Session outline
| Solid Earth Sciences (S) | ||
|---|---|---|
| Session Sub-category | Technology & Techniques(TT) | |
| Session ID | S-TT48 | |
| Title | Advancing Earth Science through Fiber Optic Sensing Techniques and Integrated Analysis | |
| Short Title | Fiber Optic Sensing in Geosciences | |
| Main Convener | Name | Masatoshi Miyazawa |
| Affiliation | Disaster Prevention Research Institute, Kyoto University | |
| Co-Convener 1 | Name | Francesco Grigoli |
| Affiliation | University of Pisa | |
| Co-Convener 2 | Name | Eiichiro Araki |
| Affiliation | Japan Agency for Marine-Earth Science and Technology | |
| Co-Convener 3 | Name | Kentaro Emoto |
| Affiliation | Graduate School of Science, Kyushu University | |
| Co-Convener 4 | Name | Takeshi Tsuji |
| Affiliation | Department of Systems Innovation, the University of Tokyo | |
| Session Language |
E |
|
| Scope |
Fiber optic sensing is revolutionizing Earth science by transforming telecommunication cables into dense, multipurpose sensor arrays. Techniques such as Distributed Acoustic/Strain Sensing (DAS/DSS) and Distributed Temperature Sensing (DTS) provide unprecedented spatial resolution for monitoring vibration, strain, and temperature, enabling high-fidelity observations that surpass conventional point measurements in seismology, geodesy, and volcanology. However, significant challenges remain in the integrated analysis of this novel strain data with traditional seismic (velocity/acceleration) and geodetic measurements, as well as in the technical difficulty of maintaining a high signal-to-noise ratio over long-distance cables. This session invites contributions that address such challenges and advance the use of fiber optic sensing. We seek presentations on innovative observation strategies for both on-shore and off-shore environments; novel data analysis methods, including machine learning for handling massive datasets; and compelling case studies that deepen our understanding of earthquakes, volcanoes, and tectonics. The goal is to foster collaboration to overcome current hurdles and pioneer the next generation of integrated seismic and geodetic observation networks, thereby fully unlocking the potential of fiber optic technologies to reveal new insights into Earth science. |
|
| Presentation Format | Oral and Poster presentation | |
| Invited Authors |
Ettore Biondi (Stanford University) |
|
| Time | Presentation No | Title | Presenter |
|---|---|---|---|
| Oral Presentation May 28 PM1 | |||
| 13:45 - 14:00 | STT48-01 | Distributed acoustic sensing for high-resolution subsurface imaging and earthquake monitoring | Ettore Biondi |
| 14:00 - 14:15 | STT48-02 | Validation of distributed acoustic sensing for tsunami monitoring using simultaneous pressure gauge observations: a case study of the tsunami by 2025 Kamchatka earthquake. | Shun Fukushima |
| 14:15 - 14:30 | STT48-03 | Simultaneous seismic observation by DAS and accelerometers using off-Sanriku seafloor cable system without dark fiber | Masanao Shinohara |
| 14:30 - 14:45 | STT48-04 | Numerical experiments of tsunami-induced crustal strain: towards fiber optic sensing observation | Ayumu Mizutani |
| 14:45 - 15:00 | STT48-05 | Distributed Fiber-Optic Sensing on a Telecommunication Cable in the Tokara Islands Region in the Vicinity of Earthquake Swarm Sources | Eiichiro Araki |
| 15:00 - 15:15 | STT48-06 | Integrated Seismic Observations of the Marmara Sea from Distributed Acoustic Sensing (DAS) and Ocean-Bottom Seismometers (OBS) | JI ZHANG |
| Oral Presentation May 28 PM2 | |||
| 15:30 - 15:45 | STT48-07 | Estimating Source Process of Micro-to-Small Earthquakes by Slantstacking DAS records | Yuki Funabiki |
| 15:45 - 16:00 | STT48-08 | Enhancing seismicity location resolution by integrating DAS and conventional sensors | Emanuele Bozzi |
| 16:00 - 16:15 | STT48-09 | Automatic Arrival Time Picking for DAS Observation Data Using Machine Learning Models with Seismic Waveform Feature Parameters | Shigeki Horiuchi |
| 16:15 - 16:30 | STT48-10 | Reconstruction of Particle Velocity Field and Noise Suppression for High-Density DAS Data Using Physics-Informed Neural Operators | ISAO KUROSAWA |
| 16:30 - 16:45 | STT48-11 | An image-based denoising workflow for distributed acoustic sensing data | Giulio Pascucci |
| 16:45 - 17:00 | STT48-12 | Sediment corrections for submarine DAS records toward automated compilation of an earthquake catalog | Akiko Toh |
| Oral Presentation May 29 AM1 | |||
| 9:00 - 9:15 | STT48-13 | Characteristics of low frequency earthquakes and monitoring of its activity using distributed acoustic sensing aound the Tsugaru Strait | Satoru Baba |
| 9:15 - 9:30 | STT48-14 | Feasibility of subsurface structure imaging using DAS with fiber optics in the Kinugawa Region | Shohei Naito |
| 9:30 - 9:45 | STT48-15 | Rayleigh-wave scattering mean free path estimated from DAS coherence along National Route 47 (NW Miyagi) | Katsuhiro Yabu |
| 9:45 - 10:00 | STT48-16 | Detectability of Seismic Weak Localization with DAS: Simulation and Application at Sakurajima Volcano | Yoshiaki Nakamura |
| 10:00 - 10:15 | STT48-17 | Time-lapse monitoring of seismic velocity changes at Sakurajima using DAS-based seismic interferometry | Takashi Hirose |
| 10:15 - 10:30 | STT48-18 | Moisture-controlled heat diffusion in soil for thermal properties assessment measured using distributed fibre-optic sensing | Ashis Acharya |
| Presentation No | Title | Presenter |
|---|---|---|
| Poster Presentation May 28 PM3 | ||
| STT48-P01 | Seismic Monitoring and S-wave Velocity Structure Analysis of the Hunga Volcano with Distributed Acoustic Sensing on an Active Telecommunication Cable | Shunsuke Nakao |
| STT48-P02 | Volcanic and seismic monitoring the Izu Islands using DAS via seafloor telecommunication cables | Masaru Nakano |
| STT48-P03 | Vibration Monitoring in the Off-Tonankai Cable by Distributed Acoustic Sensing (3) | Masayuki Tanaka |
| STT48-P04 | Relocation of deep low-frequency earthquakes along the Nankai subduction zone using Distributed Acoustic Sensing (DAS) | Takumi Takahashi |
| STT48-P05 | Distributed strain sensing along a fiber optic cable in the Noto Peninsula using Rayleigh Frequency Acoustic and Strain (RFAS) technology | Masatoshi Miyazawa |
| STT48-P06 | Detection of S-Wave Reflectors in the Lower Crust in the Oku-Noto Region using DAS Records | Tomomitsu Hamano |
| STT48-P07 | Estimation of seismic velocity structure between Makurazaki and Takeshima, Japan, using Distributed Acoustic Sensing (DAS) | Akari Baba |
| STT48-P08 | DAS-VSP field experiment using Portable Active Seismic Source (PASS) | Toshinori Kimura |
| STT48-P09 | A workflow for synthetic DAS data generation | Francesco Grigoli |
| STT48-P10 | Experiments on Detecting Railway Rockfalls, Pedestrian Intrusions, and Loading Events with Distributed Acoustic Sensing | Hiroaki Yamahana |
| STT48-P11 | Experimental Evaluation of DAS under Strong Shaking and Interpretation of Observed Strain Signals via Internal Cable Modeling | Satoshi Katakami |