Earthquake Prediction using Seismic Information

Earthquake ground motion prediction using the ambient seismic field

[1] The waves generated by faulting represent the primary threat posed by most large earthquakes. The effect of complex geological structures, such as sedimentary basins, on earthquake ground motion is a source of particular concern. We show that it is possible to extract reliable phase and amplitude response that includes the effects of complex structure for the elastodynamic Green’s function ...

Computational Geodynamics for Seismic Hazard Analysis and Earthquake Prediction

Ground motion prediction of realistic earthquake sources using the ambient seismic field

[1] Predicting accurate ground motion is critical for earthquake hazard analysis, particularly in situations where sedimentary basins trap and amplify seismic waves. We exploit the information carried by the ambient seismic field to extract surface-wave Green’s functions between seismic stations and to predict long-period ground motion from earthquakes. To do so, we modify the surface impulse r...

Seismic Trace Interpolation using Adaptive Prediction Filters

A new seismic trace interpolation method based on adaptive prediction filters (PF) is introduced. In order to estimate local PFs, the contribution of adjacent windows of data to the process of local PF estimation is reduced via the introduction of a forgetting factor. Using a Recursive Least Square (RLS) algorithm, the problem of estimating PFs for each window of data is avoided and the local P...

Scaling of seismic memory with earthquake size.

It has been observed that discrete earthquake events possess memory, i.e., that events occurring in a particular location are dependent on the history of that location. We conduct an analysis to see whether continuous real-time data also display a similar memory and, if so, whether such autocorrelations depend on the size of earthquakes within close spatiotemporal proximity. We analyze the seis...