Speaker: Dr. Mattia Parolari (Universidad Nacional Autónoma de México - Institute of Geology) - Thursday 12 January - ore 16,30 | Aula Arduino
12.01.2023
At convergent margins, continents are unceasingly constructed and destroyed by arc magmatism and subduction, respectively. Interestingly, these opposing processes are intimately linked together.
17th November 2022 - 4.30 Pm - Room Arduino
17.11.2022
After some months that Lorenzo Petronio has unexpectedly passed away, former professor of the Master's Degree in “Geophysics for Natural Risks and Resources”, colleagues and friends remember his activity with a workshop about some of the topics he contributed to develop.
Speaker: Dr. Gianluca Gola, CNR - Institute of Geosciences and Earth Resources, Pisa (Italy) - Thursday 24 November - 4,30 pm | Aula Arduino
24.11.2022
Geothermal energy, defined as the thermal energy stored in the Earth, is considered a critical renewable energy source for the future, capable of contributing to environmentally friendly carbon-neutral energy conversion. To evaluate the underground geothermal potential, the knowledge of the temperature distribution with depth is a key aspect.
Speaker: Prof. Chris Marone (Università di Roma La Sapienza, Dipartimento di Scienze della Terra) - 1st Dicembre - 4,30 pm | Aula Arduino
01.12.2022
This talk will summarize how machine learning (ML) is being used with both active and passive lab seismic data to predict lab earthquakes. These works show: 1) that ML can predict the timing and magnitude of labquakes using acoustic emissions (AE) that originate in the lab fault zone and 2) that in addition to these passive measurements of lab AE, active source measurements of changes in fault zone elastic properties during the lab seismic cycle can be used to predict lab earthquakes.
Speaker: Dott. Alberto Michelini, IDS GeoRadar s.r.l., Pisa (Italy) - Thursday 10 November - 4,30 pm | Aula Arduino
10.11.2022
Ground-based radar interferometry (GBRI) is a remote sensing imaging technique based on coherent radar systems, which can measure not only the amplitude, but also the phase of the microwave signals. The phase measurements can then be exploited to derive information on the deformation and topography
