Advanced Research in Seismic Monitoring and Activity Analysis
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: 20 October 2024 | Viewed by 2089
Special Issue Editor
Special Issue Information
Dear Colleagues,
In recent decades, multiple regions throughout the world have displayed differing types of active geological structures characterized by high seismic potential, making them particularly vulnerable to the impending possibility of catastrophic earthquake occurrences. Continuous, real-time monitoring of surface seismic activity around the world is of great interest for acquiring new insight into global tomography analyses and for the recognition of seismic patterns leading to potentially hazardous situations. In addition, over the past few years, artificial intelligence has demonstrated its effectiveness as a valuable asset in addressing different seismological challenges, such as earthquake detection and source classification. This contrasts standard methods which require extensive data processing periods or expensive computational resources. Detailed scientific research on seismic activity may provide key constraints related to earthquake generation forecasting and climate change as affected by topography or volcanic processes. Studies relating the physical process of the source, imaging the deep structure and active crustal deformation are helpful in allowing for understanding the mechanism of earthquake generation and modelling the waveform propagation effects, to provide a theoretical basis for reducing earthquake disaster.
This Special Issue aims to highlight advances in the development of new techniques and analytical methods. These can be applied to signal detection, and processing, source characterization and seismic imaging to characterize seismic activity (i.e., detection, location, magnitude and source mechanism estimation, seismic tomography and ambient noise seismology) and emphasize tectonic evolution at various scales within different environments. We encourage methodological contributions as well as key applications, which demonstrate how these new technologies and/or methods help improve our understanding of the physical processes governing earthquakes, as well as the Earth’s architecture.
Dr. Felix Borleanu
Guest Editor
Manuscript Submission Information
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Keywords
- seismic monitoring
- earthquake physics
- seismic imaging
- seismic ambient noise
- induced seismicity
- seismology
- artificial intelligence
