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Nocquet教授とBletery教授のセミナー(3月22日)

Seminar by Profs. Nocquet and Bletery

セミナー等

SEMINARS

更新日:2023.03.20

Updated: 2023.03.20

フランスGeoazur から2人の研究者が防災研に滞在しております。
せっかくの機会ですので、お二人にセミナーをお願いしました。
お時間の許す方は、ぜひご参加ください。

Profs. Nocquet and Bletery from Geoazur, France visit DPRI.

Date and Time: PM3-5, March 22, 2023
Place: Hybrid style
In-person:E232D, Main building, Uji Campus, Kyoto University
On-line: Zoom


PM3:00-4:00 Prof. Jean-Mathieu Nocquet (Institut de Recherche pour le Développement)
Title:
Relationships between afterslip, Slow Slip Events and large earthquakes: new observations along the South America subduction zone.
Abstract
Slip along subduction interface occurs either through fast earthquakes or slow aseismic slip. Here, I will describe a new approach allowing for describing the fault slip and fault slip rate evolution through time from GNSS time series. Applying this approach, I will show that some modulations of slip rate occur during the afterslip that followed the Illapel Mw 8.3 2015 earthquake in Chile and after the 2016 Mw 7.8 Pedernales earthquake in Ecuador. Both results show that (1) afterslip occurs at areas experiencing Slow Slip Events (SSEs) during the interseismic phase (2) areas of SSEs appear to delimit the extent of future large seismic rupture. Finally, I will show some examples highlighting the precise time evolution of slip during some SSEs.


PM 4:00-5:00 Prof. Quentin Bletery (Institut de Recherche pour le Développement)
Title: Detection of early seismic signals using Artificial Intelligence
Abstract:
Can Artificial Intelligence (AI) provide early information on earthquakes that could be used to mitigate hazard ? I will show how an AI algorithm can extract the recently identified light-speed elasto-gravity signals which are recorded by seismograms with extremely small amplitudes and use the extracted signals to improve both the accuracy and rapidity of the magnitude estimation of very large earthquakes. I will then present ongoing studies on the potential detection of earthquake precursory signals and discuss the possibilities offered by AI in the quest for earthquake prediction.

フランスGeoazur から2人の研究者が防災研に滞在しております。
せっかくの機会ですので、お二人にセミナーをお願いしました。
お時間の許す方は、ぜひご参加ください。

Profs. Nocquet and Bletery from Geoazur, France visit DPRI.

Date and Time: PM3-5, March 22, 2023
Place: Hybrid style
In-person:E232D, Main building, Uji Campus, Kyoto University
On-line: Zoom


PM3:00-4:00 Prof. Jean-Mathieu Nocquet (Institut de Recherche pour le Développement)
Title:
Relationships between afterslip, Slow Slip Events and large earthquakes: new observations along the South America subduction zone.
Abstract
Slip along subduction interface occurs either through fast earthquakes or slow aseismic slip. Here, I will describe a new approach allowing for describing the fault slip and fault slip rate evolution through time from GNSS time series. Applying this approach, I will show that some modulations of slip rate occur during the afterslip that followed the Illapel Mw 8.3 2015 earthquake in Chile and after the 2016 Mw 7.8 Pedernales earthquake in Ecuador. Both results show that (1) afterslip occurs at areas experiencing Slow Slip Events (SSEs) during the interseismic phase (2) areas of SSEs appear to delimit the extent of future large seismic rupture. Finally, I will show some examples highlighting the precise time evolution of slip during some SSEs.


PM 4:00-5:00 Prof. Quentin Bletery (Institut de Recherche pour le Développement)
Title: Detection of early seismic signals using Artificial Intelligence
Abstract:
Can Artificial Intelligence (AI) provide early information on earthquakes that could be used to mitigate hazard ? I will show how an AI algorithm can extract the recently identified light-speed elasto-gravity signals which are recorded by seismograms with extremely small amplitudes and use the extracted signals to improve both the accuracy and rapidity of the magnitude estimation of very large earthquakes. I will then present ongoing studies on the potential detection of earthquake precursory signals and discuss the possibilities offered by AI in the quest for earthquake prediction.

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© Research Center for Earthquake Hazards.

© Research Center for Earthquake Hazards.