Achievements and prospects of global broadband seismographic networks after 30 years of continuous geophysical observations
Global seismographic networks (GSNs) emerged during the late nineteenth and early
twentieth centuries, facilitated by seminal international developments in theory, technology …
twentieth centuries, facilitated by seminal international developments in theory, technology …
Rapid characterization of the February 2023 Kahramanmaraş, Türkiye, earthquake sequence
Abstract The 6 February 2023 M w 7.8 Pazarcık and subsequent M w 7.5 Elbistan
earthquakes generated strong ground shaking that resulted in catastrophic human and …
earthquakes generated strong ground shaking that resulted in catastrophic human and …
Rapid earthquake response: The state-of-the art and recommendations with a focus on European systems
Abstract Systems for Rapid Response to Earthquakes (RRE) aim at providing reliable and
near-real time ground-motion and loss estimates following an earthquake, in order to help …
near-real time ground-motion and loss estimates following an earthquake, in order to help …
Real‐time regional seismic damage assessment framework based on long short‐term memory neural network
Effective post‐earthquake response requires a prompt and accurate assessment of
earthquake‐induced damage. However, existing damage assessment methods cannot …
earthquake‐induced damage. However, existing damage assessment methods cannot …
A deep learning approach to rapid regional post‐event seismic damage assessment using time‐frequency distributions of ground motions
Every year, earthquakes result in severe economic losses and a significant number of
casualties worldwide. In limiting the losses that occur after these extreme events, timely and …
casualties worldwide. In limiting the losses that occur after these extreme events, timely and …
Twitter earthquake detection: earthquake monitoring in a social world
The US Geological Survey (USGS) is investigating how the social networking site Twitter, a
popular service for sending and receiving short, public text messages, can augment USGS …
popular service for sending and receiving short, public text messages, can augment USGS …
Real-time seismic damage prediction and comparison of various ground motion intensity measures based on machine learning
After earthquakes, an accurate and efficient seismic-damage prediction is indispensable for
emergency response. Existing methods face the dilemma between accuracy and efficiency …
emergency response. Existing methods face the dilemma between accuracy and efficiency …
Rapid earthquake loss assessment based on machine learning and representative sampling
This article proposes a new framework for rapid earthquake loss assessment based on a
machine learning damage classification model and a representative sampling algorithm. A …
machine learning damage classification model and a representative sampling algorithm. A …
Real-time city-scale time-history analysis and its application in resilience-oriented earthquake emergency responses
The resilience of cities has received worldwide attention. An accurate and rapid assessment
of seismic damage, economic loss, and post-event repair time can provide an important …
of seismic damage, economic loss, and post-event repair time can provide an important …
Earthquake risk assessment
M Erdik - Bulletin of Earthquake Engineering, 2017 - Springer
The assessment of earthquake risk in portfolio, urban or regional scale constitutes an
important element in the mitigation of economic and social losses due to earthquakes …
important element in the mitigation of economic and social losses due to earthquakes …