The OGS–Northeastern Italy seismic and deformation network: Current status and outlook

PL Bragato, P Comelli, A Saraò… - Seismological …, 2021 - pubs.geoscienceworld.org
In this article, we describe the infrastructure developed and managed by the Italian National
Institute of Oceanography and Applied Geophysics–OGS for the seismological and geodetic …

Earthquake scenarios for building portfolios using artificial neural networks: part II—damage and loss assessment

P Kalakonas, V Silva - Bulletin of Earthquake Engineering, 2024 - Springer
Seismic risk assessment of building portfolios has been traditionally performed using
empirical ground motion models, and scalar fragility and vulnerability functions. The advent …

Rapid mapping of seismic intensity assessment using ground motion data calculated from early aftershocks selected by GIS spatial analysis

H Zhao, Y Jia, W Chen, D Kang… - … , Natural Hazards and …, 2023 - Taylor & Francis
Following a major earthquake, disaster information services must deliver accurate damage
assessment results during the emergency 'black box'phase when data is scarce. Seismic …

Utilization of crowdsourced felt reports to distinguish high‐impact from low‐impact earthquakes globally within minutes of an event

H Lilienkamp, R Bossu, F Cotton… - The Seismic …, 2023 - pubs.geoscienceworld.org
Rapid assessment of an earthquake's impact on the affected society is a crucial step in the
early phase of disaster management, navigating the need for further emergency response …

[HTML][HTML] Can high-school students contribute to seismic risk mitigation? Lessons learned from the development of a crowd-sourced exposure database

C Scaini, A Peresan, A Tamaro, V Poggi… - International Journal of …, 2022 - Elsevier
On a global scale, one out of three people is exposed to earthquakes, and most injuries and
deaths in case of seismic events are caused by the damage or collapse of residential …

A scenario-based approach for immediate post-earthquake rockfall impact assessment

M Alvioli, V Poggi, A Peresan, C Scaini, A Tamaro… - Landslides, 2024 - Springer
Different approaches exist to describe the seismic triggering of rockfalls. Statistical
approaches rely on the analysis of local terrain properties and their empirical correlation …

[HTML][HTML] Sharing the post-earthquake situation for emergency response management in transborder areas: The e-Atlas tool

S Grimaz, P Malisan, A Pividori - Journal of safety science and resilience, 2022 - Elsevier
Usually, the response after a disastrous event requires decision-makers in emergency
operative rooms to quickly outline and understand the current post-event situation, for …

A machine learning estimator trained on synthetic data for real-time earthquake ground-shaking predictions in Southern California

M Monterrubio-Velasco, S Callaghan… - … Earth & Environment, 2024 - nature.com
After large-magnitude earthquakes, a crucial task for impact assessment is to rapidly and
accurately estimate the ground shaking in the affected region. To satisfy real-time …

Near‐real‐time damage estimation for buildings based on strong‐motion recordings: An application to target areas in northeastern Italy

C Scaini, B Petrovic, A Tamaro… - … Society of America, 2021 - pubs.geoscienceworld.org
The rapid estimation of expected impacts in case of an earthquake is extremely important for
emergency managers and first responders. Current near‐real‐time damage assessment …

Neural‐Network and Multivariate‐Normal‐Distribution Hybrid Method for Real‐Time Ground‐Shaking Reconstruction

SF Fornasari, V Pazzi, G Costa - Bulletin of the …, 2024 - pubs.geoscienceworld.org
Ground‐shaking maps provide a spatial representation of the impact of a seismic event in
terms of ground‐motion parameters (GMPs), especially useful in the context of seismic …