31 AM2 | |||
10:45 - 11:00 | HDS11-01 | Predicting Tsunami Run-Up Characteristics through Comprehensive Computational Fluid Dynamics Analysis | Peiwei Xie |
11:00 - 11:15 | HDS11-02 | The effect of fault rupture dynamics during the 2015 Illapel event on tsunami generation | Kirill Sementsov |
11:15 - 11:30 | HDS11-03 | Tsunami Data Assimilation of High-Frequency Radar-Derived Surface Currents: Accounting for Measurement Error Distribution | Muhammad Irham Sahana |
11:30 - 11:45 | HDS11-04 | Study on the Tsunami Generation by Sector Collapse of Komagatake Volcano for Future Tsunami Warning System | Rinda Nita Ratnasari |
11:45 - 12:00 | HDS11-05 | The Worst Case on Simulation of Tsunami Triggered by Anak Krakatau Volcano Collapse for Decision Support System | Elmo Juanara |
Oral Presentation May 31 PM1 | |||
13:45 - 14:00 | HDS11-06 | Inverse modeling of tsunami source from the 2018 Anak Krakatau eruption and its sensitivity analysis | Tatok Yatimantoro |
14:00 - 14:15 | HDS11-07 | Airwave-tsunami source inversion using barometer data for the 2022 Tonga volcanic tsunami | Aditya R. Gusman |
14:15 - 14:30 | HDS11-08 | Feasibility Study of Tsunami Wave Source Estimation by Joint Inversion Using Tsunami-generated Infrasound Waves | Kan Okubo |
14:30 - 14:45 | HDS11-09 | Probabilistic Tsunami Hazard Assessment based on the long-term evaluation for earthquakes along the Kuril and Japan trenches: Part 2 | DOHI YUJI |
14:45 - 15:00 | HDS11-10 | Tsunami propagation predicted in the anchorage of Fukuyama Port | Atsushi Mukai |
Oral Presentation May 31 PM2 | |||
15:30 - 15:45 | HDS11-11 | Extraction of Tsunami Time-Series Data at Amaharashi Coast, Takaoka City, for the 2024 Noto Peninsula Earthquake from Live Camera Images | Masaaki MINAMI |
15:45 - 16:00 | HDS11-12 | Tsunami source area of the 2024 M7.6 Noto Peninsula earthquake estimated from the tsunami arrival times of the coastal tsunami records | Hiroaki Tsushima |
16:00 - 16:15 | HDS11-13 | The Impact of Submarine Landslides in Toyama Bay during the 2024 Noto Peninsula Earthquake Tsunami | Hideaki Yanagisawa |
16:15 - 16:30 | HDS11-14 | The Sofugan tsunami in October 2023: Wave amplification by repetitive tsunami generation | Osamu SANDANBATA |
16:30 - 16:45 | HDS11-15 | The Sofugan tsunami in October 2023: Accelerating submarine caldera uplift | Tatsuya Kubota |
Presentation No | Title | Presenter |
---|---|---|
Poster Presentation May 31 PM3 | ||
HDS11-P01 | What should we tsunami disaster prevention countermeasures in Osaka that based on lessons learned from the 2024 Noto Peninsula Earthquake? | Megumi Sugimoto |
HDS11-P02 | Conceptual overview for the tsunami generation in the Marmara Sea, Turkiye and 1 January 2024 Noto Peninsula, Japan earthquake: similarities, differences, challenges | CEREN OZER SOZDINLER |
HDS11-P03 | "Research, Development and Implementation Plan for the Ocean Decade Tsunami Programme" has launched | Yutaka Hayashi |
HDS11-P04 | Developing and enlarging of Tsunami Scenario Bank (TSB) and Tsunami waveform Database (TwDB) | Naotaka YAMAMOTO CHIKASADA |
HDS11-P05 | Analysis of sea level fluctuations to elucidate the propagation characteristics of tsunamis occurring in the Japan Sea | taiki yamaguchi |
HDS11-P06 | Estimation of fault rupture zone and submarine landslides scale for the 1596 CE Keicho Bungo earthquake by numerical tsunami simulations | Katsuya Maehashi |
HDS11-P07 | Tsunami Forecast Method Using Tsunami Data Assimilation with Real-time Source Estimation | Yota Atobe |
HDS11-P08 | Data Assimilation of Tsunami using Physics-Informed Neural Network (PINN) | Masayoshi Someya |
HDS11-P09 | Fault Model Estimation of the 1946 Showa Nankai Earthquake Based on the Nonlinear Joint Inversion Method | Masato Kamiya |
HDS11-P10 | Simulated coastal seafloor exposure during the 2011 Tohoku tsunami | Honoka Kikuta |
HDS11-P11 | Probabilistic Inundation Risk Assessment Incorporating Tide Level Variations | Tadashi Kito |
HDS11-P12 | Improvement of the Japan Tsunami Hazard Information Station (J-THIS): Enhancement of tsunami hazard information for great earthquakes along the Nankai Trough | DOHI YUJI |