Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Piero Brondi"'
Publikováno v:
Entropy, Vol 25, Iss 5, p 797 (2023)
Aftershocks of earthquakes can destroy many urban infrastructures and exacerbate the damage already inflicted upon weak structures. Therefore, it is important to have a method to forecast the probability of occurrence of stronger earthquakes in order
Externí odkaz:
https://doaj.org/article/7f6087a8d71546459e4b79b35815dc1e
Autor:
Giovanni Costa, Piero Brondi, Laura Cataldi, Stefano Cirilli, Arianna Cuius, Deniz Ertuncay, Piero Falconer, Luisa Filippi, Simone Francesco Fornasari, Veronica Pazzi, Philippe Turpaud
Publikováno v:
Sensors, Vol 22, Iss 15, p 5699 (2022)
A strong motion monitoring network records data that provide an excellent way to study how source, path, and site effects influence the ground motion, specifically in the near-source area. Such data are essential for updating seismic hazard maps and
Externí odkaz:
https://doaj.org/article/87b6a3f4af9b416a82a0215e16e752a5
In most of the recent intense earthquakes in Italy, a strong subsequent event (SSE) of comparable or higher magnitude was observed. Its effects, in combination with the strong mainshock, may lead to the collapse of already weakened buildings and to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2ca958d825b44b74da6141562a3bb82
https://doi.org/10.5194/egusphere-egu23-5729
https://doi.org/10.5194/egusphere-egu23-5729
It is widely known that large earthquakes are followed by aftershocks that can affect numerous facilities in a city and worsen the damage already suffered by vulnerable structures. In this study, we apply NESTORE machine learning algorithm to Greek s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b1a30575f1f44054ef8931710283dfe
https://doi.org/10.5194/egusphere-egu23-5738
https://doi.org/10.5194/egusphere-egu23-5738
Publikováno v:
Seismological Research Letters.
This article presents the first publicly available version of the NExt STrOng Related Earthquake (NESTORE) software (NESTOREv1.0) designed for the statistical analysis of earthquake clusters. NESTOREv1.0 is a MATLAB (www.mathworks.com/products/matlab
NESTORE (Next STrOng Related Earthquake) is a recently developed algorithm (Gentili & Di Giovambattista 2017, 2020) to recognize clusters in which a strong mainshock is followed by an aftershock of similar magnitude. Specifically, NESTORE labels clus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ebd4384b16fb4c2c7870ef4b3e1a5e2
https://doi.org/10.5194/egusphere-egu22-3959
https://doi.org/10.5194/egusphere-egu22-3959
Publikováno v:
Geophysical Research Letters. 44:4036-4045
We propose a P wave based procedure for the rapid estimation of the radiated seismic energy, and a novel relationship for obtaining an energy-based local magnitude (MLe) measure of the earthquake size. We apply the new procedure to the seismic sequen
Publikováno v:
Journal of Geophysical Research: Solid Earth. 120:7174-7189
Earthquake Early Warning Systems (EEWS) are potentially effective tools for risk mitigation in active seismic regions. The present study explores the possibility of predicting the macroseismic intensity within EEW timeframes using the squared velocit
Publikováno v:
Journal of Geophysical Research: Solid Earth. 120:2446-2465
When accompanied by appropriate training and preparedness of a population, Earthquake Early Warning Systems (EEWS) are effective and viable tools for the real-time reduction of societal exposure to seismic events in metropolitan areas. The Italian Ac