- earthquake and tectonic studies
- Seismology and Earthquake Studies
- Seismic Waves and Analysis
- High-pressure geophysics and materials
- Geological and Geochemical Analysis
- Seismic Imaging and Inversion Techniques
- Iterative Learning Control Systems
- Medical Imaging and Analysis
Istituto Nazionale di Geofisica e Vulcanologia
2023-2024
Roma Tre University
2023-2024
Machine-learning algorithms are widely applied to facilitate human tasks. For instance, in seismology, they can help deliver high-resolution seismic catalogs including very small magnitude events that usually remain undetected by analysts and standard monitoring procedures. The new frontier of modern seismology is exploit deep neural networks (DNN) automatically detect P- S-wave arrival times obtain good-quality event locations terms hypocentral errors. Increasing the number phases...
Since magma and gas uprise accumulation into the crust differently affect seismic velocities, tomography is revealing a potential tool to detect how melt versus exsolved magmatic volatile phase reservoirs are distributed at depth volcanic plumbing systems. 4D (in space time) can temporal changes in enabling follow accumulation, crucial aspect monitoring open vent volcanoes unresting calderas. To achieve this goal we combined fully non-linear with improved fast phases detection allowed by...
Abstract Coseismic rupture and aftershock development on a fault plane are complex heterogeneous processes. The M w 6.1 L’Aquila 2009 normal faulting earthquake is perfect case to explore how geometry rheology influence the process aftershocks distribution. In this study, we use for first time dense set of data obtain enhanced images causative structure kilometer scale. hypocenter emergent onset mainshock took place within low V p / s volume, while large coseismic slip occurred few...
SUMMARY Moderate magnitude earthquakes and seismic sequences frequently develop on fault systems, but whether they are linked to future major ruptures is always ambiguous. In this study, we investigated a sequence that has developed within portion of the stretching region Apennines in Italy where moderate large likely occur. We captured total 2039 aftershocks 2023 September 18, Mw 4.9 earthquake occurred during first week, by using machine-learning (ML) based algorithms. Aftershocks align...
Abstract The triggering of large earthquakes by anthropic activities is a challenging issue in seismology, invoked also for the ML 5.9 and 5.8 Emilia 2012 destructive earthquakes. interaction between two that propagated along adjacent thrusts still an open issue. In this study, we used waveform cross correlation double-difference (DD) location methods to precisely relocate aftershock sequence get insights into fault geometry, structure, rheology means DD seismic tomography. Accurate...
<title>Abstract</title> The progressive increase of ground deformation, seismicity, and gas emission is marking a remarkable unrest at Campi Flegrei caldera. direct involvement magma has been invoked to explain the deformation space/time changes velocity anomalies shallow crustal depths. A challenging aspect forecast possible scenarios for upward migration magmatic fluids from source depth. Here, we show that most recent seismicity (period 2023–2024), derived by machine-learning-based...
The study of seismogenic faults is one the most interesting topics in seismology.&#160; Obtaining a more detailed image fault zone structure and its properties (e.g., fluid content, permeability, lithology, rheology) fundamental to understand how seismic ruptures originate, propagate arrest triggering processes.&#160; 2009 Mw 6.1 L&#8217;Aquila sequence perfect case reach this goal, thanks huge amount multidisciplinary data available.&#160;In study, we reprocess...
Correction| March 03, 2023 Erratum to Fault and Fluid Interaction during the 2012 Emilia (Northern Italy) Seismic Sequence Rossella Fonzetti; Fonzetti * 1Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy2Dipartimento Scienze della Terra, Università degli Studi Roma Tre, Italy *Corresponding author: rossella.fonzetti@uniroma3.it https://orcid.org/0000-0002-0719-8801 Search for other works by this author on: GSW Google Scholar Luisa Valoroso; Valoroso...