[HTML][HTML] Innovations in earthquake risk reduction for resilience: Recent advances and challenges
Abstract The Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR) highlights
the importance of scientific research, supporting the 'availability and application of science …
the importance of scientific research, supporting the 'availability and application of science …
The 2023 US 50-state national seismic hazard model: Overview and implications
MD Petersen, AM Shumway, PM Powers… - Earthquake …, 2024 - journals.sagepub.com
The US National Seismic Hazard Model (NSHM) was updated in 2023 for all 50 states using
new science on seismicity, fault ruptures, ground motions, and probabilistic techniques to …
new science on seismicity, fault ruptures, ground motions, and probabilistic techniques to …
NGA-West2 equations for predicting PGA, PGV, and 5% damped PSA for shallow crustal earthquakes
We provide ground motion prediction equations for computing medians and standard
deviations of average horizontal component intensity measures (IMs) for shallow crustal …
deviations of average horizontal component intensity measures (IMs) for shallow crustal …
NGA-West2 ground motion model for the average horizontal components of PGA, PGV, and 5% damped linear acceleration response spectra
KW Campbell, Y Bozorgnia - Earthquake Spectra, 2014 - journals.sagepub.com
We used an expanded PEER NGA-West2 database to develop a new ground motion
prediction equation (GMPE) for the average horizontal components of PGA, PGV, and 5 …
prediction equation (GMPE) for the average horizontal components of PGA, PGV, and 5 …
Update of the Chiou and Youngs NGA model for the average horizontal component of peak ground motion and response spectra
BSJ Chiou, RR Youngs - Earthquake Spectra, 2014 - journals.sagepub.com
We present an update to our 2008 NGA model for predicting horizontal ground motion
amplitudes caused by shallow crustal earthquakes occurring in active tectonic …
amplitudes caused by shallow crustal earthquakes occurring in active tectonic …
Machine learning in seismology: Turning data into insights
This article provides an overview of current applications of machine learning (ML) in
seismology. ML techniques are becoming increasingly widespread in seismology, with …
seismology. ML techniques are becoming increasingly widespread in seismology, with …
STanford EArthquake Dataset (STEAD): A global data set of seismic signals for AI
Seismology is a data rich and data-driven science. Application of machine learning for
gaining new insights from seismic data is a rapidly evolving sub-field of seismology. The …
gaining new insights from seismic data is a rapidly evolving sub-field of seismology. The …
PEER NGA-east database
This article documents the earthquake ground motion database developed for the NGA-East
Project, initiated as part of the Next Generation Attenuation (NGA) research program and led …
Project, initiated as part of the Next Generation Attenuation (NGA) research program and led …
Probabilistic seismic hazard analysis at regional and national scales: State of the art and future challenges
Seismic hazard modeling is a multidisciplinary science that aims to forecast earthquake
occurrence and its resultant ground shaking. Such models consist of a probabilistic …
occurrence and its resultant ground shaking. Such models consist of a probabilistic …
Machine learning in ground motion prediction
This paper studies the advantages and disadvantages of different machine learning
techniques in predicting ground-motion intensity measures given source characteristics …
techniques in predicting ground-motion intensity measures given source characteristics …