About this Research Topic
A number of physical mechanisms cause seismic activity at volcanoes. These processes can be modeled using the character of seismic waveforms and the distribution of seismic events in space and time (including but not limited to, migration patterns of earthquake swarms). Their interpretation can be commonly aided by seismically imaging the physical properties of the crust, enabling scientists to infer the distribution of magma and magma-derived fluids, and characterize both the dynamic changes in stress and the response of rock and fractures within it. Independent constraints provided by other disciplines also significantly help scientists to understand the volcanic processes. Recent advances in earthquake recording technology, computing power and algorithms in artificial intelligence, allow processing and interpretation of large and complex multi-parametric datasets and scenarios. The end result is an enhanced understanding of magmatic systems and more robust forecast of future volcanic activity.
We aim to attract original research articles using seismic datasets to understand the processes acting in volcanic areas and their evolution in space and time. Such studies are critical for building a picture of how, when and where molten rock and volatile phases move and are stored in the crust, and how fluids interact with stressed and fractured rock. We also encourage submission of Data Reports, Brief Research Reports, and Technology and Code format articles. We especially encourage contributions dealing with:
• Observational and theoretical studies that use earthquake swarms and complex sequences to understand fluid migration and rock-fluid interaction processes such as transient stress changes, pore pressure diffusion, creeping events, and the interaction between volcanic and tectonic stresses;
• Studies that handle waveform data to model seismic sources and which image the seismic properties beneath volcanic areas with innovative methodologies;
• Multi-disciplinary studies that interpret seismic activity by incorporating observations and models from fields such as geodesy, structural geology, electrical imaging, and simulations from numerical and analog scenarios.
Keywords: earthquakes, magma, stress, volcano, fault, fluid
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