Overview
Explore the current state of earthquake prediction in this 42-minute lecture by seismologist Marine A. Denolle at the Radcliffe Institute for Advanced Study. Delve into new methods, data harnessing, and short-term forecasting advancements that may lead to improved earthquake prediction capabilities. Examine topics such as seismic radiation from large plate-boundary earthquakes, ground motion amplification in urban sedimentary basins, earthquake cycles, and early warning systems. Learn about the challenges in predicting earthquake magnitude and aftershocks, and discover how machine learning is being applied to this field. Gain insights into fracture mechanics, earthquake size scaling, and specific case studies from Indonesia and Japan.
Syllabus
Introduction
Alpine Fall
Time Series
Earthquake Cycles
Earthquake Series
Earthquake Prediction
Time Theory
Slip
FourSharks
Cascade Model
New Creation
Earthquake Early Warning System
Earthquake Determinism
Scaling
Fracture Mechanics
Earthquake Size
Indonesia Earthquake
Japan Earthquake
Prediction of magnitude
Machine learning
Prediction of aftershocks
Taught by
Harvard University