15:30 〜 15:45
*庄 建倉1、Sornette Didier2 (1. 統計数理研究所、2. 南方科技大学)
[E] 口頭発表
セッション記号 S (固体地球科学) » S-SS 地震学
2026年5月27日(水) 15:30 〜 17:00 展示場特設会場 (6) (幕張メッセ国際展示場 7・8ホール)
座長:Bozzi Emanuele、Grigoli Francesco(University of Pisa)、青木 陽介(東京大学地震研究所)
In the last two decades, the number of high-quality seismic instruments installed worldwide has grown exponentially and likely will continue to grow in the coming decades, producing larger and larger datasets. This dramatic increase in the volume of available seismic data is partially due to the rising popularity of new technologies for seismic data acquisition based on fiber optics, characterized by an extremely high spatial and temporal sampling. Such systems are making seismological datasets grow in size and variety at an exceptionally fast rate, pushing the limit of current data analysis techniques. This data explosion, combined with new data analysis paradigms, including AI-based methods, is opening new research horizons in Seismology and related fields. Exploiting the massive amount of data is a challenge that can be overcome by adopting new approaches for seismic data analysis that can lead to enhanced seismic catalogs that can be used in conjunction with advanced statistical and physics-based methods to forecast seismicity or to correlate the seismic activity with other geophysical processes, including stress changes, migration of fluids in the crust or slow-slip. This session aims to bring to light new methods for the analysis - either offline or in real-time - and quantitative interpretation of earthquake datasets collected across different scales and environments or with new seismic data acquisition technologies, such as fiber-optics-based sensors. Relevant topics include but are not limited to methods for seismicity acquisition and characterization, statistical analysis of seismicity patterns and their relationship with aseismic processes, modeling and forecasting of seismicity, earthquake triggering and case studies. We thus encourage contributions that demonstrate how the proposed methods or the analysis of large datasets help to improve our understanding of earthquake and/or volcanic processes.
15:30 〜 15:45
*庄 建倉1、Sornette Didier2 (1. 統計数理研究所、2. 南方科技大学)
15:45 〜 16:00
*森田 晃生1、Enescu Bogdan1、Mirwald Aron2、榎本 倫太郎1 (1. 京都大学大学院理学研究科地球惑星科学専攻、2. Swiss Seismological Service, ETH Zurich)
16:00 〜 16:15
*Giacomo Rapagnani1, Sebastian Heimann2, Simone Cesca3, Gilberto Saccorotti4, Francesco Grigoli1 (1. University of Pisa, 2. University of Potsdam, 3. GFZ, Helmholtz Centre for Geosciences, Potsdam, 4. INGV, Pisa)
16:15 〜 16:30
*Niptika Jana1, Chandrani Singh2, Arun Singh2, Mita Uthaman3 (1. Indian Institute of Technology (Indian School of Mines) Dhanbad, 2. Indian Institute of Technology Kharagpur, 3. Florida International University)
16:30 〜 16:45
*Sergio Gammaldi1, Iván Cabrera Pérez2, Ivan Koulakov3,4, Luca D’Auria5,6, Graziella Barberi7, Rubén García Hernández5, David Martínez van Dorth5,6, Víctor Ortega Ramos5, Janire Prudencio8, Monika Przeor5,9, Jesús M. Ibáñez8 (1. Istituto Nazionale di Geofisica e Vulcanologia - Osservatorio Vesuviano, 2. Department of Earth Sciences, University of Geneva, Geneva, Switzerland, 3. Skolkovo Institute for Science and Technology, Skoltech, Moscow, Russia, 4. Trofimuk Institute of Petroleum Geology and Geophysics SB RAS, Novosibirsk, Russia, 5. Instituto Volcanológico de Canarias (INVOLCAN), Tenerife, Spain, 6. Instituto Tecnológico y de Energías Renovables (ITER), Polígono Industrial de Granadilla, Tenerife, Spain, 7. Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania – Osservatorio Etneo, Catania, Italy, 8. Department of Theoretical Physics and Cosmos, Science Faculty, University of Granada, Granada, Spain, 9. Invert Sàrl, Echichens, Switzerland)
16:45 〜 17:00
*Roberto Fontana1, Simone Capaccioli2,3, Massimiliano Razzano2,3, Francesco Fidecaro2,3, Gilberto Saccorotti4, Maria Marsella3,5, Giacomo Rapagnani1, Sonja Gaviano6, Carlo Giunchi4, Marco Olivieri4, Domenico D'Urso3,4,7, Michele Punturo3, Francesco Grigoli1 (1. Department of Earth Sciences, University of Pisa (Pisa, Italy), 2. Department of Physics, University of Pisa (Pisa, Italy), 3. Istituto Nazionale di Fisica Nucleare (INFN) (Italy), 4. Istituto Nazionale di Geofisica e Vulcanologia (INGV) (Italy), 5. Department of Civil, Building and Environmental Engineering, Sapienza University of Rome (Rome, Italy), 6. Karlsruher Institut für Technologie, 7. Department of Chemical, Physical, Mathematical, and Natural Sciences, University of Sassari (Sassari, Italy))
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