Advanced Research in Seismic Monitoring and Big Data Analytics
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: 20 April 2026 | Viewed by 65
Special Issue Editor
Interests: seismology; seismic wave propagation; seismic tomography; earthquake physics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Earthquakes remain one of the most unpredictable and destructive natural hazards. Many regions of the world sit on active geological structures with high seismic potential, where even moderate events can have significant impacts. To better understand these risks, continuous monitoring of seismic activity is essential, not only for increasing seismic imaging resolution or identifying seismicity patterns but also for advancing hazard assessment.
Recent technological developments have had a significant impact on seismology. Artificial intelligence, Big Data Analytics, and Distributed Acoustic Sensing (DAS) now allow for rapid detection, source characterization, and continuous monitoring at unprecedented scales. These approaches complement traditional methods, allowing for the efficient processing of large datasets and enhancing our understanding of earthquake generation processes and the Earth’s structure.
This Special Issue aims to highlight these advances, focusing on innovative methods and their applications in seismology. We welcome contributions on new approaches to signal detection, event characterization, and Earth imaging, as well as studies showing how these tools improve our understanding of seismic processes and tectonic evolution.
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
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