Statistical Variability and Tokunaga Branching of Aftershock Sequences Utilizing BASS Model Simulations

• Published in: Pure and applied geophysics Vol. 170; no. 1-2; pp. 155 - 171
• Main Authors: Yoder, Mark R., Van Aalsburg, Jordan, Turcotte, Donald L., Abaimov, Sergey G., Rundle, John B.
• Format: Journal Article
• Language: English
• Published: Basel SP Birkhäuser Verlag Basel 01.01.2013; Springer Nature B.V
• Subjects: Bass; Computer simulation; Decay rate; Drainage patterns; Earth and Environmental Science; Earth Sciences; Earthquakes; Geophysics/Geodesy; Inverse; Law; Numerical analysis; Physics; Plate tectonics; Scaling laws; Seismic activity; Seismology; Shock waves; Simulation; Statistics; foreshocks; Tokunaga networks; ETAS model; Aftershocks; BASS model

Aftershock statistics provide a wealth of data that can be used to better understand earthquake physics. Aftershocks satisfy scale-invariant Gutenberg–Richter (GR) frequency–magnitude statistics. They also satisfy Omori’s law for power-law seismicity rate decay and Båth’s law for maximum-magnitude s...