Seismic hazard

From Seismic Signals to Safer Trains: Italy’s First Earthquake Early Warning System for High-Speed Railways

Aldo Zollo and Simona Colombelli March 16, 2026

Image generated using ChatGPT 5.4

Earthquakes remain among the most disruptive natural hazards worldwide, capable of causing sudden loss of life, severe economic damage, and long-lasting societal impacts. One of the most effective tools developed in recent decades to mitigate these effects is Earthquake Early Warning (EEW), a real-time monitoring strategy that exploits a fundamental physical property of earthquakes: seismic waves ...[Read More]

Modern Solutions for Ancient Hazards: Speaking with Jacopo Selva, the 2024 EGU Plinius Medalist

Naveen Ragu Ramalingam July 23, 2024

With Antonio Costa, Mark Bebbington, and Heidi Kreibich during the EGU24 award lecture

Jacopo Selva is an associate professor at the University of Naples Federico II, Italy, and a former researcher at the Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy. His research on seismic, volcanic, and tsunami hazards has been instrumental in advancing our understanding of these natural phenomena, particularly by developing probabilistic methods for hazard assessment and forecasti ...[Read More]

“Studying earthquakes is a great opportunity to learn every day a lot about many different fields of earth sciences” Yann Klinger- Stephan Mueller Medalist-2024

Shreya Arora March 11, 2024

Since 1900, the total number of casualties resulting from earthquakes is estimated to be around 1 billion lives (Dyvik, 2023) (Image by Tumisu, Pixabay licence)

Hi Yann, first of all, congratulations on the Stephan Mueller Medal, and it is my pleasure to interview you!! To all my readers, the Stephan Mueller Medal is one of the prestigious medals awarded for exceptional contributions to tectonics and structures by the European Geosciences Union (EGU). Dr Yann Klinger wears many hats, he is a seismologist who studies recent and past earthquakes and is al ...[Read More]

Advances in earthquakes forecasting pass through machine learning

Gabriele Amato January 25, 2021

image edited from https://www.information-age.com/how-kubernetes-extends-machine-learning-ml-123492360/

In today’s interview, we meet Dr Fabio Corbi, a researcher at IGAG-CNR, the Institute of Environmental Geology and Geoengineering of the Italian National Research Council. Fabio has experience in analogue modelling of megathrust earthquakes and he is currently exploring the potentiality of machine learning in this research field. Hi Fabio, would you briefly tell us about you and your career? ...[Read More]