Earthquake sequences frequently diverge from simple mainshock-aftershock models, exhibiting complex spatio-temporal patterns and moment release. This complexity is especially prevalent in volcanic regions, where earthquake swarms and pronounced foreshock activity occur across various tectonic settings, challenging established earthquake laws (e.g., Båth's law, Omori-Utsu, and Gutenberg-Richter). Proposed triggering mechanisms encompass changes in pore pressure, aseismic slip events such as creep and slow slip, stress perturbations induced by magma, and interactions between earthquakes.
Recent advancements in earthquake catalog generation, utilizing machine learning, template matching, and double-difference techniques, offer unprecedented resolution for investigating complex seismic sequences, identifying triggering mechanisms, and elucidating underlying physical processes. This session aims to assemble research on earthquake swarms and complex seismic sequences from a range of natural or induced settings and spatial scales.
Contributions are invited that analyze earthquake swarms and complex seismic sequences with respect to spatio-temporal evolution, frequency-magnitude distributions, scaling properties, and triggering mechanisms. Submissions employing laboratory and numerical modeling to simulate mechanical conditions leading to swarm-like and complex seismic sequences are also encouraged. The objective is to synthesize knowledge from diverse tectonic environments to advance understanding of the physical processes governing complex seismic sequences. Multidisciplinary studies integrating deformation data, geophysical imaging, geological analysis, and fluid geochemistry are particularly welcome.